Lynn IQ vs. Traffic Fatality Rate

Each One Point Increase in IQ Saves 9 Lives per 100,000 Vehicles

Race is a MUCH bigger factor in our high vehicle fatality rate than DUI, drowsiness, sex, and texting, COMBINED

 

Senegal with an IQ of 64 has 27% fewer fatalities than India, indicating that India's IQ might be 27% lower, or IQ = 55

 

Why IQ vs. Road Deaths

 As we know, IQ tests are not the perfect or only or perhaps the best way to measure the success or failure of a society or economy.  If a country has a high IQ but a miserable traffic system which causes thousands of unnecessary and preventable deaths, what good is it?  If a country has a low IQ but has devised a traffic system which is safer than countries with higher IQ's, isn't this more important of an indicator of its success than its low IQ?  If a country has the resources to build safer roads but instead spends them on war, how good is it if it has a high IQ?  Wouldn't a country with a low IQ which doesn't have the resources to build safer roads but still has a better safety record, isn't this more important than a high IQ?

Sympatico Blog CENSORED

The Sympatico blog which first discussed this WHO Report first censored ALL of our posts, and seems now to be closed, proof that they (and we) were on the right track.The original study can be downloaded from here, but if it�s now missing from that url, just as this one is (which previously reported Kenya to have one of the world�s absolute highest traffic fatality rate in the world), then click here to see it in all its gory details:

http://www.who.int/violence_injury_prevention/road_traffic/global_status_report/en/index.html

Ashkenazi Jews' IQ: 122, or 66?

According to the World Health Organization which has spent years studying traffic safety and other issues related to early mortality, Israel's terrible driving safety record, 240 fatal accidents per 100,000 vehicles, is one of the worst in the world. This makes Israeli roads 123 times more dangerous than roads in San Marino, 35 times more dangerous than Swiss roads, 27 times more dangerous than German roads, and 14 times more dangerous than US roads. They're even twice as dangerous as roads in Libya, the Congo, and Eriteria, 65% more dangerous than roads in India, and more than 20% more dangerous than roads in Ghana and South Africa. They're on par with roads in Guinea-Bisau, who Professor Lynn estimates to have an IQ of 63. To their credit, they are one seventh as dangerous as roads in Sao Tome (IQ of 59), and one third as roads in Gambia (IQ of 64). None of the nations with IQ's greater than 70 come even close to Israel in road deaths. Even roads in the United Arab Emirates, with an IQ of 83, are one fourth as dangerous as those in Israel. Roads in Thailand (IQ of 91) are one fifth as dangerous.

 



This is proof positive that regular IQ tests are incapable of measuring the collective national intelligence of countries, AND that Israel's national intelligence is far below that of Thailand and Saudi Arabia, and much closer to their African neighbors to the south.


 

 

American White Drivers Twice As Dangerous as Swiss or Japanese Drivers

It�s difficult to explain our unusually high fatal accident rate per vehicle if we rely exclusively on raw international data about the tendency of various nations and races to have fatal accidents.  The most conservative estimate for the percentage of black drivers is that they constitute only 6% of all drivers even though they are 13% of the population.  This is justified because most blacks don�t have drivers� licenses, their low incomes means many of them can�t afford to own cars, and they rely more heavily on public transportation than other races. Similarly, we can make the conservative assumption that Hispanics constitute 8% of the drivers even though they are 12% of the population, Asians are 2% of the drivers even though they are 4% of the population, and jews constitute only 1% of all drivers, leaving Whites as 83% of all drivers.

The most probable estimate for the tendency of each of these five racial groups to have fatal accidents is to assume that American Blacks have one fatal accident for every 502 vehicles as their Brethren in Ghana, Asians have 1/1,503 as their brethren in China, Hispanics have 1/1,469 as their brethren in Mexico, Jews have 1/418 as their brethren in the Gaza Strip, and Whites have a rate of 1/14,000 as the Japanese and Swiss do.

This estimate would suggest that we ought to have one fatal accident for every 11,788 vehicles, which is about half our REAL rate of 1 per 5,896:

 

% of American drivers

Fatal accidents per car

Proportion

 

Blacks

6%

502

30.12

 

Asians

2%

1,503

30.06

 

Hispanics

8%

1,469

117.52

 

jews

1%

418

4.598

 

Whites

83%

14,000

11606

 

 

 

 

 

 

U.S.A. average

100%

5,896

11788.3

5,892

 

 

How can this be explained?  Even reducing the estimate for the accident rate of American Blacks to the rate of 1/10 as it is in the Central African Republic doesn�t change this by very much:

 

% of American drivers

Fatal accidents per car

Proportion

 

Blacks

6%

10

0.6

 

Asians

2%

1,503

30.06

 

Hispanics

8%

1,469

117.52

 

jews

1%

418

4.598

 

Whites

83%

14,000

11606

 

 

 

 

 

 

U.S.A. average

100%

5,896

11758.78

5,863

 

The only possibility is that American Whites have a much higher accident rate than the Japanese, or their brethren in Switzerland.  If all of these assumptions are correct, then the only possibility is that American Whites have almost twice as many fatal accidents per vehicle as the Swiss and Japanese, or one fatal accident for every 6,928 vehicles.  This is a rate equivalent Uruguay, England, and Canada who have also been afflicted by multiculturalism. 

