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1. Shard Calculation

Query:

Response:

Calculated Shard: 111 (from laksa167)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa111.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
  -d 'SELECT getAhrefsURLFromUnparsed(src_unparsed) AS found_url, ifNull(toUnixTimestamp(download_stamp), 0) AS crawl_time, ifNull(toUnixTimestamp(props_url_first_seen), 0) AS first_indexed_time, download_http_code AS http_code, src_unparsed AS src_unparsed, src_root_hash AS src_root_hash, history_drop_reason AS history_drop_reason, meta_title AS meta_title, meta_descriptions AS meta_descriptions, attrs_boilerpipe_text AS attrs_boilerpipe_text, attrs_markdown AS attrs_markdown, attrs_readable_markdown AS attrs_readable_markdown, meta_canonical AS meta_canonical FROM crawler3.page_info_local FINAL PREWHERE (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://dqydj.com/won-2016-rio-olympics/\')), getAhrefsUnparsedNoserviceFromURL(\'https://dqydj.com/won-2016-rio-olympics/\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/dqydj.com\/won-2016-rio-olympics\/","crawl_time":1775530916,"first_indexed_time":1472577023,"http_code":200,"src_unparsed":"com,dqydj!\/won-2016-rio-olympics\/ s443","src_root_hash":"2286362512366833111","history_drop_reason":null,"meta_title":"Who Won the 2016 Rio Olympics?","meta_descriptions":[],"attrs_boilerpipe_text":"August 22nd, 2020 by \nPK\nEvery time an Olympics wraps up, we've got a silly tradition here on DQYDJ where we calculate some of the more dubious\nadjusted medal counts\nproposed to 'level' out the successes of various countries.\nThere is\nsome\nvalue with taking a shot(put?) at this - a proper adjustment would be great, and we're not going to\nNirvana Fallacy\nall over the concept of adjustment in general.  It's just that while the\naim\nis noble,\nin practice\nadjusting isn't a good idea because the United States (for example) can't send 30 gymnasts or 10 basketball teams to the games.\nThat's enough disclaimer.  Let's look at the first presentation and the only official statistic... the actual medal count (\ncourtesy of Wikipedia)\n:\nAll countries with\n15 or more\ntotal medals in the 2016 Rio Olympic Games (Wikipedia).  By this count, the United States was the winner.\nOnto the Other Olympic Success Measures: Medals vs. GDP and Medals vs. Population\nHowever dubious adjusting medal count for country GDPs and populations is, it's still a fun diversion.\nSports inspire arguments - it's the very nature of sports, and far superior to other methods of resolving conflict between countries.  The truth is, even though these adjusted measures are biased against very rich or very populous countries for the aforementioned reasons, they do tend to reveal countries which are punching above their weight.\nThis year, by this author's calculations, that would be Jamaica, Azerbaijan, Georgia, and Croatia.  They outperform on measures of 'GDP dollars per medal' (the inverse of medals per dollar of GDP) and 'Population per Medal' (the inverse of medals per capita).\nDollars of GDP per Medal and Dollars of GDP per Gold\nOur first dubious statistic is our Dollars of GDP per Medal table.  We ran these numbers for all countries with 5 or more medals, and used Wikipedia's country\nnominal GDP table\n.  (All numbers are from the IMF's 2016 estimate column unless noted below.  Retrieved August, 2016.)\nCountry\nDollars of GDP per Medal\nDollars of GDP per Gold\n Jamaica (JAM)\n$1,277,909,090.91\n$2,342,833,333.33\n Azerbaijan (AZE)\n$1,952,277,777.78\n$35,141,000,000.00\n Georgia (GEO)\n$1,991,714,285.71\n$6,971,000,000.00\n North Korea (PRK)*\n$2,485,142,857.14\n$8,698,000,000.00\n Serbia (SRB)\n$4,672,625,000.00\n$18,690,500,000.00\n Uzbekistan (UZB)\n$4,742,230,769.23\n$15,412,250,000.00\n Kenya (KEN)\n$4,976,000,000.00\n$10,781,333,333.33\n Croatia (CRO)\n$4,992,800,000.00\n$9,985,600,000.00\n Belarus (BLR)\n$5,098,555,555.56\n$45,887,000,000.00\n Kazakhstan (KAZ)\n$6,832,411,764.71\n$38,717,000,000.00\n Cuba (CUB)*\n$7,013,636,363.64\n$15,430,000,000.00\n Ukraine (UKR)\n$7,595,454,545.45\n$41,775,000,000.00\n Hungary (HUN)\n$7,848,600,000.00\n$14,716,125,000.00\n Ethiopia (ETH)\n$8,429,375,000.00\n$67,435,000,000.00\n New Zealand (NZL)\n$9,440,111,111.11\n$42,480,500,000.00\n Czech Republic (CZE)\n$18,526,900,000.00\n$185,269,000,000.00\n Denmark (DEN)\n$20,118,933,333.33\n$150,892,000,000.00\n Russia (RUS)\n$20,227,500,000.00\n$59,617,894,736.84\n South Africa (RSA)\n$26,621,300,000.00\n$133,106,500,000.00\n Colombia (COL)\n$31,655,000,000.00\n$84,413,333,333.33\n Greece (GRE)\n$32,432,333,333.33\n$64,864,666,666.67\n Romania (ROU)\n$36,388,800,000.00\n$181,944,000,000.00\n Netherlands (NED)\n$40,132,684,210.53\n$95,315,125,000.00\n Great Britain (GBR)*\n$41,208,358,208.96\n$102,257,777,777.78\n Australia (AUS)\n$41,406,206,896.55\n$150,097,500,000.00\n Poland (POL)\n$43,045,545,454.55\n$236,750,500,000.00\n Sweden (SWE)\n$46,613,454,545.45\n$256,374,000,000.00\n Iran (IRI)\n$48,265,000,000.00\n$128,706,666,666.67\n France (FRA)\n$58,685,476,190.48\n$246,479,000,000.00\n Malaysia (MAS)\n$61,852,400,000.00\n$0.00\n South Korea (KOR)\n$62,914,285,714.29\n$146,800,000,000.00\n Italy (ITA)\n$66,024,642,857.14\n$231,086,250,000.00\n Canada (CAN)\n$66,469,545,454.55\n$365,582,500,000.00\n Thailand (THA)\n$68,287,333,333.33\n$204,862,000,000.00\n Spain (ESP)\n$73,080,000,000.00\n$177,480,000,000.00\n Belgium (BEL)\n$77,541,333,333.33\n$232,624,000,000.00\n Brazil (BRA)\n$80,777,894,736.84\n$219,254,285,714.29\n Germany (GER)\n$82,566,190,476.19\n$203,987,058,823.53\n Switzerland (SUI)\n$93,110,000,000.00\n$217,256,666,666.67\n Turkey (TUR)\n$93,898,250,000.00\n$751,186,000,000.00\n Japan (JPN)\n$107,624,390,243.90\n$367,716,666,666.67\n United States (USA)\n$148,322,280,991.74\n$390,152,086,956.52\n China (CHN)\n$155,234,914,285.72\n$417,940,153,846.15\n Mexico (MEX)\n$216,486,000,000.00\n$0.00\nCuba - estimate from the World Bank for 2013\nGreat Britain - uses the United Kingdom's number\nNorth Korea - estimate from the UN for 2014\nPeople Per Medal and People Per Gold\nOur second dubious statistic is the\npeople per medal\ntable.  The populations were taken from Wikipedia's\ncountry by population\narticle, with estimates from the United Nations in 2016 (Retrieved August 2016).\nCounty\nPeople per Medal\nPeople per Gold\n Jamaica (JAM)\n247,568\n453,874\n New Zealand (NZL)\n261,564\n1,177,040\n Denmark (DEN)\n381,630\n2,862,228\n Croatia (CRO)\n419,067\n838,134\n Georgia (GEO)\n531,486\n1,860,200\n Azerbaijan (AZE)\n541,972\n9,755,500\n Hungary (HUN)\n654,867\n1,227,875\n Australia (AUS)\n833,303\n3,020,725\n Serbia (SRB)\n884,547\n3,538,186\n Netherlands (NED)\n891,937\n2,118,350\n Sweden (SWE)\n900,576\n4,953,166\n Great Britain (GBR)*\n971,791\n2,411,481\n Cuba (CUB)\n1,021,728\n2,247,801\n Kazakhstan (KAZ)\n1,044,306\n5,917,733\n Belarus (BLR)\n1,055,411\n9,498,700\n Czech Republic (CZE)\n1,055,852\n10,558,524\n Switzerland (SUI)\n1,191,657\n2,780,533\n France (FRA)\n1,538,452\n6,461,500\n Canada (CAN)\n1,659,123\n9,125,175\n Greece (GRE)\n1,809,670\n3,619,339\n Belgium (BEL)\n1,887,112\n5,661,337\n Germany (GER)\n1,946,926\n4,810,053\n Italy (ITA)\n2,166,627\n7,583,194\n South Korea (KOR)\n2,419,115\n5,644,601\n Uzbekistan (UZB)\n2,428,869\n7,893,825\n Russia (RUS)\n2,618,571\n7,717,895\n United States (USA)\n2,680,124\n7,049,891\n Spain (ESP)\n2,731,672\n6,634,060\n Japan (JPN)\n3,097,561\n10,583,333\n Kenya (KEN)\n3,396,660\n7,359,430\n North Korea (PRK)\n3,459,073\n12,106,755\n Poland (POL)\n3,494,294\n19,218,620\n Ukraine (UKR)\n3,878,014\n21,329,075\n Romania (ROU)\n3,972,200\n19,861,000\n South Africa (RSA)\n5,565,365\n27,826,827\n Colombia (COL)\n6,100,338\n16,267,567\n Malaysia (MAS)\n6,345,460\n0\n Turkey (TUR)\n9,842,750\n78,742,000\n Iran (IRI)\n9,934,738\n26,492,633\n Brazil (BRA)\n10,870,684\n29,506,143\n Thailand (THA)\n10,954,850\n32,864,549\n Ethiopia (ETH)\n12,731,625\n101,853,000\n China (CHN)\n19,690,429\n53,012,692\n Mexico (MEX)\n25,726,400\n0\nGreat Britain - uses the United Kingdom's number\nAdjusting Olympic Medal Counts\nThese methods obviously aren't the best in the world, but they\ndo\nreveal some of the 'underdogs' once you allow a little editorializing.