[OC] Plot of current Olympic Medal Counts normalized by Country Population shows how huge it is for Dominica to win a gold medal

10 comments

1. Sources: Medal counts sourced from Google Population data gathered and plotting done by ChatGPT

   Data:

   Country,Population (millions),Gold,Silver,Bronze,Total,Gold per Million,Silver per Million,Bronze per Million,Total per Million 48,Dominica,0.07,1,0,0,1,14.285714285714285,0.0,0.0,14.285714285714285 36,Saint Lucia,0.18,1,1,0,2,5.555555555555555,5.555555555555555,0.0,11.11111111111111 62,Fiji,0.88,0,0,3,3,0.0,0.0,3.409090909090909,3.409090909090909 61,Cyprus,1.2,0,0,3,3,0.0,0.0,2.5,2.5 12,New Zealand,5.0,3,6,1,10,0.6,1.2,0.2,2.0 71,Cape Verde,0.5,0,0,1,1,0.0,0.0,2.0,2.0 49,Slovenia,2.1,0,3,1,4,0.0,1.4285714285714286,0.47619047619047616,1.9047619047619047 50,Jamaica,3.0,0,2,3,5,0.0,0.6666666666666666,1.0,1.6666666666666667 19,Croatia,4.0,2,1,3,6,0.5,0.25,0.75,1.5 2,Australia,26.0,17,12,10,39,0.6538461538461539,0.46153846153846156,0.38461538461538464,1.5 11,Ireland,5.0,4,0,3,7,0.8,0.0,0.6,1.4 8,Netherlands,17.0,9,5,6,20,0.5294117647058824,0.29411764705882354,0.35294117647058826,1.1764705882352942 28,Georgia,4.0,1,2,1,4,0.25,0.5,0.25,1.0 52,Armenia,3.0,0,2,1,3,0.0,0.6666666666666666,0.3333333333333333,1.0 13,Hungary,9.0,3,3,2,8,0.3333333333333333,0.3333333333333333,0.2222222222222222,0.8888888888888888 26,Switzerland,8.5,1,2,4,7,0.11764705882352941,0.23529411764705882,0.47058823529411764,0.8235294117647058 14,Sweden,10.0,3,3,2,8,0.3,0.3,0.2,0.8 3,France,67.0,13,16,20,49,0.19402985074626866,0.23880597014925373,0.29850746268656714,0.7313432835820896 4,Great Britain,67.0,12,16,20,48,0.1791044776119403,0.23880597014925373,0.29850746268656714,0.7164179104477612 25,Israel,9.0,1,4,1,6,0.1111111111111111,0.4444444444444444,0.1111111111111111,0.6666666666666666 30,Greece,11.0,1,1,5,7,0.09090909090909091,0.09090909090909091,0.45454545454545453,0.6363636363636364 63,Mongolia,3.3,0,0,2,2,0.0,0.0,0.6060606060606061,0.6060606060606061 47,Bahrain,1.7,1,0,0,1,0.5882352941176471,0.0,0.0,0.5882352941176471 58,Kosovo,1.8,0,1,0,1,0.0,0.5555555555555556,0.0,0.5555555555555556 21,”Hong Kong, China”,7.5,2,0,2,4,0.26666666666666666,0.0,0.26666666666666666,0.5333333333333333 6,South Korea,52.0,11,8,7,26,0.21153846153846154,0.15384615384615385,0.1346153846153846,0.5 29,Denmark,6.0,1,2,0,3,0.16666666666666666,0.3333333333333333,0.0,0.5 10,Canada,38.0,6,4,8,18,0.15789473684210525,0.10526315789473684,0.21052631578947367,0.47368421052631576 20,Belgium,11.0,2,0,3,5,0.18181818181818182,0.0,0.2727272727272727,0.45454545454545453 7,Italy,60.0,9,10,8,27,0.15,0.16666666666666666,0.13333333333333333,0.45 69,Republic of Moldova,2.6,0,0,1,1,0.0,0.0,0.3846153846153846,0.3846153846153846 15,Romania,19.0,3,3,1,7,0.15789473684210525,0.15789473684210525,0.05263157894736842,0.3684210526315789 67,Lithuania,2.8,0,0,1,1,0.0,0.0,0.35714285714285715,0.35714285714285715 27,Kazakhstan,19.0,1,2,3,6,0.05263157894736842,0.10526315789473684,0.15789473684210525,0.3157894736842105 24,Serbia,7.0,2,0,0,2,0.2857142857142857,0.0,0.0,0.2857142857142857 56,Kyrgyzstan,7.0,0,1,1,2,0.0,0.14285714285714285,0.14285714285714285,0.2857142857142857 39,Cuba,11.0,1,0,2,3,0.09090909090909091,0.0,0.18181818181818182,0.2727272727272727 0,United States,331.0,25,33,32,90,0.0755287009063444,0.09969788519637462,0.09667673716012085,0.2719033232628399 5,Japan,126.0,12,6,12,30,0.09523809523809523,0.047619047619047616,0.09523809523809523,0.23809523809523808 17,Spain,47.0,2,3,6,11,0.0425531914893617,0.06382978723404255,0.1276595744680851,0.23404255319148937 65,Tajikistan,9.0,0,0,2,2,0.0,0.0,0.2222222222222222,0.2222222222222222 38,Chinese Taipei,23.5,1,0,4,5,0.0425531914893617,0.0,0.1702127659574468,0.2127659574468085 9,Germany,83.0,8,5,4,17,0.0963855421686747,0.060240963855421686,0.04819277108433735,0.20481927710843373 