 

 

% of American drivers

Fatal accidents per car

Proportion

 

Blacks

6%

10

0.6

 

Asians

2%

1,503

30.06

 

Hispanics

8%

1,469

117.52

 

jews

1%

418

4.598

 

Whites

83%

6,928

5743.312

 

 

 

 

 

 

U.S.A. average

100%

5,896

5896.09

0

 

If we make the liberal assumption that American Blacks are equally as accident prone as Ghanans, that American Asians have half the accident rate of Chinese, Hispanics have half the accident rate of Mexicans, and jews have half the accident rate of the Gaza Strip, then we must assume that American Whites actually have an accident rate of 1/6,710:

 

% of American drivers

Fatal accidents per car

Proportion

 

Blacks

6%

502

30.12

 

Asians

2%

3,006

60.12

 

Hispanics

8%

2,938

235.04

 

jews

1%

836

9.196

 

Whites

83%

6,710

5562.59

 

 

 

 

 

 

U.S.A. average

100%

5,896

5897.066

1

 

The most liberal scenario is that American blacks are 13% of the drivers, Asians 4%, Hispanics 11%, and jews 2%, leaving American Whites as 70% of all drivers with an accident rate of 1/7,015:

 

 

% of American drivers

Fatal accidents per car

Proportion

 

Blacks

13%

502

65.26

 

Asians

4%

6,012

240.48

 

Hispanics

11%

5,876

646.36

 

jews

2%

1,672

33.44

 

Whites

70%

7,015

4910.5

 

 

 

 

 

 

U.S.A. average

100%

5,896

5896.04

0

 

How can it be explained that, regardless of the assumptions we make, American Whites are almost twice as likely as drivers in Norway, the Netherlands, Germany, Japan, and Switzerland, four times as likely as drivers in Malta, and 8 times as likely as drivers in San Marino, to cause or at least be involved in a fatal accident, particularly when we spend so much more than anyone else for car safety, highways and bridges, and traffic laws and police enforcement?  We are the undisputed leader in flawed campaigns like MADD which appear to have made this problem WORSE, not better.

 

IQ of Drivers

Building on Professor Lynn�s success with his excellent �IQ of Nations�, we�ve devised �IQ of Drivers� which takes into account all the factors a nation must consider in order to build a safe highway infrastructure for its citizens.Assuming a linear relationship between fatality rates per vehicle and the average IQ of a nation�s drivers produces a template by which we can estimate a nation�s �IQ of Drivers�.The point is that if all we have is the number of cars and the number of fatal accidents with those cars, we can estimate their overall intelligence in a manner which might be even more accurate, and certainly more comprehensive, than a simple IQ test.

No matter what the reason, if a nation is unable to provide a safe transportation system for their citizens, to the point that they would all be dead within one century if they owned as many cars per capita as many European nations, it deserves the lowest possible �IQ of Drivers�.Conversely, if a nation has a lower fatality rate than one with a higher Lynn IQ, then it deserves a higher �IQ of Drivers� score.This is the case for Japan who Professor Lynn estimates to have an IQ of 105, but whose safety record, while it�s excellent, is lower than Switzerland�s.In order for Japan to fit on the curve, we must reduce Japan�s �IQ of Drivers� by 5 points to 100.

Similarly the �IQ of Drivers� for Germany and the Netherlands, who also have excellent safety records also, needs to be reduced, too, by three points.Conversely, in Norway and Canada, it must be increased 1 point, in Uruguay 2 points, and in Thailand 3 points.

The largest adjustments which must be made to keep the curve linear is to increase Niger by 18 points and UAE by 10 points, contrasted with a reduction for the Gaza Strip of 20 points, of Egypt by 23 points, and of Kenya by 12 points (from 72 to 60 IQ points).A point which is off the chart and thus is a statistical outlier is Ethiopia whose �IQ of Drivers� would have to be decreased 68 points to a NEGATIVE 5 IQ points in order to keep the curve linear.

If a driver in Gaza has been proven to be 24 TIMES more dangerous on the road than the drivers in ALL of Europe, and 35 TIMES more dangerous than one in Switzerland, wouldn�t it make more sense to say that his average IQ is 27 IQ points lower than a Swiss driver (74 vs. 101), rather than only 7 IQ points lower (94 vs. 101).And if that same driver in Gaza is one fourth as likely to kill someone on the highway as one in Ethiopia, then clearly the gap in IQ is much closer to the �IQ of Drivers� gap of 79 than it is to Professor Lynn�s gap of only 31.And if a driver in Kenya has been proven to be 54 TIMES more dangerous than a driver in Switzerland, doesn�t it make more sense to say that the difference in IQ is closer to 41 points (60 vs. 101) than it is to only 29 points (72 vs. 101)?

The reason Kenya appears twice on this graph is that we have three separate data points from WHO regarding the number of vehicles and number of deaths.The graph for Kenya shows 2,893 traffic fatalities and 1,004,243 registered vehicles, whereas Table A.2 shows 3,760 traffic fatalities and 1,004,243 registered vehicles, and a prior table from their Statistical Annex reports that Kenya has only 14 vehicles per 1,000 people which is only 525,000 vehicles.

