#ditto dot net

[forcefedthelies]

i’ve mailed 3 clowns so far and i love my job. here’s the one i mailed this morning

[forcefedthelies]

do not forget about us.

[southsidestory]

PSA fic readers & writers

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[dittodotnet]

i did a big self portrait in this style but wasn’t comfortable sharing my face/what i look like so i made this out of just her face lol

[forcefedthelies]

maybe everything is gonna be okay

[pollylynn]

“What do you mean he’s with you?” —Javier Esposito, Probable Cause (5 x 05)

Title: Search and Rescue Rating: T WC: 1100

It’s somehow night again. One has passed in dark, frantic activity on the bridge, and the day has followed, swallowed up by the the things that need doing. Paperwork from an ADA who seems to think he got himself set up for a horrific murder by a psychopath specifically to cause her trouble. Ditto the ragged ends of the 3XK task force, who don’t believe any more than Beckett does that anyone could have survived the fall, yet they still seem to find him a convenient target for their resentment that they can’t definitively draw a line through Tyson’s name.

It’s all taken an unimaginable amount of time, but it’s night again. They’re parked beneath a streetlight in an unfamiliar car on loan from the precinct’s motor pool. They’re looking up at the lights blazing in the loft. They’re not looking at one another.

“It’s a weird favor to do,” he says, less to break the silence than because his filter seems even more broken than usual.

“Favor?” She turns to him with a puzzled look.



“Tyson’s . . . disappearing act.” He chooses his words carefully. He doesn’t have it in him to argue his point again. Not with her. “Took up a whole night, so I didn’t . . .”

“So you didn’t have to face going back,” she finishes quietly. “You don’t have to go back tonight if you don’t want to.”

“Are you inviting me for a sleepover, Detective?”

It’s not a leer. It’s not even an attempt at a leer, but it coaxes out the pale imitation of a smile from each of them. Hers fades first, though.

“They’ll do my place, too.”

It sounds like she’s apologizing. He nods quickly. He covers her her hand to let her know that he already knows. That he’s already thought of how wide a net Tyson cast. How deep into their lives his hooks were sunk without them realizing a thing.

“Your place. My place.” He stares at the roof of the loaner car, wondering about the drag lines in the cheap fabric. “Think we can buy something new in the middle of the night in Manhattan? I’ve got the money.” He lets his head loll toward her. “Or I will once my accounts aren’t frozen any more.”

“It’ll get better.” She turns her hand over to let her fingers slide between his. “It’ll be hard for a while, but it’s still home. It will still be home.”

“I know.” He squeezes her hand. He thinks about Maddox and before that Lockwood and before that Dunn. He knows she knows this kind of violation first hand already, and now here it is again—here’s Tyson—taking from her as much as it is from him. Souring things that should be private, wonderful, sacrosanct. “I know it will get better.”

He can feel the weight of her gaze on his profile. He knows she wants to tell him that at least it’s over. She wants him to believe that at least they’re done looking over their shoulders. He thinks he knows every last thing running through her mind, but she surprises him.

“It doesn’t have to get better tonight.” She shakes off his fingers and goes for her phone. She hesitates with her thumb over the screen. “Are you . . . how about we don’t go home right away?”

“Okay?” He looks at her confused. He’s not firing on all cylinders right now, and it honestly didn’t occur to him that they don’t have to go home—to anyone’s home with its fingerprint powder and everything out of order—right now. “Yeah. Okay.”

She calls Lanie as she pulls away from the curb. She speaks in low, curt sentences he can’t really follow, and he can just hear Lanie responding in kind. She drops the phone into the driver’s side door well. They’re silent as the car glides through the streets to pull up in front of the Old Haunt. She cuts the engine and turns to him with a worried frown. He catches her hand and dots her fingertips with a kiss.

“Good idea,” he murmurs.

She slips her arm around his waist as he comes around the car. He shoots her a surprised look at the unexpected PDA, but she holds fast as they make their way down the stairs and into the bar. She lets go and nudges him toward the back as she stops to confer with the bartender.

He claims one of the big, curved booths and slides around to the top of the U-shape. He hears a ruckus near the doors and sees Lanie and the boys flocking around her. They each grab a waiting beer. Kate grabs two, and they make their way back.

Lanie slips in next to him, bickering with Esposito as he jostles too close to her. Kate slides in on his other side and Ryan takes the end opposite his partner. There’s something awkward beneath the good-natured ribbing and talking over each other. His exhausted, struggling brain has just about grabbed a hold of it when Beckett’s voice cuts through the chatter.

“Guys,” she says sharply. Some stupid insult of Esposito’s bleeds into the moment. “Guys,” she says again. She looks nervous. She has a tight hold on her pint glass. “We . . . Castle and I are together.”

Esposito looks at her like she’s lost her mind. “Yeah, we—OW!”

There’s a record-scratch moment as the whole bar hears Lanie’s booted foot make solid contact with his shin under the table. Kate manages a glare at him and a smile at Lanie in one magnificent facial expression.


“We’re obviously not advertising it, but we wanted to tell you before—“ she falters for the first time. She lets the pint glass go and reaches for his hand. “Before you all found out some other way.”

The table dissolves into predictable chaos. There’s scolding from Lanie and backslapping from the boys. There’s shouting, swaggering insistence they each of them totally knew—each of them can tell with pinpoint accuracy exactly when it was inevitable, exactly when the two of them gave in to passion, as Ryan says with the absolute sincerity of three rounds in him.

It’s the moment they should have had, tipping their secret to their closest friends. It’s the moment that she’s stolen back for them, right out of Tyson’s cold dead-or-not-dead hands.

“Thank you,” he whispers, his voice not quite lost in the chaos. He kisses her cheek and smiles hard at the catcalls that rise up. She smiles hard, too.  “Thank you for making it better tonight.” A/N: Another overly long one; I almost ended this with just Caskett talking in the car, but I hate that their chosen family finds out about their relationship through Tyson—so, probably ill-advised fix-it fic.

images via homeofthenutty

[theliberaltony]

via Politics – FiveThirtyEight

The 2020 Democratic presidential candidates use Twitter like an earlier generation of politicians may have used a soapbox: to announce policy plans, solicit donations, marshal their supporters and criticize the current administration.

Each of these candidates is speaking to his or her own virtual village square. But how many people spend time in more than one village? How much overlap is there between, say, Elizabeth Warren’s audience and Bernie Sanders’s? And which candidates are most often associated with one another, based on their Twitter followers?

Twitter isn’t real life, of course; it’s an often-ridiculous short-burst social network that is decidedly not representative of the electorate at large. But it’s still a slice of life. The people following candidates on Twitter are those who want to receive a steady stream of information about at least part of the 2020 campaign. Understanding how that tribe operates can tell us something about an influential slice of the electorate.

So off our web-scraper went, dredging up every follower of the 20 Democratic presidential candidates who FiveThirtyEight considered “major” in early May, when we ran our script.1 The result was a data set with almost 20 million entries, which you can download on GitHub.

This data reveals the obvious, such as raw follower counts. It also reveals more subtle trends, such as which candidates’ followers are loyal, which cast a broad net, which seem to have a similar appeal and which apparently have nothing in common.

For starters, here are the candidates ranked by the share of their followers who don’t follow any other 2020 Democratic candidate.

Candidates whose followers are loyal only to them

Share of each 2020 candidate’s followers who don’t follow any other candidates

Account▲▼ FOLLOWERS▲▼ Exclusive FOLLOWERS▲▼ @marwilliamson 2,610,335

–

74.8%

–

–

@BernieSanders 9,254,423

–

63.2

–

–

@Hickenlooper 144,816

–

56.3

–

–

@CoryBooker 4,246,252

–

52.5

–

–

@JoeBiden 3,558,333

–

43.8

–

–

@AndrewYang 267,897

–

43.4

–

–

@TulsiGabbard 349,443

–

34.7

–

–

@BetoORourke 1,424,745

–

26.5

–

–

@amyklobuchar 692,985

–

24.0

–

–

@PeteButtigieg 1,033,834

–

23.7

–

–

@SenGillibrand 1,410,303

–

23.3

–

–

@KamalaHarris 2,640,072

–

22.3

–

–

@JulianCastro 212,582

–

21.4

–

–

@sethmoulton 138,450

–

20.1

–

–

@JayInslee 51,504

–

19.0

–

–

@ewarren 2,486,101

–

16.4

–

–

@TimRyan 20,080

–

15.6

–

–

@JohnDelaney 20,266

–

12.9

–

–

@MichaelBennet 21,053

–

11.7

–

–

@ericswalwell 84,415

–

9.2

–

–

Among candidates who were considered “major” by FiveThirtyEight as of May 8. Follower lists for each candidate’s primary accounts (according to a CSPAN Twitter list) were scraped from May 8-15, except for @Hickenlooper, which was scraped on June 6 to correct a coding error.

Almost three-quarters of the people who follow Marianne Williamson — a “spiritual and inspirational author, lecturer, non-profit activist,” per her Twitter bio — don’t follow any other Democratic candidate, putting them in a loyalty class all their own. Similarly, of the over 9 million people who follow Bernie Sanders, almost two-thirds follow no other candidate.

The 2.5 million people who follow Elizabeth Warren, on the other hand, are more gregarious — 84 percent of them follow at least one of her Democratic rivals. Ditto the 2.6 million people who follow Kamala Harris, 78 percent of whom also follow another candidate.

Digging a little deeper into the follower interaction information, we can find out, for example, which other candidates Warren’s followers are paying attention to. The Venn diagrams below try to answer that question, showing the overlap in followers between every candidate who had more than 500,000 followers in early May.

This chart reveals relatively large intersections between followers of Sanders and Warren, who share progressive policy platforms; between followers of Pete Buttigieg and Beto O’Rourke, who are both young, male and white; and between Harris and other major female candidates such as Warren, Kirsten Gillibrand and Amy Klobuchar.

Follower overlap patterns seem to share some similarities with Democrats’ vote preferences, too. Morning Consult has been tracking voters’ second-choice candidates, and according to the latest poll, respondents who planned to vote for Warren said their top backup choices were Harris and Sanders. Similarly, on Twitter, 60 percent of Warren’s followers also follow Sanders, and 37 percent each follow Harris and Biden — her largest overlap groups.

With some simple calculations, we can look past the sheer size of each Twitter overlap and get a sense for which pairs of candidates share some quality (ideology, Twitter skills, who knows) that makes them appeal to the same people. Theoretically, people could be following multiple presidential candidates at random, but that’s not how Twitter really works — if one account speaks to my interests, I’m likely to be interested in similar accounts.

To figure out which candidates are getting paired up more often than we’d expect based on chance alone, we rely on a number that data miners call “lift,” which is the ratio of how many followers a pair actually has to how many followers we’d expect them to have based solely on their individual Twitter popularity.2 For example, say we have 100 total Twitter users, and 50 of them follow Sanders while 10 of them follow Warren. If the reasons that a person followed Sanders had nothing to do with the reasons they followed Warren, we’d expect the overlap between the two to be five users. If it turns out that 10 users follow both Warren and Sanders, then we have a lift value of two (twice as many as expected), which means we can speculate that the two candidates share some quality that appeals to the same people. If only one user follows both, then we have a lift of 0.2 (one-fifth as many as expected), and we would suspect that there’s something about each candidate that drives away some people who follow the other candidate.

In the chart below, candidate pairs are organized by lift value, so those above the dotted line have more followers in common than you’d expect by chance while those below the line have fewer.

