Totals over Time

once a month for an average year: 12 times
once an hour for an average day: 24 times
once a day for an average month: 30 times
once a second for an average minute: 60 times
once a minute for an average hour: 60 times
once a year for an average American lifespan: 79 times
once a day for an average year: 365 times
once an hour for an average month: 730 times
once a month for an average American lifespan: 945 times
once a minute for an average day: 1440 times
once a second for an average hour: 3600 times
once an hour for an average year: 8766 times
once a day for an average American lifespan: 28760 times
once a minute for an average month: 43830 times
once a second for an average day: 86400 times
once a minute for an average year: 525960 times
once an hour for an average American lifespan: 690235 times
once a second for an average month: 2 629 800 times
once a second for an average year: 31 557 600 times
once a minute for an average American lifespan: 41 414 090 times
once a second for an average American lifespan: 2 484 845 424 times

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Dual Frontier Analysis

I. Introduction, with Example in Population and Area of Countries and Country-Like Entities

In this post, I introduce a way of looking at correlated data I will term “dual frontier analysis”.

What motivates this idea? Often, we like to compare entities via a certain “rate”, how much of one quantity there is for a unit amount of another quantity, across a set of entities. One example of this is population density. But if you, like me, have glanced at a population density chart of, say, the countries, you may have had one of the same first reactions as I have had: “the top of the chart is pretty much just a listing of city-states!” You might then proceed with questioning whether it really makes sense to compare this quantity for city-states versus for “more normal” countries. Maybe we want a way of looking at this data that better captures what our prior idea of what an “impressively high” or “impressively low” population density is: Bangladesh’s population density definitely “feels” more impressive, even if it’s not as numerically high as Bahrain’s.

There are probably solutions to this problem involving designing a prior distribution of likeliness of one variable in terms of the other, and then comparing percentiles along respective distributions, but going down this path requires crunching a lot of numbers and, more importantly, extensive knowledge in the ideas being analyzed already.

Here is another solution: output the data on the dual frontiers. If two attributes are somewhat correlated, a scatterplot for entities in these attributes probably looks something like this.

scatterplot_example

What we’re outputting is this.

scatterplot_example_2

That is, we’re outputting entities for which no other entity has both more of one attribute and less of the other attribute than this entity.

In this way, we would capture, for instance, the country with the highest population density among countries of similar size. (We could even extend this to become a quantitative metric for entities not on this frontier: the percentage of the way an entity is from one frontier to the other.)

One could also look at an entity in this data and compare it to neighboring entities and see how much larger in one attribute another entity must be to be larger in the other attribute as well (as otherwise, this entity would also be in the frontier), which shows how prominently impressive a particular entity is in the ratio.

Continue reading “Dual Frontier Analysis”

500 Facts

Huh, a video of 500 facts.

Let’s see how many I’ve previously known.

1. No.
2. No.
3. No.  Who is John Cleese?
4. No.
5. No.
6. Yes.
7. No.
8. No.
9. No.
10. No.
11. Yes.
12. No.
13. No.
14. No.
15. No.
16. No.
17. No.
18. No. What is PEZ?
19. No.
20. No.
21. No.
22. No.
23. No.
24. No.
25. No.
26. No.
27. No. Who is Neil Diamond?
28. No.
29. No. Oh, that’s who Zachary Quinto is.
30. No.
31. No.
32. No.
33. No.
34. No.
35. No. Who is Orson Wel…oh.
36. No. And of course, fuck sportsball.
37. No.
38. No. And didn’t know who Deion Sanders was.
39. Yes.
40. No.
41. No.
42. Yes.
43. No. And who is Jack Benny?
44. Yes.
45. No. And I think I’m just going to stop pointing out people I haven’t even heard of.
46. No.
47. No.
48. Yes.
49. Yes.
50. No.
51. No.
52. No.
53. No.
54. No.
55. No.
56. No.
57. No.
58. No.
59. No.
60. Yes.
61. No.
62. No.
63. No.
64. No.
65. No.
66. No.
67. No.
68. No.
69. No.
70. Yes.
71. Yes.
72. Yes.
73. No.
74. Yes.
75. No.
76. No.
77. No. I actually thought the number would be substantially larger.
78. Yes.
79. No.
80. No.
81. Yes.
82. Yes. In fact it’s on http://web.mit.edu/~dzaefn/Public/best_of/w-best_wiki_articles.html.
83. No.
84. No.
85. No.
86. No.
87. No.
88. No.
89. No.
90. No.
91. No.
92. No.
93. No.
94. No.
95. No.
96. No.
97. No.
98. No.
99. No.
100. No.