 

 

 

 

 

 

 

 High IQ Drivers

Ignoring for a moment third world countries who clearly should not promote private ownership of vehicles without threatening their own extinction, and focusing only on countries which have had some success at building transportation infrastructures, produces the following graph:

 

 

Country

number vehicles

total traffic deaths

Vehicles per death

Deaths per 100 thousand vehicles

arencee

IQ

IQ Adjusted

Adjusted by

Korea

48,223,853

571

84,455

1.2

1.2

106

103.4

-2.6

San Marino

51,590

1

51,590

1.9

1.9

103.1

Malta

346,118

14

24,723

4.0

3.9

95

102.8

7.8

Switzerland

5,356,000

370

14,476

6.9

6.9

101

102.2

1.2

Japan

91,378,636

6,639

13,764

7.3

7.3

105

102

-3

Germany

55,511,374

4,949

11,217

8.9

8.9

102

101.8

-0.2

Netherlands

8,862,935

791

11,205

8.9

8.9

102

101.8

-0.2

Norway

2,599,712

233

11,158

9.0

9.0

98

101.7

3.7

Sweden

4,285,000

477

8,983

11.1

11.1

101

101.5

0.5

Canada

20,650,000

2,889

7,148

14.0

14.4

97

101

4

England, Wales

22,607,629

3,166

7,141

14.0

14.0

100

101

1

Uruguay

952,000

145

6,566

15.2

15.2

96

100.7

4.7

USA

251,422,509

42,642

5,896

17.0

17.0

98

100.3

2.3

Marshall Is.

2,487

1

2,487

40.2

40.2

84

96.5

12.5

Thailand

25,618,447

12,492

2,051

48.8

48.8

91

95

4

Cook Is.

10,692

6

1,782

56.1

56.1

0

United Arab Emirates

1,754,420

1,056

1,661

60.2

60.2

83

93

10

China

145,228,994

96,611

1,503

66.5

66.5

100

92

-8

 

Please note that in order to get r-squared as close to a 1.0 as possible, adjustments were made to Professor Lynn�s �IQ of Nations� in tenths of an IQ point. While the Republic of Korea scores very high in academic tests, we had to reduce their �IQ of Drivers� to 97, an 8 IQ point decrease from Professor Lynn�s estimate of 106 in order for Korea to fit on the curve.Similarly, the �IQ of Drivers� for China was reduced 8 IQ points, for Japan was reduced 3 IQ points, and for Germany and the Netherlands .2 IQ points.Conversely, in order to fit the UAE on the curve, we had to increase their �IQ of Drivers� to 93, a 10 IQ point increase from Professor Lynn�s estimate of 83.Ergo the 7.8 IQ point increase in Malta, the 1.2 IQ point increase for Switzerland, the 3.7 IQ point increase for Norway, and the 2.3 IQ point increase for the USA.

What this means is that even though the academic credentials for countries like Japan, Korea, and China are excellent, this doesn�t necessarily translate directly into their having safer or more intelligent drivers AND the ability and resources to build transportation infrastructures.It also means that while the academic credentials for countries like the UAE, Malta, Uruguay, and the Marshall Islands appear to be lacking, their actual implementation of transportation infrastructures, as well as the intelligence of their drivers, exceeds expectations by a significant amount.The other decimal point corrections prove the accuracy of Professor Lynn�s �IQ of Nations� and how it translates into public policy, safer roads, more intelligent drivers, more productive economies, and advancements in technology.

The simple fact that Japan, one of the countries with the highest IQ (105), is also one of the safest countries (7 deaths per 100,000 vehicles), while Kenya, one of the countries with the lowest IQ (72), is also one of the most dangerous countries (288 deaths per 100,000 vehicles), means that the effects of IQ on safe driving just cannot be ignored.

 

 

 

 

Country Road fatalities
per 100,000
inhabitants
per year[4]
Road fatalities
per 100,000
motor vehicles[4]
Road fatalities
per 1 billion
vehicle-km[5]
Total fatalities
latest year
(adjusted/estimated
figures by WHO report)
[4]
Year, data source
(standard source:
The WHO report 2015,[2]
data from 2013
)
Left/Right
traffic