\nTo most people watching the games,\nJamaica\nis an obvious choice for the hidden winner.  Beyond Usain Bolt's 3 gold medals (including in the 4x100), there were\n8 other medals\nwon by the small country... including 3 other golds.  Jamaica is at the top of\nboth\nof the adjusted lists, so some value is confirmed - and we can argue about the rest of the countries.\nThe USA has 3x as many Olympic golds as Hungary, but 30x the population. Adjusting for this, Hungary is kicking our ass.\n— Neil deGrasse Tyson (@neiltyson)\nAugust 12, 2016\nIs there a perfect adjustment possible? \nOf course not\n- it would be impossible to perfectly level the advantages and disadvantages of every nation for summer and winter games.\nIf there\nwas\na measure, it'd probably take geographic constraints (perhaps, degrees of latitude?) into consideration too,\nespecially\nfor the winter games.  Consider the sheer amount of land Russia, Canada and the United States claim that get \"real\" winters.\nNow\nconsider that the most famous Olympic movie of all time is about, of course,\nJamaica's underdog bobsled team\n.  People love to watch an underdog, and it makes logical sense that geographic constraints mean small island nations near the equator shouldn't compete too strongly with countries that have land in the arctic circle at any particular Winter Olympics.\nRegardless of the weaknesses of any individual adjustment, we'll always have arguments - so argue in the comments!\nWhat's the best way to adjust the medal count, and where does your favorite country rank?  Anyone from Jamaica  or elsewhere want to make a stronger case for Jamaica winning the 2016 Rio Games?\nPK\nPK started DQYDJ in 2009 to research and discuss finance and investing and help answer financial questions. He's expanded DQYDJ to build visualizations, calculators, and interactive tools.\nPK lives in New Hampshire with his wife, kids, and dog.","attrs_markdown":"[![DQYDJ Logo](data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==)![DQYDJ Logo](https:\/\/cdn.dqydj.com\/wp-content\/uploads\/2016\/05\/dqydjlogo-e1462550358451.png)](https:\/\/dqydj.com\/)\n\n- [Investing](https:\/\/dqydj.com\/investing\/)\n- [Net Worth](https:\/\/dqydj.com\/net-worth\/)\n- [Income](https:\/\/dqydj.com\/income\/)\n- [Health](https:\/\/dqydj.com\/health\/)\n- [Personal Finance](https:\/\/dqydj.com\/personal-finance\/)\n- [Real Estate](https:\/\/dqydj.com\/real-estate\/)\n- [Economics](https:\/\/dqydj.com\/economics\/)\n- [Calculators](https:\/\/dqydj.com\/calculators\/)\n\n- [Investing](https:\/\/dqydj.com\/investing\/)\n- [Net Worth](https:\/\/dqydj.com\/net-worth\/)\n- [Income](https:\/\/dqydj.com\/income\/)\n- [Health](https:\/\/dqydj.com\/health\/)\n- [Personal Finance](https:\/\/dqydj.com\/personal-finance\/)\n- [Real Estate](https:\/\/dqydj.com\/real-estate\/)\n- [Economics](https:\/\/dqydj.com\/economics\/)\n- [Calculators](https:\/\/dqydj.com\/calculators\/)\n\n[![DQYDJ Logo](data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==)![DQYDJ Logo](https:\/\/cdn.dqydj.com\/wp-content\/uploads\/2016\/05\/dqydjlogo-e1462550358451.png)](https:\/\/dqydj.com\/)\n\n# Who Won the 2016 Rio Olympics?\n[Offbeat](https:\/\/dqydj.com\/offbeat\/)\n\nAugust 22nd, 2020 by\n\nPK\n\nEvery time an Olympics wraps up, we've got a silly tradition here on DQYDJ where we calculate some of the more dubious *adjusted medal counts* proposed to 'level' out the successes of various countries.\n\nThere is *some* value with taking a shot(put?) at this - a proper adjustment would be great, and we're not going to [*Nirvana Fallacy*](https:\/\/en.wikipedia.org\/wiki\/Nirvana_fallacy) all over the concept of adjustment in general. It's just that while the ***aim*** is noble, ***in practice*** adjusting isn't a good idea because the United States (for example) can't send 30 gymnasts or 10 basketball teams to the games.\n\nThat's enough disclaimer. Let's look at the first presentation and the only official statistic... the actual medal count ([courtesy of Wikipedia)](https:\/\/en.wikipedia.org\/wiki\/2016_Summer_Olympics_medal_table):\n\n[![Who won the 2016 Rio Olympics?](data:image\/png;base64,iVBORw0KGgoAAAANSUhEUgAAAp8AAAIeAQMAAADHyvY2AAAABlBMVEUAAAD\/\/\/+l2Z\/dAAAAAXRSTlMAQObYZgAAAAlwSFlzAAAOxAAADsQBlSsOGwAAAERJREFUeNrtwTEBAAAAwqD1T20ND6AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAODNALP2AAENvVrhAAAAAElFTkSuQmCC)![Who won the 2016 Rio Olympics?](https:\/\/cdn.dqydj.com\/wp-content\/uploads\/2016\/08\/olympic_medal_count_15_over.png)](https:\/\/cdn.dqydj.com\/wp-content\/uploads\/2016\/08\/olympic_medal_count_15_over.png)\n\nAll countries with ***15 or more*** total medals in the 2016 Rio Olympic Games (Wikipedia). By this count, the United States was the winner.\n## Onto the Other Olympic Success Measures: Medals vs. GDP and Medals vs. Population\nHowever dubious adjusting medal count for country GDPs and populations is, it's still a fun diversion.\n\nSports inspire arguments - it's the very nature of sports, and far superior to other methods of resolving conflict between countries. The truth is, even though these adjusted measures are biased against very rich or very populous countries for the aforementioned reasons, they do tend to reveal countries which are punching above their weight.\n\nThis year, by this author's calculations, that would be Jamaica, Azerbaijan, Georgia, and Croatia. They outperform on measures of 'GDP dollars per medal' (the inverse of medals per dollar of GDP) and 'Population per Medal' (the inverse of medals per capita).\n\n#### Dollars of GDP per Medal and Dollars of GDP per Gold\nOur first dubious statistic is our Dollars of GDP per Medal table. We ran these numbers for all countries with 5 or more medals, and used Wikipedia's country [nominal GDP table](https:\/\/en.wikipedia.org\/wiki\/List_of_countries_by_GDP_\$nominal\$). (All numbers are from the IMF's 2016 estimate column unless noted below. Retrieved August, 2016.)