Some of the pairs that float above the line on this chart also stood out in the Venn diagrams, such as Harris and Warren, Harris and Gillibrand and O’Rourke and Buttigieg. O’Rourke and Julian Castro also have a relatively large overlap, perhaps because they’re both from Texas. The small dots at the very top capture overlaps that are tens of times larger than we’d expect to see if the candidates’ appeals to followers were unrelated. That’s probably because users who follow one lesser-known candidate such as Michael Bennet or John Delaney are likely to be highly engaged in the race and follow the other candidates as well. For example, the average Delaney follower also follows more than six other Democratic candidates.

The chart also reveals the candidate pairs who are not followed together. Williamson appears in most of these pairs, but the combination of Sanders and Booker also sinks to the bottom; their follower overlap is about half the size of what we’d expect given their individual popularity.

Twitter is just one front on which the fight for the Democratic nomination is being waged, but it does provide some insight into how candidates are using social media and who is listening. Democrats are, after all, looking for a candidate who can beat President Trump, who redefined how we view Silicon Valley’s little blue bird.

We want to hear how you’re using this data! If you find anything interesting, please let us know. Send your projects to @guswez or @ollie.

Dhrumil Mehta and Julia Wolfe contributed research.

[forcefedthelies]

sometimes my creativity is... unmatched

God Made Me an Animal

“Ask for what you want,” Ricky hisses, like it’s obvious. “And maybe I’ll give it to you.”

At the end of the day, that’s really what it boils down to, though. Justin has something he wants, and Ricky is the only person on earth who can give it to him.

HAPPY ANNIVERSARY TO THE FREAK SHIT DISCORD SERVER. HUGE PROPS TO @ao3userfeistycadavers FOR BEING THE ONLY REASON I FINISHED THIS BEFORE NEW YEARS

everything is tagged but pls pls don't read them I'm begging u give it a chance it's hot i swear it's only a little unhinged

[dittodotnet]

you look so good underneath me.

[forcefedthelies]

just got this pair in my backyard, they’re definitely domesticated and bonded. the white one is really small, maybe 1’6, and the red and grey one is about 3’6. i’m pretty sure the white one has pierrot in her, if anybody else can identify them i’d love the help!

[forcefedthelies]

my kinktober notes

Stumbles out of google docs covered in blood

[frost-lass]

This post will be very long, so I’ll put the majority of the content under “read more”

I want to explain how I've divided the Pokemon to each continent and why. On bulbapedia dot net, you can see the base-stats of each Pokemon. There are 6 stats (HP, Attack, Defence, Special Attack, Special Defence and Speed) and six continents. So I appointed each stat to one continent:

HP: South America

Attack: Asia

Defence: Europe

Special Attack: Oceania

Special Defence: North America

Speed: Africa

So each evolution-line appears in 3 continents; associated by their 3 highest base stats. As an example, a Squirtle's 3 highest stats are, in order: Defence, Special Defence and Special Attack. That means Squirtle would appear in Europe, North America and Oceania. A Squirtle living in the wild on one of the other continents would be extremely rare.

Legendary and mythical Pokemon are only put into one continent, with their highest base-stat deciding which one, and also more specifically only resides in one country. The country the legendary/mythical Pokemon can be found in will be mentioned between ellipses, "( )".

As for which country each legendary/mythical Pokemon appear in, I've chosen countries that are the least densely populated compaired to land mass/size, as such Pokemon are almost always described to prefer living away from humans.

For the few Pokemon that has more than one base-stat be an equal number (Attack+Defence being equally high, for an example), has been placed in the continent which lacks more Pokemon, so as to even out the amount of Pokemon appearing in each continent.

Please do not be discouraged if your favourite Pokemon don't appear in your continent. This is only for fun and speculations!

South America

1. Caterpie 2. Metapod 3. Butterfree 4. Weedle 5. Kakuna 6. Beedrill 7. Pidgey 8. Pidgeotto 9. Pidgeot 10. Spearow 11. Fearow 12. Sandshrew 13. Sandslash 14. Nidoran♀ 15. Nidorina 16. Nidoqueen 17. Nidoran♂ 18. Nidorino 19. Nidoking 20. Cleffa 21. Clefairy 22. Clefable 23. Igglybuff 24. Jigglypuff 25. Wigglytuff 26. Venonat 27. Venomoth 28. Machop 29. Machoke 30. Machamp 31. Bellsprout 32. Weepinbell 33. Victreebel 34. Geodude 35. Graveler 36. Golem 37. Slowpoke 38. Slowbro 39. Slowking 40. Seel 41. Dewgong 42. Grimer 43. Muk 44. Drowzee 45. Hypno 46. Exeggcute 47. Exeggutor 48. Cubone 49. Marowak 50. Tyrogue 51. Hitmonlee 52. Hitmonchan 53. Hitmontop 54. Lickitung 55. Lickilicky 56. Rhyhorn 57. Rhydon 58. Rhyperior 59. Happiny 60. Chansey 61. Blissey 62. Tangela 63. Tangrowth 64. Kangaskhan 65. Magikarp 66. Gyarados 67. Lapras 68. Ditto 69. Eevee 70. Aerodactyl 71. Munchlax 72. Snorlax 73. Mew (Falkland Islands) 74. Totodile 75. Croconaw 76. Feraligatr 77. Sentret 78. Furret 79. Hoothoot 80. Noctowl 81. Ledyba 82. Ledian 83. Spinarak 84. Ariados 85. Chinchou 86. Lanturn 87. Mareep 88. Flaaffy 89. Ampharos 90. Azurill 91. Marill 92. Azumarill 93. Bonsly 94. Sudowoodo 95. Aipom 96. Ambipom 97. Sunkern 98. Sunflora 99. Yanma 100. Yanmega 101. Wooper 102. Quagsire 103. Unown 104. Wynaut 105. Wobbuffet 106. Pineco 107. Forretress 108. Dunsparce 109. Snubbull 110. Granbull 111. Shuckle 112. Teddiursa 113. Ursaring 114. Slugma 115. Magcargo 116. Swinub 117. Piloswine 118. Mamoswine 119. Phanpy 120. Donphan 121. Smeargle 122. Entei (Suriname) 123. Celebi (Guyana) 124. Mudkip 125. Marshtomp 126. Swampert 127. Poochyena 128. Mightyena 129. Wurmple 130. Silcoon 131. Cascoon 132. Beautifly 133. Dustox 134. Lotad 135. Lombre 136. Ludicolo 137. Seedot 138. Nuzleaf 139. Shiftry 140. Taillow 141. Swellow 142. Wingull 143. Pelipper 144. Shroomish 145. Breloom 146. Slakoth 147. Vigoroth 148. Slaking 149. Whismur 150. Loudred 151. Exploud 152. Makuhita 153. Hariyama 154. Skitty 155. Delcatty 156. Aron 157. Lairon 158. Aggron 159. Gulpin 160. Swalot 161. Wailmer 162. Wailord 163. Numel 164. Camerupt 165. Cacnea 166. Cacturne 167. Zangoose 168. Seviper 169. Lunatone 170. Barboach 171. Whiscash 172. Lileep 173. Cradily 174. Feebas 175. Milotic 176. Castform 177. Tropius 178. Snorunt 179. Glalie 180. Froslass 181. Spheal 182. Sealeo 183. Walrein 184. Relicanth 185. Jirachi (Bolivia) 186. Turtwig 187. Grotle 188. Torterra 189. Piplup 190. Prinplup 191. Empoleon 192. Starly 193. Staravia 194. Staraptor 195. Bidoof 196. Bibarel 197. Kricketot 198. Kricketune 199. Shinx 200. Luxio 201. Luxray 202. Cranidos 203. Rampardos 204. Burmy 205. Wormadam 206. Mothim 207. Cherubi 208. Cherrim 209. Shellos 210. Gastrodon 211. Drifloon 212. Drifblim 213. Glameow 214. Purugly 215. Stunky 216. Skuntank 217. Bronzor 218. Bronzong 219. Chatot 220. Gible 221. Gabite 222. Garchomp 223. Hippopotas 224. Hippowdon 225. Carnivine 226. Giratina (Argentina) 227. Tepig 228. Pignite 229. Emboar 230. Oshawott 231. Dewott 232. Samurott 233. Patrat 234. Watchog 235. Munna 236. Musharna 237. Pidove 238. Tranquill 239. Unfezant 240. Roggenrola 241. Boldore 242. Gigalith 243. Woobat 244. Swoobat 245. Drilbur 246. Excadrill 247. Audino 248. Timburr 249. Gurdurr 250. Conkeldurr 251. Tympole 252. Palpitoad 253. Seismitoad 254. Throh 255. Sandile 256. Krokorok 257. Krookodile 258. Darumaka 259. Darmanitan 260. Maractus 261. Tirtouga 262. Carracosta 263. Minccino 264. Cinccino 265. Solosis 266. Duosion 267. Reuniclus 268. Ducklett 269. Swanna 270. Deerling 271. Sawsbuck 272. Karrablast 273. Escavalier 274. Foongus 275. Amoonguss 276. Frillish 277. Jellicent 278. Alomomola 279. Cubchoo 280. Beartic 281. Shelmet 282. Accelgor 283. Stunfisk 284. Golett 285. Golurk 286. Bouffalant 287. Rufflet 288. Braviary 289. Vullaby 290. Mandibuzz 291. Heatmor 292. Deino 293. Zweilous 294. Hydreigon 295. Chespin 296. Quilladin 297. Chesnaught 298. Bunnelby 299. Diggersby 300. Fletchling 301. Fletchinder 302. Talonflame 303. Scatterbug 304. Spewpa 305. Vivillon 306. Litleo 307. Pyroar 308. Flabébé 309. Floette 310. Florges 311. Skiddo 312. Gogoat 313. Pancham 314. Pangoro 315. Espurr 316. Meowstic 317. Honedge 318. Doublade 319. Aegislash 320. Spritzee 321. Aromatisse 322. Swirlix 321. Slurpuff 322. Inkay 323. Malamar 324. Helioptile 325. Heliolisk 326. Tyrunt 327. Tyrantrum 328. Amaura 329. Aurorus 330. Hawlucha 331. Bergmite 332. Avalugg 333. Rowlet 334. Dartrix 335. Decidueye 336. Pikipek 337. Trumbeak 338. Toucannon 339. Yungoos 340. Gumshoos 341. Grubbin 342. Charjabug 343. Vikavolt 344. Oricorio 345. Rockruff 346. Lycanroc 347. Mudbray 348. Mudsdale 349. Fomantis 350. Lurantis 351. Salandit 352. Salazzle 353. Stufful 354. Bewear 355. Bounsweet 356. Steenee 357. Tsareena 358. Oranguru 359. Passimian 360. Sandygast 361. Palossand 362. Cosmog (Paraguay) 363. Solgaleo 364. Lunala 365. Scorbunny 366. Raboot 367. Cinderace 368. Sobble 369. Drizzile 370. Inteleon 371. Skwovet 372. Greedent 373. Rookidee 374. Corvisquire 375. Corviknight 376. Chewtle 377. Drednaw 378. Yamper 379. Boltund 380. Silicobra 381. Sandaconda 382. Arrokuda 383. Barraskewda 384. Toxel 385. Toxtricity 386. Impidimp 387. Morgrem 388. Grimmsnarl 389. Milcery 390. Alcremie 391. Stonjourner 392. Cufant 393. Copperajah 394. Regidrago (Uruguay) 395. Calyrex (Brazil) 396. Glastrier 397. Spectrier

