Christmas Card-o-gram 2017: Aurora meets GDP

This year’s christmas card-o-gram blends a view of northern lights (captured near Höfn, East Iceland) with a cartogram of global GDP distribution in 2017:

Christmas Cartogram Card 2017
Wishing everyone a Happy New Year!

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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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The Worldmapper Rainbow

A question often asked about Worldmapper is in regard to our choice of colours for the different regions and countries. On the website we briefly explain that the colours used on the maps group the territories into 12 geographical regions, and allow for an easier visual comparison between the maps than would otherwise be possible. The shading of each territory within a region is consistent throughout all of the maps.” But there is a little bit more to the colours which tell a story about the unequal fortunes of the world which follow a general pattern along the major regions.
The colours of the world’s regions are chosen very consciously, and have a deeper sense behind their distribution. We split the world into twelve contiguous geographical regions of population groups, with every region being roughly symmetrically balanced and having at least a population of one hundred million people. This is how the world’s population is distributed:
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