\n\n|   |   |   |\n|---|---|---|\n| **Country** | **Dollars of GDP per Medal** | **Dollars of GDP per Gold** |\n| ***Jamaica (JAM)*** | \\$1,277,909,090.91 | \\$2,342,833,333.33 |\n| ***Azerbaijan (AZE)*** | \\$1,952,277,777.78 | \\$35,141,000,000.00 |\n| ***Georgia (GEO)*** | \\$1,991,714,285.71 | \\$6,971,000,000.00 |\n| ***North Korea (PRK)\\**** | \\$2,485,142,857.14 | \\$8,698,000,000.00 |\n| ***Serbia (SRB)*** | \\$4,672,625,000.00 | \\$18,690,500,000.00 |\n| ***Uzbekistan (UZB)*** | \\$4,742,230,769.23 | \\$15,412,250,000.00 |\n| ***Kenya (KEN)*** | \\$4,976,000,000.00 | \\$10,781,333,333.33 |\n| ***Croatia (CRO)*** | \\$4,992,800,000.00 | \\$9,985,600,000.00 |\n| ***Belarus (BLR)*** | \\$5,098,555,555.56 | \\$45,887,000,000.00 |\n| ***Kazakhstan (KAZ)*** | \\$6,832,411,764.71 | \\$38,717,000,000.00 |\n| ***Cuba (CUB)\\**** | \\$7,013,636,363.64 | \\$15,430,000,000.00 |\n| ***Ukraine (UKR)*** | \\$7,595,454,545.45 | \\$41,775,000,000.00 |\n| ***Hungary (HUN)*** | \\$7,848,600,000.00 | \\$14,716,125,000.00 |\n| ***Ethiopia (ETH)*** | \\$8,429,375,000.00 | \\$67,435,000,000.00 |\n| ***New Zealand (NZL)*** | \\$9,440,111,111.11 | \\$42,480,500,000.00 |\n| ***Czech Republic (CZE)*** | \\$18,526,900,000.00 | \\$185,269,000,000.00 |\n| ***Denmark (DEN)*** | \\$20,118,933,333.33 | \\$150,892,000,000.00 |\n| ***Russia (RUS)*** | \\$20,227,500,000.00 | \\$59,617,894,736.84 |\n| ***South Africa (RSA)*** | \\$26,621,300,000.00 | \\$133,106,500,000.00 |\n| ***Colombia (COL)*** | \\$31,655,000,000.00 | \\$84,413,333,333.33 |\n| ***Greece (GRE)*** | \\$32,432,333,333.33 | \\$64,864,666,666.67 |\n| ***Romania (ROU)*** | \\$36,388,800,000.00 | \\$181,944,000,000.00 |\n| ***Netherlands (NED)*** | \\$40,132,684,210.53 | \\$95,315,125,000.00 |\n| ***Great Britain (GBR)\\**** | \\$41,208,358,208.96 | \\$102,257,777,777.78 |\n| ***Australia (AUS)*** | \\$41,406,206,896.55 | \\$150,097,500,000.00 |\n| ***Poland (POL)*** | \\$43,045,545,454.55 | \\$236,750,500,000.00 |\n| ***Sweden (SWE)*** | \\$46,613,454,545.45 | \\$256,374,000,000.00 |\n| ***Iran (IRI)*** | \\$48,265,000,000.00 | \\$128,706,666,666.67 |\n| ***France (FRA)*** | \\$58,685,476,190.48 | \\$246,479,000,000.00 |\n| ***Malaysia (MAS)*** | \\$61,852,400,000.00 | \\$0.00 |\n| ***South Korea (KOR)*** | \\$62,914,285,714.29 | \\$146,800,000,000.00 |\n| ***Italy (ITA)*** | \\$66,024,642,857.14 | \\$231,086,250,000.00 |\n| ***Canada (CAN)*** | \\$66,469,545,454.55 | \\$365,582,500,000.00 |\n| ***Thailand (THA)*** | \\$68,287,333,333.33 | \\$204,862,000,000.00 |\n| ***Spain (ESP)*** | \\$73,080,000,000.00 | \\$177,480,000,000.00 |\n| ***Belgium (BEL)*** | \\$77,541,333,333.33 | \\$232,624,000,000.00 |\n| ***Brazil (BRA)*** | \\$80,777,894,736.84 | \\$219,254,285,714.29 |\n| ***Germany (GER)*** | \\$82,566,190,476.19 | \\$203,987,058,823.53 |\n| ***Switzerland (SUI)*** | \\$93,110,000,000.00 | \\$217,256,666,666.67 |\n| ***Turkey (TUR)*** | \\$93,898,250,000.00 | \\$751,186,000,000.00 |\n| ***Japan (JPN)*** | \\$107,624,390,243.90 | \\$367,716,666,666.67 |\n| ***United States (USA)*** | \\$148,322,280,991.74 | \\$390,152,086,956.52 |\n| ***China (CHN)*** | \\$155,234,914,285.72 | \\$417,940,153,846.15 |\n| ***Mexico (MEX)*** | \\$216,486,000,000.00 | \\$0.00 |\n\n- Cuba - estimate from the World Bank for 2013\n- Great Britain - uses the United Kingdom's number\n- North Korea - estimate from the UN for 2014\n#### People Per Medal and People Per Gold\nOur second dubious statistic is the *people per medal* table. The populations were taken from Wikipedia's [country by population](https:\/\/en.wikipedia.org\/wiki\/List_of_countries_by_population_\$United_Nations\$) article, with estimates from the United Nations in 2016 (Retrieved August 2016).\n\n|   |   |   |\n|---|---|---|\n| **County** | **People per Medal** | **People per Gold** |\n| ***Jamaica (JAM)*** | 247,568 | 453,874 |\n| ***New Zealand (NZL)*** | 261,564 | 1,177,040 |\n| ***Denmark (DEN)*** | 381,630 | 2,862,228 |\n| ***Croatia (CRO)*** | 419,067 | 838,134 |\n| ***Georgia (GEO)*** | 531,486 | 1,860,200 |\n| ***Azerbaijan (AZE)*** | 541,972 | 9,755,500 |\n| ***Hungary (HUN)*** | 654,867 | 1,227,875 |\n| ***Australia (AUS)*** | 833,303 | 3,020,725 |\n| ***Serbia (SRB)*** | 884,547 | 3,538,186 |\n| ***Netherlands (NED)*** | 891,937 | 2,118,350 |\n| ***Sweden (SWE)*** | 900,576 | 4,953,166 |\n| ***Great Britain (GBR)\\**** | 971,791 | 2,411,481 |\n| ***Cuba (CUB)*** | 1,021,728 | 2,247,801 |\n| ***Kazakhstan (KAZ)*** | 1,044,306 | 5,917,733 |\n| ***Belarus (BLR)*** | 1,055,411 | 9,498,700 |\n| ***Czech Republic (CZE)*** | 1,055,852 | 10,558,524 |\n| ***Switzerland (SUI)*** | 1,191,657 | 2,780,533 |\n| ***France (FRA)*** | 1,538,452 | 6,461,500 |\n| ***Canada (CAN)*** | 1,659,123 | 9,125,175 |\n| ***Greece (GRE)*** | 1,809,670 | 3,619,339 |\n| ***Belgium (BEL)*** | 1,887,112 | 5,661,337 |\n| ***Germany (GER)*** | 1,946,926 | 4,810,053 |\n| ***Italy (ITA)*** | 2,166,627 | 7,583,194 |\n| ***South Korea (KOR)*** | 2,419,115 | 5,644,601 |\n| ***Uzbekistan (UZB)*** | 2,428,869 | 7,893,825 |\n| ***Russia (RUS)*** | 2,618,571 | 7,717,895 |\n| ***United States (USA)*** | 2,680,124 | 7,049,891 |\n| ***Spain (ESP)*** | 2,731,672 | 6,634,060 |\n| ***Japan (JPN)*** | 3,097,561 | 10,583,333 |\n| ***Kenya (KEN)*** | 3,396,660 | 7,359,430 |\n| ***North Korea (PRK)*** | 3,459,073 | 12,106,755 |\n| ***Poland (POL)*** | 3,494,294 | 19,218,620 |\n| ***Ukraine (UKR)*** | 3,878,014 | 21,329,075 |\n| ***Romania (ROU)*** | 3,972,200 | 19,861,000 |\n| ***South Africa (RSA)*** | 5,565,365 | 27,826,827 |\n| ***Colombia (COL)*** | 6,100,338 | 16,267,567 |\n| ***Malaysia (MAS)*** | 6,345,460 | 0 |\n| ***Turkey (TUR)*** | 9,842,750 | 78,742,000 |\n| ***Iran (IRI)*** | 9,934,738 | 26,492,633 |\n| ***Brazil (BRA)*** | 10,870,684 | 29,506,143 |\n| ***Thailand (THA)*** | 10,954,850 | 32,864,549 |\n| ***Ethiopia (ETH)*** | 12,731,625 | 101,853,000 |\n| ***China (CHN)*** | 19,690,429 | 53,012,692 |\n| ***Mexico (MEX)*** | 25,726,400 | 0 |\n\n- Great Britain - uses the United Kingdom's number\n## Adjusting Olympic Medal Counts\nThese methods obviously aren't the best in the world, but they do reveal some of the 'underdogs' once you allow a little editorializing.\n\nTo most people watching the games, **Jamaica** is an obvious choice for the hidden winner. Beyond Usain Bolt's 3 gold medals (including in the 4x100), there were *8 other medals* won by the small country... including 3 other golds. Jamaica is at the top of ***both*** of the adjusted lists, so some value is confirmed - and we can argue about the rest of the countries.\n\n> The USA has 3x as many Olympic golds as Hungary, but 30x the population. Adjusting for this, Hungary is kicking our ass.\n> \n> — Neil deGrasse Tyson (@neiltyson) [August 12, 2016](https:\/\/twitter.com\/neiltyson\/status\/764108960525799425)\n\n*Is there a perfect adjustment possible?*\n\n**Of course not** - it would be impossible to perfectly level the advantages and disadvantages of every nation for summer and winter games.\n\nIf there ***was*** a measure, it'd probably take geographic constraints (perhaps, degrees of latitude?) into consideration too, especially for the winter games. Consider the sheer amount of land Russia, Canada and the United States claim that get \"real\" winters.\n\n**Now** consider that the most famous Olympic movie of all time is about, of course, [Jamaica's underdog bobsled team](http:\/\/www.imdb.com\/title\/tt0106611\/). People love to watch an underdog, and it makes logical sense that geographic constraints mean small island nations near the equator shouldn't compete too strongly with countries that have land in the arctic circle at any particular Winter Olympics.\n\nRegardless of the weaknesses of any individual adjustment, we'll always have arguments - so argue in the comments\\!\n\n*What's the best way to adjust the medal count, and where does your favorite country rank? 