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NY Times: What is your opposite job? August 15, 2017

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer.
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The opposite job of an economist is an agricultural grader.

Economists use these skills the most Agricultural Graders use these skills the most
1

Number facility

1

Trunk strength

2

Mathematics

2

Handling and moving objects

3

Mathematical reasoning

3

Manual dexterity

4

Systems analysis

4

Foreign language

5

Written expression

5

Public safety and security

6

Judgment and decision making

6

Static strength

7

Oral expression

7

Arm-hand steadiness

8

Writing

8

Controlling machines and processes

9

Critical thinking

9

Finger dexterity

10

Complex problem solving

10

Production and processing

Economists use these skills the least Agricultural Graders use these skills the least
1

Ability to focus on one sound among distractions

1

Information ordering

2

Depth perception

2

Far vision

3

Finger dexterity

3

Pattern recognition

4

Hearing sensitivity

4

Near vision

5

Visual color discrimination

5

Making decisions and solving problems

6

Multitasking

6

Reading comprehension

7

Management of material resources

7

Active learning

8

Management of financial resources

8

Complex problem solving

9

Visualization

9

Processing information

10

Selective attention

10

Time management

The opposite job of an athlete and sport competitor is an agricultural grader.

Athletes and Sports Competitors use these skills the most Agricultural Graders use these skills the most
1

Explosive strength

1

Trunk strength

2

Dynamic strength

2

Handling and moving objects

3

Stamina

3

Manual dexterity

4

Gross body coordination

4

Foreign language

5

Dynamic flexibility

5

Public safety and security

6

Personnel and human resources

6

Static strength

7

Developing objectives and strategies

7

Arm-hand steadiness

8

Ability to maintain balance

8

Controlling machines and processes

9

Developing and building teams

9

Finger dexterity

10

Coaching and developing others

10

Production and processing

Athletes and Sports Competitors use these skills the least Agricultural Graders use these skills the least
1

Equipment maintenance

1

Information ordering

2

Ability to organize groups in different ways

2

Far vision

3

Quality control analysis

3

Pattern recognition

4

Troubleshooting

4

Near vision

5

Number facility

5

Making decisions and solving problems

6

Operation and control

6

Reading comprehension

7

Mathematics

7

Active learning

8

Ability to determine where a sound comes from

8

Complex problem solving

9

Mathematical reasoning

9

Processing information

10

Science

10

Time management

The opposite job of a taxi driver and chauffeur is a physicist.

Taxi Drivers and Chauffeurs use these skills the most Physicists use these skills the most
1

Peripheral vision

1

Physics

2

Ability to determine where a sound comes from

2

Mathematical reasoning

3

Ability to react quickly in response to signals

3

Number facility

4

Ability to to time movements in anticipation of moving objects

4

Ability to organize groups in different ways

5

Night vision

5

Information ordering

6

Spatial orientation

6

Mathematics

7

Transportation

7

Oral comprehension

8

Glare sensitivity

8

Mathematics

9

Reaction time

9

Originality

10

Multitasking

10

Speech clarity

Taxi Drivers and Chauffeurs use these skills the least Physicists use these skills the least
1

Computers and electronics

1

Performing general physical activities

2

Interacting with computers

2

Handling and moving objects

3

Education and training

3

Operation and control

4

Ability to organize groups in different ways

4

Customer and personal service

5

Management of personnel resources

5

Production and processing

6

Coordinating the work and activities of others

6

Assisting and caring for others

7

Repairing

7

Personnel and human resources

8

Information ordering

8

Drafting, laying out and specifying technical devices, parts and equipment

9

Perceptual speed

9

Performing for or working directly with the public

10

Near vision

10

Controlling machines and processes

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Time Series Data and Machine Learning August 15, 2017

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Data Science, Econometrics, Economics, Uncategorized.
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Anomaly Detection of Time Series Data Using Machine Learning & Deep Learning


Introduction to Time Series Data

By Jagreet, XenonStack,  June 23, 2017


Time Series is defined as a set of observations taken at a particular period of time. For example, having a set of login details at regular interval of time of each user can be categorized as a time series. On the other hand, when the data is collected at once or irregularly, it is not taken as a time series data.

Time series data can be classified into two types –

  • Stock Series – It is a measure of attributes at a particular point in time and taken as a stock takes.

  • Flow Series – It is a measure of activity at a specific interval of time. It contains effects related to the calendar.

Time series is a sequence that is taken successively at the equally pace of time. It appears naturally in many application areas such as economics, science, environment, medicine, etc. There are many practical real life problems where data might be correlated with each other and are observed sequentially at the equal period of time. This is because, if the repeatedly observe the data at a regular interval of time, it is obvious that data would be correlated with each other.

With the use of time series, it becomes possible to imagine what will happen in the future as future event depends upon the current situation. It is useful to divide the time series into historical and validation period. The model is built to make predictions on the basis of historical data and then this model is applied to the validation set of observations. With this process, the idea is developed how the model will perform in forecasting.

Time Series is also known as the stochastic process as it represents the vector of stochastic variables observed at regular interval of time.

Components of Time Series Data

 

In order to analyze the time series data, there is a need to understand the underlying pattern of data ordered at a particular time. This pattern is composed of different components which collectively yield the set of observations of time series.

The Components of time series data are given below –

  • Trend

  • Cyclical

  • Seasonal

  • Irregular

Components of Time Series Data

Trend – It is a long pattern present in the time series. It produces irregular effects and can be positive, negative, linear or nonlinear. It represents the variations of low frequency and the high and medium frequency of data is filtered out from the time series.

If the time series does not contain any increasing or decreasing pattern, then time series is taken as stationary in the mean.

There are two types of the trend –

  1. Deterministic – In this case, the effects of the shocks present in the time series are eliminated i.e. revert to the trend in long run.

  2. Stochastic – It is the process in which the effects of shocks are never eliminated as they have permanently changed the level of the time series.

The stochastic process having a stationarity around the deterministic process is known as trend stationary process.

Cyclic – The pattern exhibit up and down movements around a specified trend is known as cyclic pattern. It is a kind of oscillations present in the time series. The duration of cyclic pattern depends upon the industries and business problems to be analysed. This is because the oscillations are dependable upon the business cycle.

They are larger variations that are repeated in a systematic way over time. The period of time is not fixed and usually composed of at least 2 months in duration. The cyclic pattern is represented by a well-shaped curve and shows contraction and expansion of data.

Seasonal – It is a pattern that reflects regular fluctuations. These short-term movements occur due to the seasonal factors and custom factors of people. In this case, the data faces regular and predictable changes that occurred at regular intervals of calendar. It always consist of fixed and known period.

The main sources of seasonality are given below –

  • Climate

  • Institutions

  • Social habits and practices

  • Calendar

How is the seasonal component estimated?

If the deterministic analysis is performed, then the seasonality will remain same for similar interval of time. Therefore, it can easily be modelled by dummy variables. On the other hand, this concept is not fulfilled by stochastic analysis. So, dummy variables are not appropriate because the seasonal component changes throughout the time series.

Different models to create a seasonal component in time series are given below –

  • Additive Model – It is the model in which the seasonal component is added with the trend component.

  • Multiplicative Model – In this model seasonal component is multiplied with the intercept if trend component is not present in the time series. But, if time series have trend component, sum of intercept and trend is multiplied with the seasonal component.

Irregular – It is an unpredictable component of time series. This component cannot be explained by any other component of time series because these variational fluctuations are known as random component. When the trend cycle and seasonal component is removed, it becomes residual time series. These are short term fluctuations that are not systematic in nature and have unclear patterns.

Difference between Time Series Data and Cross-Section Data

 

Time Series Data is composed of collection of data of one specific variable at particular interval of time. On the other hand, Cross-Section Data is consist of collection of data on multiple variables from different sources at a particular interval of time.

Collection of company’s stock market data at regular interval of year is an example of time series data. But when the collection of company’s sales revenue, sales volume is collected for the past 3 months then it is taken as an example of cross-section data.

Time series data is mainly used for obtaining results over an extended period of time but, cross-section data focuses on the information received from surveys at a particular time.

What is Time Series Analysis?

 

Performing analysis of time series data is known as Time Series Analysis. Analysis is performed in order to understand the structure and functions produced by the time series. By understanding the mechanism of time series data a mathematical model could easily be developed so that further predictions, monitoring and control can be performed.

Two approaches are used for analyzing time series data are –

  • In the time domain

  • In the frequency domain

Time series analysis is mainly used for –

  • Decomposing the time series

  • Identifying and modeling the time-based dependencies

  • Forecasting

  • Identifying and model the system variation

Need of Time Series Analysis

 

In order to model successfully, the time series is important in machine learning and deep learning. Time series analysis is used to understand the internal structure and functions that are used for producing the observations. Time Series analysis is used for –

  • Descriptive – In this case, patterns are identified in correlated data. In other words, the variations in trends and seasonality in the time series are identified.

  • Explanation – In this understanding and modeling of data is performed.

  • Forecasting – Here, the prediction from previous observations is performed for short term trends.

  • Invention Analysis – In this case, effect performed by any event in time series data is analyzed.

  • Quality Control – When the specific size deviates it provides an alert.

Applications of Time Series Analysis

 

Applications of Time Series Analysis

 

Time Series Database and its types

Time series database is a software which is used for handling the time series data. Highly complex data such higher transactional data is not feasible for the relational database management system. Many relational systems does not work properly for time series data. Therefore, time series databases are optimised for the time series data. Various time series databases are given below –

  • CrateDB

  • Graphite

  • InfluxDB

  • Informix TimeSeries

  • Kx kdb+

  • Riak-TS

  • RRDtool

  • OpenTSDB

Types of Time Series Database

What is Anomaly?

 

Anomaly is defined as something that deviates from the normal behaviour or what is expected. For more clarity let’s take an example of bank transaction. Suppose you have a saving bank account and you mostly withdraw Rs 10,000 but, one day Rs 6,00,000 amount is withdrawn from your account. This is unusual activity for bank as mostly, Rs 10,000 is deducted from the account. This transaction is an anomaly for bank employees.

The anomaly is a kind of contradictory observation in the data. It gives the proof that certain model or assumption does not fit into the problem statement.

Different Types of Anomalies

 

Different types of anomalies are given below –

  • Point Anomalies – If the specific value within the dataset is anomalous with respect to the complete data then it is known as Point Anomalies. The above mentioned example of bank transaction is an example of point anomalies.

  • Contextual Anomalies – If the occurrence of data is anomalous for specific circumstances, then it is known as Contextual Anomalies. For example, the anomaly occurs at a specific interval of period.

  • Collective Anomalies – If the collection of occurrence of data is anomalous with respect to the rest of dataset then it is known as Collective Anomalies. For example, breaking the trend observed in ECG.

Models of Time Series Data

 

ARIMA Model – ARIMA stands for Autoregressive Integrated Moving Average. Auto Regressive (AR) refers as lags of the differenced series, Moving Average (MA) is lags of errors and I represents the number of difference used to make the time series stationary.

Assumptions followed while implementing ARIMA Model are as under –

  • Time series data should posses stationary property: this means that the data should be independent of time. Time series consist of cyclic behaviour and white noise is also taken as a stationary.

  • ARIMA model is used for a single variable. The process is meant for regression with the past values.

In order to remove non-stationarity from the time series data the steps given below are followed –

  • Find the difference between the consecutive observations.

  • For stabilizing the variance log or square root of the time series data is computed.

  • If the time series consists of the trend, then the residual from the fitted curve is modulated.

ARIMA model is used for predicting the future values by taking the linear combination of past values and past errors. The ARIMA models are used for modeling time series having random walk processes and characteristics such as trend, seasonal and nonseasonal time series.

Holt-Winters – It is a model which is used for forecasting the short term period. It is usually applied to achieve exponential smoothing using additive and multiplicative models along with increasing or decreasing trends and seasonality. Smoothing is measured by beta and gamma parameters in the holt’s method.

  • When the beta parameter is set to FALSE, the function performs exponential smoothing.

  • The gamma parameter is used for the seasonal component. If the gamma parameter is set to FALSE, a non-seasonal model is fitted.

How to find Anomaly in Time Series Data

 

AnomalyDetection R package –

It is a robust open source package used to find anomalies in the presence of seasonality and trend. This package is build on Generalised E-Test and uses Seasonal Hybrid ESD (S-H-ESD) algorithm. S-H-ESD is used to find both local and global anomalies. This package is also used to detect anomalies present in a vector of numerical variables. Is also provides better visualization such that the user can specify the direction of anomalies.

Principal Component Analysis –

It is a statistical technique used to reduce higher dimensional data into lower dimensional data without any loss of information. Therefore, this technique can be used for developing the model of anomaly detection. This technique is useful at that time of situation when sufficient samples are difficult to obtain. So, PCA is used in which model is trained using available features to obtain a normal class and then distance metrics is used to determine the anomalies.

Chisq Square distribution –

It is a kind of statistical distribution that constitutes 0 as minimum value and no bound for the maximum value. Chisq square test is implemented for detecting outliers from univariate variables. It detects both lowest and highest values due to the presence of outliers on both side of the data.

What are Breakouts in Time Series Data?

 

Breakout are significant changes observed in the time series data. It consist of two characteristics that are given below –

  • Mean shift – It is defined as a sudden change in time series. For example the usage of CPU is increased from 35% to 70%. This is taken as a mean shift. It is added when the time series move from one steady state to another state.

  • Ramp Up – It is defined as a sudden increase in the value of the metric from one steady state to another. It is a slow process as compared with the mean shift. It is a slow transition process from one stable state to another.

In Time series often more than one breakouts are observed.

How to detect Breakouts in Time Series Data?

 

In order to detect breakouts in time series Twitter has introduced a package known as BreakoutDetection package. It is an open source package for detecting breakouts at a fast speed. This package uses E-Divisive with Medians (EDM) algorithm to detect the divergence within the mean. It can also be used to detect the change in distribution within the time series.

Need of Machine Learning and Deep Learning in Time Series Data

 

Machine learning techniques are more effective as compared with the statistical techniques. This is because machine learning have two important features such as feature engineering and prediction. The feature engineering aspect is used to address the trend and seasonality issues of time series data. The issues of fitting the model to time series data can also be resolved by it.

Deep Learning is used to combine the feature extraction of time series with the non-linear autoregressive model for higher level prediction. It is used to extract the useful information from the features automatically without using any human effort or complex statistical techniques.

Anomaly Detection using Machine Learning

 

There are two most effective techniques of machine learning such as supervised and unsupervised learning.

Firstly, supervised learning is performed for training data points so that they can be classified into anomalous and non-anomalous data points. But, for supervised learning, there should be labeled anomalous data points.

Another approach for detecting anomaly is unsupervised learning. One can apply unsupervised learning to train CART so that prediction of next data points in the series could be made. To implement this, confidence interval or prediction error is made. Therefore, to detect anomalous data points Generalised ESD-Test is implemented to check which data points are present within or outside the confidence interval

The most common supervised learning algorithms are supervised neural networks, support vector machine learning, k-nearest neighbors, Bayesian networks and Decision trees.

In the case of k-nearest neighbors, the approximate distance between the data points is calculated and then the assignment of unlabeled data points is made according to the class of k-nearest neighbor.

On the other hand, Bayesian networks can encode the probabilistic relationships between the variables. This algorithm is mostly used with the combination of statistical techniques.

The most common unsupervised algorithms are self-organizing maps (SOM), K-means, C-means, expectation-maximization meta-algorithm (EM), adaptive resonance theory (ART), and one-class support vector machine.

Anomaly Detection Using Machine Learning

Anomaly Detection using Deep Learning

 

Recurrent neural network is one of the deep learning algorithm for detecting anomalous data points within the time series. It consist of input layer, hidden layer and output layer. The nodes within hidden layer are responsible for handling internal state and memory. They both will be updated as the new input is fed into the network. The internal state of RNN is used to process the sequence of inputs. The important feature of memory is that it can automatically learns the time-dependent features.

The process followed by RNN is described below –

First the series of data is fed into the RNN model. After that, model will train the series of data to compute the normal behaviour. After computing, whenever the new input is fed into the trained network, it will be able to classify the input as normal and expected, or anomalous.

Training of normal data is performed because the quantity of abnormal data is less as compared with the normal data and provides an alert whenever any abnormal activity is observed in the future.

Anomaly Detection using Deep Learning

Time Series Data Visualization

 

Data Visualization is an important and quickest way for picturizing the time series data and forecasting. The different types of graphs are given below:

  • Line Plots.

  • Histograms and Density Plots.

  • Box and Whisker Plots.

  • Heat Maps.

  • Lag Plots or Scatter Plots.

  • Autocorrelation Plots.

The above techniques are used for plotting univariate time series data but they can also be used for multivariate time series when more than one observation is dependent upon time.

They are used for the representation of time series data to identify trends, cycles, and seasonality from time series and observe how they can influence the choice of model.

Summary

 

Time Series is defined as sequence of data points. The components of time series are responsible for the understanding of patterns of data. In time series, anomalous data points can also be there.

Therefore, there is a need to detect them. Various statistical techniques are mentioned in blog that are used but machine learning and deep learning are essential.

In machine learning, supervised learning and unsupervised learning is used for detecting anomalous data. On the other hand, in deep learning recurrent neural network is used.


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Financialization Has Turned the Global Economy Into a House of Cards July 27, 2017

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Kan dubbifnerra walii qooduuf.
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Financialization Has Turned the Global Economy Into a House of Cards: An Interview With Gerald Epstein

Sunday, July 23, 2017By C.J. Polychroniou, Truthout | Interview

 

Contemporary capitalism revolves around neoliberalism, globalization and financialization, with the latter being the dominant force in this triad. Yet, there is still confusion about the nature and dynamics of financialization, including its impact on the economy. What is clear, however, is that capitalism has become quite prone to regular and systemic crises under financialization as the system now thrives ever increasingly on debt and quick profits. In this interview, professor of economics and co-director of the Political Economy Research Institute at the University of Massachusetts at Amherst, Gerald Epstein, a leading authority on financialization, sheds light on finance capital and why it needs to be brought under control.

… [F]inancialization can lead to economic expansion or stagnation, depending on the relative size of these factors. But it almost always increases inequality. In addition, it almost always leads to financial instability and even crises.

Source: Truth Out.  Click here to read the full article.

Collective Voice: Is happiness priceless July 17, 2017

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Uncategorized.
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Grade 9 students in the Collective Voice program at Aden Bowman Collegiate share their lives and opinions through columns. Selected columns run each Monday in The Saskatoon StarPhoenix. The phrase ‘money can’t buy happiness’ is all too familiar. Money and happiness are both vital and relevant to my life and the lives of all  people in our society.

Money is motivation to go to work and attend school in order to get a higher paying job. A full bank account may buy you a lavish vacation, a sports car or a nice house, but will it buy you happiness?