Actually, fuck it, I’m bored. Let’s settle with just 15.

Six Months (Actually) on reddit

This past June 04, I finally started using reddit.

That’s not true. I’ve lurked on reddit (I think I’ll use the lowercase form since that’s what the site uses; I also like it this way) for definitely at least a couple years before that, but this wasn’t even “regularly-checking” lurking; I just checked reddit when I got really bored or otherwise was reminded of something being on reddit. Okay, so this past June 04 was the first time I started posting on reddit.

That’s not true either. This reddit account I’m currently speaking of wasn’t my first reddit account; I made one five months earlier than I made this one, which I used exclusively to post on subreddits relating to various games, at first just generals.io. In fact, come to think about it, generals.io really gets credit for being what caused me to actually start posting to reddit. It’s really weird what major discussion-facilitating sites there are that I start using because of games: reddit due to generals.io, Twitter due to minesweeper. (Of course, my start with reddit from generals.io went far, far smoother than my start with Twitter from minesweeper went, as many of you know.)

But in any case, I specifically did not wander off gaming-related subreddits with that account, and before this account, I really didn’t browse reddit much. This past June 04, I actually started using reddit, in the sense of freely wandering the site.

The following are my thoughts from these first six months.

I. Thoughts on the General reddit Community

I’m just going to start with saying that reddit has by far the most civil comments section that I’ve seen of an online community.

There will, as is really necessary online, occasionally be someone quite terribly grating and hyperbolically antagonistic, but even in these cases they usually seem like they’re sincerely representing their anger rather than just throwing clearly frivolous flames.

I have been rather surprised by how eerily normal my opinions often are in the reddit community. As someone who day-to-day notices my viewpoints and thoughts way off-sync to that of most people, I have to wonder how it manages to not seem so way off in what is clearly a pretty large mass of people. I absolutely would not have expected, for instance, that my opinions of the significance of Japanese war crimes of World War II was something that earned me net upvotes. Time and time again, I wish to speak my mind on something that I would have thought was a very disliked opinion, but find it’s a sentiment towards which reddit at large approves. Where are these people in real life?

In either case, I really like being able to see at what karma an opinion comment ends up to have some sort of a gauge as to how it fares and how accepted it is in some large group of people, even if it may not be the best approximation for the real life scenario.

A further interesting twist on this: I have, several times, made a comment that got greatly downvoted over the daytime (say, to below -10), and then massively upvoted over the nighttime (say, to above 20). It seems I’m significantly more in agreement with people who reddit (or at least visit the relevant subreddits) between 0200 and 0800 Eastern time. Now I have to wonder whether these are people in America redditing late-night or people elsewhere in the globe redditing during the day.

I really like the bot culture on reddit. I kept a list of reddit accounts I really like the existence of, and many on the list are bots. The bots deployed on reddit span a really great deal of usefulness and a spectrum of flavors of bot humor.

I saw a thread a while back (unfortunately I don’t remember which thread it was) where reddit administrators were openly having a conflict with each other; I can see why some may consider this to look unprofessional, but I really like this. I see it as a willingness to be frank about what internal conversations can be like. I interpret it as a refusal to sugarcoat a situation as nicer than it is and owning up to the fact that sometimes discussions don’t go well. It inspires confidence in an honest presentation and an open nature to a site.

Overall, there are lots of aspects I really appreciate about reddit. I’ll touch a bit on the flipside, though.

Continue reading “Six Months (Actually) on reddit”

Pokémon Go: Stats Upon Level 38

This post is roughly in the format of and an extension of my Level 36 stats post from three months ago. This time, however, I’m including a few more charts.

At 2002 Eastern Time on 10.03, I caught a Rattata to reach 12000138 XP, thus leveling up to Level 38.

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
Day 235: Level 34
Day 298: Level 35
Day 330: Level 36
Day 351: Level 37
Day 403: Level 38

My buddy is currently an Ampharos, which I have walked with for 41.9 km (and who was a Mareep when I started walking with it). I also walked with a Togepi for 111.0 km before this, and after I stopped walking with my prior Tyranitar, who I walked with for a total of 942.1 km.