23,Azerbaijan,10.0,2,0,0,2,0.2,0.0,0.0,0.2 44,Norway,5.0,1,0,0,1,0.2,0.0,0.0,0.2 66,Dominican Republic,11.0,0,0,2,2,0.0,0.0,0.18181818181818182,0.18181818181818182 42,Czechia,11.0,1,0,1,2,0.09090909090909091,0.0,0.09090909090909091,0.18181818181818182 18,Ukraine,44.0,2,2,3,7,0.045454545454545456,0.045454545454545456,0.06818181818181818,0.1590909090909091 31,Poland,38.0,1,1,4,6,0.02631578947368421,0.02631578947368421,0.10526315789473684,0.15789473684210525 35,Ecuador,17.0,1,1,0,2,0.058823529411764705,0.058823529411764705,0.0,0.11764705882352941 43,Guatemala,17.0,1,0,1,2,0.058823529411764705,0.0,0.058823529411764705,0.11764705882352941 51,North Korea,26.0,0,2,1,3,0.0,0.07692307692307693,0.038461538461538464,0.11538461538461539 70,Austria,9.0,0,0,1,1,0.0,0.0,0.1111111111111111,0.1111111111111111 34,Chile,19.0,1,1,0,2,0.05263157894736842,0.05263157894736842,0.0,0.10526315789473684 59,Tunisia,12.0,0,1,0,1,0.0,0.08333333333333333,0.0,0.08333333333333333 32,Kenya,54.0,1,1,2,4,0.018518518518518517,0.018518518518518517,0.037037037037037035,0.07407407407407407 33,South Africa,60.0,1,1,2,4,0.016666666666666666,0.016666666666666666,0.03333333333333333,0.06666666666666667 16,Brazil,213.0,2,5,7,14,0.009389671361502348,0.023474178403755867,0.03286384976525822,0.06572769953051644 41,Uzbekistan,34.0,1,0,1,2,0.029411764705882353,0.0,0.029411764705882353,0.058823529411764705 54,Thailand,70.0,0,1,3,4,0.0,0.014285714285714285,0.04285714285714286,0.05714285714285714 37,Uganda,45.0,1,1,0,2,0.022222222222222223,0.022222222222222223,0.0,0.044444444444444446 1,China,1441.0,24,22,16,62,0.016655100624566273,0.015267175572519083,0.011103400416377515,0.04302567661346287 40,Iran,84.0,1,0,2,3,0.011904761904761904,0.0,0.023809523809523808,0.03571428571428571 68,Malaysia,33.0,0,0,1,1,0.0,0.0,0.030303030303030304,0.030303030303030304 22,Philippines,109.0,2,0,1,3,0.01834862385321101,0.0,0.009174311926605505,0.027522935779816515 55,Ethiopia,115.0,0,1,2,3,0.0,0.008695652173913044,0.017391304347826087,0.02608695652173913 46,Argentina,45.0,1,0,0,1,0.022222222222222223,0.0,0.0,0.022222222222222223 45,Algeria,45.0,1,0,0,1,0.022222222222222223,0.0,0.0,0.022222222222222223 60,Colombia,50.0,0,1,0,1,0.0,0.02,0.0,0.02 53,Mexico,128.0,0,2,0,2,0.0,0.015625,0.0,0.015625 57,Türkiye,85.0,0,1,0,1,0.0,0.011764705882352941,0.0,0.011764705882352941 72,Egypt,102.0,0,0,1,1,0.0,0.0,0.00980392156862745,0.00980392156862745 64,India,1420.0,0,0,3,3,0.0,0.0,0.002112676056338028,0.002112676056338028

2. Yeah… This only shows that statistics sometimes are not that meaningful…

   The country with most reported crimes is Vatican. They have something 7-800 people and some 1000 crimes reported.

   So per capita they have most crimes.

   The country with most Nobel winners per capita is Iceland… They have 350k people and 1 Nobel winner…

3. Even crazier if you do 2020(1) with the tear that San Marino went on.

4. Your stats are wrong. Slovenia only has 1 gold medal and no silver and bronze.

5. This displays perfectly the absurdity of the “medals per capita” cope.

6. It’d be interesting to also make one normalized based on $ spent!

7. She’s lives in Maryland. She doesn’t even count to her countries population so this is awkward.

8. I think the medals per capita idea’s failing is in the limitations that are placed on the larger population countries. Only three people per country are allowed to enter per event for most events. This prevents large population countries from just out numbering other countries in certain events. There are also lots of events where each country just gets one team.

9. Good thing they don’t count gold medals like this

10. Can anyone tell me what the black circles on the chart represent? There’s one over France, Great Britain, China etc. TIA