Being happy has a unique meaning to every individual. I consider myself to be a happy person. I give to others, I am content with my life and I surround myself with positive experiences and people. According to an article in New Statesman, a British magazine, the five ingredients for a happy life are basic biological needs, security, relationships, respect and life purpose — in that order.

Money is not on that list. Yet money can support things that make us happy, like social outings and vacations.

Read more

via Collective Voice: Is happiness priceless? — Saskatoon StarPhoenix

The evidence almost always wins May 27, 2017

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Uncategorized.
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Odaa OromooOromianEconomist

 

‘You can lose your faith. You can’t lose facts. In the end, the evidence almost always wins, as it did for Napoleon, as it will for Trump. And instead of tasting the sweet fruit of gradual accomplishment, they drank the bitter brew of abject failure. Many of them, in this moment, would find that ego that had whispered affirmations in their ears for so long, was now saying something quite different. It’s not a way to live. It’s not a way to do big things. It’s a way to fail big.’

 

Ryan Holiday InstagramYou have to believe in yourself, they say. “If you don’t, who will?” goes the seductive logic. When no one else believed in me, I believed in myself. And so a seemingly empowering but innocuous phrase has been inscribed on a million inspirational quote images, been the subject of countless self-help books and…

via I Don’t Have Faith In Myself, I Have Evidence — Thought Catalog

What Is Social Intelligence? Why Does It Matter? May 5, 2017

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer.
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 Intelligence, or IQ, is largely what you are born with. Genetics play a large part. Social intelligence (SI), on the other hand, is mostly learned. SI develops from experience with people and learning from success and failures in social settings. It is more commonly referred to as “tact,” “common sense,” or “street smarts.”

What are the key elements of social intelligence?  Click here to read the full article by   Ronald E Riggio Ph.D. Cutting-Edge Leadership


Emotional intelligence starts with understanding your own emotions (self-awareness), then being able to manage them (self-regulation) and use them to achieve your goals (self-motivation).

Once you are able to understand and manage yourself, then you start to understand the emotions and feelings of others (empathy) and finally to influence them (social skills).

Read more at: https://www.skillsyouneed.com/ips/social-skills-emotional-intelligence.html

 

It’s no secret that good leaders are also good communicators.  And the best leaders have learned that effective communication is as much about authenticity as the words they speak and write.

Indeed, communication and leadership are inextricably tied. How can you galvanize, inspire or guide others if you don’t communicate in a clear, credible, authentic way?

Here are 5 essential communication practices of effective leaders.  Click here to read at  Forbes  the 5 Habits of Highly Effective Communicators: Mind the say-do gap. Make the complex simple. Find your own voice. Be visible. Listen with your eyes as well as your ears. 

How to Spot a Bad Leader: Click here to learn the tactics used by leaders from hell.

 

Great leaders are people with the skills, commitment, and character that we want to emulate. The very best lead by example and aren’t afraid to roll up their sleeves and work side-by-side with followers. They are Optimistic and Inspirational.   Great leaders build bridges, not walls.  They do the right things.  They don’t abuse or “damage” followers in the process.  They unite, not divide.  And, they leave the followers and the team/organization/country better off than when they began to lead.

Oromia: Knoweldge and Society: Mammaaksa Oromoo March 4, 2017

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Afaan Oromoo, African Literature, Black History, Chiekh Anta Diop, Culture, Cushtic, Indigenous People, Kemetic Ancient African Culture, Khemetic Africa's culture, Oromia, Oromiyaa, Oromo, Oromo Art, Oromo Literature, Oromo Wisdom, Uncategorized.
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OOromianEconomist
True Knowledge is wisdom.  The Oromo value wisdom to the highest degree: ‘Rather than to be kissed  by foolish man, I prefer to slapped by  a wise man.’ How is true knowledge acquired?  The Oromo proverbs  answers: By inference, by study, through suffering, by moulding another person, by heart. ‘  One who does not  understand  an inference  will never  understand  the thing as it is.. …  But the great school of knowledge is  experience, long life and old age. … The Oromo proverb  offers  no definition of  knowledge; they are not interested so much in nature of knowledge  as the type of knowledge  they propose  as  a model for  man-in-society, and  it is clearly  a knowledge  obtained through  experience through proximity  to the object, as ‘the calf  is known by the enclosure to have become a bull.’ See  Claud Summer, Ph.D., Dr.h.c (1995), Oromo Wisdom Literature,  Volume I , Proverbs Collection and Analysis.

Makmaaksa Oromoo (Oromo proverbs):

Abba hin qabdu akaakyuuf boochi
Abbaa iyyu malee ollaan namaa hin birmatu
Abbaan damma nyaateef ilma hafaan hin mi’aawu
Abbaatu of mara jedhe bofti hantuuta liqimsee
Abjuun bara beelaa buddeena abjoota
Addaggeen hamma lafa irra ejjettu nama irra ejjetti
Afaan dubbii bare bulluqa alanfata
Afaan gaariin afaa gaarii caala
Afaanii bahee gooftaa namaa ta’a
Akka madaa qubaa, yaadni garaa guba
Akka abalun sirbaan boquu nama jallisa
Akkuma cabannitti okkolu
Akukkuun yeroo argate dhakaa cabsa
Alanfadhuuti gara fira keetti garagalii liqimsi
ama of komatu namni hin komatu
Amartiin namaa hin taane quba namaa hin uriin
Ana haa nyaatuun beela hin baasu
Ani hin hanbifne, ati hin qalbifne
arrabni lafee hin qabdu lafee nama cabsiti
Asiin dhihoon karaa nama busha
“Aseennaa natu dide, kennaa warratu dide otoo nabutanii maal ta’a laata”,jette intalli haftuun
Badduun fira ishee yoo hamattee, baddubaatuun niiti ishee hamatti
Bakkka oolan irra bakka bulan wayya
Bakka kufte osoo hin taane, bakka mucucaatte bari
Balaliitee balaliite allaattiin lafa hin hanqattu

Bara bofti nama nyaate lootuun nama kajeelti!!
Bara dhibee bishaan muka namatti yaaba
Bara fuggisoo harreen gara mana, sareen gara margaa
Barri gangalata fardaati
Beekaan namaa afaan cufata malee hulaa hin cufatu
Biddeena nama quubsu eelee irratti beeku
Billaachi otoo ofii hin uffatiin dhakaatti uffisti
Bishaan gu’a gahe nama hin nyaatiin, namni du’a gahe si hin abaariin
Bishaan maaltu goosa jennaan waan achi keessa jiru gaafadhu jedhe
Bishingaan otoo gubattuu kofalti
Boru hin beekneen qad-bukoon ishee lama
Boftii fi raachi hanga ganni darbutti wal faana jiraattu
Bulbuluma bulbuli hangan dhugu anuu beeka
Buna lubbuuf xaaxa’u warri naa tolii kadhatu
Cabsituun tulluu amaaraatiin giraancee jetti
Citaan tokko luqqaasaniif manni hin dhimmisu
Dabeessa uleen (jirmi) shani
Daddaftee na dhungateef dhirsa naa hin taatu jette sanyoon
Dawaa ofii beekan namaa kudhaamu
Deegan malee waqayyo hin beekani
dhalli namaa otoo nyaattu diida laalti
Dhirsi hamaan maaf hin nyaatiin jedha niitii dhaan
Dhirsaa fi niitiin muka tokko irraa muramu
Dugda hin dhungatan, hunda hin dubbatani
Durbaa fi jiboota garaa gogaa lenjisu
Iyyuuf bakkeen naguma, dhiisuuf laphee na guba
Dhuufuun waliin mari’atanii dhuufan hin ajooftu
Diimina haaduun nyaatani,diimaa arrabaan nyaatu
Dinnichi bakka gobbitetti hordaa cabsiti
Doqnaa fi garbuu sukkuumanii nyaatu
Du’aan dhuufaa jennaan kan bokoke dhiisaa jedhe
Dubbii baha hin dhorkani galma malee
Dubbii jaarsaa ganama didanii galgala itti deebi’ani
Duulli biyya wajjinii godaansa
Eeboo darbatanii jinfuu hin qabatani
Edda waraabessi darbee sareen dutti
Fagaatan malee mi’aa biyyaa hin beekani
Farda kophaa fiiguu fi nama kophaa himatu hin amaniin
Firri gara firaa jennaan kal’een gara loonii jette
Foon lafa jira allaatti samii irraa wal lolti
foon lakkayi jennaan rajijjin tokko jedhe
fokkisaan nama qabata malee nama hin kadhatu
Fuula na tolchi beekumsi ollaa irraa argamaa jette intalli
Gaangeen abbaan kee eenyu jennaan eessumni koo farda jette
Gaangoonn haada kutte jennaan oftti jabeessite jedhani
Gabaan fira dhaba malee nama dhabinsa hin iyyitu
Galaanni bakka bulu hin beekne dhakaa gangalchee deema
Gaalli yoom bade jennaan, gaafa morma dheeratu bade

Gama sanaa garbuun biile (asheete) jennan warra sodaanne malee yoom argaa dhabne jedhe  jaldeessi
Gamna gowomsuun jibba dabalachuu dha
Ganaman bahani waaqa jalaahin bahani
Gara barii ni dukkanaa’a
Garaa dhiibuu irra miila dhiibuu wayya
Garbittii lubbuuf walii gadi kaattu, warri qophinaafi se’u
Jaalalli allaatti gara raqaatti nama geessa
Gaashatti dhuufuun daalattii dha
Gogaa duugduun yoo dadhabdu saree arisaa kaati
Gola waaqayyoo itti nama hidhe lookoo malee ijaajju
Goomattuuf goommanni hin margu
Goondaan walqabattee laga ceeti
Gowwaa wajjin hin haasa’iin bakka maleetti sitti odeessa, karaa jaldeesaa hin hordofiin halayyaa nama geessa
Gowwaan ballessaa isaa irraa barat, gamni balleessaa gowwaa irraa barata
Gowwaan bishaan keessa ijaajjee dheebota
Gowwaan gaafa deege nagada
Gubattee hin agarre ibiddatti gamti
Guulaa hin bitiin jiilaa biti
Gowwaa kofalchiisanii, ilkee lakawu
Gowwaa fi bishaan gara itti jallisan deemu
Haadha gabaabduu ijoolleen hiriyaa seeti
haadha laalii intala fuudhi
Haadha yoo garaa beekan ilmoo jalaa qabani
Halagaa ilkaan adii, halangaan isaa sadi
Hanqaaquu keessa huuba barbaada
Haati ballaa (suuloo) ya bakkalcha koo jetti
Haa hafuun biyya abbaa ofiitti nama hanbisa
Haati hattuun intala hin amantu
Haati hattuun intala hin amantu
Haati kee bareeddi jennaan, karaa kana dhufti eegi jedhe
Habbuuqqaa guddinaaf hin quufani
Hagu dhiba jette sareen foksoo nyaatte
Hagu dhiba jette sareen foksoo nyaattee
Halagaa gaafa kolfaa fira gaafa golfaa

Hantuunni hadha ishee jalatti gumbii uruu bartii

Harka namaatiin ibidda qabaa hin sodaatani
Harki dabaruu wal dhiqxi
Harkaan Gudunfanii, Ilkaaniin Hiikkaa Dhaqu
Harree ganama badee, galgala kur-kuriin hin argitu
Harree hin qabnu, waraabessa wajjin wal hin lollu
Kan harree hin qabne farda tuffata
Harreen nyaattu na nyaadhu malee bishaan ol hin yaa’u jette waraabessaan
Harreen yoo alaaktu malee yoo dhuuftu hin beektu
Hidda malee xannachi hin dhiigu
Hidda mukaa lolaan baaseetu, hidda dubbii farshoo (jimaa)n baase
Hidhaa yoo tolcha, gadi garagalchanii baatu

hin guddattuu jennaan baratu dhumee jedhe
Hiriyaa malee dhaqanii gaggeessaa malee galu
hiyyeessaf hin qalani kan qalame nyaata
Hoodhu jennaan diddeetu lafa keenyaan hatte
Hoolaan abbaa abdatte, diboo duuba bulchiti
Hoolaan gaafa morma kutan samii(waaqa) arkiti
Ija laafettiin durbaa obboleessaf dhalti
Ijoollee bara quufaa munneen ibidda afuufa
Ijoollee hamtuun yoo nyaataaf waaman ergaaf na waamu jettee diddi
Ijoolleen abaa ishee dabeessa hin seetu
Ijoolleen quufne hin jett, garaatu na dhukube jetti malee
Ijoolleen quufne hin jettu beerri fayyaa bulle hin jettu
Ijoolleen niitii fuute gaafa quuftu galchiti
Ijoollee qananii fi farshoo qomocoraa warratu leellisa
Ijoollee soressaa dhungachuun gabbarsuu fakkaatti
Ilkaan waraabessaa lafee irratti sodaatu
Ilmi akkoon guddiftu dudda duubaan laga ce’a
Intalli bareedduun koomee milaatiin beekamti
Intallii haati jajju hin heerumtu
Itti hirkisaan kabaa hin ta’u
Ittiin bulinnaa sareen udaan namaa nyaatti
Jaamaan boru ijji keen ni banamti jennaan, edana akkamitin arka jedhe
Jaarsi dhukuba qofaa hin aaduu, waan achisutu garaa jira
Jaarsii fi qalqalloon guutuu malee hin dhaabatu
Jabbiin hootu hin mar’attu
Jaalalli jaldeessa yeroo fixeensaa garaa jalatti, yeroo bokkaa dugda irratti nama baatti
Jaalala keessa adurreen ilmoo nyaatti
Jaalalli allaatti gara raqaatti nama geessa
Jarjaraan re’ee hin horu
Jarjaraan waraabessaa gaafa ciniina
Jibicha korma ta’u elmaa irratti beeku
Jiraa ajjeesuun jalaa callisuu dha
Kadhatanii galanii weddisaa hin daakani
Kan abbaan gaafa cabse halagaan gatii cabsa

Kan abbaan quba kaa’e oromi(namni, halagaan) dhumdhuma kaa’a
Kan afaanii bahee fi kan muccaa bahehin deebi’u
Kan bishaaan nyaate hoomacha qabata
Kan citaa qabaa tokko namaa hin kennine mana bal’isii gorsiti
Kan dandeessu dhaan jennaan gowwaan galee nitii dhaane Adaamiin ollaa hagamsaa jiru bara baraan boo’aa jiraata
Kan gabaa dhagahe gowwaan galee niitii dhokse
Kan hanna bare dooluutu sosso’a
Kan hordaa natti fiiges, kan haaduun natti kaates bagan arge jette saani du’uuf edda fayyitee booda
Kan humnaan lafaa hin kaane yaadaan Sudaanitti nagada
Kan ilkaan dhalchu kormi hin dhalchu
Kan namni nama arabsi irr, kan abbaan of arabsutu caala

kan qabuuf dabali jennaan harreen laga geesse fincoofte
Kan of jaju hin dogoggoru
Kan quufe ni utaala, kan utaale ni caba
Kan tolu fidi jennaan, sidaama biyya fide
Kan tuffatantu nama caala, kan jibbanitu nama dhaala
Kan tuta wajjin hin nyaanne hantuuta wajjin nyaatti
Kan waaqni namaa kaa’e cululleen hin fudhattu
Karaa foolii nun hin jedhani jette wacwacoon
Karaan baheef maqaan bahe hin deebi’u
Karaan sobaan darban, deebi’iitti nama dhiba
Karaa dheeraa milatu gabaabsa, dubbii dheeraa jaarsatu gabaabsa
Karaa fi halagaatu gargar nama baasa
Keessummaan waan dhubbattu dhabde mucaa kee harma guusi jetti
Keessummaan lolaa dha abbaatu dabarfata
Keessa marqaa boojjitootu beeka
Kijiba baranaa manna dhugaa bara egeree wayya
Kokkolfaa haati goota hin seetu
Kormi biyya isaatti bookkisu biyya namaatti ni mar’ata
Kursii irra taa’anii muka hin hamatani
Lafa rukuchuun yartuu ofiin qixxeessuu dha
Lafa sooriin du’e baataatu garmaama
Lafaa fuudhuutti ukaa nama bu’a

Lafti abdatan sanyii nyaatee namni abdatan lammii nyaate
Laga marqaa jennaan ijoolleen fal’aanaan yaate
Lama na hin suufani jette jaartiin qullubbii hattee
Leenci maal nyaata jennaan, liqeeffatte jedhe, maal kanfala jennaan, eenyu isa gaafata jedhe
Lilmoon qaawwaa ishee hin agartu, qaawwaa namaa duuchiti
Lukkuun(hindaaqqoon) haatee haateealbee ittiin qalan baafti
Maa hin nyaatiin jedha dhirsi hamaan
Maal haa baasuuf dhama raasu
Mammaaksi tokko tokko dubbii fida tokko tokko dubbii fida
Mana haadha koon dhaqa jettee goraa bira hin darbiin
Mana karaa irra kessumaatu itti baayyata
Manni Abbaan Gube Iyya Hin Qabu
Maraataa fi sareen mana ofii hin wallalani
Maraatuun jecha beektu, waan jettu garuu hin beektu
Marqaa afuufuun sossobanii liqimsuufi
Marqaan distii badaa miti, irri ni bukata, jalli ni gubata
Marxoon otoo fiiganii hidhatan otuma fiiganii nama irraa bu’a
Mataa hiyyaassaatti haaduu baru
Midhaan eeguun baalatti hafe
Mucaa keetiin qabii mucaa koo naa qabi jettehaati mucaa
Muka jabana qabu reejjiitti dhibaafatu
Morkii dhaaf haaduu liqimsu
Nama foon beeku sombaan hin sobani
Namni akka fardaa nyaatu, gaafa akka namaa nyaate rakkata
Namni beela’e waan quufu hin se’u
Namni dhadhaa afaan kaa’an, dhakaa afaan nama kaa’a
Namni gaafa irrechaa duude, sirba irreechaa sirbaa hafa
Namni guyyaa bofa arge halkan teepha dheessa
Namni hudduu kooban galannii isaa dhuufuu dha
Namni mana tokko ijaaru citaa wal hin saamu
Namni nama arabsu nama hin faarsu
Namni badaan bakka itti badutti mari’ata
Namni gabaabaan otoo kabaja hin argatiin du’a
Namni qotiyyoo hin qabne qacceen qalqala guutuu dha
Nama kokkolfaa nama miidhuu fi bokkaan aduu baasaa roobu tokko
Niitiin dhirsaaf kafana
Niitiin marii malee fuudhan marii malee baati
Niitiin afaan kaa’aami’eeffatte yoo kabaluuf jedhan afaan banti
Nitaati jennaan harree qalle, hin tatuu jennaan harree ganne, qoricha jennaan isuma iyyuu dhaqnee dhabne
Obboleessa laga gamaa mannaa gogaa dugduu(faaqqii) ollaa ofii wayya
Obsaan aannan goromsaa dhuga
Obsan malee hn warroomani
Ofii badanii namaa hin malani
Of jajjuun saree qarriffaan udaani