(Parentheticals in this section show change from last update, at the Level 36 level-up. For comparison, the XP change from the previous update is +60.0%, and the increase in time under the new gym system since last update is +328.1%.)
[Bracketed quantities are amounts upon Level 37 level-up.]

Pokédex: 234 (+14) [225]
Pokémon Caught: 23612 (+42.9%) [18700]
Evolutions: 3274 (+47.8%) [2751]
PokéStop Visits: 27994 (+40.7%) [22233]
Distance Walked: 1904.3 (+35.0%) [1557.3]
Eggs Hatched: 444 (+35.8%) [377]
Gym Battles Won: 6949 (+112.8%) [4216]
Gym Trainings: 458 (+0.0%; no longer a feature) [458]
Berries Fed at Gyms: 4612 (+459.0%) [1639]
Hours Defended at Gyms: 3679 (+681.1%) [1202]
Raids Won: 64 (+128.6%) [35]

553 of my 555 Pokémon are fully healed. A Snorlax and a Tyranitar are currently fainted.

Strongest Pokémon

Tyranitar (CP 3591)
Snorlax (CP 3073)
Vaporeon (CP 3057)
Gyarados (CP 3041)
Gyarados (CP 3025)
Gyarados (CP 3016)

(Strongest Pokémon at Level 37)
Tyranitar (CP 3513)
Gyarados (CP 3016)
Gyarados (CP 3001)
Snorlax (CP 2980)
Vaporeon (CP 2945)
Vaporeon (CP 2788)

(Strongest Pokémon at last update, Level 36)
Gyarados (CP 2992)
Gyarados (CP 2955)
Vaporeon (CP 2901)
Vaporeon (CP 2788)
Vaporeon (CP 2650)
Golem (CP 2556)

Gym Data

Gyms with Most Victories:
Alchemist at MIT: 1282
Transparent Horizon: 690
Kresge Auditorium: 668
Cosmic Ray Chandeliers: 385
In Loving Memory of Dorothy P. Simmons: 335
Vine Wall Art At No 6: 277

Gyms with Most Hours Defended:
Kresge Auditorium: 677
Vine Wall Art At No 6: 610
Alchemist at MIT: 454
In Loving Memory of Dorothy P. Simmons: 233
Cosmic Ray Chandeliers: 198
This is Where We Live Work Create Mural: 193

Gyms with Most Berries Fed:
Alchemist at MIT: 1090
Kresge Auditorium: 770
Vine Wall Art At No 6: 517
Transparent Horizon: 443
Cosmic Ray Chandeliers: 253
Community of Cambridge Super Awesome Mural!: 220

Since the new gym system arrived 105 days, or 2520 hours, ago, I have been defending Kresge Auditorium 26.9% of the time and Vine Wall Art At No 6 24.2% of the time since the new gym system started. Also, since I’ve defended gyms for a total of 3679 hours, I was defending 1.46 gyms on average over this period of time.

Gold Gym Badges
(Day numbers are numbered from start of new gym system.)
Alchemist at MIT: acquired on Day 28
Transparent Horizon: acquired on Day 53
Kresge Auditorium: acquired on Day 54
Vine Wall Art At No 6: acquired on Day 82
In Loving Memory of Dorothy P. Simmons: acquired on Day 94
Cosmic Ray Chandeliers: acquired on Day 102

Offense vs. Defense in Gyms

gym_chart_38

Most Represented Pokémon by Total CP

cp_38

Pokémon Caught by Type
(Parentheticals in this section show change from last update, at the Level 36 level-up. For comparison, the XP change from the previous update is +60.0%, and the Pokémon caught change from the previous update is +42.9%.)
[Bracketed quantities are amounts upon Level 37 level-up.]
Normal: 14706 (+39.4%) [11932]
Flying: 11653 (+49.3%) [9135]
Bug: 3969 (+45.5%) [3138]
Poison: 3958 (+32.2%) [3328]
Water: 3059 (+47.2%) [2387]
Psychic: 2342 (+63.3%) [1782]
Dark: 710 (+105.8%) [434]
Ground: 554 (+42.8%) [451]
Electric: 550 (+48.6%) [451]
Fairy: 537 (+66.8%) [402]
Fire: 461 (+13.5%) [423]
Grass: 387 (+39.2%) [319]
Ghost: 333 (+27.1%) [282]
Steel: 282 (+58.4%) [221]
Rock: 260 (+23.8%) [225]
Ice: 171 (+36.8%) [152]
Fighting: 106 (+45.2%) [87]
Dragon: 26 (+23.8%) [22]