 World 17.4 1,250,000
 Africa 26.6 574[6] 246,719[6]
 Eastern Mediterranean 19.9 139[6] 122,730[6]
 Western Pacific 17.3 69[6] 328,591[6]
 South-east Asia 17.0 101[6] 316,080[6]
 Americas 15.9 33[6] 153,789[6]
 Europe 9.3 19[6] 84,589[6]
 Afghanistan 15.5 722.4 n/a 4,734 2013 Right
 Albania 15.1 107.2 n/a 478 2013 Right
 Algeria 23.8 127.8 n/a 9,337 2013 Right
 Andorra 7.6 7.9 n/a 6 2013 Right
 Angola 26.9 992 n/a 5,769 2013 Right
 Antigua & Barbuda 6.7 20 n/a 6 2013 Left
 Argentina 13.6 24.3 n/a 5,619 2013 Right
 Armenia 18.3 18.2 n/a 546 2013 Right
 Australia 5.4 7.3 5.2 1,252 2013 Left
 Austria 5.4 7.1 5.8 455 2013 Right
 Azerbaijan 10.0 83 n/a 943 2013 Right
 Bahamas 13.8 36 n/a 52 2013 Left
 Bahrain 8.0 19.6 n/a 107 2013 Right
 Bangladesh 13.6 1020.6 n/a 21,316 2013 Left
 Barbados 6.7 16.9 n/a 19 2013 Left
 Belarus 13.7 32.9 n/a 1,282 2013 Right
 Belgium 6.7 10.7 7.3 746 2013 Right
 Belize 24.4 26 n/a 81 2013 Right
 Benin 27.7 8177.2 n/a 2,855 2013 Right
 Bhutan 15.1 167.2 n/a 114 2013 Left
 Bolivia 23.2 205.2 n/a 3,476 2013 Right
 Bosnia and Herzegovina 17.7 76.7 n/a 676 2013 Right
 Botswana 23.6 91.6 n/a 477 2013 Left
 Brazil 23.4 57.5 n/a 46,935 2013 Right
 Bulgaria 8.3 17.2 n/a 601 2013 Right
 Burkina Faso 30.0 328.1 n/a 5,072 2013 Right
 Cambodia 17.4 107.2 n/a 2,635 2013 Right
 Cameroon 27.6 1385.1 n/a 6,136 2013 Right
 Canada 6.0 9.5 6.2 2,114 2013 Right
 Cape Verde 26.1 229 n/a 130 2013 Right
 Central African Republic 32.4 4336.5 n/a 1,495 2013 Right
 Chad 24.1 497 n/a 3,089 2013 Right
 Chile 12.4 51.1 n/a 2,179 2013 Right
 China 18.8 104.5 n/a 261,367 2013 Right
 Colombia 16.8 83.3 n/a 8,107 2013 Right
 Congo 26.4 1063 n/a 1,174 2013 Right
 Cook Islands 24.2 40.2 n/a 5 2013 Left
 Costa Rica 13.9 38.4 n/a 676 2013 Right
 Croatia 9.2 21.1 n/a 395 2013 Right
 Cuba 7.5 133.7 n/a 840 2013 Right
 Cyprus 5.2 9.2 n/a 59 2013 Left
 Czech Republic 6.1 8.5 13.9 654 2013 Right
 Democratic Republic of the Congo 33.2 6405.4 n/a 22,419 2013 Right
 Denmark 3.5 6.7 4 196 2013 Right
 Djibouti 24.7 n/a n/a 216 2013 Right
 Dominica 15.3 44.7 n/a 11 2013 Left
 Dominican Republic 29.3 94.9 n/a 3,052 2013 Right
 Ecuador 20.1 183.8 n/a 3,164 2013 Right
 Egypt 12.8 148.7 n/a 10,466 2013 Right
 El Salvador 21.1 163.7 n/a 1,339 2013 Right
 Eritrea 24.1 2171.5 n/a 1,527 2013 Right
 Estonia 7.0 11.8 n/a 90 2013 Right
 Ethiopia 25.3 4984.3 n/a 23,837 2013 Right
 Fiji 5.8 58.9 n/a 51 2013 Left
 Finland 4.8 4.4 4.8 258 2013 Right
 France 5.1 7.6 5.8 3,268 2013 Right
 Gabon 22.9 196.4 n/a 383 2013 Right
 Gambia 29.4 998.7 n/a 544 2013 Right
 Georgia 11.8 54 n/a 514 2013 Right
 Germany 4.3 6.8 4.9 3,540 2013 Right
 Ghana 26.2 443.1 n/a 6,789 2013 Right
 Greece 9.1 12.6 n/a 1,013 2013 Right
 Guatemala 19.0 114.7 n/a 2,939 2013 Right
 Guinea 27.3 9462.5 n/a 3,211 2013 Right
 Guinea-Bissau 27.5 751.9 n/a 468 2013 Right
 Guyana 17.3 864.4 n/a 138 2013 Left
 Honduras 17.4 1021.7 n/a 1,408 2013 Right
 Hungary 7.7 20.7 n/a 765 2013 Right
 Iceland 4.6 6.1 4.7 15 2013 Right
 India 16.6 130.1 n/a 238,562 2013 Left
 Indonesia 15.3 36.7 n/a 38,279 2013 Left
 Iran 32.1 92.7 n/a 24,896 2013 Right
 Iraq 20.2 151.2 n/a 6,826 2013 Right
 Ireland 4.1 7.6 3.9 188 2013 Left
 Israel 3.6 9.7 5.3 277 2013 Right
 Italy 6.1 7.3 n/a 3,753 2013 Right
 Ivory Coast 24.2 828.9 n/a 4,924 2013 Right
 Jamaica 11.5 61.7 n/a 320 2013 Left
 Japan 4.7 6.5 8 5,971 2013 Left
 Jordan 26.3 151.4 n/a 1,913 2013 Right
 Kazakhstan 24.2 101.4 n/a 3,983 2013 Right
 Kenya 29.1 640.7 n/a 12,891 2013 Left
 Kiribati 2.9 86.9 n/a 3 2013 Left
 Kuwait 18.7 34.2 n/a 629 2013 Right
 Kyrgyzstan 22.0 127.3 n/a 1,220 2013 Right
 Laos 14.3 67.5 n/a 971 2013 Right
 Latvia 10.0 24.8 n/a 205 2013 Right
 Lebanon 22.6 64.8 n/a 1,088 2013 Right
 Lesotho 28.2 474.8 n/a 584 2013 Left
