Lengths of Selected Countries

These calculations are performed with the assumption of nullification of Antarctic claims. These diagrams are generated using the daftlogic wrapper over Google Maps.

(And in case these maps constitute obscuring copyright, these maps are ©Gregorian 2017 Google, INEGI, ORION-ME.)

For reference, the equatorial circumference of the Earth is 40075 km, so 20037 km is the furthest apart two points on Earth can be.

France: 18168 km


United Kingdom, according to British claims: 16139 km


United States: 15326 km


Norge (Norway): 15098 km


United Kingdom, according to Mauritian, but not Argentinian, claims: 13589 km


United Kingdom, according to Argentinian and Mauritian claims: 10989 km

(Sidenote: the longest distance from the Shetlands to Tristan da Cunha just barely edges out the longest distance from Grand Cayman to Dhekelia, that is, by about 60 km, so we will not have to also address British-Cypriot territorial disputes.)

Россия (Russia), according to Russian claims: 8188 km


Nederland (Netherlands): 8057 km


Россия (Russia), according to Ukrainian, but not Japanese, claims: 7974 km


Россия (Russia), according to Ukrainian and Japanese claims: 7941 km


Australia: 7869 km


中國 (China), according to claims of the Republic: 5750 km


Aotearoa (New Zealand): 5721 km


中国 (China), according to claims of the People’s Republic: 5582 km


Canada: 5555 km


Continue reading “Lengths of Selected Countries”

Business Insider Please

These states of the US are populated by American humans. They kill over 10000 humans each year in the US, far surpassing the counts for the species you’ve introduced combined. dangerous.png

In particular, you mentioned sharks. Sharks kill about 10 people worldwide each year. That’s so few people even terrorists kill more people than they do.

On the other hand, humans kill 100 million sharks each year, so sharks, watch out for the states in the map above, they contain humans.

A Season with LearnedLeague

I recently finished playing in my first (and probably only, the reason for which I’ll explain shortly later) season of LearnedLeague, an online trivia league. I’d say it was a fun experience, and that the ideas behind how competition in LearnedLeague works are generally good ideas.

Each round (of which there are 25 in a season, at least in the one I participated in) consists of a head-to-head match between two league players, that involves answering trivia questions (called “offense”), and assigning numbers of points each question is worth for your opponent (called “defense”), for which one is allowed to consult their history to know what one’s opponent tends to be good at.

And this gets to why I don’t think I’ll be back for another season. LearnedLeague has failed to deviate from a problem I find in most trivia competitions: an excessive favoring of generalists. Frankly, there are four categories of LearnedLeague trivia (Film, Lifestyle, Pop Music, and Television) than not only am I terrible at but also I honestly have less than zero interest in getting better at (really, four and half, given the Games/Sport category; it’s a really easy exercise for the reader to figure out which half of that I don’t care about). But there are categories of trivia I am definitely extremely interested in. Overall, my trivia knowledge is terribly category-polar, and this makes me ridiculously easy to defend against. As much as I like the assigning-points-for-opponent mechanic, the resulting effects of the such for highly non-generalist people like me make it something I’m not willing to give money for. A second factor lies in excessive references to alcoholic drinks, which many may know I find elevated discomfort in. There’s quite a few questions for which it looks like the writer specifically wanted to force an association with alcohol. Yes, it turns out unfortunately trivia is often associated with bars. *Sigh*.

Anyway, my category stats:


Below I’ll make some notes on specific items in some categories.

Some of these questions have images that are part of the item when you click ‘Click here’. I’m too lazy to copy those over, so I’ll leave it to your imagination what those items were.



MD15Q3 was the least-correctly-answered item in the entire season, with only 5% answering correctly.

MD06Q2 was a guess. They all looked like portraits. Might as well guess that they were of the self variety.



I only got MD13Q1 because of knowing where Qaanaaq is and knowing there’s a military base named Thule nearby, and thus just guessing “Thule” off of only this information, possibly the most distant answer derivation I’ve underwent this entire season. Does this count as love towards Sweden via proxy?