First-Evolution Pokémon Caught and Seen, by Species, Sorted by Rate of Catching
(Parentheticals in this section show change in rate of catching.)
(Gen. I Pokémon that are evolutions of Gen. II babies are included as separate statistics.)
Ditto: 154/154=100.0% (=)
Voltorb: 69/69=100.0% (=)
Remoraid: 63/63=100.0% (=)
Misdreavus: 49/49=100.0% (=)
Yanma: 19/19=100.0% (=)
Sneasel: 15/15=100.0% (=)
Smoochum: 12/12=100.0% (=)
Gligar: 11/11=100.0% (=)
Mantine: 11/11=100.0% (=)
Grimer: 9/9=100.0% (=)
Teddiursa: 9/9=100.0% (=)
Pineco: 8/8=100.0% (=)
Lickitung: 7/7=100.0% (=)
Mareep: 6/6=100.0% (=)
Tyrogue: 6/6=100.0% (=)
Hitmonlee: 4/4=100.0% (=)
Chansey: 4/4=100.0% (=)
Togepi: 4/4=100.0% (=)
Shuckle: 4/4=100.0% (=)
Stantler: 4/4=100.0% (=)
Magby: 4/4=100.0% (=)
Larvitar: 4/4=100.0% (=)
Pichu: 3/3=100.0% (=)
Igglybuff: 2/2=100.0% (=)
Miltank: 2/2=100.0% (=)
Elekid: 1/1=100.0% (=)
Machop: 65/66≈98.5% (+0.8%)
Slowpoke: 143/147≈97.3% (-0.8%)
Houndour: 31/32≈96.9% (+0.2%)
Magmar: 30/31≈96.8% (+0.6%)
Magikarp: 331/343≈96.5% (+0.6%)
Marill: 181/188≈96.3% (+0.1%)
Horsea: 179/186≈96.2% (+0.1%)
Koffing: 50/52≈96.2% (-1.6%)
Chinchou: 92/96≈95.8% (-0.4%)
Shellder: 269/281≈95.7% (=)
Exeggcute: 65/68≈95.6% (-0.8%)
Psyduck: 189/198≈95.4% (+1.2%)
Sandshrew: 20/21≈95.2% (+0.2%)
Dratini: 20/21≈95.2% (+1.1%)
Jigglypuff: 199/209≈95.2% (+0.7%)
Oddish: 59/62≈95.2% (-0.8%)
Eevee: 343/361≈95.0% (+0.6%)
Nidoran♀: 75/79≈94.9% (+0.8%)
Wooper: 147/155≈94.8% (+1.5%)
Nidoran♂: 91/96≈94.8% (+1.4%)
Seel: 71/75≈94.7% (-0.4%)
Magnemite: 244/259≈94.2% (-0.5%)
Omanyte: 32/34≈94.1% (+0.3%)
Rhyhorn: 47/50=94.0% (-1.3%)
Ledyba: 602/641≈93.9% (+0.6%)
Scyther: 43/46≈93.5% (-0.6%)
Venonat: 370/396≈93.4% (+0.7%)
Snubbull: 57/61≈93.4% (-3.6%)
Doduo: 14/15≈93.3% (+0.4%)
Totodile: 14/15≈93.3% (-6.7%)
Hoothoot: 757/812≈93.2% (-0.4%)
Drowzee: 205/220≈93.2% (+0.6%)