Ofi iyyuu ni duuti maaliif of huuti
Ofii jedhii na dhugi jedhe dhadhaan
Okolee diddu okkotee hin diddu
Ollaa araban jira akkamittin guddadha jette gurri
Ollaan akkam bultee beeka, akkatti bule abbaatu beeka
Ollaafi garaan nama hin diddiin
Ollaa fi kateen nama xiqqeessiti
Ol hin liqeessiin horii keetu badaa, gadi hin asaasiin hasa’aa keetu bushaa’a
Otoo beeknuu huuba wajjin jette sareen
Otoo garaan tarsa’e jiruu, darsa tarsa’eef boossi
Otoo farda hin bitiin dirree bite
Otoo fi eegeen gara boodaati
Otoo garaan dudda duuba jiraate, qiletti nama darbata
Otoo sireen nama hin dadhabiin tafkii fi tukaaniin nama dadhabdi
Qaalluun kan ishee hin beektu kan namaa xibaarti
Qaban qabaa hin guunnee gad-lakkisan bakkee guutti
Qabbanaa’u harkaan gubnaan fal’aanan
Qabanootuharkaa, hoo’itu fal’aanaan
Qabeenyi fixeensa ganamaati
Qalloo keessi sibiila
Qalladhu illee ani obboleessa eebooti jette lilmoon
qaaqeen yoo mataan ishee marge bade jetti
Qarri lama wal hin waraanu
Qeesiinwaaqayyoo itti dheekkam, daawwitii gurgurtee harree bitatte
Qoonqoon darbu, maqaa hin dabarre nama irra kaa’a
Qoonqoon bilchina eeggattee, qabbana dadhabde
Qorichaofii beekan namaa kudhaamu
Qotee bulaa doofaan, miila kee dhiqadhu jennaa, maalan dhiqadha borus nan qota jedhe
Qurcii dhaan aboottadhu jennaan, qophoofneerra jedhe
Raadni harree keessa ooltedhuufuu barattee galti
Sa’a bonni ajjeese ganni maqaa fuudhe
Saddetin heerume jarjarrsaa akka baranaa hin agarre jette jaartiin, salgaffaa irratti waraabessi bunnaan
Salphoo soqolatte soqolaa gargaaru
Saree soroobduun afaan isheef bukoo ykn. dudda isheef falaxaa hin dhabdu
Sabni namatti jiguu irra gaarri (tulluun) namatti jiguu wayya
Sareen duttu nama hin ciniintu
Sanyii ibiddaa daaraatu nama guba
Sareen warra nyaattuuf dutti
Seenaa bar dhibbaa baruuf bardhibba jiraachuun dirqama miti
Shanis elmamu kudhanis, kan koo qiraaciitti jette adurreen
Sirbituu aggaammii beeku
Sii uggum yaa gollobaa, anaafoo goommani ni dorroba inni gurr’uu soddomaa jette jaartiin horii ishee gollobaan fixnaan
Sodaa abjuu hriba malee hin bulani
Soogidda ofiif jettu mi’aayi kanaachi dhakaa taata
Sombaaf aalbee hin barbaadani
Suphee dhooftuun fayyaa gorgurtee, cabaatti nyaatti
Taa’anii fannisanii dhaabatanii fuudhuun nama dhiba
Takkaa dhuufuun namummaa dh, lammmeessuun harrummaadha
Tikseen dhiyootti dhiifte fagootti barbaacha deemti
Tiksee haaraan horii irraa silmii buqqisaa oolti
Tokko cabe jedhe maraataan dhakaa gabaatti darbatee
tokko kophee dhabeetu booha, tokko immoo miila dhabee booha
Tufani hin arraabani
Udaan lafatti jibban funyaan nama tuqa
Ulee bofa itti ajjeesan alumatti gatu
Ulee fi dubbiin gabaabduu wayya
Ulfinaa fi marcuma abbaatu of jala baata
Waa’een garbaa daakuu fi bishaani
Waan ergisaa galu fokkisa
Waan jiilaniin kakatu
Waan kocaan kaa’e allaattiin hin argu
Waan namaa kaballaa malee hin quufani
Waan samii bu’e dacheen baachuu hin dadhabu
Waan uffattu hin qabdu haguuggatee bobbaa teessi
Waan warri waarii hasa’aan, Ijoolen waaree odeesiti
Wadalli harree nitii isaa irraa waraabessa hin dhowwu
Wal-fakkaattiin wal barbaaddi
Wali galan, alaa galan
Wallaalaan waan beeku dubbata, beekaan waan dubbatu beeka
Waaqaaf safuu jette hindaaqqoon bishaan liqimsitee
Warra gowwaa sareen torba
Waraabessi bakka takkaa nyaatetti sagal deddeebi’a
Waraabessi biyya hin beekne dhaqee gogaa naa afaa jedhe
Waraabessi waan halkan hojjete beekee guyyaa dhokata
Yaa marqaa si afuufuun si liqimsuufi
Yoo ala dhiisan mana seenan, yoo mana dhiisan eessa seenan
Yoo boora’e malee hin taliilu
Yoo ejjennaa tolan darbatanii haleelu
Yoo iyyan malee hin dhalchanii jedhe korbeesi hoolaa kan re’eetiin
Yoo suuta ejjetan qoreen suuta nama waraanti
yoo dhaqna of jaalatan fuula dhiqatu
Yoo namaa oogan eelee jalatti namaa marqu
yoo ta’eef miinjee naa taata jette intalli


Mammaaksota Dubartootaa Oromoo

1.     Heeruma dharraanee(hawwinee) heerumnaan rarraane (rakkannee)

2.     Asuu oolle jette tan heerumaaf muddamte”

3.     Takkattii qayyannee taduraa hanqannee  ykn takkaa qayyannee lukaa gubanne

4.     Bakka dhiiganii hin fiigan.

5.     Kana muranii kamiin fincaayan jette haati manaa inni ofirraa mura jennaan.

6.     Kaanittuu abbaa argadhu jette haati intalaan.

7.     Intalti ariifattuun haadha ciniinsuubarsiifti

8.     Akka beekutti dhalaa(dahaa) nadhiisaa jette intalti harka namaa diddu

9.     Sirbaaf bayanii morma hin dhofatan jettee intalti waa hin saalfannee.

10.  Akka ebaluutti sirbaan morma nama jallifti jette intalti qalbii qabdu.

11.  Mucaa deenna malee mucaa hin geennu jette intalti of tuffatte.

12.  Wol  akkeessee ollaan marqa balleesse jette intalti ofiin bultun .

13.  Akka aadaa teennaa gaara gubbaa baanee teenna jedhe harmi dubartootaa.

14.  Ati baldi ta dhiirsa ka’imaa jette intalti abbaan manaa isii jaarsaa.
(Baldu : ashuu,qoosuu,taphachuu, busheesuu)

15.  Har’allee moo jette haati ijoolleen beelofne (shoomofne) jennaan isiin bakka cidhaatii quuftee waan galteef

16.  Ani ufiif hin jennee, mucaan keessan ka hangafaa sun fuudha hin geennee? jette intalti mucaa kajeelte.

17.  Soddaa fi dayma hin duudhatan.

18.  Osoo dhukubsataan jiru, fayyaalessi du’a.

19.  Ana bakki na dhukubu asii mitii maraafuu bakkuma gooftaan kiyya jedhe san kooba jette bookeen.

20.  Makkitu malee makkaa hin hajjan

(Makkitu : naamaaf mijooftu/mijaa’u)

21.  Akka dida’aa fi akka didanaatti na galchi

22.  Daalun xaraan kaanu tara.

Qopheessan : Abdii Boriiti

Source: http://opride.com/hamba/?p=231


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Hiibboo Afaan Oromoo

Learn it right: The Feynman Technique: A formula for learning that ensured he understood something better than everyone else January 22, 2017

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer.
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Odaa OromooOromianEconomist

A Nobel prize-winning physicist identified three simple steps to mastering any subject

I wasn’t always a good learner. I thought learning was all about the hours you put in. Then I discovered something that changed my life.

The famous Nobel Prize-winning physicist Richard Feynman understood the difference between “knowing something” and “knowing the name of something,” and it’s one of the most important reasons for his success.

Feynman stumbled upon a formula for learning that ensured he understood something better than everyone else.

It’s called the Feynman Technique and it will help you learn anything deeper, and faster. The topic, subject, or concept you want to learn doesn’t matter. Pick anything. The Feynman Technique works for everything. Best of all, it’s incredibly simple to implement.

The catch: It’s ridiculously humbling.

Not only is this a wonderful method of learning, but it’s also a window into a different way of thinking. Let me explain:

There are three steps to the Feynman Technique.

Step 1: Teach it to a child

Take out a blank sheet of paper and write the subject you want to learn at the top. Write out what you know about the subject as if you were teaching it to a child. Not your smart adult friend but rather an eight-year-old who has just enough vocabulary and attention span to understand basic concepts and relationships.

A lot of people tend to use complicated vocabulary and jargon to mask when they don’t understand something. The problem is we only fool ourselves because we don’t know that we don’t understand. In addition, using jargon conceals our misunderstanding from those around us.

When you write out an idea from start to finish in simple language that a child can understand (tip: use only the most common words), you force yourself to understand the concept at a deeper level and simplify relationships and connections between ideas. If you struggle, you have a clear understanding of where you have some gaps. That tension is good—it heralds an opportunity to learn.

Step 2: Review

In step one, you will inevitably encounter gaps in your knowledge where you’re forgetting something important, are not able to explain it, or simply have trouble connecting an important concept.

This is invaluable feedback because you’ve discovered the edge of your knowledge. Competence is knowing the limit of your abilities, and you’ve just identified one!

This is where the learning starts. Now you know where you got stuck, go back to the source material and re-learn it until you can explain it in basic terms.

Identifying the boundaries of your understanding also limits the mistakes you’re liable to make and increases your chance of success when applying knowledge.

Step 3: Organize and simplify

Now you have a set of hand-crafted notes. Review them to make sure you didn’t mistakenly borrow any of the jargon from the source material. Organize them into a simple story that flows.

Read them out loud. If the explanation isn’t simple or sounds confusing that’s a good indication that your understanding in that area still needs some work.

Step 4 (optional): Transmit

If you really want to be sure of your understanding, run it past someone (ideally who knows little of the subject—or find that 8-year-old!). The ultimate test of your knowledge is your capacity to convey it to another.


Feynman’s approach intuitively believes that intelligence is a process of growth, which dovetails nicely with the work of Carol Dweck, who beautifully describes the difference between a fixed and growth mindset.

This post originally appeared on Medium. If you want to work smarter and not harder, I recommend subscribing to The Brain Food Newsletter. You can follow Shane on Twitter and Facebook, and read more of his work at Farnam Street.


Made in China: Once known for cheap knockoffs, Chinese companies are now the world’s innovators — Quartz October 30, 2016

Posted by OromianEconomist in 25 killer Websites that make you cleverer, Uncategorized.
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Odaa Oromoooromianeconomist

Most of us use products made in China every day and are aware of its growing economic power as a factory to the world. But China intends to become a developed nation by mid-century, and integral to this ambition is its intense focus on innovation. In a few decades, Chinese companies have evolved from imitators…

via Made in China: Once known for cheap knockoffs, Chinese companies are now the world’s innovators — Quartz

Economics: Traditional & Behavioural: System Thinking 1 &2 April 12, 2016

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Economics.
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Odaa OromooTraditional  and  Behavioural Economics, System Thnking 1 and 2

 

Traditional economics views humans as robotic machines who make calculated decisions based on logic. In contrast, behavioural economics views humans as irrational and emotional beings who are influenced by biases and experience when making decisions. This infographic takes a closer look at just what behavioural economics is and how it can be used.

Read more at:- https://www.b2binternational.com/publications/what-is-behavioural-economics/

 

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10 key economic concepts

10 key economic concepts

Anti-Corruption International: What is the #Panamapapers and how does it work? April 8, 2016

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Corruption.
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Odaa Oromoohow to hide a billion dollars

What are we talking about when we criticise the networks of shell companies?

ACI, 8 April 2016

At the latest with the revelations of the Panama Papers, mass media and wider public joined a chorus of outrage over the hidden financial assets of politicians, celebrities and criminal organisations. According to ICIJ, the Panama leaks expose “a system that enables crime, corruption and wrongdoing, hidden by secretive offshore companies”. In particular, the Panamanian law firm Mossack Fonseca has become one of the main protagonists in bribery and money laundering scandals. These leaked documents disclose internal files that contain information on 214,488 offshore entities connected to people in more than 200 countries and territories.
What are the services of law firms like Mossack Fonseca? What are shell companies, offshore entities and so-called tax havens? Can they be used for legitimate or illegitimate businesses? What does the current legislation say? Here is a brief guide and explanation of what has been going on for decades in the hidden financial world.
To put it simple, shell companies are corporations without any active business or operations, or companies that passively own the shares of other companies. Shell companies are also referred to as international business companies, personal investment companies, or “mailbox”/”letterbox” companies. Generally, establishing a shell company is no different from setting up any other type of company.

There are legitimate purposes for shell companies, such as helping entrepreneurs gain cheaper and easier public listings on a stock exchange despite minimal sales turnover. Another example of legal use of shell corporations occurs in the case of hidden financial interactions between two companies: if “Company A” does not want to be associated with “Company B”, for instance because of its poor reputation, they can create a shell corporation through which the transaction can be concealed.
Nevertheless, this mechanism is being used to hide corruption and illegal financial transactions such as money laundering and tax evasion. Shell companies have the essential characteristic of being able to obscure the true ownership of an asset. By disguising both the ownership of the shell corporation and its activities, it is relatively simple to conceal the true origin and intent of large amounts of funds that might have been obtained through illegal actions such as drug dealing or other criminal processes.
Shell companies are often formed in so-called tax havens. There are dozens of tax havens besides Panama such as Switzerland, or Luxembourg and many countries in the Caribbean like the British Virgin Islands that provide little or no tax liability and financial information to foreign tax authorities.
The debate surrounding the legality of shell companies is characterised by pro-arguments that in particular focus on the distinct use and counterarguments that question the entire system of shell companies asking why a company should be allowed to hide financial transactions and assets.
Does law enforcement clarify the controversy? Here is the key issue of the discussion: law avoidance is possible and legally permitted – law firms like Mossack Fonseca are specialised to “protect” their clients from the law. Often, governments that harshly criticise tax avoidance and offshore finance are themselves beneficiaries of those strategies. In most cases public anger, accusations of being opportunistic or unethical and undermined political credibility bring about accountability of wrongdoings, not the judgement in a courtroom. Current laws do not require the creators of shell companies – such as Mossack Fonseca – to report who actually controls them. Further, the compliance with international anti-money laundering obligations remains low and inefficient since financial institutions may be negligent or incapable to perform due diligence to the appropriate depth. Anti-Corruption International fights for more transparency and less “legal corruption” in order to stop the immoral businesses of shell companies……

More at: http://anticorruption-intl.org/criticising-shell-companies/


 

WhatsApp’s new encryption won’t protect you unless you’re also doing all these things April 6, 2016

Posted by OromianEconomist in 25 killer Websites that make you cleverer, Uncategorized.
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Odaa Oromoo


Whatsapp adds end-to-end encryption; Viber to by-pass blockage


 

WhatsApp

WhatsApp made waves yesterday with its decision to switch on end-to-end encryption for all its billion-plus users. “End-to-end” means the communication is encrypted before it leaves your phone and decrypted only after it reaches the other person’s phone, so nobody else, not even WhatsApp itself, can read or listen to it.

Encryption alone isn’t much help unless all the following things are happening as well.

 

You’re not storing messages on your phone

If you really need a message to stay secret, delete it after it’s read. If someone gets hold of your phone (e.g. by stealing it) and can get into it—as the FBI has now done with the iPhone used by the San Bernardino shooter—everything that’s on there will still be accessible. Some messaging apps, such as Telegram, have an “auto-destruct” feature that deletes messages from the phone after a set period of time. WhatsApp currently doesn’t. (Telegram, on the other hand, doesn’t use end-to-end encryption by default; you have to choose it.)

 

You’re not backing up messages to the cloud

WhatsApp doesn’t store your messages on its servers. But in an iPhone, for instance, you can tell WhatsApp to keep a backup of messages in iCloud, Apple’s cloud storage service. Once the information is in the cloud, it could be subpoenaed by a government.

Read more at: WhatsApp’s new encryption won’t protect you unless you’re also doing all these things — Quartz


 
viber

(The Guardian) — From strict privacy policies to its origins in Israel, there are a few things that distinguish Viber, the upstart free calls and messaging application, from its more established rival Skype. But the feature its 200 million international followers seem to appreciate most is the stickers.

A selection of images that can be texted as an alternative to written messages, the stickers available include love hearts, a red rose, the obligatory LOL, and the controversial middle finger hand gesture. There have been outraged calls for its removal.

Viber founder Talmon Marco is listening. “It will not be available by default with the next release of Viber,” he says.

Having begun life three years ago in the Israeli iPhone app store, before going international and onto other mobile platforms including Android, Blackberry and Windows, Viber took the fight to Skype’s home turf by launching a desktop version in May. Downloads onto personal computers are already in the millions.

Speaking from Singapore, Marco is busy preparing the next two important milestones. The first is a sticker store. While this may not sound momentous, it represents the company’s first foray into money making.

The app and all its current services, including calls between Viber users, will remain free. But in order to transform itself into a real business, Viber must search for revenues.

“We announced earlier this year that we will start monetising. The first thing we are going to announce is a sticker store, but we will be introducing additional paid services as early as this year.”

The second development, which is already being tested in Saudi Arabia, is technology that can stop Viber being blocked. During its rapid expansion, Viber has occasionally met resistance from both mobile networks and some of the more authoritarian states.

For some time, many Vodafone customers have been unable to use Viber without disruption, particularly those on pay-as-you-go tariffs, says Marco. Mobile operators have previously voiced concerns about free calls and messaging apps as a threat to their own revenues.

And there has been government opposition. Iran, Syria and Lebanon have all lifted previous blocks on Viber, but the service was recently barred by the Saudi Arabian authorities. Marco says the ban was introduced after Saudi officials indicated to Skype, Viber and the popular messaging service Whatsapp that they would be blocked if they did not agree to be monitored.

Social networks have allowed unprecedented freedom to communicate in Saudi Arabia, propelling a steep adoption curve. They are also relied on by the nation’s many foreign workers as a cheap way to keep in touch with families abroad.

“A few days ago we launched a test of Viber with enhanced connectivity,” says Marco. “This version allows users to connect in places where Viber is blocked. At present we have several thousand users in Saudi Arabia that can access Viber despite the local ban. Once the technology is rolled out, we will likely roll it out to Vodafone UK users as well.”

Marco says he is serious about the right to communicate, and the ability to do so in privacy. Viber’s policy is that if it receives a proper subpoena, it will provide records of who made and received calls, and when, but that no content from those conversations will be shared.