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There is *some* value with taking a shot(put?) at this - a proper adjustment would be great, and we're not going to [*Nirvana Fallacy*](https:\/\/en.wikipedia.org\/wiki\/Nirvana_fallacy) all over the concept of adjustment in general. It's just that while the ***aim*** is noble, ***in practice*** adjusting isn't a good idea because the United States (for example) can't send 30 gymnasts or 10 basketball teams to the games. That's enough disclaimer. Let's look at the first presentation and the only official statistic... the actual medal count ([courtesy of Wikipedia)](https:\/\/en.wikipedia.org\/wiki\/2016_Summer_Olympics_medal_table): [![Who won the 2016 Rio Olympics?](https:\/\/cdn.dqydj.com\/wp-content\/uploads\/2016\/08\/olympic_medal_count_15_over.png)](https:\/\/cdn.dqydj.com\/wp-content\/uploads\/2016\/08\/olympic_medal_count_15_over.png) All countries with ***15 or more*** total medals in the 2016 Rio Olympic Games (Wikipedia). By this count, the United States was the winner. Onto the Other Olympic Success Measures: Medals vs. GDP and Medals vs. Population However dubious adjusting medal count for country GDPs and populations is, it's still a fun diversion. Sports inspire arguments - it's the very nature of sports, and far superior to other methods of resolving conflict between countries. The truth is, even though these adjusted measures are biased against very rich or very populous countries for the aforementioned reasons, they do tend to reveal countries which are punching above their weight. This year, by this author's calculations, that would be Jamaica, Azerbaijan, Georgia, and Croatia. They outperform on measures of 'GDP dollars per medal' (the inverse of medals per dollar of GDP) and 'Population per Medal' (the inverse of medals per capita). Dollars of GDP per Medal and Dollars of GDP per Gold Our first dubious statistic is our Dollars of GDP per Medal table. We ran these numbers for all countries with 5 or more medals, and used Wikipedia's country [nominal GDP table](https:\/\/en.wikipedia.org\/wiki\/List_of_countries_by_GDP_\$nominal\$). (All numbers are from the IMF's 2016 estimate column unless noted below. Retrieved August, 2016.)       **Country** **Dollars of GDP per Medal** **Dollars of GDP per Gold** ***Jamaica (JAM)*** \\$1,277,909,090.91 \\$2,342,833,333.33 ***Azerbaijan (AZE)*** \\$1,952,277,777.78 \\$35,141,000,000.00 ***Georgia (GEO)*** \\$1,991,714,285.71 \\$6,971,000,000.00 ***North Korea (PRK)\\**** \\$2,485,142,857.14 \\$8,698,000,000.00 ***Serbia (SRB)*** \\$4,672,625,000.00 \\$18,690,500,000.00 ***Uzbekistan (UZB)*** \\$4,742,230,769.23 \\$15,412,250,000.00 ***Kenya (KEN)*** \\$4,976,000,000.00 \\$10,781,333,333.33 ***Croatia (CRO)*** \\$4,992,800,000.00 \\$9,985,600,000.00 ***Belarus (BLR)*** \\$5,098,555,555.56 \\$45,887,000,000.00 ***Kazakhstan (KAZ)*** \\$6,832,411,764.71 \\$38,717,000,000.00 ***Cuba (CUB)\\**** \\$7,013,636,363.64 \\$15,430,000,000.00 ***Ukraine (UKR)*** \\$7,595,454,545.45 \\$41,775,000,000.00 ***Hungary (HUN)*** \\$7,848,600,000.00 \\$14,716,125,000.00 ***Ethiopia (ETH)*** \\$8,429,375,000.00 \\$67,435,000,000.00 ***New Zealand (NZL)*** \\$9,440,111,111.11 \\$42,480,500,000.00 ***Czech Republic (CZE)*** \\$18,526,900,000.00 \\$185,269,000,000.00 ***Denmark (DEN)*** \\$20,118,933,333.33 \\$150,892,000,000.00 ***Russia (RUS)*** \\$20,227,500,000.00 \\$59,617,894,736.84 ***South Africa (RSA)*** \\$26,621,300,000.00 \\$133,106,500,000.00 ***Colombia (COL)*** \\$31,655,000,000.00 \\$84,413,333,333.33 ***Greece (GRE)*** \\$32,432,333,333.33 \\$64,864,666,666.67 ***Romania (ROU)*** \\$36,388,800,000.00 \\$181,944,000,000.00 ***Netherlands (NED)*** \\$40,132,684,210.53 \\$95,315,125,000.00 ***Great Britain (GBR)\\**** \\$41,208,358,208.96 \\$102,257,777,777.78 ***Australia (AUS)*** \\$41,406,206,896.55 \\$150,097,500,000.00 ***Poland (POL)*** \\$43,045,545,454.55 \\$236,750,500,000.00 ***Sweden (SWE)*** \\$46,613,454,545.45 \\$256,374,000,000.00 ***Iran (IRI)*** \\$48,265,000,000.00 \\$128,706,666,666.67 ***France (FRA)*** \\$58,685,476,190.48 \\$246,479,000,000.00 ***Malaysia (MAS)*** \\$61,852,400,000.00 \\$0.00 ***South Korea (KOR)*** \\$62,914,285,714.29 \\$146,800,000,000.00 ***Italy (ITA)*** \\$66,024,642,857.14 \\$231,086,250,000.00 ***Canada (CAN)*** \\$66,469,545,454.55 \\$365,582,500,000.00 ***Thailand (THA)*** \\$68,287,333,333.33 \\$204,862,000,000.00 ***Spain (ESP)*** \\$73,080,000,000.00 \\$177,480,000,000.00 ***Belgium (BEL)*** \\$77,541,333,333.33 \\$232,624,000,000.00 ***Brazil (BRA)*** \\$80,777,894,736.84 \\$219,254,285,714.29 ***Germany (GER)*** \\$82,566,190,476.19 \\$203,987,058,823.53 ***Switzerland (SUI)*** \\$93,110,000,000.00 \\$217,256,666,666.67 ***Turkey (TUR)*** \\$93,898,250,000.00 \\$751,186,000,000.00 ***Japan (JPN)*** \\$107,624,390,243.90 \\$367,716,666,666.67 ***United States (USA)*** \\$148,322,280,991.74 \\$390,152,086,956.52 ***China (CHN)*** \\$155,234,914,285.72 \\$417,940,153,846.15 ***Mexico (MEX)*** \\$216,486,000,000.00 \\$0.00 Cuba - estimate from the World Bank for 2013 Great Britain - uses the United Kingdom's number North Korea - estimate from the UN for 2014 People Per Medal and People Per Gold Our second dubious statistic is the *people per medal* table. The populations were taken from Wikipedia's [country by population](https:\/\/en.wikipedia.org\/wiki\/List_of_countries_by_population_\$United_Nations\$) article, with estimates from the United Nations in 2016 (Retrieved August 2016).       **County** **People per Medal** **People per Gold** ***Jamaica (JAM)*** 247,568 453,874 ***New Zealand (NZL)*** 261,564 1,177,040 ***Denmark (DEN)*** 381,630 2,862,228 ***Croatia (CRO)*** 419,067 838,134 ***Georgia (GEO)*** 531,486 1,860,200 ***Azerbaijan (AZE)*** 541,972 9,755,500 ***Hungary (HUN)*** 654,867 1,227,875 ***Australia (AUS)*** 833,303 3,020,725 ***Serbia (SRB)*** 884,547 3,538,186 ***Netherlands (NED)*** 891,937 2,118,350 ***Sweden (SWE)*** 900,576 4,953,166 ***Great Britain (GBR)\\**** 971,791 2,411,481 ***Cuba (CUB)*** 1,021,728 2,247,801 ***Kazakhstan (KAZ)*** 1,044,306 5,917,733 ***Belarus (BLR)*** 1,055,411 9,498,700 ***Czech Republic (CZE)*** 1,055,852 10,558,524 ***Switzerland (SUI)*** 1,191,657 2,780,533 ***France (FRA)*** 1,538,452 6,461,500 ***Canada (CAN)*** 1,659,123 9,125,175 ***Greece (GRE)*** 1,809,670 3,619,339 ***Belgium (BEL)*** 1,887,112 5,661,337 ***Germany (GER)*** 1,946,926 4,810,053 ***Italy (ITA)*** 2,166,627 7,583,194 ***South Korea (KOR)*** 2,419,115 5,644,601 ***Uzbekistan (UZB)*** 2,428,869 7,893,825 ***Russia (RUS)*** 2,618,571 7,717,895 ***United States (USA)*** 2,680,124 7,049,891 ***Spain (ESP)*** 2,731,672 6,634,060 ***Japan (JPN)*** 3,097,561 10,583,333 ***Kenya (KEN)*** 3,396,660 7,359,430 ***North Korea (PRK)*** 3,459,073 12,106,755 ***Poland (POL)*** 3,494,294 19,218,620 ***Ukraine (UKR)*** 3,878,014 21,329,075 ***Romania (ROU)*** 3,972,200 19,861,000 ***South Africa (RSA)*** 5,565,365 27,826,827 ***Colombia (COL)*** 6,100,338 16,267,567 ***Malaysia (MAS)*** 6,345,460 0 ***Turkey (TUR)*** 9,842,750 78,742,000 ***Iran (IRI)*** 9,934,738 26,492,633 ***Brazil (BRA)*** 10,870,684 29,506,143 ***Thailand (THA)*** 10,954,850 32,864,549 ***Ethiopia (ETH)*** 12,731,625 101,853,000 ***China (CHN)*** 19,690,429 53,012,692 ***Mexico (MEX)*** 25,726,400 0 Great Britain - uses the United Kingdom's number Adjusting Olympic Medal Counts These methods obviously aren't the best in the world, but they do reveal some of the 'underdogs' once you allow a little editorializing. To most people watching the games, **Jamaica** is an obvious choice for the hidden winner. Beyond Usain Bolt's 3 gold medals (including in the 4x100), there were *8 other medals* won by the small country... including 3 other golds. Jamaica is at the top of ***both*** of the adjusted lists, so some value is confirmed - and we can argue about the rest of the countries. The USA has 3x as many Olympic golds as Hungary, but 30x the population. Adjusting for this, Hungary is kicking our ass. — Neil deGrasse Tyson (@neiltyson) [August 12, 2016](https:\/\/twitter.com\/neiltyson\/status\/764108960525799425) *Is there a perfect adjustment possible?