 Liberia 33.7 133.4 n/a 1,448 2013 Right
 Libya 73.4 128.2 n/a 4,554 2013 Right
 Lithuania 10.6 16.1 n/a 320 2013 Right
 Luxembourg 8.7 10.7 n/a 46 2013 Right
 Macedonia 9.4 49.1 n/a 198 2013 Right
 Madagascar 28.4 2963 n/a 6,506 2013 Right
 Malawi 35.0 1310.4 n/a 5,732 2013 Left
 Malaysia 24.0 29.9 12.6 7,129 2013 Left
 Maldives 3.5 19.5 n/a 12 2013 Left
 Mali 25.6 1352.5 n/a 3,920 2013 Right
 Malta 5.1 6.8 n/a 22 2013 Left
 Marshall Islands 5.7 141.8 n/a 3 2013 Right
 Mauritania 24.5 228.7 n/a 952 2013 Right
 Mauritius 12.2 35.6 n/a 158 2013 Left
 Mexico 12.3 43 n/a 15,062 2013 Right
 Federated States of Micronesia 1.9 24 n/a 2 2013 Right
 Monaco 0 - n/a 0 2013 Right
 Mongolia 21.0 88.4 n/a 597 2013 Right
 Montenegro 10.5 31.1 n/a 65 2016[7] Right
 Morocco 18.0 209 n/a 6,870 2013 Right
 Mozambique 31.6 1507 n/a 8,173 2013 Left
 Myanmar 20.3 250.8 n/a 10,809 2013 Right
 Namibia 23.9 196.4 n/a 551 2013 Left
   Nepal 17.0 399.8 n/a 4,713 2013 Left
 Netherlands 3.4 6 4.5 574 2013 Right
 New Zealand 8.5[8] 12.2 8.7[9] 398 2017[10] Left
 Nicaragua 15.3 164.3 n/a 931 2013 Right
 Niger 26.4 1491.1 n/a 4,706 2013 Right
 Nigeria 20.5 615.4 n/a 35,621 2013 Right
 Norway 2.2 3.1 n/a 112 2017[11] Right
 Oman 25.4 85.3 n/a 924 2013 Right
 Pakistan 14.2 283.9 n/a 25,781 2013 Left
 Palau 4.8 14.1 n/a 1 2013 Right
 Panama 10.0 38.4 n/a 386 2013 Right
 Papua New Guinea 16.8 1306.5 n/a 1,232 2013 Left
 Paraguay 20.7 114.7 n/a 1,408 2013 Right
 Peru 13.9 99.3 n/a 4,234 2013 Right
 Philippines 10.5 135 n/a 10,379 2013 Right
 Poland 10.3 15.8 n/a 3,931 2013 Right
 Portugal 7.8 13.7 n/a 828 2013 Right
 Qatar 15.2 50.9 n/a 330 2013 Right
 Republic of Moldova 12.5 61.8 n/a 437 2013 Right
 Romania 8.7 31.4 n/a 1,881 2013 Right
 Russia 18.9 53.4 n/a 27,025 2013 Right
 Rwanda 32.1 3521.1 n/a 3,782 2013 Right
 Saint Lucia 18.1 2103.3 n/a 33 2013 Left
 Saint Vincent and the Grenadines 8.2 31.7 n/a 9 2013 Left
 Samoa 15.8 171.9 n/a 30 2013 Left
 San Marino 3.2 1.8 n/a 1 2013 Right
 São Tomé and Príncipe 31.1 5454.5 n/a 60 2013 Right
 Saudi Arabia 27.4 119.7 n/a 7,898 2013 Right
 Senegal 27.2 956.4 n/a 3,844 2013 Right
 Serbia 10.4 34.5 n/a 735 2013 Right
 Seychelles 8.6 43 n/a 8 2013 Left
 Sierra Leone 27.3 2414.2 n/a 1,661 2013 Right
 Singapore 3.6 20.2 n/a 197 2013 Left
 Slovakia 6.6 13.7 n/a 360 2013 Right
 Slovenia 6.4 9.5 7.6 132 2013 Right
 Solomon Islands 19.2 240 n/a 108 2013 Left
 Somalia 25.4 4480.5 n/a 2,664 2013 Right
 South Africa 25.1 133.9 n/a 13,273 2013 Left
 South Korea 9.3 20.6 15.6 4,777 2014[12] Right
 Spain 3.7 5.3 7.8 1,730 2013 Right
 Sri Lanka 17.4 70.9 n/a 3,691 2013 Left
 Sudan 24.3 2872.8 n/a 9,221 2013 Right
 Suriname 19.1 49.7 n/a 103 2013 Left
 Swaziland 24.2 1667.4 n/a 303 2013 Left
 Sweden 2.8 4.7 3.5 272 2013 Right
  Switzerland 2.6 3.6 3.6 216 2016[13][14][15] Right
 Taiwan - n/a n/a 1,604 2015[citation needed] Right
 Tajikistan 18.8 374.9 n/a 1,543 2013 Right
 Tanzania 32.9 1073.7 n/a 16,211 2013 Left
 Thailand 36.2 74.6 n/a 24,237 2013 Left
 Timor-Leste 16.6 295.8 n/a 188 2013 Left
 Togo 31.1 3653.4 n/a 2,123 2013 Right
 Tonga 7.6 98.1 n/a 8 2013 Left
 Trinidad and Tobago 14.1 58.9 n/a 189 2013 Left
 Tunisia 24.4 154.4 n/a 2,679 2013 Right
 Turkey 8.9 37.3 n/a 6,687 2013 Right
 Turkmenistan 17.4 107.8 n/a 914 2009 Right
 Uganda 27.4 836.8 n/a 10,280 2013 Left
 Ukraine 13.5[3] 35.3 n/a 5,099 2012[16] Right
 United Arab Emirates 10.9 38.2 n/a 1,021 2013 Right
 United Kingdom 2.9 5.1 3.6 1,827 2013 Left
 United States 10.6 12.9 7.1 34,064 2013 Right
 Uruguay 16.6 28.5 n/a 567 2013 Right
 Uzbekistan 11.2 n/a 3,240 2013 Right
 Vanuatu 16.6 300 n/a 42 2013 Right
 Vietnam 24.5 55 n/a 22,419 2013 Right
 Yemen 21.5 436.6 n/a 5,248 2013 Right
 Zambia 24.7 670.9 n/a 3,586 2013 Left
 Zimbabwe 28.2 429.8 n/a 3,985 2013 Left