Asia 1. Charmander 2. Charmeleon 3. Charizard 4. Weedle 5. Kakuna 6. Beedrill 7. Pidgey 8. Pidgeotto 9. Pidgeot 10. Rattata 11. Raticate 12. Spearow 13. Fearow 14. Ekans 15. Arbok 16. Pichu 17. Pikachu 18. Raichu 19. Sandshrew 20. Sandslash 21. Nidoran♀ 22. Nidorina 23. Nidoqueen 24. Nidoran♂ 25. Nidorino 26. Nidoking 27. Igglybuff 28. Jigglypuff 29. Wigglytuff 30. Zubat 31. Golbat 32. Crobat 33. Paras 34. Parasect 35. Venonat 36. Venomoth 37. Diglett 38. Dugtrio 39. Meowth 40. Persian 41. Perrserker 42. Psyduck 43. Golduck 44. Mankey 45. Primeape 46. Growlithe 47. Arcanine 48. Poliwag 49. Poliwhirl 50. Poliwrath 51. Politoed 52. Machop 53. Machoke 54. Machamp 55. Bellsprout 56. Weepinbell 57. Victreebel 58. Geodude 59. Graveler 60. Golem 61. Ponyta 62. Rapidash 63. Slowpoke 64. Slowbro 65. Slowking 66. Farfetch'd 67. Sirfetch'd 68. Doduo 69. Dodrio 70. Grimer 71. Muk 72. Shellder 73. Cloyster 74. Drowzee 75. Hypno 76. Krabby 77. Kingler 78. Koffing 79. Weezing 80. Rhyhorn 81. Rhydon 82. Rhyperior 83. Kangaskhan 84. Goldeen 85. Seaking 86. Scyther 87. Scizor 88. Elekid 89. Electabuzz 90. Electivire 91. Magby 92. Magmar 93. Magmortar 94. Pinsir 95. Tauros 96. Miltank 97. Ditto 98. Eevee 99. Kabuto 100. Kabutops 101. Aerodactyl 102. Munchlax 103. Snorlax 104. Moltres (Mongolia) 105. Dratini 106. Dragonair 107. Dragonite 108. Cyndaquil 109. Quilava 110. Typhlosion 111. Totodile 112. Croconaw 113. Feraligatr 114. Sentret 115. Furret 116. Spinarak 117. Ariados 118. Natu 119. Xatu 120. Bonsly 121. Sudowoodo 122. Aipom 123. Ambipom 124. Wooper 125. Quagsire 126. Murkrow 127. Honchkrow 128. Unown 129. Girafarig 130. Pineco 131. Forretress 132. Dunsparce 133. Snubbull 134. Granbull 135. Qwilfish 136. Heracross 137. Sneasel 138. Weavile 139. Teddiursa 140. Ursaring 141. Swinub 142. Piloswine 143. Mamoswine 144. Remoraid 145. Octillery 146. Delibird 147. Skarmory 148. Houndour 149. Houndoom 150. Phanpy 151. Donphan 152. Stantler 153. Larvitar 154. Pupitar 155. Tyranitar 156. Torchic 157. Combusken 158. Blaziken 159. Mudkip 160. Marshtomp 161. Swampert 162. Poochyena 163. Mightyena 164. Wurmple 165. Silcoon 166. Cascoon 167. Beautifly 168. Dustox 169. Seedot 170. Nuzleaf 171. Shiftry 172. Taillow 173. Swellow 174. Slakoth 175. Vigoroth 176. Slaking 177. Nincada 178. Ninjask 179. Shedinja 180. Whismur 181. Loudred 182. Exploud 183. Makuhita 184. Hariyama 185. Sableye 186. Mawile 187. Aron 188. Lairon 189. Aggron 190. Electrike 191. Manectric 192. Volbeat 193. Illumise 194. Carvanha 195. Sharpedo 196. Wailmer 197. Wailord 198. Numel 199. Camerupt 200. Torkoal 201. Trapinch 202. Vibrava 203. Flygon 204. Cacnea 205. Cacturne 206. Zangoose 207. Seviper 208. Solrock 209. Barboach 210. Whiscash 211. Corphish 212. Crawdaunt 213. Anorith 214. Armaldo 215. Kecleon 216. Shuppet 217. Banette 218. Duskull 219. Dusclops 220. Dusknoir 221. Absol 222. Clamperl 223. Huntail 224. Gorebyss 225. Relicanth 226. Luvdisc 227. Bagon 228. Shelgon 229. Salamence 230. Beldum 231. Metang 232. Metagross 233. Groudon (Kazakhstan) 234. Turtwig 235. Grotle 236. Torterra 237. Chimchar 238. Monferno 239. Infernape 240. Starly 241. Staravia 242. Staraptor 243. Bidoof 244. Bibarel 245. Shinx 246. Luxio 247. Luxray 248. Cranidos 249. Rampardos 250. Buizel 251. Floatzel 252. Buneary 253. Lopunny 254. Glameow 255. Purugly 256. Stunky 257. Skuntank 258. Gible 259. Gabite 260. Garchomp 261. Riolu 262. Lucario 263. Hippopotas 264. Hippowdon 265. Croagunk 266. Toxicroak 267. Carnivine 268. Snover 269. Abomasnow 270. Gligar 271. Gliscor 272. Azelf (Turkmenistan) 273. Regigigas (Saudi Arabia) 274. Tepig 275. Pignite 276. Emboar 277. Oshawott 278. Dewott 279. Samurott 280. Patrat 281. Watchog 282. Lillipup 283. Herdier 284. Stoutland 285. Purrloin 286. Liepard 287. Pansage 288. Simisage 289. Pansear 290. Simisear 291. Panpour 292. Simipour 293. Pidove 294. Tranquill 295. Unfezant 296. Blitzle 297. Zebstrika 298. Roggenrola 299. Boldore 300. Gigalith 301. Drilbur 302. Excadrill 303. Timburr 304. Gurdurr 305. Conkeldurr 306. Throh 307. Sawk 308. Sewaddle 309. Swadloon 310. Leavanny 311. Venipede 312. Whirlipede 313. Scolipede 314. Basculin 315. Sandile 316. Krokorok 317. Krookodile 318. Darumaka 319. Darmanitan 320. Maractus 321. Dwebble 322. Crustle 323. Scraggy 324. Scrafty 325. Yamask 326. Cofagrigus 327. Runerigus 328. Tirtouga 329. Carracosta 330. Archen 331. Archeops 332. Zorua 333. Zoroark 334. Minccino 335. Cinccino 336. Deerling 337. Sawsbuck 338. Emolga 339. Karrablast 340. Escavalier 341. Alomomola 342. Ferroseed 343. Ferrothorn 344. Klink 345. Klang 346. Klinklang 347. Tynamo 348. Eelektrik 349. Eelektross 350. Axew 351. Fraxure 352. Haxorus 353. Cubchoo 354. Beartic 355. Mienfoo 356. Mienshao 357. Druddigon 358. Golett 359. Golurk 360. Pawniard 361. Bisharp 362. Bouffalant 363. Rufflet 364. Braviary 365. Heatmor 366. Durant 367. Deino 368. Zweilous 369. Hydreigon 370. Larvesta 371. Volcarona 372. Terrakion (Oman) 373. Zekrom (Bhutan) 374. Landorus (Laos) 375. Chespin 376. Quilladin 377. Chesnaught 378. Froakie 379. Frogadier 380. Greninja 381. Fletchling 382. Fletchinder 383. Talonflame 384. Skiddo 385. Gogoat 386. Pancham 387. Pangoro 388. Furfrou 389. Honedge 390. Doublade 391. Aegislash 392. Inkay 393. Malamar 394. Binacle 395. Barbaracle 396. Skrelp 397. Dragalge 398. Tyrunt 399. Tyrantrum 400. Hawlucha 401. Goomy 402. Sliggoo 403. Goodra 404. Phantump 405. Trevenant 406. Pumpkaboo 407. Gourgeist 408. Bergmite 409. Avalugg 410. Rowlet 411. Dartrix 412. Decidueye 413. Litten 414. Torracat 415. Incineroar 416. Pikipek 417. Trumbeak 418. Toucannon 419. Yungoos 420. Gumshoos 421. Grubbin 422. Charjabug 423. Vikavolt 424. Crabrawler 425. Crabominable 426. Cutiefly 427. Ribombee 428. Rockruff 429. Lycanroc 430. Wishiwashi 431. Mareanie 432. Toxapex 433. Mudbray 434. Mudsdale 435. Fomantis 436. Lurantis 437. Stufful 438. Bewear 439. Passimian 440. Wimpod 441. Golisopod 442. Pyukumuku 443. Minior 444. Komala 445. Togedemaru 446. Mimikyu 447. Bruxish 448. Dhelmise 449. Jangmo-o 450. Hakamo-o 451. Kommo-o 452. Tapu Bulu (Kyrgyzstan) 453. Grookey 454. Thwackey 455. Rillaboom 456. Scorbunny 457. Raboot 458. Cinderace 459. Skwovet 460. Greedent 461. Rookidee 462. Corvisquire 463. Corviknight 464. Chewtle 465. Drednaw 466. Silicobra 467. Sandaconda 468. Arrokuda 469. Barraskewda 470. Sizzlipede 471. Centiskorch 472. Clobbopus 473. Grapploct 474. Falinks 475. Pincurchin 476. Stonjourner 477. Eiscue 478. Morpeko 479. Cufant 480. Copperajah 481. Duraludon 482. Dreepy 483. Drakloak 484. Dragapult 485. Kubfu (Iran) 486. Urshifu 487. Zarude (Yemen)