He says Viber does not “have the capability to listen to conversations”. Messages are stored, for two weeks or until they are opened by the recipient, whichever is shorter. Around 80% are deleted in less than a second. The messages are encrypted, and Marco says he has never handed the encryption key to any government.

“We have been asked if we would co-operate. We never provided anybody with anything that will let them listen to conversations or messages on Viber. I do believe people should take notice of the fact that the Saudi government has threatened three companies with shutdown of service – us, Skype and Whatsapp. Only one company was shut down. Users should ask themselves why the other companies were not shut down.”

In fact, Marco has himself been accused by at least one blogger of being an agent of the Israeli state. The rather sketchy claims are based on his military career. He spent four years in the Israel Defence Forces, rising to chief information officer of the central command.

But Viber was funded entirely by what Marco refers to as “friends and family”. “We never took a single dollar from the state of Israel, we are not even incorporated in Israel. We maintain a research and development centre in Israel and that’s it.”

For now, Viber is growing quickly. With just 120 staff, based in Cyprus and Belarus as well as Marco’s homeland, the app is being downloaded by more than 500,000 people a day and reached 200m downloads in May. Last time Viber released information on usage, in February, it was carrying 3bn minutes of calls and 12bn text messages every month. It has some way to go to catch up with Skype – which in April announced 2bn calls a day.

But on the mobile phone, if the iPhone app store reviews are to be believed, Viber is better liked. Skype’s transition to mobile has been rocky, with users complaining the service crashes. Most give Skype a one-star rating on iPhone, while Viber receives the maximum of five stars from most of its reviewers.

Time will tell whether revelations by the Guardian and other media about the extent of Skype’s cooperation with intelligence agencies will harm its business. But Marco believes individuals should care.

“Personally, I would be concerned being on a service knowing that everybody can listen to my conversations,” he says. “People should be concerned about their privacy.”



 

 

 

Journey of a G-Wave: What are gravitational waves? February 14, 2016

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Science.
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Odaa OromooWhat are  gravitational waves

 

 

 


 

Gravitational waves: breakthrough discovery after a century of expectation
Scientists announce discovery of clear gravitational wave signal, ripples in spacetime first predicted by Albert Einstein

Tim Radford, The Guardian, 12 February 2016

Physicists have announced the discovery of gravitational waves, ripples in the fabric of spacetime that were first anticipated by Albert Einstein a century ago.

“We have detected gravitational waves. We did it,” said David Reitze, executive director of the Laser Interferometer Gravitational-Wave Observatory (Ligo), at a press conference in Washington.

The announcement is the climax of a century of speculation, 50 years of trial and error, and 25 years perfecting a set of instruments so sensitive they could identify a distortion in spacetime a thousandth the diameter of one atomic nucleus across a 4km strip of laserbeam and mirror.

The phenomenon detected was the collision of two black holes. Using the world’s most sophisticated detector, the scientists listened for 20 thousandths of a second as the two giant black holes, one 35 times the mass of the sun, the other slightly smaller, circled around each other.

At the beginning of the signal, their calculations told them how stars perish: the two objects had begun by circling each other 30 times a second. By the end of the 20 millisecond snatch of data, the two had accelerated to 250 times a second before the final collision and a dark, violent merger.

The observation signals the opening of a new window on to the universe.
Why discovering gravitational waves changes everything
“This is transformational,” said Prof Alberto Vecchio, of the University of Birmingham, and one of the researchers at Ligo. “We have observed the universe through light so far. But we can only see part of what happens in the universe. Gravitational waves carry completely different information about phenomena in the universe. So we have opened a new way of listening to a broadcasting channel which will allow us to discover phenomena we have never seen before,” he said.

 

“This observation is truly incredible science and marks three milestones for physics: the direct detection of gravitational waves, the first detection of a binary black hole, and the most convincing evidence to date that nature’s black holes are the objects predicted by Einstein’s theory.”

The scientists detected their cataclysmic event using an instrument so sensitive it could detect a change in the distance between the solar system and the nearest star four light years away to the thickness of a human hair.

And they did so within weeks of turning on their new, upgraded instrument: it took just 20 milliseconds to catch the merger of two black holes, at a distance of 1.3 billion light years, somewhere beyond the Large Magellanic Cloud in the southern hemisphere sky, but it then took months of meticulous checking of the signal against all the complex computer simulations of black hole collision to make sure the evidence matched the theoretical template.

The detector was switched off in January for a further upgrade: astronomers still have to decipher months of material collected in the interval. But – given half a century of frustration in the search for gravitational waves – what they found exceeded expectation: suddenly, in the mutual collapse of two black holes, they could eavesdrop on the violence of the universe.

Prof B S Sathyaprakash, from Cardiff University’s school of physics and astronomy, said: “The shock would have released more energy than the light from all the stars in the universe for that brief instant. The fusion of two black holes which created this event had been predicted but never observed.”
The finding completed the scientific arc of prediction, discovery and confirmation: first they calculated what they should be able to detect, then decided what the evidence should look like, and then devised the experiment that clinched the matter. Which is why on Thursday scientists around the world were able to hail the announcement as yet another confirmation of their “standard model” of the cosmos, and the beginning of a new era of discovery.

Astronomers have already exploited visible light, the infrared and ultraviolet, radio waves, x-rays and even gamma-rays in their attempt to understand the mechanics of stars, the evolution of the galaxies and the expansion of the universe from an initial big bang 13.8bn years ago.

 

Thursday’s announcement was the unequivocal first detection ever of gravity waves. The hope is that gravity wave astronomy could start to answer questions not just about the life of stars but their deaths as well: death by collision, death in a black hole, death in some rare stellar catastrophe so fierce that, for a few thousandths of a second, the blast is the brightest thing in the universe.

Even before the Ligo detectors in two US states reopened for business late last year, researchers were confident that a detection would follow swiftly. The announcement came after months of speculation, and decades of theoretical and practical work by an international network of more than a thousand scientists and engineers in Britain, Europe, the US and around the world.

Professor Kip Thorne, of the California Institute of Technology, and one of the founding fathers of Ligo, said that until now, astronomers had looked at the universe as if on a calm sea. All of that had changed.

“The colliding black holes that produced these gravitational waves created a violent storm in the fabric of space and time, a storm in which time speeded up and slowed down, and speeded up again, a storm in which the shape of space was bent in this way and that way,” he said.

Prof Neil Turok, director the Perimeter Institute for Theoretical Physics at Waterloo in Canada, and a former research colleague of Prof Stephen Hawking, called the discovery “the real deal, one of those breakthrough moments in science”.
Not only had the detector picked up the collision of two enormous black holes across a distance of almost a billion light years of space, it recorded the distinctive “chirp” as the two spiralled towards each other.

The discovery, he said, completes a scientific arc of wonder that began 200 years ago, when the great British scientist Michael Faraday began to puzzle about how action was transmitted across the distance of space; how the sun pulled the Earth around. If the sun moved 10 yards, very suddenly, would the Earth feel the difference?

He reasoned that something must cross space to transmit the force of gravity. Faraday’s reasoning inspired the great British mathematician James Clerk Maxwell to think about how an electric force travelled, and arrive at an understanding of light and a prediction of radio waves.

“Einstein, when he came to write down his theory of gravity, his two heroes were Faraday and Maxwell,” said Turok. “He tried to write down laws of the gravitational field and he wasn’t in the least surprised to discover that his predictions had waves, gravitational waves.”

 

The Ligo discovery signals a new era in astronomy, he said.

“Just think of radio waves, when radio waves were discovered we learned to communicate with them. Mobile communication is entirely reliant on radio waves. For astronomy, radio observations have probably told us more than anything else about the structure of the universe. Now we have gravitational waves we are going to have a whole new picture of the universe, of the stuff that doesn’t emit light – dark matter, black holes,” he said.

“For me the most exciting thing is we will literally be able to see the big bang. Using electromagnetic waves we cannot see further back than 400,000 years after the big bang. The early universe was opaque to light. It is not opaque to gravitational waves. It is completely transparent.

“So literally, by gathering gravitational waves we will be able to see exactly what happened at the initial singularity. The most weird and wonderful prediction of Einstein’s theory was that everything came out of a single event: the big bang singularity. And we will be able to see what happened.”

https://www.theguardian.com/science/2016/feb/11/gravitational-waves-discovery-hailed-as-breakthrough-of-the-century


 

 

http://www.scmp.com/video/world/1912278/what-are-gravitational-waves

 

http://www.vox.com/2016/2/13/10981548/gravitational-waves-significance

 

4 Ways to Increase Your Resilience, According to Psychology December 4, 2015

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Uncategorized.
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Odaa Oromoo

 

Surround yourself with the right people.

 

There is an excerpt in Stronger: Develop the Resilience You Need to Succeed that explains how we can acquire and maintain the factors of personal resilience.

1. Seek to successfully demonstrate and repeatedly practice each of our five factors of personal resilience. Success is a powerful learning tool—Just do it! If the challenge is too large or complex at first, start by taking small steps in the desired direction. Don’t try to achieve too much at first. And keep trying until you succeed. The first success is the hardest.

2. Observe resilient people. Use them as role models. Human beings learn largely by observation. Frequent venues where you can watch people exhibiting the skills you wish to acquire. Read books about people who have overcome obstacles similar to those you face. Call or write them. Ask them to share their lessons learned. Their successes will be contagious.

3. Vigorously pursue the encouragement and support of others. Affiliate with supportive and compassionate people who are willing to give of themselves to be supportive of you.

4. Practice self-control. In highly stressful times, myriad physiological and behavioral reactions occur. Physiologically, people experience the fight-or-flight response we mentioned in Chapter One. This cascade of hormones such as adrenalin better prepares you to fight or to flee a threat. They increase your heart rate, muscle strength, and tension. They dramatically improve your memory for certain things while decreasing your ability to remember others, and they cause your blood vessels to shift their priorities. This often results in headaches, cold hands and feet, and even an upset gastrointestinal system. The most significant problem, however, is that this very basic survival mechanism also tends to interfere with rational judgment and problem solving.

Source: 4 Ways to Increase Your Resilience, According to Psychology

Time: Are markets irrationally exuberant? Nobel Prize winning economist Robert Shiller believes they are. September 14, 2015

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Economics.
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???????????Trickle down economics

Shiller, a behavioral economist, closely tracks investors’ feelings about the market. He believes that emotions can hold the key to market movements. When I saw Shiller late last week for an interview about his new book on the economics of deception (“Phishing for Phools,” written with Fed Chair Janet Yellen’s husband George Akerlof), he told me more investors are worried that the market is over-valued than at any time since the peak of the dotcom bubble in 2000.

“Interest rates have been at zero” for a long time, says Shiller. “The economy has been viewed as sluggish, and yet [corporate] earnings have been growing and prices have been growing at a rapid pace.” That kind of “irrational exuberance,” says Shiller, is exactly what bubbles are made of.

So, why haven’t we seen a major sell-off, one more lasting than the dip we saw a few weeks back, after which the markets quickly rebounded? Because, says Shiller, investors are caught between two dueling narratives about the market.

First, there’s the “New Normal,” story, which is that we’re in a period of low interest rates that will last a long time, and that’s what’s kept markets up. This creates a sense of unease that our recovery isn’t real, but has somehow been genetically modified by central bankers.

“The aggressive monetary policy, which developed as kind of a new approach to managing [the economy] and was largely international, brought us these very low interest rates,” says Shiller. What’s more, “long rates are low, which represents some kind of public attitude that this [new normal] is going to go on for a long time.” As I have written many times, long periods of easy money always create bubbles. Meanwhile, says Shiller, “there’s another not so commonly-raised factor in connection with understanding the market: concern about inequality, which is rising, and also related to that a concern about information technology replacing jobs.”

Both of those things add to the sense that there is bad news lurking underneath those seemingly strong corporate earnings data of the last several years. That makes investors jittery.

But there’s another narrative. America is still the prettiest house on the ugly block that is the global economy. Where else can people park their money, if not in U.S. blue chips? Shiller adds that the growing sense that bad news may be looming can also “encourage people to accept high prices for houses and the stock market because they need to have something for the future.” Rising markets are supported by investors and consumers whoneed them to rise, because it makes them feel richer. “And they’re not going to say, “Oh, this price is too high, I’m going to consume this,” says Shiller. Rather, they accept the higher and higher asset prices – until they don’t anymore. That’s when the bubble bursts.

Those two dueling narratives may be one reason that markets have been volatile of late. People who hold equities have earned a lot of money — the stock market has gone way up. You could conclude, says Shiller, “I’ve got so much money, let’s go on a cruise! Let’s have a lark.” That sentiment drives consumer spending at the higher level. “But maybe you don’t because you’re worried. You have the sense that [things could change] — or maybe you’re worried about your children,” says Shiller. “In 20 or 30 years, I don’t know what they’re going to be doing. I’m just worried. Or maybe they’ll be doing horribly. So let’s keep that stock.” That in turn buoys markets. It’s a somewhat bipolar cycle that fits with the level of volatility we’ve seen all this year, which is much higher than last.

So what happens now? At some point, the market will receive some important new signal. It could be a rate hike from the Fed this week. Or it could be another raft of bad news from China. At that point, we’ll likely see another sell-off. The question then is whether it becomes a stampede. There’s no metric that will answer that question for sure. Emotions, as much as data, hold the key to what the markets will do. No wonder Shiller won the Nobel for saying as much.

How Emotions Are Affecting the Stock Market

Oromian Voices: Current Affairs, News, Views, Analysis and Entertainment from Oromia Media Network, Madda Walaabuu and Other Various sources. #Oromia. #Oromo September 13, 2015

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, African Music, Oromian Voices, Oromiyaa, Oromo and the call for justice and freedom, Oromo Artists, Oromo Culture, Oromo First, Oromo Identity, Oromo Media Network, Oromo Music, Oromo Nation, Oromummaa.
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???????????Oromia Media Network Oromia knwoledge and social media sources

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http://qeerroo.org/2015/05/19/sbo-caamsaa-202015-oduu-filannoo-wayyaanee-irratti-ibsa-abo-beeksisoota-sbo-fi-gaaffii-fi-deebii-inispecter-abdallaa-qaasim-kutaa-lammataa-fi-sbo-sagantaa-afaan-amaaraa/

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https://www.oromiamedia.org/2015/05/omn-oduu-caamsaa-11-2015/

https://www.oromiamedia.org/2015/05/omn-london-oduu-caamsaa-10-2015/

https://www.oromiamedia.org/2015/05/omn-london-oduu-caamsaa-9-2015/

https://www.oromiamedia.org/2015/05/amharic-news-may-9-2015/

https://www.oromiamedia.org/2015/05/omn-oduu-caamsaa-5-2015/

https://www.oromiamedia.org/2015/05/omn-oduu-caamsaa-6-2015/

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https://www.oromiamedia.org/2015/04/omn-london-oduu-ebla-25-2015/

https://www.oromiamedia.org/2015/04/omn-oduu-ebla-22-2015/

https://www.oromiamedia.org/2015/04/omn-qophii-addaa-ebla-25-2015/

https://www.oromiamedia.org/2015/04/omn-qophii-keessummaa-gaafiif-deebii-dawitee-mokonnon-ebla-21-2015/

https://www.oromiamedia.org/2015/04/omnoduu-ebla-24-2015/

https://www.oromiamedia.org/2015/04/omn-gaafiif-deebii-luba-bantii-ujuluu-waliin-taasifame-k-1ffaa-ebla-23-2015/

https://www.oromiamedia.org/2015/04/dhumaatii-liibiyaa-ilaalchisee-yaada-ummataa-ebla-22-2015-biyya-london/

https://www.oromiamedia.org/2015/04/omn-oduu-ebla-20-2015/

https://www.oromiamedia.org/2015/04/omn-faana-baqataa-ebla-16-2015/

https://www.oromiamedia.org/2015/04/omn-oduu-ebla-16-2015/

https://www.oromiamedia.org/2015/04/omn-qophii-addaa-ebla-16-2015/

https://www.oromiamedia.org/2015/04/omn-qophii-addaa-k-1ffaa-ebla-14-2015/

https://www.oromiamedia.org/2015/04/omn-beeksisa-qophii-tumsa-omn-sundsvall-sweden/

https://www.oromiamedia.org/2015/04/beeksisa-tumsa-omn-london-uk/

https://www.oromiamedia.org/2015/04/omn-oduu-ebla-13-2015/

https://www.oromiamedia.org/2015/04/omn-qophii-addaa-ebla-12-2015/

https://www.oromiamedia.org/2015/04/omn-london-oduu-ebla-11-2015/

https://www.oromiamedia.org/2015/04/omn-amharic-news-april-11-2015/

https://www.oromiamedia.org/2015/04/omn-haala-yeroo-ammaa-oromiyaa-irratti-marii-taasifame-ebla-10-2015/

https://www.oromiamedia.org/2015/04/omn-oduu-ebla-9-2015/

https://www.oromiamedia.org/2015/04/omn-oduu-ebla-8-2015/

https://www.oromiamedia.org/2015/04/omn-qophii-kessummaa-artist-gaaddisaa-abdullaahii-k-3ffaa-ebla-8-2015/

https://www.oromiamedia.org/2015/04/omn-tumsa-omn-biyya-jarman-magaalaa-munik-k-2ffaa-kan-dhumaa-ebla-5-2015/

https://www.oromiamedia.org/2015/04/omn-london-oduu-ebla-4-2015/

https://www.oromiamedia.org/2015/04/omn-amharic-news-april-4-2015/

https://www.oromiamedia.org/2015/04/omn-amharic-osa-conference-april-4-2015/

https://www.oromiamedia.org/2015/04/omn-oduu-ebla-3-2015/

https://www.oromiamedia.org/2015/04/omn-oduu-ebla-1-2015/

https://www.oromiamedia.org/2015/04/omn-qophii-kessummaa-oboo-gaaddisaa-abdullaahi-kutaa-2ffaa-ebla-1-2015/

https://www.oromiamedia.org/2015/04/omn-oduu-bitootessa-31-2015/

https://www.oromiamedia.org/2015/03/omn-oduu-amma-nu-gahebreaking-news-bitootessa-30-2015/

http://https://vimeo.com/123633032

https://www.oromiamedia.org/2015/03/omn-london-oduu-bitootessa-28-2015/

https://www.oromiamedia.org/2015/03/omn-amharic-news-march-28-2015/

https://www.oromiamedia.org/2015/03/omn-obbo-leencoo-lataa-imala-jilli-odf-gara-biyyaatti-taasise-irratti-omn-waliin-gaafii-fi-deebii-godhanii-jiru/

http://qeerroo.org/2015/03/28/sbo-bitootessa-29-bara-2015-oduu-ijoo-dubbii-abo-gaaffii-fi-deebii-miseensa-khr-abo-jaal-jabeessaa-gabbisaa-waliin-geggeeffame-sochii-fdg-giddu-gala-oromiyaa-gara-lixaa-keessatti-deemaa-jiru-ila/

https://www.oromiamedia.org/2015/03/omn-oduu-bitootessa-24-2015/

https://www.oromiamedia.org/2015/03/beeksisa-tumsa-omn-munich-germany/

https://www.oromiamedia.org/2015/03/beeksisa-tumsa-omn-munich-germany/

https://www.oromiamedia.org/2015/03/omn-gaafiif-deebii-artist-hayluu-kitaabaa-bitootessa-25-2015/

https://www.oromiamedia.org/2015/03/omn-qophii-dalagaa-bitootessa-24-2015/

https://www.oromiamedia.org/2015/03/omn-oduu-bitootessa-23-2015/ https://www.oromiamedia.org/2015/03/omn-london-oduu-bitootessa-21-2015/ https://www.oromiamedia.org/2015/03/omn-amharic-news-march-21-2015/   https://www.oromiamedia.org/2015/03/omn-oduu-bitootessa-20-2015/   https://www.oromiamedia.org/2015/03/omn-oduu-amma-nu-gahebreaking-news-3-19-2015/ https://www.oromiamedia.org/2015/03/omn-oduu-amma-nu-gahebreaking-news-3-19-2015/ http://https://www.oromiamedia.org/2015/03/omn-oduu-bitootessa-17-2015/ http://https://www.oromiamedia.org/2015/03/omn-london-oduu-bitootessa-14-2015/ https://oromianeconomist.wordpress.com/2015/03/10/oromia-media-network-omn-1st-year-anniversary-celebration/ Journalist Abdi Fite Raises Questions for Abbaa-Duulaa: OMN Journalists Discuss Abbaa-Duulaa’s Tigrean-Sanctioned Trip to Little Oromia: See more @  https://oromianeconomist.wordpress.com/2015/01/10/oromian-voices-current-affairs-news-views-analysis-and-entertainment-from-oromia-media-network-madda-walaabuu-and-other-various-sources/ http://www.gadaa.com/oduu/ http://www.voaafaanoromoo.com/ http://www.bakkalchatv.com/ http://qeerroo.org/2014/03/29/sbo-bitootessa-30-bara-2014-oduu-fi-qophiilee-keenya-kan-dhageenyee-fi-dubbifne-irraa-dabalatee-waan-gara-garaa-qabnaa-nu-caqasaa/ http://www.opride.com/oromsis/ http://ayyaantuu.com/ Do you know this facts about Oromo and Oromia? http://www.oromoliberationfront.info/press/Oromo-flyer-ver.4.0.pdf http://www.amnesty.org/en/library/info/AFR25/006/2014/en