 

Each One Point Increase in IQ Saves 9 Lives per 100,000 Vehicles 

 

 

 

Country

Number of Vehicles

Total Traffic Deaths

Vehicles per Death

Deaths per 100,000 Vehicles

Deaths per 100 thousand vehicles

Lynn IQ

IQ Ad justed

Adjusted by

 

Relative to Israel

San Marino

51,590

1

51,590

1.9

1.9

 

 

 

 

123.4

Malta

346,118

14

24,723

4.0

3.9

95

100

5

 

60.9

Switzerland

5,356,000

370

14,476

6.9

6.9

101

100

-1

 

34.6

Japan

91,378,636

6,639

13,764

7.3

7.3

105

100

-5

 

32.9

Germany

55,511,374

4,949

11,217

8.9

8.9

102

100

-2

 

26.8

Netherlands

8,862,935

791

11,205

8.9

8.9

102

100

-2

 

26.8

Norway

2,599,712

233

11,158

9.0

9.0

98

100

2

 

26.7

Sweden

4,285,000

477

8,983

11.1

11.1

101

99.5

-1.5

 

21.5

England, Wales

22,607,629

3,166

7,141

14.0

14.0

100

99.5

-0.5

 

17.1

Canada

20,650,000

2,889

7,148

14.0

14.4

97

99

2

 

16.6

Uruguay

952,000

145

6,566

15.2

15.2

96

99

3

 

15.7

USA

251,422,509

42,642

5,896

17.0

17.0

98

99

1

 

14.1

Korea

18,213,228

6,166

2,954

33.9

33.9

105

97

-8

 

7.1

Marshall Is.

2,487

1

2,487

40.2

40.2

84

96

12

 

5.9

Thailand

25,618,447

12,492

2,051

48.8

48.8

91

95

4

 

4.9

United Arab Emirates

1,754,420

1,056

1,661

60.2

60.2

83

94

11

 

4.0

China

145,228,994

96,611

1,503

66.5

66.5

100

93

-7

 

3.6

Iraq

2,242,269

1,932

1,161

86.2

86.1

87

91

4

 

2.8

Libya

1,826,533

2,138

854

117.1

117.0

84

88

4

 

2.0

Congo

311,781

365

854

117.1

117.1

73

87.5

14.5

 

2.0

Eriteria

60,849

81

751

133.1

133.2

68

86

18

 

1.8

India

72,718,000

105,725

688

145.4

145.3

81

85

4

 

1.6

S. Africa

9,237,574

16,113

573

174.4

174.5

72

81.5

9.5

 

1.4

Ghana

931,642

1,856

502

199.2

199.2

71

78.6

7.6

 

1.2

Israel

78,609

188

418

239.2

239.2

94

74.5

-20

 

1.0

Afghanistan

731,607

1,779

411

243.2

243.2

83

74

-9

 

1.0

Guinea-Bisau

57,839

152

381

262.8

262.8

63

71.5

8.5

 

0.91

Kenya graph

1,004,243

2,893

347

288.1

288.1

72

69

-3

 

0.83

Angola

671,060

2,358

285

351.4

350.9

69

62

-7

 

0.68

Egypt

4,300,000

15,983

269

371.7

371.7

83

59.8

-23

 