Poliwag: 190/204≈93.1% (+1.6%)
Growlithe: 81/87≈93.1% (-2.9%)
Spinarak: 774/834≈92.8% (+0.7%)
Cubone: 88/95≈92.6% (-0.9%)
Dunsparce: 12/13≈92.3% (-7.7%)
Geodude: 103/112≈92.0% (-1.5%)
Ponyta: 81/88≈92.0% (-0.4%)
Staryu: 203/221≈91.9% (+1.8%)
Natu: 1575/1716≈91.8% (+0.1%)
Bellsprout: 55/60≈91.7% (-1.5%)
Porygon: 11/12≈91.7% (+2.8%)
Sentret: 1359/1484≈91.6% (+1.1%)
Krabby: 313/342≈91.5% (+1.6%)
Diglett: 21/23≈91.3% (-2.5%)
Aipom: 95/104≈91.3% (+2.2%)
Meowth: 188/206≈91.3% (+0.2%)
Slugma: 31/34≈91.2% (-1.7%)
Zubat: 278/305≈91.1% (+1.0%)
Spearow: 1868/2062≈90.6% (+1.3%)
Goldeen: 182/201≈90.5% (+3.2%)
Electabuzz: 19/21≈90.5% (+1.0%)
Jynx: 64/71≈90.1% (+0.6%)
Wobbuffet: 9/10=90.0% (new)
Pidgey: 3923/4364≈89.9% (+1.6%)
Clefairy: 44/49≈89.8% (+0.3%)
Kabuto: 34/38≈89.5% (-2.2%)
Mankey: 17/19≈89.5% (+2.0%)
Rattata: 3346/3750≈89.2% (+1.1%)
Hoppip: 24/27≈88.9% (-1.1%)
Tangela: 8/9≈88.9% (+13.9%)
Girafarig: 8/9≈88.9% (+1.4%)
Phanpy: 8/9≈88.9% (+3.2%)
Ekans: 31/35≈88.6% (-1.4%)
Weedle: 1212/1383≈87.6% (+1.0%)
Caterpie: 209/239≈87.4% (+0.9%)
Pikachu: 62/71≈87.3% (+3.7%)
Charmander: 55/63≈87.3% (+0.6%)
Vulpix: 61/70≈87.1% (=)
Squirtle: 79/91≈86.8% (+2.2%)
Swinub: 44/51≈86.3% (+3.4%)
Gastly: 249/289≈86.2% (+0.4%)
Chikorita: 25/29≈86.2% (-1.3%)
Tentacool: 80/93≈86.0% (+1.9%)
Skarmory: 12/14≈85.7% (+25.7%)
Cyndaquil: 50/59≈84.7% (+4.7%)
Abra: 53/63≈84.1% (+0.4%)
Murkrow: 661/788≈83.9% (+0.6%)
Cleffa: 5/6≈83.3% (+8.3%)
Sudowoodo: 5/6≈83.3% (+8.3%)
Sunkern: 24/29≈82.8% (-8.5%)
Qwilfish: 9/11≈81.8% (-5.7%)
Paras: 51/63≈81.0% (+2.1%)
Tauros: 69/86≈80.2% (=)
Lapras: 3/4=75.0% (+8.3%)
Bulbasaur: 28/40=70.0% (-3.5%)
Pinsir: 9/13≈69.2% (+2.5%)
Aerodactyl: 2/3≈66.7% (=)
Snorlax: 2/3≈66.7% (+16.7%)
Onix: 9/15=60.0% (+2.9%)
Moltres: 1/2=50.0% (new)
Entei: 1/2=50.0% (new)
Zapdos: 2/6≈33.3% (new)
Articuno: 1/3≈33.3% (new)
Raikou: 2/9≈22.2% (new)
Lugia: 1/8≈12.5% (new)