Oromia Insight: #Oromo Voice Radio. #Africa September 2, 2015

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Oromia Satelite Radio and TV Channels.
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??????????? ovr

Oromia Insight Prof Asafa Jalata Oromo and Oromumma

Oromia Insight Prof Hamdesa The mythical Ethiopia and the real Ethiopia Part One

 

Oromia Insight (OVR): PART-2 – Conversation with Legal Experts Dr. Awol Allo and Tsegaye R. Ararssa on the Speech of Abay Tsehaye & Implications

This week (23rd February 2015), Aliye Geleto, the host of OVR English Program, Oromia Insight, talks to two Special Legal Experts: Dr. Awol Allo and Tsegaye R. Ararssa on the Speech of Abay Tsehaye & Implications.

Dr. Awol Allo is LSE Fellow in Human Rights at the Centre for the Study of Human Rights and Department of Sociology. He holds degrees from Addis Ababa University (LLB) and the University of Notre Dame (LLM, International Human Rights Law), and completed his PhD at the University of Glasgow; and Mr. Tsegaye R. Ararssa is Doctor of Philosophy (PhD) Graduate Research Student at the University of Melbourne.   http://advocacy4oromia.org/2015/02/25/oromia-insight-ovr-conversation-with-two-legal-experts/

  https://oromianeconomist.wordpress.com/2015/01/03/oromo-voice-radio-ovr-madda-walaabuu-media-foundation-mwmf-will-start-english-program-oromo-africa/ http://amzn.to/1KU6O9N

4 Principles That Will Make You More Innovative July 23, 2015

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer.
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Four principles: Relax. Expose Yourself To New Ideas And New Perspectives. Get Ideas. Crashing Into Each Other. Work Hard.

Challenge yourself to use them today.

Related:

The 25 Most Productive Ways to Spend Time on the Internet & More.

https://oromianeconomist.wordpress.com/2014/08/23/the-25-most-productive-ways-to-spend-time-on-the-internet/

TIME

Combing through the research, what are the overarching principles that we need to know to be more innovative thinkers in everyday life? Here they are, with links to the research backing them up.

1) Relax

What is most likely your daily creative peak? Your morning shower. For many of us it’s the most relaxing part of our day — and the most creative.

Just beinghappy can make you more creative for days; seriously, just smile. Watching comedy clips helps, trying too hard hurts. If you tend to be hard on yourself, being less critical can make you more creative. Anger can boost originality in the short term — but it doesn’t last.

It’s probably no surprise that boring work is better done at the office and creative work is better accomplished at home. Hopeful employees are more original. Trust can even make…

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Data Science: Avoiding a common mistake with time series July 14, 2015

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Data Science.
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Data Science Central

Avoiding a common mistake with time series

By Tom Fawcett*

A basic mantra in statistics and data science is correlation is not causation, meaning that just because two things appear to be related to each other doesn’t mean that one causes the other. This is a lesson worth learning. If you work with data, throughout your career you’ll probably have to re-learn it several times. But you often see the principle demonstrated with a graph like this: Dow Jones vs. Jennifer Lawrence

One line is something like a stock market index, and the other is an (almost certainly) unrelated time series like “Number of times Jennifer Lawrence is mentioned in the media.” The lines look amusingly similar. There is usually a statement like: “Correlation = 0.86”.  Recall that a correlation coefficient is between +1 (a perfect linear relationship) and -1 (perfectly inversely related), with zero meaning no linear relationship at all.  0.86 is a high value, demonstrating that the statistical relationship of the two time series is strong. The correlation passes a statistical test. This is a great example of mistaking correlation for causality, right? Well, no, not really: it’s actually a time series problem analyzed poorly, and a mistake that could have been avoided. You never should have seen this correlation in the first place. The more basic problem is that the author is comparing two trended time series. The rest of this post will explain what that means, why it’s bad, and how you can avoid it fairly simply. If any of your data involves samples taken over time, and you’re exploring relationships between the series, you’ll want to read on.

Two random series

There are several ways of explaining what’s going wrong. Instead of going into the math right away, let’s look at a more intuitive visual explanation. To begin with, we’ll create two completely random time series. Each is simply a list of 100 random numbers between -1 and +1, treated as a time series. The first time is 0, then 1, etc., on up to 99. We’ll call one series Y1 (the Dow-Jones average over time) and the other Y2 (the number of Jennifer Lawrence mentions). Here they are graphed: Series Y1 Series Y2 There is no point staring at these carefully. They are random. The graphs and your intuition should tell you they are unrelated and uncorrelated. But as a test, the correlation (Pearson’s R) between Y1 and Y2 is -0.02, which is very close to zero. There is no significant relationship between them. As a second test, we do a linear regression of Y1 on Y2 to see how well Y2 can predict Y1. We get a Coefficient of Determination (R2 value) of .08 — also extremely low. Given these tests, anyone should conclude there is no relationship between them.

Adding trend

Now let’s tweak the time series by adding a slight rise to each. Specifically, to each series we simply add points from a slightly sloping line from (0,-3) to (99,+3). This is a rise of 6 across a span of 100. The sloping line looks like this: Trend line

Now we’ll add each point of the sloping line to the corresponding point of Y1 to get a slightly sloping series like this: Series Y1 Prime

We’ll add the same sloping line to Y2: Series Y2 Prime

Now let’s repeat the same tests on these new series. We get surprising results: the correlation coefficient is 0.96 — a very strong unmistakable correlation. If we regress Y on X we get a very strong R2 value of 0.92. The probability that this is due to chance is extremely low, about 1.3×10-54. These results would be enough to convince anyone that Y1 and Y2 are very strongly correlated! What’s going on? The two time series are no more related than before; we simply added a sloping line (what statisticians call trend). One trended time series regressed against another will often reveal a strong, but spurious, relationship. Put another way, we’ve introduced a mutual dependency. By introducing a trend, we’ve made Y1 dependent on X, and Y2 dependent on X as well. In a time series, X is time. Correlating Y1 and Y2 will uncover their mutual dependence — but the correlation is really just the fact that they’re both dependent on X. In many cases, as with Jennifer Lawrence’s popularity and the stock market index, what you’re really seeing is that they both increased over time in the period you’re looking at. This is sometimes called secular trend. The amount of trend determines the effect on correlation. In the example above, we needed to add only a little trend (a slope of 6/100) to change the correlation result from insignificant to highly significant. But relative to the changes in the time series itself (-1 to +1), the trend was large. A trended time series is not, of course, a bad thing. When dealing with a time series, you generally want to know whether it’s increasing or decreasing, exhibits significant periodicities or seasonalities, and so on. But in exploring relationships between two time series, you really want to know whether variations in one series are correlated with variations in another. Trend muddies these waters and should be removed.

Dealing with trend

There are many tests for detecting trend. What can you do about trend once you find it? One approach is to model the trend in each time series and use that model to remove it. So if we expected Y1 had a linear trend, we could do linear regression on it and subtract the line (in other words, replace Y1 with its residuals). Then we’d do that for Y2, then regress them against each other. There are alternative, non-parametric methods that do not require modeling. One such method for removing trend is called first differences. With first differences, you subtract from each point the point that came before it: y'(t) = y(t) – y(t-1) Another approach is called link relatives. Link relatives are similar, but they divide each point by the point that came before it: y'(t) = y(t) / y(t-1)

More examples

Once you’re aware of this effect, you’ll be surprised how often two trended time series are compared, either informally or statistically. Tyler Vigen created a web page devoted to spurious correlations, with over a dozen different graphs. Each graph shows two time series that have similar shapes but are unrelated (even comically irrelevant). The correlation coefficient is given at the bottom, and it’s usually high. How many of these relationships survive de-trending? Fortunately, Vigen provides the raw data so we can perform the tests. Some of the correlations drop considerably after de-trending. For example, here is a graph of US Crude Oil Imports from Venezuela vs Consumption of High Fructose Corn Syrup: US Crude Oil Imports vs. HFCS The correlation of these series is 0.88. Now here are the time series after first-differences de-trending: US Crude Oil Imports vs. HFCS de-trended

These time series look much less related, and indeed the correlation drops to 0.24. A recent blog post from Alex Jones, more tongue-in-cheek, attempts to link his company’s stock price with the number of days he worked at the company. Of course, the number of days worked is simply the time series: 1, 2, 3, 4, etc. It is a steadily rising line — pure trend! Since his company’s stock price also increased over time, of course he found correlation. In fact, every manipulation of the two variables he performed was simply another way of quantifying the trend in company price.

Final words

I was first introduced to this problem long ago in a job where I was investigating equipment failures as a function of weather. The data I had were taken over six months, winter into summer. The equipment failures rose over this period (that’s why I was investigating). Of course, the temperature rose as well. With two trended time series, I found strong correlation. I thought I was onto something until I started reading more about time series analysis. Trends occur in many time series. Before exploring relationships between two series, you should attempt to measure and control for trend. But de-trending is not a panacea because not all spurious correlation are caused by trends. Even after de-trending, two time series can be spuriously correlated. There can remain patterns such as seasonality, periodicity, and autocorrelation. Also, you may not want to de-trend naively with a method such as first differences if you expect lagged effects. Any good book on time series analysis should discuss these issues. My go-to text for statistical time series analysis is Quantitative Forecasting Methods by Farnum and Stanton (PWS-KENT, 1989). Chapter 4 of their book discusses regression over time series, including this issue.   *Tom Fawcett is Principal Data Scientist at Silicon Valley Data Science. Co-author of the popular book Data Science for Business, Tom has over 20 years of experience applying machine learning and data mining in practical applications. He is a veteran of companies such as Verizon and HP Labs, and an editor of the Machine Learning Journal.

Related:-

https://oromianeconomist.wordpress.com/2015/07/07/statistics-the-sexiest-job-of-the-decade/

https://oromianeconomist.wordpress.com/2015/06/22/what-is-calculus-used-for-tedx-talks/

Statistics: The Sexiest Job of the Decade July 7, 2015

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Economics, Uncategorized.
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Discovering Python & R

Anyone who’s got a formal education in economics knows who Hal Varian is. He’s most popularly known for his book Intermediate Economics. He’s also the Chief Economist at Google. He is known to have famously stated more or less, that statisticians and data analysts would be the sexiest jobs of the next decade.

That has come true, to a great extent, and we’ll be seeing more.

Great places to learn more about data science and statistical learning:
1] Statistical Learning (Stanford)
2] The Analytics Edge (MIT)

In a paper called ‘Big Data: New Tricks for Econometrics‘, Varian goes on to say that:

In fact, my standard advice to graduate students these days is “go to the computer science department and take a class in machine learning.” There have been very fruitful collaborations between computer scientists and statisticians in the last decade or so, and I…

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What is Calculus Used For? TEDx Talks Faayidaan Eregaa maali? June 22, 2015

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer.
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learn calculus

This talk describes the motivation for developing mathematical models, including models that are developed to avoid ethically difficult experiments.  Three different examples from the field of human health are presented.

Jeffrey J. Heys is an assistant professor of chemical engineering at Montana State University. He received his B.S. in chemical engineering in 1996 from Montana State University, and his M.S. and Ph.D. from the University of Colorado at Boulder in 1998 and 2001,respectively.  His research area is computational transport and computational fluid dynamics in biological systems with an emphasis on fluid-structure interaction and multiphase flows.

BasicCalculus

Introduction to Calculus

http://ocw.mit.edu/resources/res-18-001-calculus-online-textbook-spring-2005/textbook/

Solution Saturday: 12 Ways to Get People to Listen to You May 17, 2015

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Ancient African Direct Democracy, Sirna Gadaa.
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???????????gadaa Asmarom_

Never lie. Don’t make things sound better than they are, but speak with a can-do approach.

If you want people to listen to you, listen to them.

Read more at:  https://leadershipfreak.wordpress.com/2015/05/16/solution-saturday-12-ways-to-get-people-to-listen-to-you/

via Solution Saturday: 12 Ways to Get People to Listen to You.

How to Overcome Creativity Roadblocks May 6, 2015

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Africa, Ideas.
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There’s always going to be space for reading, curating and cheering on others’ work. But there should also be a space for building on it and creating stuff of one’s own. Each of us has something to say, and we have the responsibility and privilege of adding to the discourse. It’s up to us to find and nurture the right balance and feel inspired by—not intimidated by–the work that others do. After all, everything is a remix.

TIME

I have a lot of ideas in my head. And for the most part, that’s where they used to stay.

In my head. Where other people couldn’t see them, interact with them or build upon them. Where they were safe and untested and uncriticized. All mine.

Sure, I’ve created some. Some might say I’ve created plenty. But that’s only because they can’t see what I’m not creating. For example, this very post sat dormant for at least a month while I pondered, waited and nitpicked at it.

Because the riskiest, most dangerous and potentially most interesting ideas are the easiest to hold back. I would pin them down like butterflies on a mat, like art at a museum. They were in spreadsheets, in notebooks, on scrap paper around my desk.

And while it might feel creative to think of these ideas, they were dying a lonely death when I…

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Raspberry Pi in Masekelo: Bringing Wikipedia to a school without electricity March 18, 2015

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer.
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O

Raspberry Pi in Masekelo: Bringing Wikipedia to a school without electricity

BY , Wikimedia Blog

Students in a Tanzanian high school without electricity can now access Wikipedia via Wi-Fi, using a donated Raspberry Pi computer. Read more at:

https://blog.wikimedia.org/2015/03/17/raspberry-pi-tanzania-school/

“If-then” Planning: The Most Powerful Technique for Following Through on Your Dreams March 14, 2015

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer.
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O

Here’s the Most Powerful Technique for Following Through on Your Dreams

 Eric Barker,  Barking Up the Wrong Tree

Getty Images

“If-then” planning.

Via Nine Things Successful People Do Differently:

It’s called if-then planning, and it is a really powerful way to help you achieve any goal. Well over a hundred studies, on everything from diet and exercise to negotiation and time management, have shown that deciding in advance when and where you will take specific actions to reach your goal (e.g., “If it is 4 p.m., then I will return any phone calls I should return today”) can double or triple your chances for success.

And:

Via Nine Things Successful People Do Differently:

How effective are these plans? One study looked at people who had the goal of becoming regular exercisers. Half the participants were asked to plan where and when they would exercise each week (e.g., “If it is Monday, Wednesday, or Friday, then I will hit the gym for an hour before work”). The results were dramatic: weeks later, 91 percent of if-then planners were still exercising regularly, compared to only 39 percent of nonplanners!Similar results have been shown for other health-promoting behaviors, like remembering to do monthly breast self-exams (100 percent of planners, 53 percent of nonplanners), and getting cervical cancer screenings (92 percent of planners, 60 percent of nonplanners).

Why are these plans so effective? Because they are written in the language of your brain—the language of contingencies. Human beings are particularly good at encoding and remembering information in “if X, then Y” terms, and using these contingencies to guide their behavior, often below their awareness.

And:

Via Nine Things Successful People Do Differently:

Making If-Then Plans

1) Identify a critical action you need to take to reach your goal.

2) When and where should you take this action? What is the critical situation?

3) Put it all together:

If (or When) _________________________, then ___________________. (Example: If it is 8 a.m. on Monday, then I will go for a run.)

4) Now, think about an obstacle that might derail you. This could be a temptation, a distraction, or some other factor that would interfere with your progress.

5) When that temptation or distraction comes calling, how will you handle it? What will you do instead?

6) Put it all together: If (or When) __________________________, then ____________________.

(Example: If an e-mail from a coworker makes me angry, then I will wait thirty minutes before answering so I can respond calmly.)

This piece originally appeared on Barking Up the Wrong Tree.

http://time.com/3738866/technique-follow-through-dream/

OROMIA MEDIA NETWORK: OMN 1ST YEAR ANNIVERSARY CELEBRATION March 12, 2015

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Africa, OMN, Oromo First, Oromo Media Network, Oromo Nation, Oromo News.
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OOromia Media Network

 

 

 

 

http://new.livestream.com/accounts/12494091/events/3865141

Indigenous Langauge And Development: Toltu Tufa of Afaan Publications (Afaan Oromoo Developer) Met Large Audience On The Occasion of The Launch of The Afaan New Books February 15, 2015

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Afaan Oromoo, Afaan Publication, African Literature, Culture, Language and Development, Oromiyaa, Oromo, Oromummaa.
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 A native African language has been brought to the pages of children’s textbooks for the first time by a Melbourne educator. More than 40 million people speak the Oromo tongue but, until now, it’s been largely passed down by word-of-mouth.

http://www.sbs.com.au/news/video/399415363938/Aussie-educators-quest-to-document-an-African-Lang

http://www.afaan.com.au/#campaign

Quantum model: Two physicists have put forward a radical new model which suggests the Big Bang didn’t take place – and that our universe has no beginning and no end. February 11, 2015

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Big Bang, Our universe, Quantum model, Science.
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Oour Universe

Did the Big Bang ever happen? Quantum model predicts universe has NO beginning – and it could even explain dark energy

 

Current physics can’t explain what happened during the Big Bang

 

The new theory combines general relativity with quantum mechanics

 

The equations found that quantum particles can never meet or cross

 

‘Since different points in the universe never actually converged in the past, it did not have a beginning,’ Professor Saurya Das told Dailymail.com

 

The model also has the potential to explain dark energy since the quantum particles create a constant outward force that expands space

Our universe, according to Einstein’s theories, is around 13.8 billion years old and formed from an infinitely small point during the Big Bang.