0.64

Gambia

14,450

54

268

373.7

374.5

64

59.6

-4.4

 

0.64

Kenya table A.2

1,004,243

3,760

267

374.4

374.5

72

59.3

-13

 

0.64

Tanzania

577,949

2,595

223

449.0

449.0

72

51

-21

 

0.53

Niger

76,061

570

133

749.4

749.4

67

18

-49

 

0.32

Uganda

363,658

2,838

128

780.4

780.4

73

15

-58

 

0.31

Sao Tome

1,219

20

61

1,640.7

1,640.7

59

 

 

 

0.15

Ethiopia

109,000

1,800

61

1,651.4

1,651.4

63

 

 

 

0.14

Kenya 1st report

 

 

 

2,040.0

 

 

 

 

0.12

Italy

43,262,992

5,669

7,632

13.1

13.1

102

100

-2

 

18.3

Spain

31,441,152

4,104

7,661

13.1

13.1

99

99

0

 

18.3

 

 

 

 

Country

Number of Vehicles

Annual Traffic Deaths

Vehicles per Annual  Death

Deaths per 100K Vehicles

Lynn IQ

Adjust ed IQ

Adjust ed By

Random Alcohol Breath Testing

San Marino

51,590

1

51,590

1.9

100.5

 

Malta

346,118

14

24,723

4.0

95

100

5

NO

Switzerland

5,356,000

370

14,476

6.9

101

100

-1

NO

Japan

91,378,636

6,639

13,764

7.3

105

100

-5

NO

Finland

4,656,370

380

12,253

8.2

98

100

2

 

Germany

55,511,374

4,949

11,217

8.9

102

100

-2

 

Netherlands

8,862,935

791

11,205

8.9

102

100

-2

 

Norway

2,599,712

233

11,158

9.0

98

100

2

 

Sweden

4,285,000

477

8,983

11.1

101

99.5

-1.5

NO

Spain

31,441,152

4,104

7,661

13.1

69

62

-7

 

Italy

43,262,992

5,669

7,632

13.1

102

102

0

NO

England, Wales

22,607,629

3,166

7,141

14.0

100

99.5

-0.5

NO

Canada

20,650,000

2,889

7,148

14.0

97

99

2

 

Uruguay

952,000

145

6,566

15.2

96

99

3

 

USA

251,422,509

42,642

5,896

17.0

98

99

1

60 million

Korea

18,213,228

6,166

2,954

33.9

105

97

-8

 

Marshall Is.

2,487

1

2,487

40.2

84

96

12

 

Thailand

25,618,447

12,492

2,051

48.8

91

95

4

 

United Arab Emirates

1,754,420

1,056

1,661

60.2

83

94

11

 

China

145,228,994

96,611

1,503

66.5

100

93

-7

 
Mexico 24,970,879 17,003 1,469 68.1 87  92 5  

Iraq

2,242,269

1,932

1,161

86.2

87

91

4

 

Libya

1,826,533

2,138

854

117.1

84

88

4

 

Congo

311,781

365

854

117.1

73

87.5

14.5

 

Eriteria

60,849

81

751

133.1

68

86

18

 

India

72,718,000

105,725

688

145.4

81

85

4

 

S. Africa

9,237,574

16,113

573

174.4

72

81.5

9.5

 

Ghana

931,642

1,856

502

199.2

71

78.6

7.6

 

Gaza Strip

78,609

188

418

239.2

94

74.5

-20

 

Afghanistan

731,607

1,779

411

243.2

83

74

-9

 

Guinea-Bisau

57,839

152

381

262.8

63

71.5

8.5

 

Kenya graph

1,004,243

2,893

347

288.1

72

69

-3

 

Angola

671,060

2,358

285

351.4

69

62

-7

 

Egypt

4,300,000

15,983

269

371.7

83

59.8

-23

 

Gambia

14,450

54

268

373.7

64

59.6

-4.4

 

Kenya table A.2

1,004,243

3,760

267

374.4

72

59.3

-13

 

Tanzania

577,949

2,595

223

449.0

72

51

-21

 

Niger

76,061

570

133

749.4

67

18

-49

 

Uganda

363,658

2,838

128

780.4

73

15

-58

 

Sao Tome

1,219

20

61

1,640.7

59

-59

 

Ethiopia

109,000

1,800

61

1,651.4

63

 

-63

 

 

England

Control of alcohol problems: There is a minimum legal age limit of 18 for purchasing alcoholic beverages. However it is possible to consume some alcoholic beverages in bars or restaurants at 16 or 17 years of age. BAC limit is 0.08 g% for drivers. On conviction for a first or subsequent offence of driving above the BAC limit, suspension of driving licence is usual. Random alcohol breath testing is not carried out. [England REDUCED fatality rates two thirds by DOUBLING alcohol dependence].

 

Italy

Control of alcohol problems The sale of alcohol to those under 16 years of age is prohibited. The BAC limit is 0.08 g% for drivers. Suspension of driving licence or imprisonment is a usual penalty when a person is convicted for a first offence. Random alcohol breath testing is not carried out.