* **Of course not** - it would be impossible to perfectly level the advantages and disadvantages of every nation for summer and winter games. If there ***was*** a measure, it'd probably take geographic constraints (perhaps, degrees of latitude?) into consideration too, especially for the winter games. Consider the sheer amount of land Russia, Canada and the United States claim that get \"real\" winters. **Now** consider that the most famous Olympic movie of all time is about, of course, [Jamaica's underdog bobsled team](http:\/\/www.imdb.com\/title\/tt0106611\/). People love to watch an underdog, and it makes logical sense that geographic constraints mean small island nations near the equator shouldn't compete too strongly with countries that have land in the arctic circle at any particular Winter Olympics. Regardless of the weaknesses of any individual adjustment, we'll always have arguments - so argue in the comments\\! *What's the best way to adjust the medal count, and where does your favorite country rank? Anyone from Jamaica or elsewhere want to make a stronger case for Jamaica winning the 2016 Rio Games?*\n\n![](https:\/\/secure.gravatar.com\/avatar\/a9180f5331495a954250120625b978b9739b6f342e1853a7f757e65ca793fc3d?s=96&d=mm&r=g)\n\n### PK\nPK started DQYDJ in 2009 to research and discuss finance and investing and help answer financial questions. He's expanded DQYDJ to build visualizations, calculators, and interactive tools.\n\nPK lives in New Hampshire with his wife, kids, and dog.","meta_canonical":null}

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Boilerpipe Text	August 22nd, 2020 by PK Every time an Olympics wraps up, we've got a silly tradition here on DQYDJ where we calculate some of the more dubious adjusted medal counts proposed to 'level' out the successes of various countries. There is some value with taking a shot(put?) at this - a proper adjustment would be great, and we're not going to Nirvana Fallacy all over the concept of adjustment in general. It's just that while the aim is noble, in practice adjusting isn't a good idea because the United States (for example) can't send 30 gymnasts or 10 basketball teams to the games. That's enough disclaimer. Let's look at the first presentation and the only official statistic... the actual medal count ( courtesy of Wikipedia) : All countries with 15 or more total medals in the 2016 Rio Olympic Games (Wikipedia). By this count, the United States was the winner. Onto the Other Olympic Success Measures: Medals vs. GDP and Medals vs. Population However dubious adjusting medal count for country GDPs and populations is, it's still a fun diversion. Sports inspire arguments - it's the very nature of sports, and far superior to other methods of resolving conflict between countries. The truth is, even though these adjusted measures are biased against very rich or very populous countries for the aforementioned reasons, they do tend to reveal countries which are punching above their weight. This year, by this author's calculations, that would be Jamaica, Azerbaijan, Georgia, and Croatia. They outperform on measures of 'GDP dollars per medal' (the inverse of medals per dollar of GDP) and 'Population per Medal' (the inverse of medals per capita). Dollars of GDP per Medal and Dollars of GDP per Gold Our first dubious statistic is our Dollars of GDP per Medal table. We ran these numbers for all countries with 5 or more medals, and used Wikipedia's country nominal GDP table . (All numbers are from the IMF's 2016 estimate column unless noted below. Retrieved August, 2016.) Country Dollars of GDP per Medal Dollars of GDP per Gold Jamaica (JAM) $1,277,909,090.91 $2,342,833,333.33 Azerbaijan (AZE) $1,952,277,777.78 $35,141,000,000.00 Georgia (GEO) $1,991,714,285.71 $6,971,000,000.00 North Korea (PRK)* $2,485,142,857.14 $8,698,000,000.00 Serbia (SRB) $4,672,625,000.00 $18,690,500,000.00 Uzbekistan (UZB) $4,742,230,769.23 $15,412,250,000.00 Kenya (KEN) $4,976,000,000.00 $10,781,333,333.33 Croatia (CRO) $4,992,800,000.00 $9,985,600,000.00 Belarus (BLR) $5,098,555,555.56 $45,887,000,000.00 Kazakhstan (KAZ) $6,832,411,764.71 $38,717,000,000.00 Cuba (CUB)* $7,013,636,363.64 $15,430,000,000.00 Ukraine (UKR) $7,595,454,545.45 $41,775,000,000.00 Hungary (HUN) $7,848,600,000.00 $14,716,125,000.00 Ethiopia (ETH) $8,429,375,000.00 $67,435,000,000.00 New Zealand (NZL) $9,440,111,111.11 $42,480,500,000.00 Czech Republic (CZE) $18,526,900,000.00 $185,269,000,000.00 Denmark (DEN) $20,118,933,333.33 $150,892,000,000.00 Russia (RUS) $20,227,500,000.00 $59,617,894,736.84 South Africa (RSA) $26,621,300,000.00 $133,106,500,000.00 Colombia (COL) $31,655,000,000.00 $84,413,333,333.33 Greece (GRE) $32,432,333,333.33 $64,864,666,666.67 Romania (ROU) $36,388,800,000.00 $181,944,000,000.00 Netherlands (NED) $40,132,684,210.53 $95,315,125,000.00 Great Britain (GBR)* $41,208,358,208.96 $102,257,777,777.78 Australia (AUS) $41,406,206,896.55 $150,097,500,000.00 Poland (POL) $43,045,545,454.55 $236,750,500,000.00 Sweden (SWE) $46,613,454,545.45 $256,374,000,000.00 Iran (IRI) $48,265,000,000.00 $128,706,666,666.67 France (FRA) $58,685,476,190.48 $246,479,000,000.00 Malaysia (MAS) $61,852,400,000.00 $0.00 South Korea (KOR) $62,914,285,714.29 $146,800,000,000.00 Italy (ITA) $66,024,642,857.14 $231,086,250,000.00 Canada (CAN) $66,469,545,454.55 $365,582,500,000.00 Thailand (THA) $68,287,333,333.33 $204,862,000,000.00 Spain (ESP) $73,080,000,000.00 $177,480,000,000.00 Belgium (BEL) $77,541,333,333.33 $232,624,000,000.00 Brazil (BRA) $80,777,894,736.84 $219,254,285,714.29 Germany (GER) $82,566,190,476.19 $203,987,058,823.53 Switzerland (SUI) $93,110,000,000.00 $217,256,666,666.67 Turkey (TUR) $93,898,250,000.00 $751,186,000,000.00 Japan (JPN) $107,624,390,243.90 $367,716,666,666.67 United States (USA) $148,322,280,991.74 $390,152,086,956.52 China (CHN) $155,234,914,285.72 $417,940,153,846.15 Mexico (MEX) $216,486,000,000.00 $0.00 Cuba - estimate from the World Bank for 2013 Great Britain - uses the United Kingdom's number North Korea - estimate from the UN for 2014 People Per Medal and People Per Gold Our second dubious statistic is the people per medal table. The populations were taken from Wikipedia's country by population article, with estimates from the United Nations in 2016 (Retrieved August 2016). County People per Medal People per Gold Jamaica (JAM) 247,568 453,874 New Zealand (NZL) 261,564 1,177,040 Denmark (DEN) 381,630 2,862,228 Croatia (CRO) 419,067 838,134 Georgia (GEO) 531,486 1,860,200 Azerbaijan (AZE) 541,972 9,755,500 Hungary (HUN) 654,867 1,227,875 Australia (AUS) 833,303 3,020,725 Serbia (SRB) 884,547 3,538,186 Netherlands (NED) 891,937 2,118,350 Sweden (SWE) 900,576 4,953,166 Great Britain (GBR)* 971,791 2,411,481 Cuba (CUB) 1,021,728 2,247,801 Kazakhstan (KAZ) 1,044,306 5,917,733 Belarus (BLR) 1,055,411 9,498,700 Czech Republic (CZE) 1,055,852 10,558,524 Switzerland (SUI) 1,191,657 2,780,533 France (FRA) 1,538,452 6,461,500 Canada (CAN) 1,659,123 9,125,175 Greece (GRE) 1,809,670 3,619,339 Belgium (BEL) 1,887,112 5,661,337 Germany (GER) 1,946,926 4,810,053 Italy (ITA) 2,166,627 7,583,194 South Korea (KOR) 2,419,115 5,644,601 Uzbekistan (UZB) 2,428,869 7,893,825 Russia (RUS) 2,618,571 7,717,895 United States (USA) 2,680,124 7,049,891 Spain (ESP) 2,731,672 6,634,060 Japan (JPN) 3,097,561 10,583,333 Kenya (KEN) 3,396,660 7,359,430 North Korea (PRK) 3,459,073 12,106,755 Poland (POL) 3,494,294 19,218,620 Ukraine (UKR) 3,878,014 21,329,075 Romania (ROU) 3,972,200 19,861,000 South Africa (RSA) 5,565,365 27,826,827 Colombia (COL) 6,100,338 16,267,567 Malaysia (MAS) 6,345,460 0 Turkey (TUR) 9,842,750 78,742,000 Iran (IRI) 9,934,738 26,492,633 Brazil (BRA) 10,870,684 29,506,143 Thailand (THA) 10,954,850 32,864,549 Ethiopia (ETH) 12,731,625 101,853,000 China (CHN) 19,690,429 53,012,692 Mexico (MEX) 25,726,400 0 Great Britain - uses the United Kingdom's number Adjusting Olympic Medal Counts These methods obviously aren't the best in the world, but they do reveal some of the 'underdogs' once you allow a little editorializing. To most people watching the games, Jamaica is an obvious choice for the hidden winner. Beyond Usain Bolt's 3 gold medals (including in the 4x100), there were 8 other medals won by the small country... including 3 other golds. Jamaica is at the top of both of the adjusted lists, so some value is confirmed - and we can argue about the rest of the countries. The USA has 3x as many Olympic golds as Hungary, but 30x the population. Adjusting for this, Hungary is kicking our ass. — Neil deGrasse Tyson (@neiltyson) August 12, 2016 Is there a perfect adjustment possible? Of course not - it would be impossible to perfectly level the advantages and disadvantages of every nation for summer and winter games. If there was a measure, it'd probably take geographic constraints (perhaps, degrees of latitude?) into consideration too, especially for the winter games. Consider the sheer amount of land Russia, Canada and the United States claim that get "real" winters. Now consider that the most famous Olympic movie of all time is about, of course, Jamaica's underdog bobsled team . People love to watch an underdog, and it makes logical sense that geographic constraints mean small island nations near the equator shouldn't compete too strongly with countries that have land in the arctic circle at any particular Winter Olympics. Regardless of the weaknesses of any individual adjustment, we'll always have arguments - so argue in the comments! What's the best way to adjust the medal count, and where does your favorite country rank? Anyone from Jamaica or elsewhere want to make a stronger case for Jamaica winning the 2016 Rio Games? PK PK started DQYDJ in 2009 to research and discuss finance and investing and help answer financial questions. He's expanded DQYDJ to build visualizations, calculators, and interactive tools. PK lives in New Hampshire with his wife, kids, and dog.
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[Offbeat](https://dqydj.com/offbeat/) August 22nd, 2020 by PK Every time an Olympics wraps up, we've got a silly tradition here on DQYDJ where we calculate some of the more dubious adjusted medal counts proposed to 'level' out the successes of various countries. There is some value with taking a shot(put?) at this - a proper adjustment would be great, and we're not going to [Nirvana Fallacy](https://en.wikipedia.org/wiki/Nirvana_fallacy) all over the concept of adjustment in general. It's just that while the *aim* is noble, *in practice* adjusting isn't a good idea because the United States (for example) can't send 30 gymnasts or 10 basketball teams to the games. That's enough disclaimer. Let's look at the first presentation and the only official statistic... the actual medal count ([courtesy of Wikipedia)](https://en.wikipedia.org/wiki/2016_Summer_Olympics_medal_table): [![Who won the 2016 Rio Olympics?](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAp8AAAIeAQMAAADHyvY2AAAABlBMVEUAAAD///+l2Z/dAAAAAXRSTlMAQObYZgAAAAlwSFlzAAAOxAAADsQBlSsOGwAAAERJREFUeNrtwTEBAAAAwqD1T20ND6AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAODNALP2AAENvVrhAAAAAElFTkSuQmCC)![Who won the 2016 Rio Olympics?](https://cdn.dqydj.com/wp-content/uploads/2016/08/olympic_medal_count_15_over.png)](https://cdn.dqydj.com/wp-content/uploads/2016/08/olympic_medal_count_15_over.png) All countries with *15 or more* total medals in the 2016 Rio Olympic Games (Wikipedia). By this count, the United States was the winner. ## Onto the Other Olympic Success Measures: Medals vs. GDP and Medals vs. Population However dubious adjusting medal count for country GDPs and populations is, it's still a fun diversion. Sports inspire arguments - it's the very nature of sports, and far superior to other methods of resolving conflict between countries. The truth is, even though these adjusted measures are biased against very rich or very populous countries for the aforementioned reasons, they do tend to reveal countries which are punching above their weight. This year, by this author's calculations, that would be Jamaica, Azerbaijan, Georgia, and Croatia. They outperform on measures of 'GDP dollars per medal' (the inverse of medals per dollar of GDP) and 'Population per Medal' (the inverse of medals per capita). #### Dollars of GDP per Medal and Dollars of GDP per Gold Our first dubious statistic is our Dollars of GDP per Medal table. We ran these numbers for all countries with 5 or more medals, and used Wikipedia's country [nominal GDP table](https://en.wikipedia.org/wiki/List_of_countries_by_GDP_$nominal$). (All numbers are from the IMF's 2016 estimate column unless noted below. Retrieved August, 2016.) \| \| \| \| \|---\|---\|---\| \| Country \| Dollars of GDP per Medal \| Dollars of GDP per Gold \| \| *Jamaica (JAM)* \| \$1,277,909,090.91 \| \$2,342,833,333.33 \| \| *Azerbaijan (AZE)* \| \$1,952,277,777.78 \| \$35,141,000,000.00 \| \| *Georgia (GEO)* \| \$1,991,714,285.71 \| \$6,971,000,000.00 \| \| *North Korea (PRK)\ \| \$2,485,142,857.14 \| \$8,698,000,000.00 \| \| Serbia (SRB) \| \$4,672,625,000.00 \| \$18,690,500,000.00 \| \| Uzbekistan (UZB) \| \$4,742,230,769.23 \| \$15,412,250,000.00 \| \| Kenya (KEN) \| \$4,976,000,000.00 \| \$10,781,333,333.33 \| \| Croatia (CRO) \| \$4,992,800,000.00 \| \$9,985,600,000.00 \| \| Belarus (BLR) \| \$5,098,555,555.56 \| \$45,887,000,000.00 \| \| Kazakhstan (KAZ) \| \$6,832,411,764.71 \| \$38,717,000,000.00 \| \| Cuba (CUB)\* \| \$7,013,636,363.64 \| \$15,430,000,000.00 \| \| Ukraine (UKR) \| \$7,595,454,545.45 \| \$41,775,000,000.00 \| \| Hungary (HUN) \| \$7,848,600,000.00 \| \$14,716,125,000.00 \| \| Ethiopia (ETH) \| \$8,429,375,000.00 \| \$67,435,000,000.00 \| \| New Zealand (NZL) \| \$9,440,111,111.11 \| \$42,480,500,000.00 \| \| Czech Republic (CZE) \| \$18,526,900,000.00 \| \$185,269,000,000.00 \| \| Denmark (DEN) \| \$20,118,933,333.33 \| \$150,892,000,000.00 \| \| Russia (RUS) \| \$20,227,500,000.00 \| \$59,617,894,736.84 \| \| South Africa (RSA) \| \$26,621,300,000.00 \| \$133,106,500,000.00 \| \| Colombia (COL) \| \$31,655,000,000.00 \| \$84,413,333,333.33 \| \| Greece (GRE) \| \$32,432,333,333.33 \| \$64,864,666,666.67 \| \| Romania (ROU) \| \$36,388,800,000.00 \| \$181,944,000,000.00 \| \| Netherlands (NED) \| \$40,132,684,210.53 \| \$95,315,125,000.00 \| \| Great Britain (GBR)\* \| \$41,208,358,208.96 \| \$102,257,777,777.78 \| \| Australia (AUS) \| \$41,406,206,896.55 \| \$150,097,500,000.00 \| \| Poland (POL) \| \$43,045,545,454.55 \| \$236,750,500,000.00 \| \| Sweden (SWE) \| \$46,613,454,545.45 \| \$256,374,000,000.00 \| \| Iran (IRI) \| \$48,265,000,000.00 \| \$128,706,666,666.67 \| \| France (FRA) \| \$58,685,476,190.48 \| \$246,479,000,000.00 \| \| Malaysia (MAS) \| \$61,852,400,000.00 \| \$0.00 \| \| South Korea (KOR) \| \$62,914,285,714.29 \| \$146,800,000,000.00 \| \| Italy (ITA) \| \$66,024,642,857.14 \| \$231,086,250,000.00 \| \| Canada (CAN) \| \$66,469,545,454.55 \| \$365,582,500,000.00 \| \| Thailand (THA) \| \$68,287,333,333.33 \| \$204,862,000,000.00 \| \| Spain (ESP) \| \$73,080,000,000.00 \| \$177,480,000,000.00 \| \| Belgium (BEL) \| \$77,541,333,333.33 \| \$232,624,000,000.00 \| \| Brazil (BRA) \| \$80,777,894,736.84 \| \$219,254,285,714.29 \| \| Germany (GER) \| \$82,566,190,476.19 \| \$203,987,058,823.53 \| \| Switzerland (SUI) \| \$93,110,000,000.00 \| \$217,256,666,666.67 \| \| Turkey (TUR) \| \$93,898,250,000.00 \| \$751,186,000,000.00 \| \| Japan (JPN) \| \$107,624,390,243.90 \| \$367,716,666,666.67 \| \| United States (USA) \| \$148,322,280,991.74 \| \$390,152,086,956.52 \| \| China (CHN) \| \$155,234,914,285.72 \| \$417,940,153,846.15 \| \| Mexico (MEX)** \| \$216,486,000,000.00 \| \$0.00 \| - Cuba - estimate from the World Bank for 2013 - Great Britain - uses the United Kingdom's number - North Korea - estimate from the UN for 2014 #### People Per Medal and People Per Gold Our second dubious statistic is the people per medal table. The populations were taken from Wikipedia's [country by population](https://en.wikipedia.org/wiki/List_of_countries_by_population_$United_Nations$) article, with estimates from the United Nations in 2016 (Retrieved August 2016). \| \| \| \| \|---\|---\|---\| \| County \| People per Medal \| People per Gold \| \| *Jamaica (JAM)* \| 247,568 \| 453,874 \| \| *New Zealand (NZL)* \| 261,564 \| 1,177,040 \| \| *Denmark (DEN)* \| 381,630 \| 2,862,228 \| \| *Croatia (CRO)* \| 419,067 \| 838,134 \| \| *Georgia (GEO)* \| 531,486 \| 1,860,200 \| \| *Azerbaijan (AZE)* \| 541,972 \| 9,755,500 \| \| *Hungary (HUN)* \| 654,867 \| 1,227,875 \| \| *Australia (AUS)* \| 833,303 \| 3,020,725 \| \| *Serbia (SRB)* \| 884,547 \| 3,538,186 \| \| *Netherlands (NED)* \| 891,937 \| 2,118,350 \| \| *Sweden (SWE)* \| 900,576 \| 4,953,166 \| \| *Great Britain (GBR)\ \| 971,791 \| 2,411,481 \| \| Cuba (CUB) \| 1,021,728 \| 2,247,801 \| \| Kazakhstan (KAZ) \| 1,044,306 \| 5,917,733 \| \| Belarus (BLR) \| 1,055,411 \| 9,498,700 \| \| Czech Republic (CZE) \| 1,055,852 \| 10,558,524 \| \| Switzerland (SUI) \| 1,191,657 \| 2,780,533 \| \| France (FRA) \| 1,538,452 \| 6,461,500 \| \| Canada (CAN) \| 1,659,123 \| 9,125,175 \| \| Greece (GRE) \| 1,809,670 \| 3,619,339 \| \| Belgium (BEL) \| 1,887,112 \| 5,661,337 \| \| Germany (GER) \| 1,946,926 \| 4,810,053 \| \| Italy (ITA) \| 2,166,627 \| 7,583,194 \| \| South Korea (KOR) \| 2,419,115 \| 5,644,601 \| \| Uzbekistan (UZB) \| 2,428,869 \| 7,893,825 \| \| Russia (RUS) \| 2,618,571 \| 7,717,895 \| \| United States (USA) \| 2,680,124 \| 7,049,891 \| \| Spain (ESP) \| 2,731,672 \| 6,634,060 \| \| Japan (JPN) \| 3,097,561 \| 10,583,333 \| \| Kenya (KEN) \| 3,396,660 \| 7,359,430 \| \| North Korea (PRK) \| 3,459,073 \| 12,106,755 \| \| Poland (POL) \| 3,494,294 \| 19,218,620 \| \| Ukraine (UKR) \| 3,878,014 \| 21,329,075 \| \| Romania (ROU) \| 3,972,200 \| 19,861,000 \| \| South Africa (RSA) \| 5,565,365 \| 27,826,827 \| \| Colombia (COL) \| 6,100,338 \| 16,267,567 \| \| Malaysia (MAS) \| 6,345,460 \| 0 \| \| Turkey (TUR) \| 9,842,750 \| 78,742,000 \| \| Iran (IRI) \| 9,934,738 \| 26,492,633 \| \| Brazil (BRA) \| 10,870,684 \| 29,506,143 \| \| Thailand (THA) \| 10,954,850 \| 32,864,549 \| \| Ethiopia (ETH) \| 12,731,625 \| 101,853,000 \| \| China (CHN) \| 19,690,429 \| 53,012,692 \| \| Mexico (MEX) \| 25,726,400 \| 0 \| - Great Britain - uses the United Kingdom's number ## Adjusting Olympic Medal Counts These methods obviously aren't the best in the world, but they do reveal some of the 'underdogs' once you allow a little editorializing. To most people watching the games, Jamaica** is an obvious choice for the hidden winner. Beyond Usain Bolt's 3 gold medals (including in the 4x100), there were 8 other medals won by the small country... including 3 other golds. Jamaica is at the top of *both* of the adjusted lists, so some value is confirmed - and we can argue about the rest of the countries. > The USA has 3x as many Olympic golds as Hungary, but 30x the population. Adjusting for this, Hungary is kicking our ass. > > — Neil deGrasse Tyson (@neiltyson) [August 12, 2016](https://twitter.com/neiltyson/status/764108960525799425) Is there a perfect adjustment possible? Of course not - it would be impossible to perfectly level the advantages and disadvantages of every nation for summer and winter games. If there *was* a measure, it'd probably take geographic constraints (perhaps, degrees of latitude?) into consideration too, especially for the winter games. Consider the sheer amount of land Russia, Canada and the United States claim that get "real" winters. Now consider that the most famous Olympic movie of all time is about, of course, [Jamaica's underdog bobsled team](http://www.imdb.com/title/tt0106611/). People love to watch an underdog, and it makes logical sense that geographic constraints mean small island nations near the equator shouldn't compete too strongly with countries that have land in the arctic circle at any particular Winter Olympics. Regardless of the weaknesses of any individual adjustment, we'll always have arguments - so argue in the comments\! What's the best way to adjust the medal count, and where does your favorite country rank? 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Readable Markdown	August 22nd, 2020 by PK Every time an Olympics wraps up, we've got a silly tradition here on DQYDJ where we calculate some of the more dubious adjusted medal counts proposed to 'level' out the successes of various countries. There is some value with taking a shot(put?) at this - a proper adjustment would be great, and we're not going to [Nirvana Fallacy](https://en.wikipedia.org/wiki/Nirvana_fallacy) all over the concept of adjustment in general. It's just that while the *aim* is noble, *in practice* adjusting isn't a good idea because the United States (for example) can't send 30 gymnasts or 10 basketball teams to the games. That's enough disclaimer. Let's look at the first presentation and the only official statistic... the actual medal count ([courtesy of Wikipedia)](https://en.wikipedia.org/wiki/2016_Summer_Olympics_medal_table): [![Who won the 2016 Rio Olympics?](https://cdn.dqydj.com/wp-content/uploads/2016/08/olympic_medal_count_15_over.png)](https://cdn.dqydj.com/wp-content/uploads/2016/08/olympic_medal_count_15_over.png) All countries with *15 or more* total medals in the 2016 Rio Olympic Games (Wikipedia). By this count, the United States was the winner. Onto the Other Olympic Success Measures: Medals vs. GDP and Medals vs. Population However dubious adjusting medal count for country GDPs and populations is, it's still a fun diversion. Sports inspire arguments - it's the very nature of sports, and far superior to other methods of resolving conflict between countries. The truth is, even though these adjusted measures are biased against very rich or very populous countries for the aforementioned reasons, they do tend to reveal countries which are punching above their weight. This year, by this author's