Here’s a chart of progression of my catch rate over time for common Pokémon.

catch_rates_level38

First of Species Log
Day 0: Squirtle (starter)
Day 1: Spearow
Day 3: Drowzee
Day 8: Magikarp
[did not start logging when I got the first member of a species until Day 72]
Day 72: Charmeleon
Day 72: Arbok
Day 72: Raichu
Day 72: Persian
Day 72: Poliwrath
Day 72: Kadabra
Day 72: Machoke
Day 72: Rapidash
Day 72: Magneton
Day 72: Gengar
Day 72: Marowak
Day 72: Seadra
Day 72: Gyarados
Day 72: Kabutops
Day 75: Flareon
Day 76: Dragonite
Day 84: Lickitung
Day 85: Graveler
Day 88: Ditto
Day 93: Electrode
Day 94: Charizard
Day 95: Victreebel
Day 96: Nidoqueen
Day 96: Gloom
Day 98: Vulpix
Day 109: Nidoking
Day 114: Diglett
Day 126: Sandslash
Day 138: Ivysaur
Day 138: Blastoise
Day 141: Lapras
Day 143: Machamp
Day 153: Clefable
Day 171: Snorlax
Day 174: Swinub
Day 174: Hoothoot
Day 174: Murkrow
Day 174: Natu
Day 175: Sentret
Day 175: Ledyba
Day 175: Furret
Day 175: Spinarak
Day 176: Wooper
Day 176: Aipom
Day 177: Remoraid
Day 177: Elekid
Day 177: Marill
Day 177: Hoppip
Day 177: Cyndaquil
Day 178: Chinchou
Day 179: Teddiursa
Day 179: Pineco
Day 181: Ledian
Day 183: Sudowoodo
Day 183: Sneasel
Day 184: Skarmory
Day 185: Sunkern
Day 186: Quagsire
Day 187: Girafarig
Day 189: Arcanine
Day 189: Alakazam
Day 189: Golem
Day 189: Slowking
Day 189: Steelix
Day 189: Rhydon
Day 189: Kingdra
Day 189: Omastar
Day 189: Noctowl
Day 189: Ariados
Day 189: Xatu
Day 189: Azumarill
Day 189: Piloswine
Day 190: Misdreavus
Day 192: Gligar
Day 193: Crobat
Day 194: Larvitar
Day 194: Chikorita
Day 196: Qwilfish
Day 196: Slugma
Day 206: Miltank
Day 209: Smoochum
Day 210: Houndour
Day 211: Mantine
Day 223: Yanma
Day 228: Ninetales
Day 228: Dugtrio
Day 228: Politoed
Day 228: Exeggutor
Day 228: Scizor
Day 228: Lanturn
Day 228: Forretress
Day 228: Octillery
Day 228: Pupitar
Day 229: Pichu
Day 231: Phanpy
Day 231: Togepi
Day 232: Igglybuff
Day 233: Cleffa
Day 234: Magby
Day 235: Vileplume
Day 236: Dunsparce
Day 239: Aerodactyl
Day 244: Stantler
Day 253: Mareep
Day 253: Tangela
Day 254: Skiploom
Day 266: Snubbull
Day 266: Totodile
Day 274: Tyranitar
Day 282: Tyrogue
Day 299: Primeape
Day 299: Quilava
Day 299: Sunflora
Day 299: Magcargo
Day 299: Houndoom
Day 299: Typhlosion
Day 303: Croconaw
Day 305: Bellossom
Day 312: Bayleef
Day 319: Muk
Day 319: Donphan
Day 324: Blissey
Day 324: Porygon2
Day 324: Granbull
Day 329: Hitmontop
Day 331: Flaafy
Day 338: Articuno
Day 344: Moltres
Day 348: Zapdos
Day 349: Jumpluff
Day 363: Feraligatr
Day 370: Lugia
Day 378: Wobbuffet
Day 384: Raikou
Day 387: Meganium
Day 398: Togetic
Day 398: Ursaring
Day 399: Ampharos
Day 401: Entei

Current Contents of Storage Stats

My Pokémon are currently at 555/600.
My eggs are currently at 9/9.
My items are currently at 413/350, specifically:
1x Potion
4x Super Potion
39x Hyper Potion
56x Max Potion
9x Revive
159x Max Revive
42x Lucky Egg
1x Rare Candy
2x Great Ball
24x Ultra Ball
24x Razz Berry
1x Nanab Berry
3x Pinap Berry
38x Golden Razz Berry
Camera
Egg Incubator ∞
1x Sun Stone
4x King’s Rock
3x Metal Coat
3x Dragon Scale
1x Up-Grade

List of Notable Games of generals.io

This post is now a page, as of 72CL 10.07. Updates since that date will only manifest on the page, linked here.

Contents
1. Short 8-Player FFA Games
2. Long Endgames
3. Artificially Long Endgames
4. Wins Involving Capturing All 7 Other Players in 8-Player FFA
5. Wins after Long AFKs (or otherwise Periods of No Movement)
6. Wins after Really Close Calls
7. Games with Late First Capture
8. Short 1v1s
9. Long 1v1s
10. Short 2v2s
11. Hilariously Bad Spawns
12. THE MOST GLORIOUS GAME OF GENERALS.IO EVER