Japan

Control of alcohol products: There are no price controls on alcoholic beverages. No official subsidy is given to the domestic alcohol trade except in the form of the import tariffs imposed on foreign alcoholic beverages.

Malta

Control of alcohol problems There is a minimum legal age limit of 16 years for buying alcohol. There is no specific legislation on the maximum blood alcohol content permitted while driving. If a person has a severe traffic crash and is admitted to the hospital, BAC will be tested there and the result may be used as evidence for insurance purposes. The legal offence is most likely to be one of careless driving

Sweden

At the national level, priorities of the 1990s have been reducing availability; mass media campaigns to encourage safer drinking; encouraging lighter drinking in work settings; increasing the role of  primary health care teams in the prevention and early detection of alcohol problems; using price policy to reduce demand; developing the roles of the social welfare system and the criminal justice system in the prevention and management of alcohol problems; developing specialized treatment for alcohol dependence and other alcohol problems; and addressing particular alcohol problems.

 

Switzerland 

Control of alcohol problems: There is a minimum legal age limit of 16 years for buying fermented beverages and an age limit of 18 years for buying distilled beverages. Since the mid-1980s the Federal Law prohibits advertising of spirits in or on places for public usage, sporting fields and events, events for young people and price lists, etc. The BAC limit is 0.08 g% for drivers. Random alcohol breath testing is not carried out. Penalties for driving above the permitted limit vary from canton to canton.

 

WHO Statistical Annex

 

The World Health Organization Statistical Annex referenced above reports that in 2002 in the African region (an area with a population of 838,720,000), there were a total of 249,142 traffic fatalities.They also report that there are 11 cars per 1,000 people, which is a total of 9,225,920 cars.This is 1 traffic fatality for every 37 cars and a traffic fatality rate per 100,000 cars of 2,700, making the average African driver 391 TIMES more dangerous than the average Swiss driver.

 


WHY Was the Sympatico Blog CENSORED?

 The original WHO report failed to take into account the number of vehicles per country and thus claimed that the Gaza Strip was one of the safest countries.  But once measured in deaths per vehicle, it turns out to be one of the most dangerous.

 

http://whqlibdoc.who.int/publications/2009/9789241563840_eng.pdf

Thanks for posting that much more accurate list than WHO�s list, arencee.
I had calculated it in deaths per 100,000 cars and gotten exactly the figures you quoted, confirming the accuracy of your calculations.
You might also add Kenya to the list who, with 11,037 deaths amongst only 546,000 cars, most likely ranks as the world�s most dangerous place, at least on their roads where there are 2,021 deaths per 100,000 cars.  In your notation, that works out to 1/50.
Why on Earth would WHO rank the West Bank/Gaza as one of the safest places to drive when a car there is 35 times as dangerous as one in Switzerland, almost three times as dangerous as one in Iraq, and equally as dangerous as one in Afghanistan?
 
 
Posted by: Arencee | 2009-08-21 4:30:13 PM

Ah yes, statistics� Deaths compared to registered vehicles tell a story more sigificant to me. Here are a few:

Deadliest

1 Eritrea 1/751
2 Cook Islands 1/1782
3 Eqypt 1/269
4 Jamahirya 1/854
5 Afghanistan 1/854
6 Iraq 1/1161
7 Niger 1/133
8 Angola 1/285
9 UAE 1/1661
10 Gambia 1/267


Safest

1 Marshall Isl 1/2487
2 San Marino 1/51590
3 Malta 1/25437
4 Uraguay 1/6566
5 Netherlands 1/11205
5 Singapore 1/3978
7 Switzerland 1/14476
7 West Bank 1/418
9 Norway 1/11158
9 Japan 1/13764

Misc 

Ethiopia 1/100
Canada 1/6945
China 1/1503
Thailand 1/2051
South Africa 1/573
India 1/688

Senegal 1/875
USA 1/5896
Germany 1/11217 

Saudi Arabia 1/1163

Central African Republic 1/10

Sao Tome 1/60

Spain 1/7661

Mexico 1/1468

 

Others of Interest

Iceland 1/9777

Poland 1/3230


Re-ordered


One Traffic Fatality per number of Vehicles


Deadliest

1 Central African Republic 1/10
2 Sao Tome 1/60
3 Ethiopia 1/100
4 Niger 1/133
5 Gambia 1/267
6 Egypt 1/269
7 Angola 1/285
8 Kenya 1/288
9 West Bank 1/418
10 South Africa 1/573

Safest

1 San Marino 1/51590
2 Malta 1/25437
3 Switzerland 1/14476
4 Japan 1/13764
5 Finland 12253
6 Germany 1/11217
7 Netherlands 1/11205
8 Norway 1/11158
9 Sweden 1/8983
10 Spain 1/7661
11 Italy 1/7632

Misc

USA 1/5896
Canada 1/6945


Uruguay 1/6566
Singapore 1/3978
Marshall Isl 1/2487
Thailand 1/2051
China 1/1503
Mexico 1/1468
Saudi Arabia 1/1163
Iraq 1/1161
UAE 1/1661
Jamahirya 1/854
Afghanistan 1/854
Cook Islands 1/1782
Eritrea 1/751
India 1/688

 

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