I'm trying to get some more detail about the algorithm used for the maps, but there seems to be a basic problem.
The values, as with alcohol consumption above, are based upon consumption per capita. The best way to generate a value which can be compared across countries. However, to generate the above maps, a base is needed. It's not always clear if the algorithm works with land-area map (i.e: the standard world map we all know) or the population map (
http://www.worldmapper.org/display.php?selected=2 ).
For demographic data, such as alcohol consumption, I would assume the base map would be the population map. In which case, Russia has a high level of alcohol consumption, as it's size is much larger above than in the pop. map.
If, for ease of comprehension, they've use the land area as a base map (which would make more sense for people less familiar with cartography, as they will compare it with the well-known world map), then the above map indicates a low level of alcohol consumption for Russia, as it's smaller than the land area map.
Basically, without knowing which map has been used as a base to generate the output, all these maps are completely useless at best, and potentially misleading at worst.
That being said, it's a nice approach to cartography that I really like. it does away with the abstract notion of Euclidean space as somehow universal and starts to offer alternative cartography politics. But, without clear explanation, such an endeavour produces confusing and difficult to interpret results.
Whoever you vote for.
The government wins.