While most people accept this model, scientists still can’t explain what happened inside this tiny point – called a singularity – or what came before it.

Now, two tphysicists have put forward a radical new model which suggests the Big Bang didn’t take place – and that our universe has no beginning and no end.

Our universe, according to Einstein's theories, is around 13.8 billion years old and formed from an infinitely small point during the Big Bang (illustration pictured) While most people accept this model, scientists still can't explain what happened inside this tiny point - called a singularity – or what came before it

‘The math and the Big Bang theory itself break down because of the infinities,’ Professor Saurya Das at University of Lethbridge, Canada told Dailymail.com.

‘In other words, the theory predicts its own demise. It also does not explain where that initial state, came from.’

The scientists began with equations created by physicist David Bohm (left), who in the 1950s attempted to use quantum theory in place of classical equations. They then combined this with an equation by Professor Amal Kumar Raychaudhuri at Presidency University (right)The scientists began with equations created by physicist David Bohm (left), who in the 1950s attempted to use quantum theory in place of classical equations. They then combined this with an equation by Professor Amal Kumar Raychaudhuri at Presidency University (right)

The scientists began with equations created by physicist David Bohm (left), who in the 1950s attempted to use quantum theory in place of classical equations. They then combined this with an equation by Professor Amal Kumar Raychaudhuri at Presidency University (right)

They then combined this with an equation by Professor Amal Kumar Raychaudhuri at Presidency University, in Kolkata, which described a fluid of small particles that pervades space.

This fluid is the quantum version of gravity, which has dubbed a graviton by Professor Das and co-author Ahmed Farag Ali at Benha University.

They showed that unlike classical trajectories – which are paths of particles going into the future or past – the quantum particles can never meet or cross.

‘As far as we can see, since different points in the universe never actually converged in the past, it did not have a beginning,’ said Professor Das.

‘It lasted forever. It will also not have an end…In other words, there is no singularity.’

But if there was no Big Bang, what is the history of our universe?

‘The universe could have lasted forever,’ speculates Professor Das.

‘It could have gone through cycles of being small and big.

‘Or it could have been created much earlier.’

The theory may also potentially explain the origin of dark matter and dark energy.

'As far as we can see, since different points in the universe never actually converged in the past, it did not have a beginning,' said Professor Das. Pictured is a star cluster that popular cosmology believes formed following the Big Bang. The current research suggests stars such as this always existed

‘As far as we can see, since different points in the universe never actually converged in the past, it did not have a beginning,’ said Professor Das. Pictured is a star cluster that popular cosmology believes formed following the Big Bang. The current research suggests stars such as this always existed.

These elusive substances constitute respectively about 25 per cent and 70 per cent of our universe.

‘We showed that a giant Bose-Einstein condensate of gravitons may have formed very early on, have lasted forever, and which accounts for both dark matter and dark energy,’ said Professor Das.

In the late 1990s, astronomers found that the expansion of the universe is accelerating due the presence of a dark energy.

Their model has the potential to explain it since the fluid creates constant outward force that expands space.

And when the team set the mass of the graviton, they could make the density of their fluid the same as the universe’s observed density of dark matter.

‘It is satisfying to note that such straightforward corrections can potentially resolve so many issues at once.’ Professor Das said.

Source: dailymail.co.uk

Read more: http://www.dailymail.co.uk/sciencetech/article-2947967/Did-Big-Bang-happen-Quantum-model-predicts-universe-NO-beginning-explain-dark-energy.html#ixzz3RP9LxYX3
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Oromo Street January 13, 2015

Posted by OromianEconomist in 25 killer Websites that make you cleverer, Africa, MINNEAPOLIS, Oromo Street.
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The Proposal to Name a Road in Minneapolis as “Oromo Street” is Approved.

Minneapolis approves Oromo Sreet

The hearing held by the Minneapolis City Planning Commission on Jan. 12, 2015, to decide on Council Member Abdi Warsame’s application for commemorative street names along the city’s Cedar riverside area has approved Warsame’s proposal.

According to the now approved Warsame’s proposal, the section of the 4th Street South in Minneapolis, Minnesota, between Cedar Avenue and 15th Avenue South will be named “Oromo Street.”

The Oromia Media Network (OMN) covered the news during its January 12, 2015, nightly news as follows:

Source: Finfinne Tribune | Gadaa.com

http://finfinnetribune.com/Gadaa/2015/01/proposal-to-name-a-road-in-minneapolis-as-oromo-street-approved/

See also: http://www.opride.com/oromsis/news/3784-minneapolis-may-soon-get-a-commemorative-oromo-street

Oromia: Featuring Raya Wollo (Raya Oromo) People. #Oromo. #Africa January 8, 2015

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Africa, Because I am Oromo, Black History, Boran Oromo, Culture, Cushtic, Kemetic Ancient African Culture, Meroetic Oromo, Munyoyaya Oromo, Orma Oromo, Oromia, Oromiyaa, Oromo, Oromo Culture, Oromo Identity, Oromo Nation, Oromo Social System, Waata Oromo, Wardei Oromo.
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Featuring Raya Wollo (Raya Oromo) People: Northernmost Cushitic Oromo People

January 8, 2014 (kwekudee trip down memory lane) — Celebrating our African historical personalities,discoveries, achievements and eras as proud people with rich culture, traditions and enlightenment spanning many years.

Raya Oromo girls

The Raya  Wollo people, sometimes called Raya Oromo are agricultural and music-loving Cushitic Oromo people but now mixed with small amalgamated Tigre and Amhara bloodlines living in the Debubawi Zone of the current Tigray Regional State at the eastern edge of the Ethiopian highlands in Ethiopia.

61_Girls_from_the_Raya_Wollo_tribe_shopping_atHistorically, the Raya Wollo (Raya Oromo), with the Yejju Oromo, are the northernmost groups of the Oromo people and are a part of the Wollo Oromo Tribe. Their women especially are known by their distinctive hair-braiding styles and facial tattoos.

The official map of Oromia shown below includes the Raya-Azebo territory on its northernmost tip.

The Wollo Oromo (particularly the Raya Oromo and Yejju Oromo) were early Oromo holders of power among the increasingly mixed Ethiopian state. The later north-to-south movement of central power in Ethiopia led to Oromos in Shewa holding power in Ethiopia together with the Shewan Amhara. “In terms of descent, the group that became politically dominant in Shewa – and Subsequently in Ethiopia – was a mixture of Amhara and Oromo; in terms of language, religion and cultural practices, it was Amhara.

73. Man from the Raya Wollo tribe at Hayk market. Ethiopia

Currently, Debubawi Zone/Raya-Azebo woreda (county) is bordered on the south by Alamata, on the southwest by Ofla, on the northwest by Endamehoni, on the north by Hintalo Wajirat, and on the east by the Afar Region. The administrative center of this woreda (county) is Mersa; other town in Raya-Azebo includes Weyra Wuha.

Despite their historic resistance against dominance (read any literature on Ethiopian history, the Raya Oromo revolt given below is mentioned as the first revolt against the Teferi government as early as the late 1920′s and as the predecessor of the Bale Oromo revolt), Raya’s ties with the rest of Oromia have weakened due to years of wars in that part of the region. Today, the challenge should be given to Oromo artists to produce music of the Raya in Afan Oromo; music serves as a cultural ambassador as well as a path to reconnect to one’s historic past (heritage). It’s also paramount that the Oromo Studies Association (OSA) set up a session during its annual meeting to deliberate on the history of Raya Oromo and on ways to bring about the renaissance of Oromummaa in Raya.

Why the name Raya Wollo?
Wollo was an historical region and province in the northeastern part of Ethiopia, with its capital city at Dessie. The province was named after the Wollo Oromo, who settled in this part of Ethiopia in the 17th century. An older name for Wollo is Lakomelza.

Following the invasion by Britain that toppled Italian colonial authority in 1941, the provinces of Amhara Sayint, Azabo, Lasta, Raya Province, Wag, and Yejju were added to Wollo. A number of peasant rebellions rocked Wollo, which included the Woyane rebellion in 1943, and revolts of the Yejju Oromo in 1948 and 1970. With the adoption of the new constitution in 1995, Wollo was divided between the Afar Region, which absorbed the part of the province that extended into the Afar Depression; the Tigray Region, which annexed the northwestern corner; and the Amhara Region, which absorbed the remainder of the province in the Ethiopian highlands.

Raya Wollo man

Young woman from the Raya Wollo tribe at Hayk market. Ethiopia. johangerrits

Northern Marginalization under Shewan Rule
The northern provinces of Gonder, Gojjam, Wollo and Tigray are  the heartland of  the “core” culture of Ethiopia — the Ethiopian Orthodox church, the Amharic language and script, plow-based agriculture, and many elements of the social system of the country derive from this historic region.  Most of the Emperors also came from here.

At the end of the 19th century, the center of power in Ethiopia decisively shifted from the north to Shewa, with the assumption of  the  title of Emperor by Menelik, King of Shewa.  Menelik was an Amhara, from  the dynasty that  ruled Manz, at the northern  tip of  the modern province of Shewa.  The majority of the inhabitants of the rest of Shewa were Oromo — as is the case  today.    In  terms  of  descent,  the  group that  became  politically  dominant  in  Shewa  (and subsequently in Ethiopia) was a mixture of Amhara and Oromo; in terms of language, religion and cultural practices, it was Amhara.  The northern Amhara regarded the Shewans as “Galla” (the pejorative  term  for Oromo), and together with the Tigrayans and  some of  the Agau and Oromo people in Wollo, resisted the new Shewan domination, which led to their economic and political marginalization.

Tatooed Wollo Woman, Mezan Teferi , Ethiopia © Eric Lafforgue

Revolt in Wollo
Between 1928 and 1930 there was a rebellion — or a series of rebellions — in northern Wollo  against  Shewan  domination.   The  specific  political  cause was  support  for Ras Gugsa  Wale, a northern Amhara lord with a strong claim on the throne, against the Shewan Ras Teferi  (who crowned himself the Emperor Haile Selassie after defeating the revolt). The government  suppression of the revolt led to quartering soldiers with local people, interrupting the salt trade,  and  involved massive  looting and confiscation of cattle.   Combined with drought and  locusts,  the  result was  famine. Haile Selassie  ordered  the  importation  of grain  from  India  to  supply  Addis Ababa, but there was no relief for north Wollo. Political measures were taken after the revolt, including the replacement of much of the administration, which formerly had local roots, with  appointees  from  Shewa;  and  the  joining  of  the  rebellious  districts  to  the  province  of  southern Wollo,  which  was  ruled  with  harshness  and  venality  by  the  crown  prince. These helped to contribute to the further marginalization of the area, and the series of famines which plagued the area up to the fall of the Emperor.

The  cumulative  impact  of  imperial misrule  and  the  petty  tyrannies  of  local  landlords created  an  atmosphere  in  which  development  was  extremely  difficult,  as  described  by  two consultants investigating the possibility of starting livestock projects:
Wollo is virtually impossible … there is such an obscuring weight of disbelief, suspected innuendo and antagonisms; such a mess of mis-government at petty levels, and such a
lading  of  landlords  that  there  is almost nothing  to  start with and nowhere  to start  that
will  not  go  wrong  or  sour  …  [there  is]  the  smothering  welter  of  the  weeds  of  an
entrenched and stagnant society.

The Weyane in Tigray

Following the restoration of Haile Selassie after the defeat of the Italians in 1941, there was a  revolt  in Tigray.   Known as  the Weyane,  this was  the most  serious  internal  threat  that Haile Selassie  faced.   An alliance of  the Oromo semi-pastoralists of Raya Azebo, disgruntled peasants, and  some  local  feudal  lords, under  the military  leadership of a  famous shifta, Haile Mariam Redda, the rebels nearly succeeded in overrunning the whole province.4  British aircraft had to be called in from Aden in order to bomb the rebels to ensure their defeat.  While some of the  aristocratic  leaders,  such  as  Ras  Seyoum Mengesha,  were  treated  gently  and  ultimately allowed  to  return  and  administer  the  recalcitrant  province,  there  were  reprisals  against  the ordinary people.  Most notably, the Raya and Azebo Oromo were subjected to wholesale land alienation, and much of their territory was transferred to the province of Wollo.  This area was badly hit in subsequent famines, partly as a consequence.

Girl from the Raya Wollo tribe at Hayk market. Ethiopia. johangerrits

Tax Revolts in Gojjam
Gojjam treasured its independence for centuries, and did not submit willingly to Shewan rule. The  issue around which opposition  repeatedly coalesced was any attempt by  the central government  to measure  land and  tax  it.   Taxation was not only  resented as  the  imposition of unjust exertions by government, but was feared as the means whereby the traditional land tenure system would be undermined, and the farmers’ independence destroyed.

  In the 1940s and ’50s there was a series of attempts to measure land in Gojjam, prior to taxation.  In the face of peasant resistance, including violence, all attempts failed.  In the early 1960s, only 0.1 per cent of the land had been measured, and Gojjam, one of the richest and most populous provinces, paid less land tax than the poor and thinly populated province of Bale.  In 1950/1 there was armed resistance, including a plot to assassinate Haile Selassie.  However the most  serious  revolt  occurred  in  1968,  in  response  to  the most  systematic  attempt  to  levy  an agricultural income tax to date.

  In  February  1968,  in  reaction  to  the  arrival  of  parties  of  government  officials accompanied  by armed  police,  the  peasants  of Mota  and Bichena  districts  resorted  to  armed resistance.  After months of stalemate while much of the province remained out of government control, Haile Selassie sent troops to Gojjam in July and August.  The air force bombed several villages;  it burned houses but  its main  task was probably  intimidating  the  resistance.   Several hundred people died, according  to contemporary accounts, but the Gojjamis remained defiant.

Finally, in December, Haile Selassie backed down.  He visited Gojjam in 1969, cancelled all tax
arrears, and made no serious attempt to collect the new taxes.

Famines in Wollo and Tigray
In 1974,  the Emperor Haile Selassie became notorious  for his attempts  to conceal  the existence of  the  famine of 1972-3  in Wollo.   This, however, was only one  in a succession of such incidents.  Prof. Mesfin Wolde Mariam of Addis Ababa University has documented how the  famines  of  1958  and  1966  in  Tigray  and Wollo were  treated  with  official  indifference, bordering on hostility towards the peasants who were considered sufficiently ungrateful for the divinely-sanctioned  rule  of Haile Selassie as  to allow  themselves  to defame his  reputation by dying of famine.

  There was severe famine in Tigray in 1958 which went without significant government relief.  In 1965/6, reports of famine from Were Ilu awraja in Wollo arrived at the Ministry of the Interior in November 1965, one month after the situation became clear to the local police, but no action was  taken.   The  information  took  a  further  302  days  to  reach  the Emperor, who  then requested the Ministry of the Interior to act — which it did by asking officials in Wollo to send a list of the names of the people who had died.6  A small relief distribution was then authorized.

The only consistent response to famine was to regard it as a security problem — famine created destitute migrants, who needed to be prevented from entering towns, particularly Addis Ababa.
Both the 1958 and 1965/6 famines killed tens of thousands of people.

  The famine that struck Wollo during 1972-3 played a crucial role in Ethiopian history:
“the revelation of that famine by the British television journalist Jonathan Dimbleby played a key
role  in  precipitating  the  downfall  of  the  rule  of Haile Selassie.   Between  40,000  and  80,000
people  died.” The  famine  also  led  directly  to  the  creation  of  the  Relief  and  Rehabilitation
Commission (RRC), the powerful government department mandated to prevent and ameliorate
future famines, and to coordinate international assistance.  The 1972-3 famine was the last one
in which  there were  no  functioning mechanisms  for  the  delivery  of  large-scale  humanitarian
relief.

  The Wollo  famine was  popularly  blamed  on  drought,  a  backward  and  impoverished
social system, and the cover-up attempted by the imperial government.  These factors were all
important — though it must be remembered that specific actions by the government, especially
after  the  Ras  Gugsa  and  Weyane  revolts,  were  instrumental  in  creating  the  absence  of
development.  In addition, forcible alienation of resources and violence also played an important
role.

  The  group  that  suffered most  from  the  famine were  the Afar  pastoral  nomads  of  the
Danakil desert.  Famine had already gripped them in early 1972.  The Afar inhabit an arid semi-
wilderness, utilizing pastures over a large area to support their herds.  In times of drought, they
are  forced to move  to areas which they do not normally exploit.   Traditional drought reserves
included the Tcheffa Valley, on the rift valley escarpment, and pastures along the inland delta of
the Awash  river where  the waters  dissipate  into  the  desert.    In  the  1960s  the Tcheffa Valley
became the location of commercial sorghum farms, and small farmers from nearby also began
to use much of the land.  Meanwhile, large cotton plantations were developed along the Awash.
By 1972, 50,000 hectares of irrigated land had displaced 20,000 Afar pastoralists.

  During the years of good rainfall, the loss of the drought reserves was not noticed by the
Afar, but when repeated drought struck, they found that a necessary resource they had utilized
sporadically for generations had been alienated, without compensation.  Famine among the Afar
was certainly caused by drought — but by drought acting on a society that had been deprived of
the means of responding to that threat.

Portrait of a Man Holding a Christian Symbol, Bieta Golgotha, Lalibela, Wollo Region

Official indifference to the plight of the Afar is illustrated by an incident in 1974, when
the flood waters of the Awash river were directed to the Dubti valley in order to irrigate cotton
plantations.  The resident Afar population was not informed, and 3,000 lost their homes, while
100 were “missing.”

  Mobility is crucial to survival among the Afar.  Nomadic in normal times, the ability to
move freely over large distances becomes a vital concern when resources are short.  In the early
1970s,  the Afar’s mobility  was  further  restricted  by  the  flow  of  weaponry  to  their  nomadic
neighbors  and  competitors,  the  Issa  (who  are  ethnic  Somali).    The  Issa  themselves  were
suffering from the alienation of much of their pasture and restrictions on their movement.  The
result was an attempt by  the Afar  to appropriate wells  formerly used by  the  Issa.   This  led  to
widespread armed clashes, especially in 1972.  One Afar reported “Many people die.  Disease is
the first cause but the Issa are the second.”  Meanwhile, a survey done among the Issa reported
that homicide by the Afar was a major cause of death.  The famine also resulted in large-scale
armed clashes between the Afar and their Oromo neighbors in Wollo.

