I decided to sit down and guess the current populations of (a) each US state and (b) each sovereign country. Given how often I work with this sort of data, I’d expect to be pretty good at this by now. I think I definitely did do pretty well, at least for the US. Below’s a map summary of results of where my guesses landed, although, of course, if you wish to try this yourself, you should probably not continue reading yet.
North Dakota turned out to be the state for which I most overestimated the population, at 131% of the actual population. I attribute this to overconsidering the effect of its recent boom. I’m not sure how to explain how I underestimated Connecticut’s population so substantially; it was the extreme in the other direction, at 61% of the actual population.
I was really, really shocked when I consulted the list of actual populations and found out Madagascar was over 6 times as populous as I guessed it would be. Kuwait was a mighty surprise too. The most populous country that I failed to guess the population to within 80% to 125% of the actual was Argentina.
Interestingly, my knowledge that Bahrain was ridiculously densely populated didn’t end up actually helping me, because I had no good mental estimator of how large Bahrain as an island was anyway.
This post consists of 16 charts, showing the top 12 countries and the top 12 cities in 8 Pokémon Go statistics: XP, Distance Walked, Pokémon Caught, Trainings, Battles Won, Berries Fed, Hours Defended, and Legendary Raids Won, as measured by the sum of the quantities of the top 25 players in the country or city, according to the last release of TL40 leaderboards. I used a convention that for a player whose statistic is “Not Disclosed”, I used the number for the next highest player that isn’t “Not Disclosed”, and if there isn’t such a next highest player with quantity disclosed, I used “0”.
Continue reading “Geographical Leaders in 8 Different Stats in Pokémon Go”
I reached 25 million XP on May 13, Day 625 of playing. I reached it by feeding a razz berry.
Here’s a chart of XP versus time at level-ups and this update.
My buddy at the moment was Exeggutor.
Since reaching Level 40, I have successfully changed my in-game name to 0xGG.
Continue reading “Pokémon Go: Stats at 25 Million XP”
Shortly after reaching Level 40 in Pokémon Go on my 543rd day of playing, I decided to track 6 statistics on a one-update-a-day basis for 50 days. The raw cumulative data is available here, along with some Ingress stats. Here’s a chart of totals per approx-day over this period.
Notably, Pokémon Caught and Gym Berries Fed seem to be the most correlated statistics. This actually makes sense given that both are statistics correlated with ample consistent play (the latter due to berry limits).
Over this period of time, my Battles Won and Hours Defended stats tracked remarkably close to each other, cumulatively.
Note that this is actually extremely unusual: for most Level 40 trainers, hours defended vastly exceeds battles won. The ratio is nearly 1 for me mainly due to gym activity mostly being in the blisteringly-high-turnover grounds of the MIT area.
This past March was zyxyvy’s best month in views up to date.
It also was one of the best months over at wywing, though in that case, the blog is still rather starved for views.
(In any case, thanks Lewis!)
One of the slow changes that have been occurring in the viewership of this blog is that it’s gradually getting more and more international.
Continue reading “A Little Breakthrough”
This filler text is intended to make it harder to accidentally see answers in post preview applications.
This map charts number of syllables in the name.
This map charts number of distinct main interstate freeways (number <100).
3) [note the posted ERRATUM]
This map charts number of counties of at least a million people.
This map charts number of national parks.
This map charts number of years before 19th Amendment ratification when women were granted suffrage.
This map charts length of the road named after the state in Washington, DC (miles).
ERRATUM: The quantity for California in item 3 should be 9, not 8.
What statistic is presented in each of these 6 maps?
ERRATUM (also at top of post): The quantity for California should be 9, not 8.