1. Short 8-Player FFA Games

90 turns, won by lambda_hat
98 turns, won by ThePainTrain
102 turns, won by TH
111 turns, won by aZ
112 turns, won by Dildo McTaint
115 turns, won by fakuku.
116 turns, won by sora
116 turns, won by moosery
119 turns, won by Sapphire
119 turns, won by lambda_hat
120 turns, won by trump (also in Wins Involving Capturing All 7 Other Players)
123 turns, won by 🐼The Panda🐼
123 turns, won by lambda_hat
125 turns, won by Plurmorant
126 turns, won by Sapphire
126 turns, won by 0xGG
131 turns, won by Plurmorant

109 turns, won by 0xGG against mostly bots

92 turns, won by ThePainTrain (though one opponent quit near capture)
101 turns, won by lambda_hat (though one opponent quit near capture)
116 turns, won by SNAKEBIRD V2 (though one opponent quit near capture)

2. Long Endgames

Gingah vs. zmpeg, turns 143 to 486 (also in Wins after Long AFKs)
hmm vs. george230 vs. The Tiger, turns 128 to 479
Anonymous vs. da Josh vs. Your Mother, turns 213 to 568 (also in Games of Incredible Luck)
さえもん vs. 0xGG vs. Marum, turns 107 to 491
thucydides vs. HeadPonchoNumUno, turns 206 to 603
aaaaaasadasd vs. uhoh, turns 311 to 715
Vermin Supreme vs. Anonymous, turns 135 to 559
Hell is no butter vs. さえもん vs. “sQs“, turns 149 to 633
mic49 vs. 0xGG, turns 199 to 671
ICTRAY vs. ikeboy, turns 346 to 832
JkjA vs. Tomagawka, turns 166 to 670
gingah vs. sk, turns 181 to 704
CornHELL Univ vs. Sudo vs. Archonn, turns 373 to 919
Suckit vs. JkjA, turns 121 to 721
pixiespirit vs. fabianmossberg, turns 270 to 881
A vs. qq45, turns 226 to 952
gino vs. james vs. vovanz, turns 173 to 924
minkus vs. Hi Chocolate, turns 225 to 1008
PetePuma vs. poofytoo, turns 183 to 1023
noe vs. Wuped, turns 221 to 1123
Dawgington vs. mobil_test, turns 224 to 1127
日本勢 vs. Moo, turns 224 to 1758

3. Artificially Long Endgames

708 turns
1056 turns
1070 turns
1802 turns
2621 turns (this game transcends artificially extended bizarreness quite a few ways)
2873 turns
3443 turns
5160 turns
5173 turns
11968 turns
38165 turns
43983 turns
84009 turns

4. Wins Involving Capturing All 7 Other Players in 8-Player FFA

Achieved by trump, in 120 turns (also in Short Games)
Achieved by ▬▬ι════════ﺤ, in 154 turns
Achieved by Scopitta, in 194 turns
Achieved by 0xGG, in 212 turns
Achieved by theunabletable, in 263 turns

Achieved by 0xGG, in 285 turns, though with three AFK players

Almost achieved by cheesee, last opponent quit on turn 163

5. Wins after Long AFKs (or otherwise Periods of No Movement)

Achieved by Poonslayer7, AFK turns 1 to 100
Achieved by ash, AFK turns 1 to 111 (keyboard unplugged)
Achieved by Chromebook Spoopy, AFK turns 1 to 112
Achieved by 0xGG, AFK turns 1 to 117 (browsing discord)
Achieved by Fen1kz, AFK turns 1 to 137 (browsing reddit)
Achieved by KingTrav2, AFK turns 1 to 169
Achieved by Twolkai, AFK turns 1 to 198
Achieved by fakuku., AFK turns 1 to 204
Achieved by 0xGG, AFK turns 112 to 334 (fire alarm)
Achieved by Gingah, AFK turns 180 to 410 (phone call) (also in Long Endgames)
Achieved by Turtleman, AFK turns 1 to 742

Not exactly AFK, but no expansion, by scott baio, turns 73 to 415

6. Wins after Really Close Calls

0xGG, in this game
AlphonseSantoro, in this game
Any Mouse, in this game
fakuku, in this game
Fen1kz, in this game
Scopitta, in this game
Stormhewer, in this game
Testing, in this game
Your Mother, in this game (also in Long Endgames)

See also: THE MOST GLORIOUS GAME OF GENERALS.IO EVER

Continue reading “List of Notable Games of generals.io”