Man from the Raya Wollo tribe at Hayk market. Ethiopia.  johangerrits

The second group which suffered severely from the famine included farmers in a narrow
strip  of middle-altitude areas  of northern  and  central Wollo.   Those who  suffered most were
tenants.  The Raya and Azebo Oromo had been reduced to that state by massive land alienation
after they participated in the Weyane revolt against Haile Selassie in 1943.  Others were forced
to mortgage  or  sell  their  land  by  the  stresses  of  repeated  harvest  failures  in  the  early  1970s.
Landlords  took  advantage  of  their  tenants’ penury  by  insisting on  the  payment  of  large  rents,
often in kind.   This demand could be backed up by  force, as most  influential  landlords had a
retinue of armed guards.  The enforcement of crippling tenancy contracts in time of shortage had
the effect of taking food from the hungry.  Thus, during 1973, the famine area exported grain to
the provincial capital, Dessie, and to Addis Ababa.

  The famine was much less severe in Tigray province, despite the drought affecting both
provinces.  The difference can be largely accounted for by the different modes of land tenure —
in Tigray, most farmers owned their own land; in middle-land Wollo, most were tenants.
Finally,  the Emperor Haile Selassie considered that the peasants and nomads of Wollo
were shaming His reputation by starving, and resolved to ignore them.  Reports of famine were
consistently  ignored  or  denied.    In  response  to  a  report  by  UNICEF  documenting  famine
conditions  in  July  1973,  the Vice-Minister  of  Planning  retorted:  “If we  have  to  describe  the
situation in  the way you have in order  to generate  international assistance, then we don’t want
that assistance.  The embarrassment to the government isn’t worth it.  Is that perfectly clear?”

  Though  the  governor  of Wollo,  Crown  Prince  Asfa Wossen,  was  both  greedy  and
incompetent  (at the time of  the  famine he forced  the closure of commercial sorghum farms in
the  Tcheffa  Valley  by  engaging  in  litigation,  claiming  their  ownership),  Haile  Selassie was
never  in  ignorance  of  the  conditions  in Wollo.   A UN  official visited him  in early 1973 and
found  him well-informed  —  his  attitude was  that  peasants  always  starve  and  nothing  can  be
done,  and  that  in  any  case  it was  not  the  Shewan Amhara who were  dying.   On  belatedly
visiting the province in November 1973, his one remedial action was to announce that all who
had sold or mortgaged their land in the previous year could return and plow it during the coming
season, only leaving it to their creditors afterwards.  Even this minimal and tardy gesture was
not enforced.

The 1975 Northern Rebellions
The Wollo famine contributed to the downfall of Haile Selassie, not because the hungry
peasants  and  nomads  revolted  and  forced  him  out,  but  because  the  issue  gained  political
currency among the students and middle classes of Addis Ababa.  However, that is not to say
that the famine, and more generally the eight decades of political marginalization and economic
stagnation that preceded it, did not have serious consequences at the time of the 1974 revolution
and the years following.

Proud father with his daughter from the Raya Wollo tribe at Hayk market. Ethiopia.  johangerrits

In  the  early  1970s,  “peasant  risings  in  various  provinces  [were] an even more closely
guarded  secret  than  the  famine”.   These  revolts  intensified  in  during  the  revolution, with  a
series of rebellions led by feudal leaders in each of the northern provinces.  In Wollo, there was
a  revolt  by  a  feudal  lord,  Dejazmatch  Berhane  Maskal.    In  March  1975,  he  destroyed  an
Ethiopian airlines DC3 at Lalibella.  In October, he rallied supporters after a spree of killings of
former landlords by peasants and government security officers.  Dej. Berhane’s ill-armed force
of 5,000 was defeated by government militia and air  force attacks near Woldiya in December
1975, but he continued to cause problems for the government for years.  Another feudal leader,
Gugsa  Ambow,  had  brief  military  successes  in  northern Wollo,  before  the  army  foiled  an
attempt  to  capture  Korem  in  mid-1976,  reportedly  causing  1,200  fatalities  among  Gugsa’s
peasant army and local villagers.18  Other smaller revolts occurred in Gojjam and Shewa.

  The most  significant  rebellion  started  in Tigray.   This was  an  insurrection  led  by  the
former governor, Ras Mengesha Seyoum (son of the governor at the time of the 1943 Weyane).
Ras Mengesha fled to the hills with about 600 followers in November 1984, when the Dergue
executed 60 officials of the previous regime.  Ras Mengesha combined with other members of
the aristocracy, notably General Negga Tegegne  (former governor of Gonder) and formed the
Ethiopian  Democratic  Union  (EDU)  in  1976.    They  obtained  encouragement  from  western
countries.  With Sudanese military assistance, the EDU occupied the towns of Metema, Humera
and Dabat (all in Gonder province) between February and April 1977,19 but was defeated by the
militia force sent to the province in June-July.

Young woman from the Raya Wollo tribe at Hayk market. Ethiopia.  johangerrits

The  EDU  remained  active  in  Tigray,  where  two  other  rebel  groups  were  also
operational.  The Tigrayan People’s Liberation Front (TPLF) was set up in February 1975 by a
group  of  left-wing  students  and  peasants,  incorporating  the  Tigray  National  Organization,
created  three  years earlier.   Prominent among  its early  leaders was Berihu Aregawi;  later  the
front was  headed  by Meles Zenawi.    In  1978,  the TPLF  set  up  the Relief Society  of Tigray
(REST),  headed  by  Abadi  Zemo.    It  espoused  a mix  of  Tigrayan  nationalism  and  socialist
transformation.   The Ethiopian People’s Revolutionary Party (EPRP), after defeat  in the urban
Red Terror (see chapter 6), retreated to a base in rural eastern Tigray in mid-1977.
The EDU was rent by divisions between its leaders, and its aristocratic leaders failed to
gain popular support among their erstwhile tenants.  Crucially, it suffered defeat at the hands of
the TPLF.20  The EPRP was also defeated by the TPLF and driven into Gonder, creating lasting
bitterness between the two organization.

  After  the  ill-fated Peasants’ March  of  1976,  the  government  launched  a  series  of  five military  offensives  in Tigray: November  1976,  June  1978, October-November  1978, March-
April 1979 and May-June 1979.  Small towns such as Abi Adi changed hands several times.  By
1979,  REST  estimated  that  50,000  people  in  Tigray  were  displaced  on  account  of  war.
Refugees from Tigray and Gonder began to arrive in Sudan in early 1975.  By May there were
34,000; by 1978  there were 70,000.    In February 1979,  the Ethiopian army  invaded Sudanese
territory at Jebel Ludgi, forcing the evacuation of the nearby refugee camp of Wad el Hileui.

Young woman from the Raya Wollo tribe at Hayk market. Ethiopia.  johangerrits

Dates and  Event of Raya Wollo (Raya Oromo) people
1929: Oromo peasants and nomads in Yejju, Raya or Wajerat districts of present southern Tigray and northern Wallo revolted against the rule of Haile Selassie and refused to pay the heavy taxes imposed on them.  The government dispatched troops to put down the revolt.  The peasants with few arms they possessed were able to defeat the troops and capture a large quantity of arms and ammunition.  Additional arms were obtained by the nomads from the Red Sea coast in Tajura.

1929: The Oromo fighters of the revolt in Yejju and Raya controlled a large part of their area and closed the trade route that connected Dasee, the capital of Wallo, to the south.  In a battle with the government forces in October 1929, the Oromo fighters captured 2,000 rifles and 12,000 cartridges.

1930: Tafari Makonnen, throne name Haile Sellassie I, Conquering Lion of the Tribe of Judah, Elect of God and Emperor of Ethiopia, succeeded Zawditu to the throne.

1930: A large government force, led by the war minister, Mulugeta, arrived in Yejju and Raya regions.  The Oromo fighters put up stiff resistance.  The Oromo resistance was finally put down, although temporarily, mainly by the use of airplanes.  It was the first time airplanes were ever used in a war in the Empire.

1931: The first constitution of Ethiopia was introduced.  In this document the term “Abyssinia” was dropped in favor of “Ethiopia,” thereby defining Abyssinians and all the colonized peoples as “Ethiopians.”

1935/1936: Oromo of Raya and Qobbo were fighting Haile Selassie’s army.  At one point, on April 3, 1936 near Ashange Lake, they almost trapped Haile Selassie himself fleeing from the Italians.  He never put his feet in this area again after that.  During the same period, the Oromo guerrillas attacked the retreating Ethiopian army led by Ras Mulugeta and inflicted heavy casualties.  They revenged his earlier (1930) aerial attack on them by killing his son; he himself narrowly escaped.  One of the reasons for the attack was, the Ethiopian army on its way to the war had looted the property of the Oromo communities.

1943: The Oromo uprising in Raya was temporarily suppressed with the assistance of the British Royal Air Force stationed in Aden.  Many of the leaders of the Oromo movement were also implicated in the Woyane revolt in Tigray in 1943.

1947/1948: The Raya Oromo rose up in arms again.  Again after they had liberated a large area of their land, the movement was stopped when the British Royal Air Force in Aden, at the request of the Ethiopian regime, bombed the Oromo guerrilla positions

56. Woman from the Raya wollo tribe woman from the Raya Wollo tribe at Hayk market. Ethiopia.  johangerrits

Source: kwekudee trip down memory lane




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Internet and its enemies: 36 out of 65 assessed countries show decline in internet freedom, 41 passed or proposed new laws to curb It. #Ethiopia. #Africa January 6, 2015

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Africa, African Internet Censorship, Ethiopia & World Press Index 2014, Facebook and Africa, Internet Freedom.
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mapofinternetfreedom

January 6, 2015 (Dazeinfo) — Amid all those talks of an overwhelmingly large majority of people (83%) wanting to make the right to access the internet at affordable prices a basic human right, most of us do not bother to look beyond getting connected to the net. Without undermining the importance of being connected to the internet, there is no doubting the need to ensure freedom over the internet.

Sadly enough, internet freedom has fallen for the fourth consecutive year in wake of more and more countries introducing belligerent and often offensive online censorship measures while others tightened the noose and made their existing measures in regard to the same more rigorous.

The fifth annual Freedom on the Net 2014 report released by Freedom House, an independent watchdog organization, tracks the developments between May 2013 and May 2014 and observed that out of the 65 assessed countries, 36 have shown a negative trajectory in 2014.

Key Findings of the Freedom on the Net 2014 Report

It has been observed that an increasing number of countries are now giving legal sanction to laws that curb internet freedom, in total contrast with the previous government policy of controlling the internet using invisible strings.

Expressing dissent with the government policy or not toeing their line in the online space can invite legal action now, due to which more and more individuals and media outlets are under pressure to either censor their online behavior or face legal action and, in extreme cases, even arrest.

That is in addition to blocking and filtering of content which are among the most common means of online censorship. Imprisoning those who put up ‘undesirable’ content is being seen by governments as a deterrent and, according to them, encourages self-censorship.

 

wherenointernetfreedom

At the same time, the use of physical violence against internet users ‘appears to have decreased in scope,’ says the report.

Of the 65 countries being assessed, 36 showed a decline in the degree of Internet freedom since May 2013.
Five countries with the most and least internet freedom were depicted in the form of a chart by the online statistics portal, Statista:

Iran, Syria and China were confirmed as the worst abusers of internet freedom in the world- a dubious honor for them! Countries wishing to impose more restrictions (like Iran, Belarus and Uzbekistan) often cite China as an example!
Iceland was ranked as the country with the highest degree of internet freedom. Five more countries which were appreciated in this regard are Estonia, Canada, Australia, Germany and the United States.
41 countries passed or proposed new laws to penalize expressing of views over the internet, to increase the surveillance capabilities of the governments or to increase the powers of the government to control the content which get published online.
Very few countries recorded an improvement in the degree of freedom over the internet.
India and Brazil were among those few nations where some curbs were taken off. Belarus also eased some restrictions.
Concern was shown over both democratic and authoritarian governments seeking to curb the freedom of the internet.
Penalty for online expression in some countries is worse than for similar expression off the internet.
19 countries passed new laws to increase surveillance or to restrict user anonymity.
The number of people detained or prosecuted for their online behavior touched a record high, surpassing all previous figures.
Among those prosecuted, online journalists and bloggers covering anti-government demonstrations were among the prime targets.
Women all over the world “face immense cultural and socio-economic barriers to ICT access, resulting in significant gender gap in ICT use.
The LGBTI community also faces great threats and harassment over the internet.
With more and more internet users beginning to guard their online privacy, “malware attacks against government critics and human rights organizations have evolved to take on a more personalized character.”
Shocking Instances of Curbs on Internet Freedom across the World!

There have been many instances of internet freedom being curbed all over the world. And it is not only surprising but also shocking that even the so-called ‘democratic’ countries have not been liberal with their internet access policy. Some incidents which sent shock waves across everyone’s spines during the period covered by the report are:

The Russian government enacted a law to crack down on all online media which criticized the Vladimir Putin’s policy toward Kremlin without any judicial oversight. Three major news sites were blocked within six weeks as a result of this law.
One of the worst offenders, Iran, does not allow its citizens to access social networking sites like Facebook, Instagram, YouTube and Twitter. Those promoting Sufism online were made to serve long prison sentences. Six Iranians who recorded a video of them dancing to Pharrell’s song “Happy” and posted it on YouTube (the video later went viral) were punished with 91 lashes each and six months of imprisonment. The director was ‘awarded’ a full year.
A new law in Ethiopia allows the government to snoop into computers, networks, internet sites, social media platforms, television and radio stations “for any possible damage to the country’s social, economic, political and psychological well-being”, citing that blogs, social media sites and other digital media have the potential to “instigate war, to damage the country’s image and create havoc in the economic atmosphere of the country.”
Governments in Turkey, Thailand, Russia, Kazakhstan and Italy allow agencies controlled by them to block content with no judicial oversight and with little or no transparency at all.
Uzbekistan passed a law requiring owners of cybercafés to record browsing history of customers for three months.
The draconian ‘bloggers law’ passed by the Russian government in May 2014 increased government surveillance of social media users by making it mandatory for anyone having sites or pages which draw more than 3,000 daily views to register with the telecommunications regulator.
A blogger in Ethiopia was sentenced to an 18 year term while six more await a trial for expressing dissent over government policies or actions over the internet.
News site editors in Azerbaijan were arrested and implicated under charges of hooliganism or drug possession.
Kavita Krishnan, a women’s rights activist in India, was harassed online by someone using the handle @RAPIST.
Mukhlif al-Shammari who posted a YouTube video about mistreatment of females in Saudi Arabia was jailed for five years.
Egyptian government used an application called Grindr to track and prosecute men belonging to the homosexual community. Russian and Ugandan governments also usedonline tools and malware to lure people belonging to this community and then harassed them.
In June 2013, a woman in Pakistan was stoned to death by local men after she was found guilty of possessing a mobile phone by the tribal court!
Iceland, which boasts of a 97% internet access, has no restrictions over the use of social sites and the government does not block any content was presented as a noteworthy example.

Sanja Kelly, Freedom House’s project director for Freedom on the Net, explained that governments are finding new and less detectable manners to control free speech online

“As authoritarian rulers see that blocked websites and high-profile arrests draw local and international condemnation, they are turning to murkier – but no less dangerous – methods for controlling online conversations”, says Sanjay.

Though it is important to ensure that the internet becomes accessible for a larger number of people, mere access to it will be no good if the government makes it an additional channel for snooping over its citizens or the users are threatened, harassed, discredited, punished or imprisoned for not bowing to the rulers’ diktats.

Read more @ http://ayyaantuu.com/horn-of-africa-news/36-out-of-65-assessed-countries-show-decline-in-internet-freedom-41-passed-or-proposed-new-laws-to-curb-it/

Oromo Voice Radio (OVR): Madda Walaabuu Media Foundation (MWMF) will start English program. #Oromo #Africa January 3, 2015

Posted by OromianEconomist in 25 killer Websites that make you cleverer, Africa, Oromia, Oromia Satelite Radio and TV Channels, Oromiyaa, Oromo, Oromo Culture.
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Madda Walaabuu Media Foundation (MWMF) will start English program

ovr

Oromo Voice Radio (OVR) English Service will be launched on 5 January 2015, every Monday for 15 Minutes from 7:15-7:30 pm Oromia Local time. For the start OVR English Service program will be aired once a week, and with time it hopes to increase the time length and scope of the program.

MWMF is a non-governmental, non-partisan and non-profit organization, incorporated in Washington, D. C. (USA) and Melbourne Australia.Founded in 2013 by a broad based collective of human rights advocates, civic society leaders, journalists and community members who are committed to the principles of democracy, human rights, freedom and justice, the MWMF provides an independent voice for the Oromo people and other voiceless communities of the Horn of Africa, including the Diaspora communities from the region.

The MWMF envisions that providing public education through its media outlets will enhance knowledge and appreciation about the true nature of the Oromo society and also the interest and its neighbours. MWMF’s pride is our common bond, aspirations, achievements and the desire to be a positive voice in the global society.

The OVR English Service program is designed to address issues that impact on the daily life of Oromo people and its neighbours in the Horn of Africa. It broadcasts 15 minutes English Program every Mondays at 7:15 PM local time at 16 MB or 17850 kHz.

For further information please call Mr. Aliye Geleto Anota on 61422602204 or email mwmfdirector@gmail.com

The Science of Productivity December 21, 2014

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Economics, Opportunity Cost, The Mathematics of Cities, Theory of Development.
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How to get more done—and in less time

http://qz.com/315903/how-to-get-more-done-and-in-less-time/

In today’s busy world, we’ve become a people obsessed with productivity and “work hacks.”

Getting more done in less time allows us to get ahead, and even gives us more availability to do the things we love outside of work.

The problem we run into is that it is easy to get motivated, but hard to stay disciplined.

Most of us look at productivity in the wrong way: task management tools are shiny at first and then go unused. Being chained to your desk is as unhealthy as it is unproductive.

Achievement isn’t about doing everything, it’s about doing the right things–productivity means saying no.

Focus and consistency are the bread-and-butter of being truly productive. Right now, we’ll take a look at the science behind how the brain works in the synthesis state, and what changes you can make for the better.

 The first thing to acknowledge in the pursuit of getting more done is the mountain of evidence that suggests willpower alone will not be enough to stay productive.

According to research by Janet Polivy, our brain fears big projects and often fails to commit to long-term goals because we’re susceptible to “abandoning ship” at the first sign of distress.

Think of the last time you went on a failed diet.

You stocked your fridge with the healthiest foods and planned to exercise every day… until the first day you slipped up. After that, it was back to your old ways.