Europe 1. Bulbasaur 2. Ivysaur 3. Venusaur 4. Squirtle 5. Wartortle 6. Blastoise 7. Caterpie 8. Metapod 9. Butterfree 10. Sandshrew 11. Sandslash 12. Nidoran♀ 13. Nidorina 14. Nidoqueen 15. Nidoran♂ 16. Nidorino 17. Nidoking 18. Oddish 19. Gloom 20. Vileplume 21. Bellossom 22. Paras 23. Parasect 24. Poliwag 25. Poliwhirl 26. Poliwrath 27. Politoed 28. Machop 29. Machoke 30. Machamp 31. Geodude 32. Graveler 33. Golem 34. Slowpoke 35. Slowbro 36. Slowking 37. Magnemite 38. Magneton 39. Magnezone 40. Doduo 41. Dodrio 42. Seel 43. Dewgong 44. Grimer 45. Muk 46. Shellder 47. Cloyster 48. Onix 49. Steelix 50. Krabby 51. Kingler 52. Exeggcute 53. Exeggutor 54. Cubone 55. Marowak 56. Lickitung 57. Lickilicky 58. Koffing 59. Weezing 60. Rhyhorn 61. Rhydon 62. Rhyperior 63. Tangela 64. Tangrowth 65. Horsea 66. Seadra 67. Kingdra 68. Goldeen 69. Seaking 70. Pinsir 71. Tauros 72. Miltank 73. Magikarp 74. Gyarados 75. Ditto 76. Eevee 77. Porygon 78. Porygon2 79. Porygon-Z 80. Omanyte 81. Omastar 82. Kabuto 83. Kabutops 84. Chikorita 85. Bayleef 86. Meganium 87. Totodile 88. Croconaw 89. Feraligatr 90. Spinarak 91. Ariados 92. Togepi 93. Togetic 94. Togekiss 95. Azurill 96. Marill 97. Azumarill 98. Bonsly 99. Sudowoodo 100. Hoppip 101. Skiploom 102. Jumpluff 103. Sunkern 104. Sunflora 105. Wooper 106. Quagsire 107. Wynaut 108. Wobbuffet 109. Pineco 110. Forretress 111. Dunsparce 112. Gligar 113. Gliscor 114. Snubbull 115. Granbull 116. Qwilfish 117. Shuckle 118. Corsola 119. Cursola 120. Mantyke 121. Mantine 122. Skarmory 123. Phanpy 124. Donphan 125. Suicune (Greenland) 126. Larvitar 127. Pupitar 128. Tyranitar 129. Mudkip 130. Marshtomp 131. Swampert 132. Poochyena 133. Mightyena 134. Zigzagoon 135. Linoone 136. Obstagoon 137. Wurmple 138. Silcoon 139. Cascoon 140. Beautifly 141. Dustox 142. Seedot 143. Nuzleaf 144. Shiftry 145. Shroomish 146. Breloom 147. Slakoth 148. Vigoroth 149. Slaking 150. Nincada 151. Ninjask 152. Shedinja 153. Nosepass 154. Probopass 155. Skitty 156. Delcatty 157. Sableye 158. Mawile 159. Aron 160. Lairon 161. Aggron 162. Meditite 163. Medicham 164. Gulpin 165. Swalot 166. Torkoal 167. Spinda 168. Trapinch 169. Vibrana 170. Flygon 171. Swablu 172. Altaria 173. Solrock 174. Corphish 175. Crawdaunt 176. Baltoy 177. Claydol 178. Lileep 179. Cradily 180. Castform 181. Kecleon 182. Duskull 183. Dusclops 184. Dusknoir 185. Tropius 186. Chingling 187. Chimecho 188. Spheal 189. Sealeo 190. Walrein 191. Clamperl 192. Huntail 193. Gorebyss 194. Relicanth 195. Bagon 196. Shelgon 197. Salamence 198. Beldum 199. Metang 200. Metagross 201. Regirock (Iceland) 202. Turtwig 203. Grotle 204. Torterra 205. Kricketot 206. Kricketune 207. Shieldon 208. Bastiodon 209. Burmy 210. Wormadam 211. Mothim 212. Combee 213. Vespiquen 214. Pachirisu 215. Chingling 216. Chimecho 217. Bronzor 218. Bronzong 219. Spiritomb 220. Gible 221. Gabite 222. Garchomp 223. Hippopotas 224. Hippowdon 225. Skorupi 226. Drapion 227. Finneon 228. Lumineon 229. Rotom 230. Snivy 231. Servine 232. Serperior 233. Lillipup 234. Herdier 235. Stoutland 236. Pidove 237. Tranquill 238. Unfezant 239. Roggenrola 240. Boldore 241. Gigalith 242. Audino 243. Timburr 244. Gurdurr 245. Conkeldurr 246. Sewaddle 247. Swadloon 248. Leavanny 249. Venipede 250. Whirlipede 251. Scolipede 252. Cottonee 253. Whimsicott 254. Petilil 255. Lilligant 256. Dwebble 257. Crustle 258. Scraggy 259. Scrafty 260. Yamask 261. Cofagrigus 262. Runerigus 263. Tirtouga 264. Carracosta 265. Trubbish 266. Garbodor 267. Gothita 268. Gothorita 269. Gothitelle 270. Vanillite 271. Vanillish 272. Vanilluxe 273. Alomomola 274. Ferroseed 275. Ferrothorn 276. Klink 277. Klang 278. Klinklang 279. Elgyem 280. Beheeyem 281. Litwick 282. Lampent 283. Chandelure 284. Axew 285. Fraxure 286. Haxorus 287. Shelmet 288. Accelgor 289. Stunfisk 290. Druddigon 291. Pawniard 292. Bisharp 293. Vullaby 294. Mandibuzz 295. Durant 296. Cobalion (Russia) 297. Chespin 298. Quilladin 299. Chesnaught 300. Bunnelby 301. Diggersby 302. Scatterbug 303. Spewpa 304. Vivillon 305. Pancham 306. Pangoro 307. Honedge 308. Doublade 309. Aegislash 310. Swirlix 311. Slurpuff 312. Inkay 313. Malamar 314. Binacle 315. Barbaracle 316. Skrelp 317. Dragalge 318. Clauncher 319. Clawitzer 320. Tyrunt 321. Tyrantrum 322. Carbink 323. Klefki 324. Pumpkaboo 325. Gourgeist 326. Bergmite 327. Avalugg 328. Zygarde (Norway) 329. Rowlet 330. Dartrix 331. Decidueye 332. Popplio 333. Brionne 334. Primarina 335. Crabrawler 336. Crabominable 337. Mareanie 338. Toxapex 339. Mudbray 340. Mudsdale 341. Dewpider 342. Araquanid 343. Morelull 344. Shiinotic 345. Bounsweet 346. Steenee 347. Tsareena 348. Comfey 349. Passimian 350. Wimpod 351. Golisopod 352. Sandygast 353. Palossand 354. Pyukumuku 355. Turtonator 356. Drampa 357. Dhelmise 358. Jangmo-o 359. Hakamo-o 360. Kommo-o 361. Meltan (Finland) 362. Melmetal 363. Grookey 364. Thwackey 365. Rillaboom 366. Skwovet 367. Greedent 368. Gossifleur 369. Eldegoss 370. Wooloo 371. Dubwool 372. Chewtle 373. Drednaw 374. Yamper 375. Boltund 376. Rolycoly 377. Carkol 378. Coalossal 379. Applin 380. Flapple 381. Appletun 382. Silicobra 383. Sandaconda 384. Clobbopus 385. Grapploct 386. Hatenna 387. Hattrem 388. Hatterene 389. Falinks 390. Pincurchin 391. Snom 392. Frosmoth 393. Stonjourner 394. Eiscue 395. Fossil Quartet (Dracozolt - Arctozolt - Dracovish - Arctovish) 396. Duraludon

Oceania 1. Bulbasaur 2. Ivysaur 3. Venusaur 4. Squirtle 5. Wartortle 6. Blastoise 7. Rattata 8. Raticate 9. Ekans 10. Arbok 11. Cleffa 12. Clefairy 13. Clefable 14. Vulpix 15. Ninetales 16. Zubat 17. Golbat 18. Crobat 19. Oddish 20. Gloom 21. Vileplume 22. Bellossom 23. Paras 24. Parasect 25. Venonat 26. Venomoth 27. Diglett 28. Dugtrio 29. Mankey 30. Primeape 31. Abra 32. Kadabra 33. Alakazam 34. Tentacool 35. Tentacruel 36. Ponyta 37. Rapidash 38. Magnemite 39. Magneton 40. Magnezone 41. Farfetch'd 42. Sirfetch'd 43. Seel 44. Dewgong 45. Gastly 46. Haunter 47. Gengar 48. Onix 49. Steelix 50. Drowzee 51. Hypno 52. Voltorb 53. Electrode 54. Cubone 55. Marowak 56. Tyrogue 57. Hitmonlee 58. Hitmonchan 59. Hitmontop 60. Lickitung 61. Lickilicky 62. Happiny 63. Chansey 64. Blissey 65. Staryu 66. Starmie 67. Mime Jr. 68. Mr. Mime 69. Mr. Rime 70. Scyther 71. Scizor 72. Smoochum 73. Jynx 74. Lapras 75. Ditto 76. Eevee 77. Porygon 78. Porygon2 79. Porygon-Z 80. Omanyte 81. Omastar 82. Munchlax 83. Snorlax 84. Articuno (Australia) 85. Dratini 86. Dragonair 87. Dragonite 88. Chikorita 89. Bayleef 90. Meganium 91. Sentret 92. Furret 93. Hoothoot 94. Noctowl 95. Ledyba 96. Ledian 97. Togepi 98. Togetic 99. Togekiss 100. Mareep 101. Flaaffy 102. Ampharos 103. Azurill 104. Marill 105. Azumarill 106. Hoppip 107. Skiploom 108. Jumpluff 109. Misdreavus 110. Mismagius 111. Wynaut 112. Wobbuffet 113. Shuckle 114. Heracross 115. Sneasel 116. Weavile 117. Slugma 118. Magcargo 119. Corsola 120. Cursola 121. Mantyke 122. Mantine 123. Skarmory 124. Smeargle 125. Larvitar 126. Pupitar 127. Tyranitar 128. Lugia (Niue) 129. Ho-Oh (New Zealand) 130. Treecko 131. Grovyle 132. Sceptile 133. Torchic 134. Combusken 135. Blaziken 136. Zigzagoon 137. Linoone 138. Obstagoon 139. Lotad 140. Lombre 141. Ludicolo 142. Ralts 143. Kirlia 144. Gardevoir 145. Gallade 146. Surskit 147. Masquerain 148. Shroomish 149. Breloom 150. Makuhita 151. Hariyama 152. Nosepass 153. Probopass 154. Mawile 155. Meditite 156. Medicham 157. Plusle 158. Minun 159. Volbeat 160. Illumise 161. Budew 162. Roselia 163. Roserade 164. Gulpin 165. Swalot 166. Spoink 167. Grumpig 168. Spinda 169. Trapinch 170. Vibrava 171. Flygon 172. Swablu 173. Altaria 174. Lunatone 175. Baltoy 176. Claydol 177. Lileep 178. Cradily 179. Anorith 180. Armaldo 181. Feebas 182. Milotic 183. Kecleon 184. Duskull 185. Dusclops 186. Dusknoir 187. Tropius 188. Chingling 189. Chimecho 190. Luvdisc 191. Beldum 192. Metang 193. Metagross 194. Regice (Papua New Guinea) 195. Registeel (Vanuatu) 196. Latias (Palau) 197. Piplup 198. Prinplup 199. Empoleon 200. Bidoof 201. Bibarel 202. Kricketot 203. Kricketune 204. Shieldon 205. Bastiodon 206. Burmy 207. Wormadam 208. Mothim 209. Combee 210. Vespiquen 211. Pachirisu 212. Cherubi 213. Cherrim 214. Shellos 215. Gastrodon 216. Buneary 217. Lopunny 218. Bronzor 219. Bronzong 220. Spiritomb 221. Riolu 222. Lucario 223. Skorupi 224. Drapion 225. Finneon 226. Lumineon 227. Snover 228. Abomasnow 229. Uxie (Fiji) 230. Cresselia (Samoa) 231. Snivy 232. Servine 233. Serperior 234. Munna 235. Musharna 236. Audino 237. Throh 238. Sawk 239. Sewaddle 240. Swadloon 241. Leavanny 242. Cottonee 243. Whimsicott 244. Petilil 245. Lilligant 246. Scraggy 247. Scrafty 248. Sigilyph 249. Yamask 250. Cofagrigus 251. Runerigus 252. Trubbish 253. Garbodor 254. Gothita 255. Gothorita 256. Gothitelle 257. Solosis 258. Duosion 259. Reuniclus 260. Ducklett 261. Swanna 262. Vanillite 263. Vanillish 264. Vanilluxe 265. Foongus 266. Amoonguss 267. Frillish 268. Jellicent 269. Joltik 270. Galvantula 271. Ferroseed 272. Ferrothorn 273. Klink 274. Klang 275. Klinkang 276. Elgyem 277. Beheeyem 278. Litwick 279. Lampent 280. Chandelure 281. Cryogonal 282. Shelmet 283. Accelgor 284. Stunfisk 285. Druddigon 286. Golett 287. Golurk 288. Bouffalant 289. Vullaby 290. Mandibuzz 291. Deino 292. Zweilous 293. Hydreigon 294. Larvesta 295. Volcarona 296. Virizion (Cook Islands) 297. Fennekin 298. Braixen 299. Delphox 300. Flabébé 301. Floette 302. Florges 303. Furfrou 304. Spritzee 305. Aromatisse 306. Binacle 307. Barbaracle 308. Clauncher 309. Clawitzer 310. Amaura 311. Aurorus 312. Dedenne 313. Carbink 314. Goomy 315. Sliggoo 316. Goodra 317. Klefki 318. Phantump 319. Trevenant 320. Pumpkaboo 321. Gourgeist 322. Noibat 323. Noivern 324. Diancie (French Polynesia) 325. Popplio 326. Brionne 327. Primarina 328. Wishiwashi 329. Mareanie 330. Toxapex 331. Dewpider 332. Araquanid 333. Morelull 334. Shiinotic 335. Stufful 336. Bewear 337. Bounsweet 338. Steenee 339. Tsareena 340. Comfey 341. Oranguru 342. Pyukumuku 343. Type: Null (Tonga) 344. Silvally 345. Komala 346. Turtonator 347. Togedemaru 348. Mimikyu 349. Bruxish 350. Drampa 351. Dhelmise 352. Jangmo-o 353. Hakamo-o 354. Kommo-o 355. Tapu Fini (Marshall Islands) 356. Blipbug 357. Dottler 358. Orbeetle 359. Nickit 360. Thievul 361. Gossifleur 362. Eldegoss 363. Wooloo 364. Dubwool 365. Yamper 366. Boltund 367. Rolycoly 368. Carkol 369. Coalossal 370. Applin 371. Flapple 372. Appletun 373. Cramorant 374. Sizzlipede 375. Centiskorch 376. Clobbopus 377. Grapploct 378. Sinistea 379. Polteageist 380. Hatenna 381. Hattrem 382. Hatterene 383. Milcery 384. Alcremie 385. Snom 386. Frosmoth 387. Eiscue 388. Indeedee 389. Cufant 390. Copperajah