I entered “Hand of God” instead of “Invisible Hand” for MH08Q5. Oops.

Current Events


I’m fairly ashamed of having not been able to name the new UN Secretary-General. Apparently, neither could most of LearnedLeague, so shame on everyone else too.



MD12Q5: Booo Othello. I can’t believe the world accepted the game of Reversi getting a second name.

What is sportsball.



Apparently the most frequently incorrectly guessed answer to MD20Q2 was “Washington”. I guess that’s what “Bellevue” tipped people off to?

I was not actually sure of the answer to MD12Q6; I based my guess off of understanding the Central American isthmus as gradually less inhabitable as one moves south and east.

American History


I don’t really have many comments to make here.

World History


I really should’ve gotten MD24Q5, but didn’t answer “Peloponnesian League” because of the inclusion of Corinth, which I recalled as not-all-that-Peloponnesian, although maybe I should’ve still considered the isthmus Pelopennesian. I guessed “Dorian League”.

For MD15Q4, I knew where relatively chronologically the House of Saxe-Coburg and Gotha was; I just couldn’t exactly remember where it was delimited and wasn’t exactly sure which monarchs came between Victoria and Edward $LARGE_NUM. I ended up deciding I had the best chances with guessing Victoria, which it turns out was too early.

For MD12Q3, I made the rather hilarious-in-retrospect mistake of calling the Ostrogoths the “Orthogoths”. Herpity derp.

MD07Q5 was the most-correctly-answered item in the entire season, with 88% answering correctly. Fortunately, I was in the 88% for this case.

I was wondering whether MD01Q2 wanted the real (legal) name of Kim Il-Sung, since that is not it, but ended up deciding they probably just want “Kim Il-Sung” for the purposes of the question. It turns out that was a good assumption.



I consider the FANBOYS question a bad question.

MD02Q4 was an item I really should’ve gotten, but I mind-blanked a bit much and put “al-“.



Maybe if I thought a little harder on MD18Q4 I would’ve gotten it.




MD08Q1 was the second-most-correctly-answered item in the entire season, with 87% answering correctly.

Classical Music


MD19Q4 was the second-least-correctly-answered item in the entire season, with only 14% answering correctly.

The Classical Music section consists of an excess of…I guess I’ll call it “applied” music and way not enough “pure” music, grump, grump. I’m saying “applied”, I guess because terms like “incidental” and “operatic” don’t actually capture the set I’m trying to describe.



I was actually quite surprised with how long it took me to recall what Newton’s Second Law was. It turned out my physical knowledge had progressed to a state where I only know if I’m supposed to know things. Fortunately, I did eventually remember the Law. I wonder if I would’ve forgotten it if I hadn’t taken an olympiad qualification test whose name is the equation of the Law.

Anyway, that’s all; ’twas a fun season. I’m going to stay around for some MiniLeagues, but then vanish from LearnedLeague. I did refer a friend to LearnedLeague, though, so maybe he will stay.

Pokémon Go: Most Represented Species by CP

I decided to add up the CPs of each individual for each species as a measure of how represented the species is in my set of Pokémon in Pokémon Go. The chart of the 27 most represented species is below.


The total CP of all Pokémon I have is about 353000, so Jolteon represents about 5% of all CP in my Pokémon. I was quite surprised to find out how close the CP shares of my top three species (Jolteon, Vaporeon, and Pidgeot) were.

Pokémon Go: Stats Upon Level 33

This post is in the format of and an extension of my Level 30 stats post from three months ago.

Around 0100 Eastern Time today, I evolved a Pidgey to reach 3750334 XP, thus levelling up to Level 33.

I started playing Pokémon Go on August 26 last year. Using this baseline, this is when my level-ups occurred:

Day 87: Level 29
Day 92: Level 30
Day 102: Level 31
Day 138: Level 32
Day 181: Level 33

My buddy is currently a Lapras. My buddy has previously been a Dratini, a Bellsprout, and two different Charmanders.