calculations, that would be Jamaica, Azerbaijan, Georgia, and Croatia. They outperform on measures of 'GDP dollars per medal' (the inverse of medals per dollar of GDP) and 'Population per Medal' (the inverse of medals per capita). Dollars of GDP per Medal and Dollars of GDP per Gold Our first dubious statistic is our Dollars of GDP per Medal table. We ran these numbers for all countries with 5 or more medals, and used Wikipedia's country [nominal GDP table](https://en.wikipedia.org/wiki/List_of_countries_by_GDP_$nominal$). (All numbers are from the IMF's 2016 estimate column unless noted below. Retrieved August, 2016.) Country Dollars of GDP per Medal Dollars of GDP per Gold *Jamaica (JAM)* \$1,277,909,090.91 \$2,342,833,333.33 *Azerbaijan (AZE)* \$1,952,277,777.78 \$35,141,000,000.00 *Georgia (GEO)* \$1,991,714,285.71 \$6,971,000,000.00 *North Korea (PRK)\ \$2,485,142,857.14 \$8,698,000,000.00 Serbia (SRB) \$4,672,625,000.00 \$18,690,500,000.00 Uzbekistan (UZB) \$4,742,230,769.23 \$15,412,250,000.00 Kenya (KEN) \$4,976,000,000.00 \$10,781,333,333.33 Croatia (CRO) \$4,992,800,000.00 \$9,985,600,000.00 Belarus (BLR) \$5,098,555,555.56 \$45,887,000,000.00 Kazakhstan (KAZ) \$6,832,411,764.71 \$38,717,000,000.00 Cuba (CUB)\* \$7,013,636,363.64 \$15,430,000,000.00 Ukraine (UKR) \$7,595,454,545.45 \$41,775,000,000.00 Hungary (HUN) \$7,848,600,000.00 \$14,716,125,000.00 Ethiopia (ETH) \$8,429,375,000.00 \$67,435,000,000.00 New Zealand (NZL) \$9,440,111,111.11 \$42,480,500,000.00 Czech Republic (CZE) \$18,526,900,000.00 \$185,269,000,000.00 Denmark (DEN) \$20,118,933,333.33 \$150,892,000,000.00 Russia (RUS) \$20,227,500,000.00 \$59,617,894,736.84 South Africa (RSA) \$26,621,300,000.00 \$133,106,500,000.00 Colombia (COL) \$31,655,000,000.00 \$84,413,333,333.33 Greece (GRE) \$32,432,333,333.33 \$64,864,666,666.67 Romania (ROU) \$36,388,800,000.00 \$181,944,000,000.00 Netherlands (NED) \$40,132,684,210.53 \$95,315,125,000.00 Great Britain (GBR)\* \$41,208,358,208.96 \$102,257,777,777.78 Australia (AUS) \$41,406,206,896.55 \$150,097,500,000.00 Poland (POL) \$43,045,545,454.55 \$236,750,500,000.00 Sweden (SWE) \$46,613,454,545.45 \$256,374,000,000.00 Iran (IRI) \$48,265,000,000.00 \$128,706,666,666.67 France (FRA) \$58,685,476,190.48 \$246,479,000,000.00 Malaysia (MAS) \$61,852,400,000.00 \$0.00 South Korea (KOR) \$62,914,285,714.29 \$146,800,000,000.00 Italy (ITA) \$66,024,642,857.14 \$231,086,250,000.00 Canada (CAN) \$66,469,545,454.55 \$365,582,500,000.00 Thailand (THA) \$68,287,333,333.33 \$204,862,000,000.00 Spain (ESP) \$73,080,000,000.00 \$177,480,000,000.00 Belgium (BEL) \$77,541,333,333.33 \$232,624,000,000.00 Brazil (BRA) \$80,777,894,736.84 \$219,254,285,714.29 Germany (GER) \$82,566,190,476.19 \$203,987,058,823.53 Switzerland (SUI) \$93,110,000,000.00 \$217,256,666,666.67 Turkey (TUR) \$93,898,250,000.00 \$751,186,000,000.00 Japan (JPN) \$107,624,390,243.90 \$367,716,666,666.67 United States (USA) \$148,322,280,991.74 \$390,152,086,956.52 China (CHN) \$155,234,914,285.72 \$417,940,153,846.15 Mexico (MEX)** \$216,486,000,000.00 \$0.00 Cuba - estimate from the World Bank for 2013 Great Britain - uses the United Kingdom's number North Korea - estimate from the UN for 2014 People Per Medal and People Per Gold Our second dubious statistic is the people per medal table. The populations were taken from Wikipedia's [country by population](https://en.wikipedia.org/wiki/List_of_countries_by_population_$United_Nations$) article, with estimates from the United Nations in 2016 (Retrieved August 2016). County People per Medal People per Gold *Jamaica (JAM)* 247,568 453,874 *New Zealand (NZL)* 261,564 1,177,040 *Denmark (DEN)* 381,630 2,862,228 *Croatia (CRO)* 419,067 838,134 *Georgia (GEO)* 531,486 1,860,200 *Azerbaijan (AZE)* 541,972 9,755,500 *Hungary (HUN)* 654,867 1,227,875 *Australia (AUS)* 833,303 3,020,725 *Serbia (SRB)* 884,547 3,538,186 *Netherlands (NED)* 891,937 2,118,350 *Sweden (SWE)* 900,576 4,953,166 *Great Britain (GBR)\ 971,791 2,411,481 Cuba (CUB) 1,021,728 2,247,801 Kazakhstan (KAZ) 1,044,306 5,917,733 Belarus (BLR) 1,055,411 9,498,700 Czech Republic (CZE) 1,055,852 10,558,524 Switzerland (SUI) 1,191,657 2,780,533 France (FRA) 1,538,452 6,461,500 Canada (CAN) 1,659,123 9,125,175 Greece (GRE) 1,809,670 3,619,339 Belgium (BEL) 1,887,112 5,661,337 Germany (GER) 1,946,926 4,810,053 Italy (ITA) 2,166,627 7,583,194 South Korea (KOR) 2,419,115 5,644,601 Uzbekistan (UZB) 2,428,869 7,893,825 Russia (RUS) 2,618,571 7,717,895 United States (USA) 2,680,124 7,049,891 Spain (ESP) 2,731,672 6,634,060 Japan (JPN) 3,097,561 10,583,333 Kenya (KEN) 3,396,660 7,359,430 North Korea (PRK) 3,459,073 12,106,755 Poland (POL) 3,494,294 19,218,620 Ukraine (UKR) 3,878,014 21,329,075 Romania (ROU) 3,972,200 19,861,000 South Africa (RSA) 5,565,365 27,826,827 Colombia (COL) 6,100,338 16,267,567 Malaysia (MAS) 6,345,460 0 Turkey (TUR) 9,842,750 78,742,000 Iran (IRI) 9,934,738 26,492,633 Brazil (BRA) 10,870,684 29,506,143 Thailand (THA) 10,954,850 32,864,549 Ethiopia (ETH) 12,731,625 101,853,000 China (CHN) 19,690,429 53,012,692 Mexico (MEX) 25,726,400 0 Great Britain - uses the United Kingdom's number Adjusting Olympic Medal Counts These methods obviously aren't the best in the world, but they do reveal some of the 'underdogs' once you allow a little editorializing. To most people watching the games, Jamaica** is an obvious choice for the hidden winner. Beyond Usain Bolt's 3 gold medals (including in the 4x100), there were 8 other medals won by the small country... including 3 other golds. Jamaica is at the top of *both* of the adjusted lists, so some value is confirmed - and we can argue about the rest of the countries. The USA has 3x as many Olympic golds as Hungary, but 30x the population. Adjusting for this, Hungary is kicking our ass. — Neil deGrasse Tyson (@neiltyson) [August 12, 2016](https://twitter.com/neiltyson/status/764108960525799425) Is there a perfect adjustment possible? Of course not - it would be impossible to perfectly level the advantages and disadvantages of every nation for summer and winter games. If there *was* a measure, it'd probably take geographic constraints (perhaps, degrees of latitude?) into consideration too, especially for the winter games. Consider the sheer amount of land Russia, Canada and the United States claim that get "real" winters. Now consider that the most famous Olympic movie of all time is about, of course, [Jamaica's underdog bobsled team](http://www.imdb.com/title/tt0106611/). People love to watch an underdog, and it makes logical sense that geographic constraints mean small island nations near the equator shouldn't compete too strongly with countries that have land in the arctic circle at any particular Winter Olympics. Regardless of the weaknesses of any individual adjustment, we'll always have arguments - so argue in the comments\! What's the best way to adjust the medal count, and where does your favorite country rank? Anyone from Jamaica or elsewhere want to make a stronger case for Jamaica winning the 2016 Rio Games? ![](https://secure.gravatar.com/avatar/a9180f5331495a954250120625b978b9739b6f342e1853a7f757e65ca793fc3d?s=96&d=mm&r=g) ### PK PK started DQYDJ in 2009 to research and discuss finance and investing and help answer financial questions. He's expanded DQYDJ to build visualizations, calculators, and interactive tools. PK lives in New Hampshire with his wife, kids, and dog.
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