Olympic Winter Games PyeongChang 2018

The 2018 Winter Olympic Games in PyeongChang have come to an end. Branded as the ‘Games of new horizons’, they were as much about politics as they were about actual sports. The following cartogram series focuses on the sports side of the games, showing the distribution of medals that were awarded during the games. The maps show each country resized according to the number of medals received by each country (with the Olympic Athlete from Russia shown as Russia):

PyeongChang Winter Olympics 2018 - Medal Maps
(click for larger version)

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Rio 2016: Medals vs Athletes

Rio Olympics 2016 - Medals vs Athletes Scatterplot
Alternative ways of presenting the results of the Olympics has become more popular in recent years. Google – as other media outlets – did alternative medal counts allowing you to rank the medals not by their absolute numbers, but by other indicators such as population, GDP, or even more quirky themes such as fans or healthy eating. Continue reading

EU Referendum Statistics

Sanity is not statistical.” The political rhetoric in the aftermath of the EU referendum in the United Kingdom has brought us closer to Orwell’s infamous state of Airstrip One then one could have possibly envisaged. Each side of the debate twists and turns the statistics and ‘facts’ to keep supporting their argument, while neither political party has yet managed to end the political stalemate in the country, which finds itself in a state of ‘post-truth democracy‘ that it slowly entered during the pre-referendum campaigns. All sides claim what can be best explained with the German word ‘Deutungshoheit’ (a form of prerogative of interpreting the numbers behind the result as the ultimate truth). The real truth perhaps is that there is no truth, and the deeper you delve into the results, the more complexity you find. So here are some more less-talked about findings that emerge when taking a second look at the EU referendum statistics.
As mentioned in my earlier piece on mapping the referendum outcome, of all those who were allowed to vote in this referendum, 13 million people did decide not to cast their vote, which – despite the higher than currently usual turnout – is a significant number that could have made a difference in the close outcome either way. Amongst those that voted the immediate picture that emerged from the polls published after the referendum was confusing. Several polls, such as those paid for by Lord Ashcroft and used for this analysis, agreed that the older people were those who were more likely to vote for Leave, while the youngest had the largest share voting for Remain. However, when taking the total electorate into account, and considering those who – according to SkyData – chose not to vote (or spoilt their ballot), this picture became far less clear than it first seemed:

EU Referendum 2016 Statistics: Age groups

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