My Pokémon are currently at 383/400.
My eggs are currently at 9/9.
My items are currently at 308/350, specifically:
3x Super Potion
68x Hyper Potion
87x Max Potion
40x Max Revive
2x Incense
11x Great Ball
20x Ultra Ball
1x Lure Module
16x Razz Berry
5x Nanab Berry
39x Pinap Berry
Egg Incubator ∞
1x Metal Coat
1x Dragon Scale
1x Up-Grade

(I have still only used Max Potions where Hyper Potions would also work. I now have several Pokémon with over 200 HP, but the situation still hasn’t arisen for the two to have different effects from singular use yet.)

(At some point since the Level 30 stats update, I actually accumulated 272=0xGG max potions, and then decided I’m done hoarding them and letting them hog space.)

(Parentheticals in this section show change from last update. For comparison, the XP change from the previous update is +87.5%.)

Pokédex: 146 (+33)
Pokémon Caught: 8794 (+88.3%)
Evolutions: 1358 (+85.0%)
Pokéstop Visits: 11593 (+69.9%)
Distance Walked: 742.9 (+73.3%)
Eggs Hatched: 159 (+43.2%)
Gym Battles Won: 1305 (+35.7%)
Gym Trainings: 365 (+45.4%)

All 383 of my Pokémon are currently fully healed.

Strongest Pokémon:
Gyarados (CP 2945)
Vaporeon (CP 2766)
Vaporeon (CP 2650)
Flareon (CP 2499)
Snorlax (CP 2393)
Flareon (CP 2339)

(Strongest Pokémon at last update)
Gyarados (CP 2805)
Vaporeon (CP 2351)
Vaporeon (CP 2288)
Flareon (CP 2177)
Vaporeon (CP 2158)
Vaporeon (CP 2138)

Pokémon Caught by Type
(Parentheticals in this section show change from last update. For comparison, the XP change from the previous update is +87.5%, and the Pokémon caught change from the previous update is +88.3%.)
Normal: 6510 (+102.2%)
Flying: 4059 (+104.2%)
Poison: 1922 (+70.8%)
Bug: 1547 (+69.4%)
Water: 896 (+56.1%)
Psychic: 327 (+52.1%)
Ghost: 202 (+32.0%)
Electric: 169 (+116.7%)
Fairy: 157 (+241.3%)
Ground: 155 (+40.9%)
Grass: 109 (+73.0%)
Steel: 92 (+130.0%)
Fire: 86 (+100.0%)
Rock: 49 (+88.5%)
Ice: 43 (+79.2%)
Fighting: 38 (+26.7%)
Dark: 15 (+∞%)
Dragon: 13 (+8.3%)

Continue reading “Pokémon Go: Stats Upon Level 33”

Ingress: Stats Upon Level 10

Just a few a minutes ago, I reached Level 10 in Ingress, by glyph hacking the portal ‘Sonia McGee Tree’, in the southwest of MIT’s Building 26.

One of the great aspects of Ingress as a game is that it comes with a comprehensive dashboard of statistics; I don’t even need to make one myself!

(Since leveling up, I have performed one recharge.)

Five Years of International Viewership

It’s now five years since WordPress started providing by-country statistics of blog viewership. Although the vast majority of views of this blog are from the United States, there is still a significant amount of you that read this blog from dozens and dozens of countries throughout the world. In salutation to my international readers and in commemoration of five years of country viewership statistics on WordPress, here’s a cartogram of the about ninety countries that have viewed my blog at least 16 times in the past five years. Each block in the cartogram represents 16 views, with number of views rounded to the nearest 16.


Note that WordPress is blocked in China, so that’s five squares of people willing to circumvent the firewall to view my blog (or the Chinese government, I guess). I’m glad my blog’s worth the wallbreak.

ERRATUM/UPDATE: I previously failed to label Luxembourg (the green square right of Belgium) on the cartogram; that is now fixed. I’m sorry, Luxembourg!