North America 1. Bulbasaur 2. Ivysaur 3. Venusaur 4. Charmander 5. Charmeleon 6. Charizard 7. Squirtle 8. Wartortle 9. Blastoise 10. Pichu 11. Pikachu 12. Raichu 13. Cleffa 14. Clefairy 15. Clefable 16. Vulpix 17. Ninetales 18. Igglybuff 19. Jigglypuff 20. Wigglytuff 21. Oddish 22. Gloom 23. Vileplume 24. Bellossom 25. Meowth 26. Persian 27. Perrserker 28. Psyduck 29. Golduck 30. Growlithe 31. Arcanine 32. Abra 33. Kadabra 34. Alakazam 35. Bellsprout 36. Weepinbell 37. Victreebel 38. Tentacool 39. Tentacruel 40. Magnemite 41. Magneton 42. Magnezone 43. Shellder 44. Cloyster 45. Gastly 46. Haunter 47. Gengar 48. Voltorb 49. Electrode 50. Exeggcute 51. Exeggutor 52. Tyrogue 53. Hitmonlee 54. Hitmonchan 55. Hitmontop 56. Koffing 57. Weezing 58. Tangela 59. Tangrowth 60. Horsea 61. Seadra 62. Kingdra 63. Staryu 64. Starmie 65. Mime Jr. 66. Mr. Mime 67. Mr. Rime 68. Smoochum 69. Jynx 70. Elekid 71. Electabuzz 72. Electivire 73. Magby 74. Magmar 75. Magmortar 76. Lapras 77. Ditto 78. Eevee 79. Porygon 80. Porygon2 81. Porygon-Z 82. Omanyte 83. Omastar 84. Kabuto 85. Kabutops 86. Zapdos (Canada) 87. Dratini 88. Dragonair 89. Dragonite 90. Chikorita 91. Bayleef 92. Meganium 93. Cyndaquil 94. Quilava 95. Typhlosion 96. Chinchou 97. Lanturn 98. Togepi 99. Togetic 100. Togekiss 101. Natu 102. Xatu 103. Mareep 104. Flaaffy 105. Ampharos 106. Sunkern 107. Sunflora 108. Yanma 109. Yanmega 110. Murkrow 111. Honchkrow 112. Misdreavus 113. Mismagius 114. Unown 115. Girafarig 116. Teddiursa 117. Ursaring 118. Slugma 119. Magcargo 120. Corsola 121. Cursola 122. Remoraid 123. Octillery 124. Delibird 125. Mantyke 126. Mantine 127. Houndour 128. Houndoom 129. Stantler 130. Raikou (Belize) 131. Treecko 132. Grovyle 133. Sceptile 134. Torchic 135. Combusken 136. Blaziken 137. Lotad 138. Lombre 139. Ludicolo 140. Wingull 141. Pelipper 142. Ralts 143. Kirlia 144. Gardevoir 145. Gallade 146. Surskit 147. Masquerain 148. Whismur 149. Loudred 150. Exploud 151. Nosepass 152. Probopass 153. Sableye 154. Electrike 155. Manectric 156. Plusle 157. Minun 158. Budew 159. Roselia 160. Roserade 161. Carvanha 162. Sharpedo 163. Wailmer 164. Wailord 165. Numel 166. Camerupt 167. Torkoal 168. Spoink 169. Grumpig 170. Cacnea 171. Cacturne 172. Seviper 173. Lunatone 174. Corphish 175. Crawdaunt 176. Castform 177. Shuppet 178. Banette 179. Chingling 180. Chimecho 181. Absol 182. Snorunt 183. Glalie 184. Froslass 185. Spheal 186. Sealeo 187. Walrein 188. Clamperl 189. Huntail 190. Gorebyss 191. Latios (United States of America) 192. Kyogre (Bahamas) 193. Rayquaza (Nicaragua) 194. Chimchar 195. Monferno 196. Infernape 197. Piplup 198. Prinplup 199. Empoleon 200. Shieldon 201. Bastiodon 202. Buizel 203. Floatzel 204. Cherubi 205. Cherrim 206. Shellos 207. Gastrodon 208. Drifloon 209. Drifblim 210. Chingling 211. Chimecho 212. Chatot 213. Spiritomb 214. Croagunk 215. Toxicroak 216. Carnivine 217. Snover 218. Abomasnow 219. Rotom 220. Mesprit (Panama) 221. Dialga (Mexico) 222. Palkia (Honduras) 223. Heatran (Dominica) 224. Phione 225. Manaphy 226. Darkrai (Costa Rica) 227. Arceus (Cuba) 228. Tepig 229. Pignite 230. Emboar 231. Oshawott 232. Dewott 233. Samurott 234. Purrloin 235. Liepard 236. Pansage 237. Simisage 238. Pansear 239. Simisear 240. Panpour 241. Simipour 242. Munna 243. Musharna 244. Blitzle 245. Zebstrika 246. Woobat 247. Swoobat 248. Tympole 249. Palpitoad 250. Seismitoad 251. Petilil 252. Lilligant 253. Basculin 254. Maractus 255. Sigilyph 256. Archen 257. Archeops 258. Zorua 259. Zoroark 260. Gothita 261. Gothorita 262. Gothitelle 263. Solosis 264. Duosion 265. Reuniclus 266. Vanillite 267. Vanillish 268. Vanilluxe 269. Emolga 270. Foongus 271. Amoonguss 272. Frillish 273. Jellicent 274. Joltik 275. Galvantula 276. Tynamo 277. Eelektrik 278. Eelektross 279. Elgyem 280. Beheeyem 281. Litwick 282. Lampent 283. Chandelure 284. Cubchoo 285. Beartic 286. Cryogonal 287. Mienfoo 288. Mienshao 289. Heatmor 290. Tornadus (Guatemala) 291. Thundurus (Saint Kitts and Nevis) 292. Reshiram (Antigua and Barbuda) 293. Kyurem (Dominican Republic) 294. Keldeo (Trinidad and Tobago) 295. Meloetta (Jamaica) 296. Genesect (Saint Vincent and the Grenadines) 297. Fennekin 298. Braixen 299. Delphox 300. Froakie 301. Frogadier 302. Greninja 303. Litleo 304. Pyroar 305. Flabébé 306. Floette 307. Florges 308. Skiddo 309. Gogoat 310. Espurr 311. Meowstic 312. Spritzee 313. Aromatisse 314. Swirlix 315. Slurpuff 316. Skrelp 317. Dragalge 318. Clauncher 319. Clawitzer 320. Helioptile 321. Heliolisk 322. Amaura 323. Aurorus 324. Dedenne 325. Goomy 326. Sliggoo 327. Goodra 328. Klefki 329. Phantump 330. Trevenant 331. Noibat 332. Noivern 333. Xerneas (Saint Lucia) 334. Yveltal (El Salvador) 335. Hoopa (Grenada) 336. Volcanion (Curaçao) 337. Litten 338. Torracat 339. Incineroar 340. Popplio 341. Brionne 342. Primarina 343. Grubbin 344. Charjabug 345. Vikavolt 346. Oricorio 347. Cutiefly 348. Ribombee 349. Wishiwashi 350. Dewpider 351. Araquanid 352. Fomantis 353. Lurantis 354. Morelull 355. Shiinotic 356. Salandit 357. Salazzle 358. Oranguru 359. Sandygast 360. Palossand 361. Minior 362. Komala 363. Turtonator 364. Drampa 365. Tapu Lele (Haiti) 366. Magearna (Aruba) 367. Sobble 368. Drizzile 369. Inteleon 370. Blipbug 371. Dottler 372. Orbeetle 373. Nickit 374. Thievul 375. Gossifleur 376. Eldegoss 377. Rolycoly 378. Carkol 379. Coalossal 380. Applin 381. Flapple 382. Appletun 383. Cramorant 384. Toxel 385. Toxtricity 386. Sizzlipede 387. Centiskorch 388. Sinistea 389. Polteageist 390. Hatenna 391. Hattrem 392. Hatterene 393. Impidimp 394. Morgrem 395. Grimmsnarl 396. Milcery 397. Alcremie 398. Pincurchin 399. Snom 400. Frosmoth 401. Indeedee 402. Morpeko 403. Duraludon 404. Dreepy 405. Drakloak 406. Dragapult 407. Eternatus (Barbados)

Africa 1. Charmander 2. Charmeleon 3. Charizard 4. Caterpie 5. Metapod 6. Butterfree 7. Weedle 8. Kakuna 9. Beedrill 10. Pidgey 11. Pidgeotto 12. Pidgeot 13. Rattata 14. Raticate 15. Spearow 16. Fearow 17. Ekans 18. Arbok 19. Pichu 20. Pikachu 21. Raichu 22. Vulpix 23. Ninetales 24. Zubat 25. Golbat 26. Crobat 27. Diglett 28. Dugtrio 29. Meowth 30. Persian 31. Perrserker 32. Psyduck 33. Golduck 34. Mankey 35. Primeape 36. Growlithe 37. Arcanine 38. Poliwag 39. Poliwhirl 40. Poliwrath 41. Politoed 42. Abra 43. Kadabra 44. Alakazam 45. Tentacool 46. Tentacruel 47. Ponyta 48. Rapidash 49. Farfetch'd 50. Sirfetch'd 51. Doduo 52. Dodrio 53. Gastly 54. Haunter 55. Gengar 56. Onix 57. Steelix 58. Krabby 59. Kingler 60. Voltorb 61. Electrode 62. Happiny 63. Chansey 64. Blissey 65. Kangaskhan 66. Horsea 67. Seadra 68. Kingdra 69. Goldeen 70. Seaking 71. Staryu 72. Starmie 73. Mime Jr. 74. Mr. Mime 75. Mr. Rime 76. Scyther 77. Scizor 78. Smoochum 79. Jynx 80. Elekid 81. Electabuzz 82. Electivire 83. Magby 84. Magmar 85. Magmortar 86. Pinsir 87. Tauros 88. Miltank 89. Magikarp 90. Gyarados 91. Ditto 92. Eevee 93. Aerodactyl 94. Mewtwo (Namibia) 95. Cyndaquil 96. Quilava 97. Typhlosion 98. Hoothoot 99. Noctowl 100. Ledyba 101. Ledian 102. Chinchou 103. Lanturn 104. Natu 105. Xatu 106. Hoppip 107. Skiploom 108. Jumpluff 109. Aipom 110. Ambipom 111. Yanma 112. Yanmega 113. Murkrow 114. Honchkrow 115. Misdreavus 116. Mismagius 117. Girafarig 118. Qwilfish 119. Heracross 120. Sneasel 121. Weavile 122. Swinub 123. Piloswine 124. Mamoswine 125. Remoraid 126. Octillery 127. Delibird 128. Houndour 129. Houndoom 130. Stantler 131. Smeargle 132. Treecko 133. Grovyle 134. Sceptile 135. Zigzagoon 136. Linoone 137. Obstagoon 138. Taillow 139. Swellow 140. Wingull 141. Pelipper 142. Ralts 143. Kirlia 144. Gardevoir 145. Gallade 146. Surskit 147. Masquerain 148. Nincada 149. Ninjask 150. Shedinja 151. Skitty 152. Delcatty 153. Meditite 154. Medicham 155. Electrike 156. Manectric 157. Plusle 158. Minun 159. Volbeat 160. Illumise 161. Budew 162. Roselia 163. Roserade 164. Carvanha 165. Sharpedo 166. Spoink 167. Grumpig 168. Spinda 169. Swablu 170. Altaria 171. Zangoose 172. Solrock 173. Barboach 174. Whiscash 175. Baltoy 176. Claydol 177. Anorith 178. Armaldo 179. Feebas 180. Milotic 181. Shuppet 182. Banette 183. Absol 184. Snorunt 185. Glalie 186. Froslass 187. Luvdisc 188. Bagon 189. Shelgon 190. Salamence 191. Deoxys (Libya) 192. Chimchar 193. Monferno 194. Infernape 195. Starly 196. Staravia 197. Staraptor 198. Shinx 199. Luxio 200. Luxray 201. Cranidos 202. Rampardos 203. Combee 204. Vespiquen 205. Pachirisu 206. Buizel 207. Floatzel 208. Drifloon 209. Drifblim 210. Buneary 211. Lopunny 212. Glameow 213. Purugly 214. Stunky 215. Skuntank 216. Chatot 217. Riolu 218. Lucario 219. Skorupi 220. Drapion 221. Croagunk 222. Toxicroak 223. Finneon 224. Lumineon 225. Gligar 226. Gliscor 227. Rotom 228. Shaymin (Botswana) 229. Victini (Mauritania) 230. Snivy 231. Servine 232. Serperior 233. Patrat 234. Watchog 235. Lillipup 236. Herdier 237. Stoutland 238. Purrloin 239. Liepard 240. Pansage 241. Simisage 242. Pansear 243. Simisear 244. Panpour 245. Simipour 246. Blitzle 247. Zebstrika 248. Woobat 249. Swoobat 250. Drilbur 251. Excadrill 252. Tympole 253. Palpitoad 254. Seismitoad 255. Sawk 256. Venipede 257. Whirlipede 258. Scolipede 259. Cottonee 260. Whimsicott 261. Basculin 262. Sandile 263. Krokorok 264. Krookodile 265. Darumaka 266. Darmanitan 267. Dwebble 268. Crustle 269. Sigilyph 270. Archen 271. Archeops 272. Trubbish 273. Garbodor 274. Zorua 275. Zoroark 276. Minccino 277. Cinccino 278. Ducklett 279. Swanna 280. Deerling 281. Sawsbuck 282. Emolga 283. Karrablast 284. Escavalier 285. Joltik 286. Galvantula 287. Tynamo 288. Eelektrik 289. Eelektross 290. Axew 291. Fraxure 292. Haxorus 293. Cryogonal 294. Mienfoo 295. Mienshao 296. Pawniard 297. Bisharp 298. Rufflet 299. Braviary 300. Durant 301. Larvesta 302. Volcarona 303. Fennekin 304. Braixen 305. Delphox 306. Froakie 307. Frogadier 308. Greninja 309. Bunnelby 310. Diggersby 311. Fletchling 312. Fletchinder 313. Talonflame 314. Scatterbug 315. Spewpa 316. Vivillon 317. Litleo 318. Pyroar 319. Furfrou 320. Espurr 321. Meowstic 322. Helioptile 323. Heliolisk 324. Hawlucha 325. Dedenne 326. Carbink 327. Noibat 328. Noivern 329. Litten 330. Torracat 331. Incineroar 332. Pikipek 333. Trumbeak 334. Toucannon 335. Yungoos 336. Gumshoos 337. Crabrawler 338. Crabominable 339. Oricorio 340. Cutiefly 341. Ribombee 342. Rockruff 343. Lycanroc 344. Salandit 345. Salazzle 346. Comfey 347. Wimpod 348. Golisopod 349. Minior 350. Togedemaru 351. Mimikyu 352. Bruxish 353. Tapu Koko (Central African Republic) 354. Marshadow (Gabon) 355. Zeraora (Chad) 356. Grookey 357. Thwackey 358. Rillaboom 359. Scorbunny 360. Raboot 361. Cinderace 362. Sobble 363. Drizzile 364. Inteleon 365. Rookidee 366. Corvisquire 367. Corviknight 368. Blipbug 369. Dottler 370. Orbeetle 371. Nickit 372. Thievul 373. Wooloo 374. Dubwool 375. Cramorant 376. Arrokuda 377. Barraskewda 378. Toxel 379. Toxtricity 380. Sinistea 381. Polteageist 382. Impidimp 383. Morgrem 384. Grimmsnarl 385. Falinks 386. Indeedee 387. Morpeko 388. Dreepy 389. Drakloak 390. Dragapult 391. Zacian (DR Congo) 392. Zamazenta (Mali) 393. Regieleki (South Sudan)

[burning-up-ao3]

March 15, 2019 

The Penguins had a problem March 1 when they  took the ice without Kris Letang and Bryan Rust. 

   Kris Letang is again an All-Star and Rust was amid a breakout year  offensively. But the issue in Buffalo that night was that neither was  available to dig pucks out of the net during pregame warmups.    “Once Rusty got injured, nobody was doing it. I think we skated around for  about five minutes, just looking at each other and waiting for someone to  pick them up,” said Marcus Pettersson, chuckling at the thought. “So I just  did it. I think most guys do the same [routines] on the ice and nobody wants  to break it. I don’t have anything in particular that I need to do, so I  don’t mind picking up the pucks.”    Well, there are a few Penguins who are very particular about what  they do and when and where they do it during pregame warmups. Sidney Crosby,  Evgeni Malkin and Kris Letang are definitely among them.    That can be intimidating for a 24-year-old who gets called up to Pittsburgh  to make his NHL debut.    “It sounds weird,” Teddy Blueger said, “but there is definitely an adjustment  to try to figure out what everyone does and where everyone goes. I think at  first, you just try to stay out of the way.”    A few players told him to be wary of Crosby, whose many superstitions are  well-documented. Garrett Wilson, who started the season as the captain in  Wilkes-Barre/Scranton, gave Blueger the heads-up that the warmup in  Pittsburgh is “pretty hectic,” so he should “watch out and be on your toes.”    When the clock starts ticking down during the 18-minute pregame warmup, that  night’s starting goalie is the first one on the ice. Crosby and Malkin, in  that order, come out last. Well, unless it’s one of those nights when Phil  Kessel takes his sweet time meandering from the locker room down the tunnel.    Most players, their adrenaline and typically techno music pumping, explode  out onto the ice, circling the Penguins zone and firing pucks at the empty  net. Crosby squats on one of the neutral-zone faceoff dots to stretch his  groin. Malkin gets loose in the faceoff circle to the right side of the goal.  Letang, when in the lineup, likes to hunch over between the hashmarks, a  moment of Zen as pucks whizz past him.    “The guy you’ve got to watch out for is Olli,” Jack Johnson said. “He’s just  flying around out there.”    Injuries do happen. For example, Patric Hornqvist had to get stitches earlier  this season after one of his shots in warmups ricocheted off the crossbar and  into his forehead. But watch these athletes weave around each other at  near-full speed and you might wonder why injuries don’t happy more often.    “We’re synchronized, man,” Dominik Simon insisted. “It looks chaotic from the  outside, 100 percent. But we’re used to what each other is doing, so you kind  of know the routines and can focus on yourself.”

Around the 14-minute mark during home games, Crosby will    stick-handle through the McDonalds logo.        “He’s always been superstitious, ever since we were teenagers,” said    Johnson, who played prep hockey with Crosby at Shattuck St. Mary’s in    Minnesota in 2002-03. “He hasn’t really changed much at all.”        Pettersson begins his duties as the interim puck-retriever with Letang and    his backup, Rust, out. About a minute later, once all the pucks have been    sent to the neutral zone, the goalie shuffles into the net.        With about 11 minutes left on the clock, the skaters head to the corners.    This is when Jake Guentzel does his famous spin, which you might have seen    during the pregame hype video around the holidays.        “I don’t know how the spin started. But now I do two spins one way then two    spins the other way,” Guentzel said. “First, it’s Rusty that hits me and    then I hit Rusty after. So it’s kind of just stuck.”        Inside of the 10-minute mark, the Penguins do line rushes, giving us a    glimpse at that night’s lineups. With seven minutes left, Crosby stops near    center ice to tighten both of his skates. A minute after that, the players    line up in a half circle so they can pepper the goalie. With a few minutes    remaining, some of the veteran players start to duck off the ice. Meanwhile,    Guentzel tosses a couple of pucks to fans.        While there certainly are at least a few superstitious Penguins, most    players simply have routines and specific things they want to accomplish in    warmups, mostly because it’s what they’ve always done.        “If it gets messed up, it’s not a huge deal,” Blueger said. “I think at    this point it’s kind of like being in autopilot, where you don’t even think    about it. You just kind of go through the motions almost.”        Before the backup goalie retreats to the locker room, they must do the    net-front scramble, where all of the skaters still on the ice try to score    on that goalie, who must fend for himself. Why do NHL teams do that? Ask    around and you’ll get a lot of shrugs. That’s just the way it’s always been    done, they say.        “We didn’t do that in Sweden, so that was the first time I saw it, coming    over here,” Pettersson said. “I think [some goalies are more competitive].    That usually dictates how much is left of warmups and what time you get off    the ice. Sometimes, the goalie stands on his head and there’s barely enough    time to score before the clock runs down. I couldn’t tell you where it    started. It’s just something we all do.”        The last two Penguins out there are typically Malkin and Letang. Letang    loops around the zone, putting shots on goal and working up a sweat.    Malkin, meanwhile, stands nearly still at the right faceoff dot.        Malkin waits and waits and waits until the clock hits zero and the buzzer    sounds. He fires a lone shot into the net and turns toward the Penguins    bench. Athletic trainer Chris Stewart by now has walked out onto the ice so    that Malkin can, relatively gently, flip a puck into one of Stewart’s shoes    on his way off.        Why does he do that? Well, he couldn’t tell you where it started. It’s just    something that he does.

 THREE STARS OF THE PAST WEEK                            3. Evgeni Malkin. This is a career achievement award for  Geno after he hit his 1,000-point milestone, though he has provided some offense of late. Now can someone please print out  this newsletter and snap a picture of him holding this fake award  proudly? Thanks.                            2. The Crosby line. They have a ways to go to reach nickname              territory, but Sidney Crosby, Jake Guentzel and Jared McCann have              been great. Not to bag on Derick Brassard, though you may not   mind, but McCann is already about to match his production with Pittsburgh earlier this season.                            1. Matt Murray. Murray was spectacular in the loss to  Columbus last Saturday, then stood tall in wins over Washington  and Boston, two of the league's hottest teams. In his last nine  starts, Murray (pictured below) stopped 279 out of 300 shots and  went 6-1-2.

JASON MACKEY’S EXTRA THOUGHTS                            Note: These are brand-new bonus thoughts – exclusive to this              newsletter – from our lead Penguins reporter, Jason Mackey.Visit post-gazette.com/penguins every Tuesday   to read his “20 Penguins Thoughts.”                 1. Penguins coach Mike Sullivan has made plenty of tough decisions over the years. Starting Matt Murray over Marc-Andre  Fleury in Game 4 of the Eastern Conference final against Ottawa back in 2017 comes to mind first. Sullivan starting Murray on back-to-back nights March 1-2 has a similar feel. Seems like the Penguins — and especially Murray — have taken off since then. I also wouldn’t be surprised to see Sullivan do it again this weekend.                2. With Zach Aston-Reese now out “longer term” — or until about   the end of the regular season — it should become a priority  to fill the left wing spot on Evgeni Malkin’s line. I like Teddy Blueger, but I think he’s in over his head there. My candidate: Bryan Rust. He’s done it before, and I wouldn’t mess with the top  line of Jared McCann, Sidney Crosby and Jake Guentzel.                3. Speaking of the second line, it sure looks like Phil Kessel and Patric Hornqvist are back to being themselves. You can tell that both are regaining their confidence. The way Kessel and Malkin were sharing the puck Thursday night was impressive. Ditto for Kessel’s concentration   on that baseball swing. Hornqvist is starting to get a little  puck luck. I think we might be on the verge of seeing something  special with those two. 

STAT OF THE WEEK                            4 — players all-time who recorded 1,000 points in a Penguins uniform now that Evgeni Malkin has done it. The Red Wings are the only other              NHL franchise that can make that claim. Thinking about this stat will definitely remind you to appreciate the great players and  the fun, often breath-taking offensive hockey we've been lucky to  watch here the past few decades.

QUOTE OF THE WEEK                 “It’s a great milestone. He’s done so much over the years. Been a  part of winning teams, highlight-reel goals, dominated games. Did  a lot for the organization. It’s just been fun to be a part of   that, watch that. You’re always happy for your teammates when  they do well, but a guy you’ve played this long with, it’s pretty special, pretty unique.” — Sidney Crosby on Malkin becoming the fifth Russian to get 1,000 points.

[entergamingxp]

Someone should make a game about: Dishwashing • Eurogamer.net

Not to brag but I am probably one of the three best washer-uppers in the world. First proper job at a fancy creperie in my early teens. Just me and a WinterHalter 2000 keeping the kitchen in business. I would work ludicrous shifts and then go home soaked, like I had survived something. Really it was the kitchen that had survived something – it had survived me. One of the three best washer-uppers in the world.

The KP life. Plongeurs. George Orwell and garbage disposal systems. So much potential here. For one thing there is a rich seam of strategy running through dishwashing. Loading the machine – that is a tricky business! Especially when you are dealing with industrial quantities of stuff to get cleaned, and especially especially when you’re dealing with things that have been burnt on hard during cooking. Cheese, when burnt, can become a whole different thing to the friendly cheese that hangs out in your fridge. I have a cut running down the side of my palm that looks really nasty. It is really nasty! Knife? People will ask. Broken glass? No sir. That cut is from a piece of cheese, that had been blasted until it was brittle and sharp. I swoon a little to think about it. To think of that day!

But the strategy and the danger is only a part of what makes dishwashing fascinating. Ditto the fact that dishwashers, like Samurai or whatever, like to live by a code. We are not ostentatious. We are certainly not highly paid. But there are good dishwashers and bad dishwashers, and the good dishwashers take a certain degree of pleasure in terms of what they can do with the sheen on a wineglass. The good dishwashers know which parts of a teapot collect tannin stains that most people miss – the spout and under the spout where there is often an ornamental ridge. (Also a funny little dot at the very top of the handle.) The good dishwashers know that bad restaurants can be spotted not by what’s on the plate but what’s left crusted underneath it.

Seriously, though. Let us talk about pots and pans. The more I think about my dishwashing career the more I think about pots and pans. Plates and saucers are just plates and saucers. Clean them, don’t drop them, stack them somewhere a chef can get to them. They are not complex beasts. Ditto cutlery. Ditto – once you are in the zone – glassware. One towel to dry it, another to buff it. We do not need to get MIT on the phone for this stuff.

But pots and pans. Pots and pans have inner lives. They are superstars of the kitchen but they are also spoilt children – the best of them need parenting.

Take cast irons. Just the other day Chris Tapsell suggested that owning a cast iron skillet made you part of a cult. Guilty as charged. Cast irons need a lot of parenting. You need to season them, to fire them, and to keep them away from dishwashers lest you spoil that coating that builds up over time into a fearsome non-stick surface. The patinas! There are cast iron skillets that have been in families for over one hundred years, each dish cooked forming part of a lineage, a sort of chemistry of history that reminds me, in a way, a bit of the culinary equivalent of that spooky mitochondrial DNA stuff. Somehow this kind of stuff is not disgusting. It’s where we come from!

Skillets are just the tip of this though. I bought a wok the other day. My first, I am ashamed to say. And I am delighted by how much parenting a wok requires. You get it all shiny and clean from the store, and then? Then you have to give it a very specific kind of shoeing. You have to wire-wool it to get off the anti-rust coating. Then you need to burn it until it changes to the colour of one of those gasolene puddles you see in the street near repair shops. THEN you need to oil it and burn it all over again. Then it is ready. Don’t even ask about how you clean it. (Actually, I have read seasoning tips that go far beyond what I have just explained. Some are pretty extreme.)

The best pots and pans have stories. My step-mother has a pot that I would very much like to steal. It’s square, which is odd enough, and it’s extremely heavy. It has a lid that you could kill someone with. Anyway, what happened was this: in the war a bomber crashed near a village, and the people from the village ran out and stripped the bomber of scrap metal, and some of the scrap metal became my step-mother’s pot. If that isn’t the kind of detail that would enrich a video game, I don’t know what is. I don’t know what happened to the pilot and crew.

from EnterGamingXP https://entergamingxp.com/2020/07/someone-should-make-a-game-about-dishwashing-%e2%80%a2-eurogamer-net/?utm_source=rss&utm_medium=rss&utm_campaign=someone-should-make-a-game-about-dishwashing-%25e2%2580%25a2-eurogamer-net

[forcefedthelies]

i had just broken up with my boyfriend because i stopped feeling like myself. i decided to wipe my slate clean and try everything all over again.

i went out with my best friend. just the two of us, in the front of her car. i hate driving. i hate being up front, but i get carsick in the back. she distracts me. i stop remembering why i’m so afraid of being in the car.

we pulled into a target parking lot. we got a little high. we bought her dad a birthday cake, a bag of shredded cheese, and raw cookie dough. it didn’t matter if cookie dough and shredded cheese is the worst possible combination, we ate them both while sitting together and laughing at nothing.

the high wore off. we drove around for forty minutes playing all of our favorite songs. i showed her my new favorite band. she showed me hers. i felt safer there than i ever had before, singing to an old fall out boy song with someone who i can’t address as anything other than my soulmate.

i stop and think. she’s my everything, my sun and moon and stars, my air and water, my sense of laughter when everything feels bleak. i hate her at the time boyfriend. she knows it. she laughs at every joke i make about him.

i ask her to give me her hand, even though i used to get upset if she took either hand off the steering wheel. she holds mine for a minute or two.

she brings me home. we throw out the garbage from the things we got at target. the sky is painted bright shades of pink and orange. i know what it’s like to be loved again.

i told her i loved her, that she’s my best friend, and she told the same thing. we talk to each other every day. she means the world to me. i wouldn’t trade her for a thing.

Tell me a soft memory

[curegbm]

Ajit Pai IS MAKING LOTS OF ENEMIES ON THE ROAD TO 5G

In moving to free up Wi-Fi and bolster superfast service, Pai has alienated some industries, congressional committees and Trump Cabinet leaders.

Photo caption: FCC Chairman Ajit Pai takes a drink from a mug during the commission vote on net neutrality in 2017. | AP Photo/Jacquelyn Martin

John Hendel, Politico, Jul 8, 2020

FCC chief Ajit Pai is angering a lot of powerful people as his chairmanship hits its fourth and potentially final year.

The Pentagon, the Commerce Department and the Department of Transportation. Electric utilities, airlines and the auto industry. Public safety officials and weather forecasters. Top lawmakers of both parties, including an ally of President Donald Trump’s who controls the FCC’s purse strings on the Senate Appropriations Committee.

And most of that is because of actions Pai has taken this year.

Every FCC chair makes decisions that draw criticism, from judging proposed mergers by broadcasters and cellphone companies to setting rules for net neutrality and robocalls. But the barbs coming Pai’s way have multiplied in recent months as he leads the commission in divvying up billions of dollars’ worth of wireless spectrum for a new generation of Wi-Fi and 5G wireless service — moves that are leaving a lengthening trail of winners and losers and putting Pai's decision-making and career experts under the microscope.

The clear winners include Comcast, Facebook, AT&T and other Silicon Valley and telecom titans that say Pai’s policies will help the U.S. vie with China for technological supremacy. To his allies, Pai is heroic for taking on parochial interests keeping America from making the objectively best uses of its digital resources.

To his foes, however, he’s going rogue in ways that waste taxpayer money and could endanger public safety.

Some of them are expressing their criticisms of Pai in deeply personal terms.

“I wouldn’t take him with me to buy a car because he’d pay full sticker price and then try to give the salesman a bonus,” Senate appropriator John Kennedy (R-La.) said earlier this year, criticizing Pai’s plan to offer satellite operators billions of dollars to give up their airwaves for 5G. After Pai approved another 5G plan over the Pentagon’s objections, Senate Armed Services Chair Jim Inhofe (R-Okla.) hinted that “when people try to push bad policy through in the middle of a crisis, without much coordination with seemingly anyone else, it makes me wonder about their motives."

Critics blame a tunnel-vision regulatory culture that they say Pai has leaned into as agency chief.

The FCC embodies “very much a regulatory capture mindset” and “arrogance,” said Joy Ditto, who recently led the Utilities Technology Council in an unsuccessful airwaves fight with the commission on behalf of electric utilities. She accused the agency of putting its faith in tech and telecom companies’ promises of improved internet connections, at the expense of safety concerns from other spectrum-dependent industries.

They literally believe in their heart that nothing that we said is true … that’s just very dangerous thinking,” said Ditto, now the CEO of the American Public Power Association, in an interview. “The impression was ‘We’re smarter than you, you don’t really know what you’re talking about because you don’t have our level of expertise.’”

Similar complaints have come from Trump’s Defense and Commerce departments — despite the praise Pai’s decisions have received from administration leaders like Attorney General William Barr and White House economic adviser Larry Kudlow.

Sen. Maria Cantwell (D-Wash.), the top Democrat on the Commerce Committee, upbraided Pai during a June 24 oversight hearing for siding against federal experts on battles over weather forecasting, aviation, transportation safety and national security. She stared down the agency chief as she rattled off her concerns, then laughed in seeming exasperation and told him that the FCC shouldn't be the "default agency" to decide contentious calls in a vacuum.

"It seems to be that the agency has narrowed its interest in the standard for public broadband policy," Cantwell lamented. "Today the FCC dismisses national priorities and defaults to the belief that the highest and best use of spectrum is always terrestrial broadband."

Senators continued to grill Pai over similar issues throughout the hearing, which stretched past three hours — prompting the sometimes heated agency chief to scoff over what he dubbed "absolute nonsense" from critics like the Pentagon.

'Driven by the engineering'

Pai dismisses much of the criticism, telling POLITICO during a June news conference that he and his agency have to make tough calls because of a lack of readily available airwaves. He emphasized the agency's mandate to free up the communications resources for the private sector — a process he said is motivated by objective, expert analysis and includes all necessary consultation with others.

"We’ve been driven by the engineering," Pai said. "Not the politics, not the press releases, but what are the facts?"

"That is what 5G leadership is, focusing on the facts and coming up with a solution that delivers better return on the value to the American people for the resource that belongs to the American people," added Pai, who has spent years pushing the goals of speeding ahead advanced wireless networks and rural broadband service.

It doesn't hurt, however, that Pai's effort has the strong backing of the president. At a White House speech in the spring of last year, Trump stood with Pai to his right, applauding the agency chief's "fantastic job" and making his 5G mandate clear.

"The race to 5G is a race America must win,” Trump said. “My administration is focused on freeing up as much wireless spectrum as needed.” Then he ribbed Pai about the possibility of pushing the effort even further: "I guess at some point we're going to be talking about number 6," Trump said. "You think that's true, Ajit?"

Pai, who became a commissioner in 2012, found himself embroiled in partisan tussling soon after Trump elevated him to chair in January 2017. Defying death threats and Democratic outcry, he repealed Obama-era policies such as the FCC’s old media ownership restrictions and net neutrality regulations — defending the latter decision by starring in a deliberately dorky video designed to go viral. If his policies drew attention, so did the “cartoonishly large” Reese’s coffee mug he drank from during the net neutrality vote.

But as the airwaves are squeezed by his latest policy moves, Pai is alienating sectors beyond the usual communications players. These more complicated spats don’t fall along traditional partisan lines, and sometimes put Pai at loggerheads with Trump allies like Defense Secretary Mark Esper, Transportation Secretary Elaine Chao and top Hill Republicans.

Photo caption: President Donald Trump shakes Pai's before delivering remarks on 5G deployment in the United States in April 2019. | Tom Brenner/Getty Images

An April vote to open an entire band known as 6 GHz for Wi-Fi drew applause from cable giants like Comcast and Silicon Valley titans like Facebook. But electric utilities and public safety officials cried foul, saying it could disrupt their use of the same airwaves for critical infrastructure services.

That same month, Pai bucked the bulk of the Trump administration by approving a plan by the Virginia satellite company Ligado Networks to repurpose its existing airwaves for 5G service — a project that the Pentagon and DOT say could upend the nation’s GPS signals. He also overrode objections from the DOT and automotive interests in advancing a plan to allow Wi-Fi service in a slice of spectrum in the 5.9 GHz band that had been set aside for vehicle safety.

In the coming months, the FCC is expected to hold votes completing the transportation plans and addressing unresolved issues in the 6 GHz Wi-Fi debate.

Spectrum divides multiply

The groups on the losing ends of these fights complain that Pai and his agency are ignoring their valid concerns.

“All of the pleas of safety experts in transportation ... we have effectively been shut out of the discussion,” Shailen Bhatt, who represents automotive and transportation interests as CEO of the Intelligent Transportation Society, told POLITICO. “I don’t understand why appropriate respect and consideration is not being given to the U.S. Department of Transportation.”

Senate Energy and Natural Resources Chair Lisa Murkowski (R-Alaska) lamented that Pai took seven months to reply to one of her letters in which she voiced concerns about how his airwaves agenda might squeeze utilities and emergency responders. She suggested the delay was because Pai “failed to adequately cooperate or consult with these entities.”

Following the FCC's Ligado approval, the Pentagon also complained about feeling ignored.

“There was not a give and take, a back and forth that we typically go through,” DoD Chief Information Officer Dana Deasy told Senate Armed Services lawmakers during a May 6 hearing probing the FCC’s Ligado approval.

The Commerce Department’s National Telecommunications and Information Administration, on behalf of the executive branch, has asked the FCC to redo its Ligado’s decision, suggesting that Pai's sign-off "represents an unexplained break from the healthy respect that NTIA and the executive branch have generally received from the Commission."

Pai has repeatedly sought to tamp down such fears and challenged some of these narratives. Regarding Ligado, he told Congress that the FCC had reached out to top Pentagon officials prior to announcing his proposed approval. In June, he received a briefing from Defense, Transportation and Commerce officials, which included classified information from defense officials.

In speeches and news conferences, Pai said he seriously vets critics’ objections, even when commission votes don’t concede to them.

His allies agree.

“We are asked to make the tough calls," Republican FCC Commissioner Mike O'Rielly said during a recent event.

Pai has won plenty of praise from traditional telecom analysts and observers, including some public interest groups that slammed his earlier deregulatory moves. They said the Pentagon, auto industry and utilities represent overly cautious hoarding of airwaves, and that Pai is brave to confront these turf wars. All five commissioners voted unanimously on most of these spats.

“The FCC is the expert agency that’s charged with making these decisions,” said Ligado CEO Doug Smith, who has suggested that the Pentagon’s campaign against his company’s 5G plans contradicts objective analysis from within the administration (a case receiving some validation from internal emails obtained by POLITICO). “They’re an independent body. They have to balance all the different competing interests.”

The advocacy group Public Knowledge, which receives some funding from Ligado and tech and telecom interests, argued that people should defer to the FCC’s engineering expertise, calling that "key to our success" in 5G. They led a letter rallying groups behind that idea.

A split administration

A widely acknowledged administration civil war over the airwaves, meanwhile, is making Pai’s job harder.

In the U.S., the FCC regulates commercial airwaves while the Commerce Department’s NTIA is supposed to oversee federally held wireless spectrum — and help mediate some of these fierce 5G fights. But the NTIA has lacked a Senate-confirmed leader for more than a year, and Cabinet agencies like the Pentagon and DOT have grown more outspoken about their spectrum grievances.

The dysfunction has caused some to argue the whole system may be busted and require creation of a brand-new government agency.

A Commerce Department advisory group is preparing a report contemplating such a possibility. “We generally reached agreement that the country’s current approach for managing the use of spectrum is no longer effectively serving the needs of the entire stakeholder community,” Jennifer Manner, a satellite executive preparing that report, told advisory group colleagues in April.

Even so, Pai should have clued in the executive branch and industry stakeholders when formulating the priorities in his 5G strategies, concluded a Government Accountability Office report issued at the end of June, questioning a lack of measure benchmarks driving Pai's agenda and a set of ambitions seemingly developed in a silo.

One challenge is disagreement over what data really counts. Ditto, the utility industry representative, once urged the commission and the Federal Energy Regulatory Commission to agree to hash out the differences between telecom and utility interests — but said that idea went nowhere. “The first time I went to kind of float that idea to some FCC staff, it was like I was suggesting killing their firstborn,” she said.

Still, the FCC has since shown some openness. O'Rielly wrote the DOE in June with Pai's blessing, proposing an interagency partnership on airwave efficiency.

But Ditto counts herself among those who say radical FCC overhaul may be the only solution.

“I don’t think it can continue in its same structure because we’re going to keep having these misguided proposals put out there that are going to put our country back,” she said. “I think ultimately you’d need legislative changes.”

Photo caption: Pai testifies during a hearing before Senate Commerce, Science and Transportation Committee in June. | Alex Wong/Getty Images

President Pai?

Pai’s own future, meanwhile, is an open question amid widespread expectation that he'll depart if Joe Biden wins the White House in November. Even if Trump wins reelection, many expect Pai will step aside before being forced to leave following his term's expiration in 2021.

Many former FCC leaders went on to represent industries that benefit from the commission’s decisions under Pai: Former Chair Kevin Martin is a top lobbyist for Facebook; former Chair Michael Powell heads cable industry trade group NCTA; Meredith Attwell Baker leads wireless trade group CTIA and Jonathan Adelstein heads the Wireless Infrastructure Association; former Commissioners Robert McDowell and Mignon Clyburn helped shepherd through T-Mobile's recent high-profile merger.

Pai himself is a former Verizon lawyer, a stint that many of his critics are happy to invoke. But the traditional telecom players say they are thrilled to see Pai making these hard choices that have infuriated some lawmakers and industries throughout Washington.

“You’ve been a leader on making sure we get the spectrum we need,” Adelstein told Pai during a virtual conference in mid-May. “It’s always a challenge with different competing demands.”

Pai, in turn, told the wireless conference attendees: “The FCC’s gotten in place a lot of creative spectrum bands that you can use as you see fit.”

Pai has brushed off talk about his own future, although rumors about a possible political run long hounded the native Kansan. He likes to joke about replacing TV star Judge Judy.

National Association of Broadcasters chief Gordon Smith offered lighthearted acknowledgment of the political rumor-mongering during a May event.

“I think you should be going to the White House,” he told Pai. “I’d be happy to be your vice president."

https://www.politico.com/news/2020/07/08/ajit-pai-enemies-5g-351803

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CBRS PAL auction poised to emerge a doozy, possibly raising $10B

Monica Alleven, Fierce Wireless, Jul 7, 2020

Even though the CBRS 3.5 GHz auction is part of a shared spectrum paradigm that some considered to be part of a grand experiment, it’s lining up to be a doozy, with 271 qualified applicants that could collectively bid anywhere from $4.4 billion to upwards of $10 billion based on analyst estimates.

The FCC released the list of qualified bidders on July 1, and it includes the usual suspects: Verizon, AT&T, T-Mobile, U.S. Cellular, Comcast and Dish Network; Dish is bidding under the name Wetterhorn Wireless.

But there’s a long list of not-so-usual suspects in this auction. Raymond James analysts noted that it’s the largest number of bidders since Auction 5, the original PCS C Band auction, in the mid-1990s that attracted 255 bidders. The PCS auctions kicked off a Wild West of sorts in wireless, creating myriad licensees and service providers across the country until consolidation whittled the number down to the current handful of nationals and remaining regional service providers.

Because the CBRS auction, dubbed Auction 105, includes 22,631 licenses and they’re the size of counties, a lot more entities are eligible and interested in bidding than auctions in the intervening years. Utilities, rural service providers and universities are in the mix along with traditional bidders. 

In terms of supply, Auction 105 offers a total of 70 MHz of available spectrum compared to the C-band Auction 107, which will offer 280 MHz when that gets underway on December 8. 

Even though supply will be relatively low in the CBRS auction, demand could be quite high, given the 271 qualified bidders versus 23 to 70 bidders in the previous five auctions, noted Raymond James analyst Ric Prentiss.

RELATED: AT&T, Verizon, T-Mobile, Cox, Charter among CBRS bidders

In fact, the vast majority of bidders in Auction 105 are small and have applied for rural (75 bidders), small business (7 bidders) or very small business (129 bidders) bidding credits, according to Raymond James. The other 60 bidders include the aforementioned usual suspects, as well as 11 public energy companies.

Some familiar names on the qualified bidding list include Chevron, Bluegrass Consortium, Cincinnati Bell, Cox Communications, Deere & Company, Duke University and Health System, Frontier Communications, Hawaiian Electric Company, Inland Cellular, Midcontinent Communications, Puerto Rico Telephone Company, San Diego Electric Gas and Electric Company, Shenandoah Cable Television and Windstream Services.

The applicants that did not qualify include Corning, Dallas Independent School District, Mile High Networks, the University of Kentucky and Montana Internet Association, to name a few.

Some industry analysts have predicted the CBRS auction gross proceeds will amount to $4.4 billion at $0.20 per MHz-POP. But Raymond James' estimate is significantly higher.

“With such a diverse group of qualified bidders and limited supply, it is hard to gauge potential pricing, but we would expect gross proceeds for Auction 105 could be in the $8 - $10B range, with the C-band auction expected to produce dramatically higher bids,” Prentiss wrote.

CBRS spectrum is expected to greatly increase the number of private networks in the U.S. Expectations also are high for a healthy secondary market as PAL licensees seek to lease their spectrum to other entities.

Per the FCC’s rules, any frequencies designated for priority access that are not used by a PAL holder may be used by the General Authorized Access (GAA) users. