Aug. 29, 2012

Apology index, per country

Often enough, I’ll see things like “U.S. Apologized for” in news articles. And every once in awhile, I’ll see a different country mentioned. Obviously, this sort of thing is a metonym, but the curiosity got the better of me. How many other countries apologize for things?

So, I set out to anger Google and search through an entire list of countries that apologized for things. Many Google captcha laters, I came up with a list of results for “___ apologized/es for.”  When you plot this list against the GDP, it starts looking interesting.

Mouseover a country, or click a grid slice to zoom in

Now, before you can conclude that China and Japan are the honey badgers of apologies, this little dataset is not scientific.  Or, it is insofar that you must understand its limitations.  Google estimates and limits its results, countries vary in web presence, and not everyone writes in English in their internet spheres.

Instead of a literal number of apologies, this charticle shows English language presence on the internet and, to some extent, maturity of their public diplomacy efforts.

 

Data: Sample was taken in December of 2011.  GDP is in millions. Countries making a ton of money are boldfaced.

Country Results GDP
USA 666,000 14,526,550
Israel 506,000 217,445
Canada 504,000 1,577,040
Syria 278,000 59,330
Egypt 107,000 218,465
Australia 106,000 1,237,363
Japan 104,000 5,458,797
Mexico 87,200 1,034,308
Uruguay 84,200 40,272
Chile 66,500 203,299
United Kingdom 56,900 2,250,209
Poland 42,500 469,401
Cameroon 34,000 22,522
Kenya 31,700 32,092
Philippines 31,400 199,591
China 31,200 5,878,257
Netherlands 25,100 780,668
Serbia 23,800 38,009
Iran 21,500 407,382
Malaysia 19,500 237,959
Thailand 18,300 318,908
Korea, South 15,100 1,014,482
Jordan 12,500 26,447
Guatemala 11,800 41,178
Angola 9,800 82,471
Turkey 9,700 735,487
Germany 9,650 3,286,451
France 8,310 2,562,742
Ireland 7,590 206,985
New Zealand 7,510 140,509
India 6,790 1,631,970
Colombia 5,760 289,433
Vietnam 5,700 103,574
Libya 4,060 71,336
Russia 3,910 1,479,825
Sweden 3,760 458,725
Georgia 3,460 11,665
Spain 3,320 1,409,946
Norway 3,190 412,990
Greece 3,090 305,415
Cambodia 3,060 11,629
Iraq 2,900 81,112
Singapore 2,830 222,699
Bolivia 2,670 19,810
Denmark 2,500 309,866
Guinea 2,330 4,633
Republic of China (Taiwan) 2,050 429,845
Slovakia 2,000 87,450
Italy 1,820 2,055,114
Brazil 1,740 2,090,314
Indonesia 1,730 706,752
Chad 1,620 8,557
Peru 1,470 153,802
Papua New Guinea 1,440 9,520
El Salvador 1,300 21,215
Yemen 1,230 31,315
Pakistan 1,120 176,870
Sudan + South Sudan 1,070 65,389
Ukraine 1,020 137,934
Belgium 994 467,779
Lebanon 928 39,236
Suriname 889 3,682
Country Results GDP
Croatia 874 60,834
Uganda 772 17,011
Zimbabwe 419 7,476
Bulgaria 254 47,702
Ghana 245 32,321
Argentina 243 369,992
Afghanistan 158 15,541
South Africa 154 363,655
Hungary 133 130,421
Nigeria 81 202,576
Switzerland 79 527,920
Austria 77 377,382
Saudi Arabia 76 448,360
Iceland 65 12,594
Samoa 65 530
Benin 58 6,574
Estonia 54 19,253
Burma 52 45,428
Jamaica 49 13,356
Moldova 48 5,810
Macedonia, Republic of 39 9,214
Bosnia and Herzegovina 30 16,530
Portugal 20 229,154
Montenegro 9 4,017
Panama 8 26,808
Ethiopia 8 29,717
Kuwait 8 132,569
Congo, Democratic Republic of the 8 13,103
Congo, Republic of the 8 12,030
Paraguay 7 18,427
Venezuela 7 293,268
Belarus 7 54,713
Romania 7 161,629
Namibia 6 11,700
Zambia 6 16,192
Trinidad and Tobago 6 20,375
Fiji 6 3,109
Honduras 5 15,347
Bahrain 5 22,656
Luxembourg 5 55,195
Haiti 5 6,575
Morocco 5 91,135
Cyprus 5 23,174
Liberia 4 989
Mauritius 4 9,724
Albania 4 11,898
Finland 4 239,177
Hong Kong 4 224,459
Tanzania 4 22,543
Armenia 3 9,371
Ecuador 3 57,978
Mongolia 3 6,244
Laos 3 6,461
Rwanda 3 5,578
Lithuania 3 36,370
Eritrea 3 2,117
Nepal 3 15,710
Czech Republic 2 192,030
United Arab Emirates 2 302,039
Seychelles 2 937
Malta 2 8,271
Sri Lanka 2 49,536
Country Results GDP
Slovenia 2 47,733
Grenada 1 789
Tuvalu 1 31
Sierra Leone 1 1,905
Swaziland 1 3,698
Maldives 1 2,168
Barbados 1 4,110
Nicaragua 1 6,551
Latvia 1 24,013
Kazakhstan 1 148,047
Bangladesh 1 105,560
Botswana 1 14,866
Senegal 1 12,865
Tunisia 1 44,278
Mali 1 9,389
Azerbaijan 1 54,370
Bahamas, The 1 7,700
Belize 0 1,401
Guinea-Bissau 0 837
Oman 0 57,851
Djibouti 0 1,129
Qatar 0 127,332
Saint Lucia 0 1,198
Antigua and Barbuda 0 1,245
Gambia, The 0 1,059
Vanuatu 0 693
Tonga 0 363
São Tomé and Príncipe 0 214
Kiribati 0 152
Algeria 0 157,759
Dominica 0 476
Comoros 0 574
Bhutan 0 1,457
Saint Vincent and the Grenadines 0 684
Saint Kitts and Nevis 0 676
Timor-Leste 0 628
Solomon Islands 0 717
Central African Republic 0 1,987
Kosovo 0 5,562
Niger 0 5,493
Malawi 0 5,397
Equatorial Guinea 0 14,500
Gabon 0 13,137
Tajikistan 0 5,642
Madagascar 0 8,837
Burkina Faso 0 8,961
Mozambique 0 9,495
Brunei 0 12,371
Kyrgyzstan 0 4,615
Turkmenistan 0 20,001
Lesotho 0 2,316
Guyana 0 2,258
Dominican Republic 0 51,626
Cape Verde 0 1,665
Uzbekistan 0 38,987
Togo 0 3,183
Côte d\'Ivoire 0 22,963
Costa Rica 0 35,789
Mauritania 0 3,629
Burundi 0 1,489
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Jun. 29, 2012

Half of news articles shared on twitter

Was reading about Datawrapper when I ran into this snippet:

“It is based on a study by Rippla that found half of news articles shared on Twitter are BBC News stories…”

 

Quite frankly, that ratio doesn’t sound right. But science aside, my immediate response came in a Borat voice.

But is it not a problem that the twitter have a smaller character limit than website?
The government scientist Dr. Yamuka has proved it is size of squirrel.

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Jan. 03, 2012

It’s amazing I have any life at all

RespondentAverage EQAverage SQBrain Type
Males39.061.2Systemizing
Females48.051.7Empathizing
My Score2350Extreme Systemizing

Though I’m not a child and not apparently autistic, I recently took an autism researcher’s test on the empathizing / systemizing quotient. Was slightly surprised by the results.

I was under the impression that I’d be more balanced. This might explain some quirks, anyhow.

Some quirks I exhibit (from the ’06 review):

  • Need for sameness
  • Social withdrawal
  • Narrow interests (in just one or two systems)
  • Immersion in detail
  • Reduced ability to generalize.
  • I don’t allow people to nag me into getting things done (oh noes, they might change!)
  • Having friends is too much work and drains me.
  • Video games? Theoretical programming? yapping away?
  • I don’t finish many projects: every data point and more research is needed.
  • I spend more time relaying details accurately, thinking that others would understand the same way, than stating my conclusion. Which I may not have, since the entire system is not yet understood.

This system quotient has to be weighed in with how many dysfunctional symptoms I exhibit in real life. I’ll only acknowledge two here – my friendships suffer as they drain me and frustrate friends, and – my work suffers as I’m not a finisher.  Mere portion of one of my projects has not been updated for a year – yet is the biggest traffic driver for me.  However, the project has gone nowhere now that I am confident I mastered its inner workings.

Read for yourself:

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Nov. 04, 2010

The Meat Pie

This chart shows world’s fattest, biggest meat eaters. Or does it? Sadly, USA is fighting for #5 place.

In more precise words, it’s the obesity (BMI) index compared against the worldwide meat per-capita consumption ratio as averaged from 2002-2007.  Since the available data is sporadic, only these select countries are shown. Interesting to note that the Slovak Republic is ahead of Czech Republic.  Is this an indicator of a foodway-cultural divide – or – difference in available data?

Meat pie, in all its glory.

Now, don’t read too much into it.

Shown here are ratios, meaning that even normal obesity/meat consumption ranges look extreme. Here are the extremes, explained:

France has a fairly low obesity index but a fairly high meat consumption rate.

Turkey has the lowest recorded meat per capita consumption rate. However, its obesity rates are “normal,” producing a higher calculated ratio between the two.

Credits:

* Inspired by pdviz and my growing kangaroo pouch as I chow down my late lunch.

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May. 06, 2010

Contextual Ads

Not sure what triggered the “Be Naughty on Facebook” ad, but, the girl in the video was drinking a red concoction of some kind.

Wine from water perhaps?

facebook-bible-naughty

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Jan. 30, 2009

Nutritional Asses

A coworker of mine was testing integration with a search engine – and while poking around with it, I discovered this little gem:

It’s a lesson in using the ellipsis, I think.

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