To make matters worse, research by Kenneth McGraw was able to show that the biggest “wall” to success was often just getting started. Additional research in this area suggests that we’re prone to procrastinating on large projects because we visualize the worst parts; the perfect way to delay getting started.

According to researcher John Bargh, your brain will attempt to “simulate” real productive work by avoiding big projects and focusing on small, mindless tasks to fill your time.

“Big project due tomorrow? Better reorganize my movie collection!”

Perhaps worst of all, numerous studies on the concept of “ego-depletion” have provided some evidence that suggests our willpower is a limited resource that can be used up in it’s entirety. The more you fight it, the more gas you burn. An empty tank leads to empty motivation.

With all of that stacked against us, what can we possibly do to be more productive?

In order to figure this out, one of our best bets is to observe the habits of consistently productive people.

The habits of productive people

If I were to ask to describe the practice regiments of world-class musicians, you’d probably envision a shut-in artist who plays all day long and then tucks in their instrument at night.

Amazingly though, research by Anders Ericsson that examined the practice sessions of elite violinists clearly showed that the best performers were not spending more time on the violin, but rather were being more productive during their practice sessions.

Better yet, the most elite players were getting more sleep on average than everyone else.

How is that possible?

Subsequent research by Anders reveals the answer: the best players were engaging in more “deliberate practice.” You’ve heard the term, but beyond the hype, what is it all about?

It’s nothing more than spending time on the hardest tasks, and being better at managing your energy levels.

Think of it this way: If you were trying to get better at basketball, you’d be much better off practicing specific drills for two hours rather than “shooting hoops” all day long.

Since deliberate practice requires you to spend more brainpower than busy work, how can you implement it without draining your willpower?

The first answer isn’t very sexy, but it’s necessary: the best way to overcome your fear of spending a lot of energy on a big project is to simply get started.

The Zeigarnik Effect (mentioned above) is a construct that psychologists have observed in numerous studies on “suspense.” One such study gave participants brain-buster puzzles to complete, but not enough time to complete them. The surprising thing was, even when participants were asked to stop, over 90% of them went on to complete the puzzles anyway.

According to the lead researcher:

“It seems to be human nature to finish what we start and, if it is not finished, we experience dissonance.”

It’s the same thing that happens when we become engaged in a story in a book, movie or TV show: we want to see how it ends.

You can use this knowledge to your advantage by just getting started on that next big project; in the most basic sense, don’t focus your motivation on doing Activity X. Instead, focus on making Activity X easier to do.

Start the night before. Is your to-do list already written up? Is your place of work ready for you to get started? Break down barriers of friction before relying on willpower.

On working like an expert

A multitude of research has shown us that discipline is best maintained through habits, not through willpower.

According to Tony Schwartz, CEO of The Energy Project, most people hold their productivity back by not rigidly scheduling work and rest breaks throughout the day.

Since most of us are worried about willpower, we don’t push ourselves to maximum output: instead of “giving our all” for brief sessions, we distribute our effort throughout the day, leading us back to busywork to fill our time.

What should we do instead?

Schwartz often cites a research study conducted by the Federal Aviation Administration that revealed how short breaks between longer working sessions resulted in a 16% improvement in awareness and focus.

Research from Peretz Lavie on ultradian rhythms matches up with these findings: longer productive sessions (of 90 minutes) followed by short breaks (of no more than 15-20 minutes) sync more closely with our natural energy cycles and allow us to maintain a better focus and higher energy level throughout the day.

ultradian rhythm

Both of these studies on energy management match up with the practice schedules of the violinists: the most common regimen for the cream of the crop players was a 90-minute block of intense practice followed by a 15-minute break.

The moral of the story is that it’s hard to be productive while trying to maintain high energy levels through your entire day.

It’s much easier to work intensely when you know that a break is just around the corner, not at the end of the day. Instead of trying to conserve energy for hours, break big projects down into smaller chunks and plan a recovery period right after.

For projects done on your own time, try scheduling blocks of 90-minute work sessions with a planned cool down time of 15 minutes directly afterwards. When you know a break is on the horizon, you won’t try to “pace yourself” with your work, and will be more inclined to dive into the difficult stuff.

While great for tackling the toughest parts of large projects, this technique doesn’t really address many problems related to discipline, an important part of staying productive for more than just a day or two.

The art of staying disciplined

One segment of the population known for struggling with discipline are those who are addicted to hard drugs.

Given their disposition for being unable to commit to many things, you might be surprised to find that during an experiment testing the ability of drug addicts to write & submit a 5 paragraph essay on time, those who wrote down when and where they would complete the essay were far more likely to turn it in.

These findings have some interesting correlation with those related to discipline in other people: in a study examining the ability of average people to stick with a strict dieting plan, researchers found that those participants who rigorously monitored what they were eating were able to maintain far higher levels of self-control when it came to maintaining their diet.

Last but not least, Dan Ariely and colleagues conducted a study involving college students and found that students who imposed strict deadlines on themselves for assignments performed far better (and more consistently) than those who didn’t.

These findings were especially interesting because Ariely noted that students who gave themselves too generous of a deadline often suffered from the same problems as students who set zero deadlines: when you allot yourself too much time to complete a task, you can end up creating a “mountain out of a molehill.”

Since we now know that tracking our progress is a key component of productivity, how can we implement this practice into our daily routine?

One method is to use an accountability chart to track what work you’ve completed during your 90-minute productive sessions, similar to how the dieters tracked their food consumption.

To easily implement one, simply create two-columns on a piece of paper, Google Docs spreadsheet, or even a whiteboard.

  • Column 1 will list the time-span of one of your productivity sessions.
  • Column 2 will list what tasks you’ve accomplished in that limited time-span.

accountability chart

Don’t include any columns for your 15-minute breaks, as those times are for your own sake and means to replenish your willpower.

This works well for 2 specific reasons:

Dr. Kentaro Fujita argues that tracking your progress in this way is helpful because you’ll be exposed to the work you’ve actually accomplished, and not the (inaccurate) assumption of work you might construe in your head.

Forcing yourself to write down the fact that you spent 2 hours on YouTube isn’t about shaming, it’s about awareness; you’ll be less likely to do it again.

Progress tracking is also a known strategy for stopping yourself from engaging in robotic behavior (also known as busywork), a habit that researcher John Bargh describes as the #1 enemy of goal striving.

Productivity and multitasking

With a work schedule, an energy management strategy, and a task-tracking system in place, the last challenge we have to face is that of multitasking.

According to a 1999 study, we have a tendency to view multitasking as effective, even when it isn’t.

However, researcher Zhen Wang was able to show that on average, multitaskers are actually less likely to be productive, yet they feel more “emotionally satisfied” with their work—creating an illusion of productivity.

Worse yet, Stanford researcher Clifford Nass examined the work patterns of multitaskers and analyzed their ability to:

  1. Filter information
  2. Switch between tasks
  3. Maintain a high working memory

He found that they were terrible at all three.

According to Nass:

“We were absolutely shocked. We all lost our bets. It turns out multitaskers are terrible at every aspect of multitasking.”

When working on the computer, the best thing you can do is turn on Airplane Mode; no need for temptation when you can’t even access the web. If you’re unable, help yourself with tools like StayFocusd to block distracting sites.

The next best strategy is to create an evening planning ritual where you select a few priority tasks to accomplish the next day.

The reason this method works far better than planning your daily tasks in the morning? Research from the Kellogg School has shown that we miscalculate the amount of focus we’ll be able to maintain in the future. We strongly believe that we’ll be able to quickly plan our day the next morning, but when tomorrow rolls we stumble off track.

You can create an evening planning ritual with a simple pen & paper or use an online tool like TeuxDeux each night. List only priority tasks (the “big 5”) for the day.

TeuxDeux

Instead of listing “Work on research project” as a daily goal, try something like “Finish introduction” or “Find additional sources” as a task you can actually complete.

The instant replay

Let’s play that all back real quick:

Willpower alone is not enough: Your productivity shouldn’t be reliant on your sheer force of will alone. Mental toughness will go a long way, but in order to stay disciplined you’re better off relying on systems.

Give yourself the ability to go “all-in”: Working harder on the stuff that matters is going to drain you mentally & physically. Don’t be afraid of giving yourself multiple breaks throughout the day. It’s better to “chunk” productivity sessions into 90 minute periods (in order to keep yourself sharp and to alleviate the stress of pacing your energy throughout the entire day.

If it’s not worth measuring, it’s not worth doing: Tracking has been proven to be the best way to stay diligent about your progress. Create an accountability chart to list what productive things you’ve gotten done throughout the day. You’ll see how much you’re really accomplishing.

Multitasking is your enemy: Treat it as such. Block out unwanted distractions and as Ron Swanson would say, “Never half-ass two things, whole-ass one thing.” Plan your day the night before so you won’t get consumed with the wonderful distractions of the internet when you start your day.

Read  from its source @ http://qz.com/315903/how-to-get-more-done-and-in-less-time/

Ethiopia is one of 10 least connected in the digital world in mobile phone and internet use. #Africa November 27, 2014

Posted by OromianEconomist in 25 killer Websites that make you cleverer, Africa, African Internet Censorship, Ethiopia & World Press Index 2014, Facebook and Africa, Free development vs authoritarian model, Groups at risk of arbitrary arrest in Oromia: Amnesty International Report, The 2014 Ibrahim Index of African Governance, The Colonizing Structure & The Development Problems of Oromia, The Global Innovation Index, The Tyranny of Ethiopia, The Tyranny of TPLF Ethiopia, Tweets and Africa.
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Denmark, Korea And Sweden are the world’s most digitally connected countries while Ethiopia is one of 10 least connected

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November 26, 2014 (The Telegraph) — Denmark has been named the world’s “most connected” country based on mobile phone and internet use.

Scandinavia dominated this year’s rankings, with Sweden in third place, followed by Iceland in fourth, Norway sixth and Finland eighth. Britain came fifth.

They were compiled as part of a report by the International Telecommunication Union – theInformation and Communication Technology Development Index (IDI), which rates 166 countries according to their level of access to, use of and skills in using information and communication technology.

Hong Kong was the ninth most connected country, coming in ahead of Japan in 11th place, while Luxembourg completed the top 10.

Other countries in the top 30 included the US (which ranked 14th), Australia, Switzerland, Singapore, Germany, France, New Zealand, Estonia and Macau, as well the principalities of Andorra and Monaco.

The 10 least connected countries were all in Africa, with the Central African Republic being the worst, followed by Niger, Chad, Eritrea and Ethiopia.

All countries were shown to have improved their IDI values in the last year, while the nations with the “most dynamic” improvement in ranking included the United Arab Emirates, Fiji, Cape Verde, Thailand, Oman, Qatar, Belarus, Bosnia & Herzegovina and Georgia. Improvements were said to have been driven mostly by better wireless broadband connection.

Europe proved to be the most connected region, scooping up eight of the top 10 rankings, while Africa had the lowest regional ranking. The continent, however, did show a mobile broadband growth rate of more than 40 per cent in 2014 on last year.

Nearly three billion people globally will be using the internet by the end of this year, up by nearly 40 per cent on last year. But 450 million people still don’t live within reach of a mobile signal, while 4.3 billion people are not connected to the internet – with 90 per cent of those living in developing countries, the report said.

Earlier this year, Telegraph Travel’s technology expert Donald Strachan outlined the “world’s Wi-Fi-friendliest cities”, featuring various countries from the top 40 of this year’s IDI report.

Connecting in the Finnish capital of Helsinki is password-free and easy thanks to a network of hotspots in public buildings, civic squares and even on some buses and trams around the city.

Hong Kong, “one of the world’s most futuristic cities”, was said to be generous with free internet access in public areas. There are several free Wi-Fi networks, the key ones being GovWiFi (at parks, libraries, public buildings, ferry terminals and more) and MTR WiFi, which provides 15 minutes of free Wi-Fi per device up to five times every day at MTR stations.

Taipei offers 30 days of free access to a national, government-backed network of over 5,000 hotpsots. Hundreds of these free iTaiwan hotspots are available throughout the Taiwanese capital.

Macau was noted for its WiFiGo service which offers free internet for visitors every day between 8am and 1am. The network has around 150 hotspots, meaning there’s usually Wi-Fi close by, including at ports, museums and tourist information centres.

Other major cities with free public Wi-Fi access include New York, Paris and Perth, Australia, as well as Florence and Tel Aviv, which has eighty hotspots dotted around its centre.

Access to free Wi-Fi has been an increasingly important factor for travellers around the world, especially when booking a hotel. Britain’s hotels were found to be among the worst in Europe for free Wi-Fi access, while the two best performing cities were both Swedish – Malmö and Gothenburg, where 98 per cent and 96 per cent of hotels were found to offer free Wi-Fi, a survey by the travel search engine KAYAK earlier this year revealed.

A new website aiming to help travellers in the search for free and fast wireless internet access was introduced earlier this year.Hotewifitest.com lets hotel guests test the speed of their internet connection, and then stores the results for others to view. It also records whether the Wi-Fi is free or comes at a price.

Several airports around the world also offer free Wi-Fi services, with Dallas-Forth Worth in Texas being among the best, providing free Wi-Fi in all five of its terminals since 2012. Since upgrading its former paid network, the number of daily Wi-Fi connections has risen from 2,000 to 55,000. Helsinki Airport, Singapore’s Changi Airport, Seoul’s Incheon Airport and Amsterdam Schiphol complete the world’s top five for airport Wi-Fi quality.

Earlier this year, Britain’s biggest airports have been criticised for failing to provide passengers with unlimited Wi-Fi access.

None of Britain’s six busiest airports – Heathrow, Gatwick, Manchester, Stansted, Edinburgh and Luton – offer unlimited free internet access, according to a study by Skyscanner, the flight comparison website.

Source: The Telegraph

http://www.traveller.com.au/denmark-korea-sweden-the-worlds-most-connected-country-11uwmr

 

 

 

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10 Best and Brightest YouTube Videos That Will Change How You Think October 8, 2014

Posted by OromianEconomist in 10 best Youtube videos, 25 killer Websites that make you cleverer, Inspirational Oromo Women, Tweets and Africa, Uncategorized.
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10 YouTube Videos That Will Change How You Think

http://time.com/3481914/inspiring-youtube-videos/

While you may think of YouTube as a place to check out the latest in funny animal videos, there’s a lot of content that caters to the brain rather than the funny bone.

We’ve found the best and brightest videos for you to enjoy when you need to stretch your mental muscles. These cover a variety of topics, but they’re all guaranteed to make you look at the world around you at least a little bit differently.

Dan Gilbert: Why Are We Happy? Why Aren’t We Happy?

Scientist Dan Gilbert has made some surprising discoveries about happiness. For example, lottery winners and paraplegics both have about the same level of happiness one year after the event that changed their lives. How is that possible?

Gilbert explains how our long-term happiness is not on based getting what we want, but how our brains react when we don’t get what we want. And he demonstrates this by way of Mick Jagger, Monet and amnesiacs. Confused? Watch this 22-minute video as he talks about exactly how this works based on his scientific studies into the matter.

Stephen Hawking: Questioning the Universe

One of the most brilliant scientists of our time not only discusses how the universe began and the probability of alien contact, but how that information determines how we should proceed in the future. Given mankind’s selfish and aggressive expansion, Stephen Hawking makes a case for space exploration so that we can continue to thrive on other habitable worlds.

Elizabeth Gilbert: Your Elusive Creative Genius

If you are pursuing creative endeavors, either professionally or personally, this talk by the author of best-seller of Eat, Pray, Love is for you. She questions the assumption we all have that creativity and suffering go hand-in-hand, and challenges creative people to look at their work and their life’s passion to create in a different, more positive light.

Colin Stokes: The Hidden Meanings in Kids’ Movies

Father of two, Colin Stokes wonders aloud, “Why is there so much Force in the movies we have for our kids and so little Yellow Brick Road?” By that, he means films aimed at boys tend to teach them that violence is the answer and a woman is their prize (i.e. Star Wars.) And films aimed at girls tend to teach them to work together and make allies to overcome problems (i.e. The Wizard of Oz.)

The question he has: why aren’t there films focused on gaining allies and solving things diplomatically aimed at boys? Why aren’t there more films that teach young men not to objectify women and treat them as the reward they are entitled to? Most importantly, Colin talks about what we as parents can do about it.

Amy Webb: How I Hacked Online Dating

Is there an algorithm for love? Statistician Amy Webb analyzed not only what she wanted out of a potential husband, but also what men she liked were looking for. Using this process, she altered her online dating profile and it caught the eye of the man she would end up marrying.

This is not just a story about how to find the ideal mate, but how to approach any passion in your life in a way that gets you what you want in a smart way designed for success.

Randy Pausch: The Last Lecture: Achieving Your Childhood Dreams

Though the “Last Lecture” series at Carnegie Mellon University is themed around what the professors’ last lectures would be, for Randy Pausch, who had recently been diagnosed with terminal cancer, this would literally be his last lecture. But don’t think this video is a downer because Pausch is dying: He’s in good humor, and you’re guaranteed to crack a smile while watching his inspirational talk about how to live life to its fullest.

Told through Pausch’s reminiscing, his lecture focuses on achieving one’s childhood dreams and, even better, how to help others achieve their dreams. At over an hour in length, it’s well worth your time.

Steve Jobs: Stanford Commencement Address

Several years before his death, the Apple CEO gave the commencement address to the graduates at Stanford University. In it, he talks about his own life: He dropped out of college after six months, unable to see the value in whiling away all of his parents’ savings. He didn’t know how at the time, but he hoped it would all work out — and if you know anything about the story of his life, it did.

His message of believing in yourself and following your own path is full of humor and insight. It isn’t to be missed and only clocks in at a little more than 15 minutes.

Susan Cain: The Power of Introverts

We live in a world that doesn’t always cater to the needs of introverts—a personality type that accounts for a third to half of all people and tends to prefer quiet over loud, isolation over socialization. Cain, an introvert and the author of Quiet: The Power of Introverts, offers a thought-provoking argument that suggests introverts have as much to offer the world as their extroverted brethren.

One of the more popular TEDTalks, The Power of Introverts runs just under 20 minutes and may make you see a new side of yourself or those around you.

Eli Pariser: Beware Online “Filter Bubbles”

Don’t know what a filter bubble is? It’s a phenomenon unique to the Internet-era in which our interests and preferences tailor the kinds of content we see on search engines and social channels. And while it can be helpful in directing us to the information most relevant to us, in this nine-minute TEDTalk, Eli Pariser explains that it can also prevent us from seeing opposing viewpoints.

Sheryl Sandberg: Why We Have Too Few Women Leaders

Facebook COO Sheryl Sandberg is well-known as a business leader who’s been outspoken on the subject of women in the workplace. So it’s no surprise that when she spoke at a TED Conference, she gave a 15-minute passionate argument for why we need more women leaders in the world. She also focuses on the messages we send women about working and the messages we send our daughters as well.

See more @ http://time.com/3481914/inspiring-youtube-videos/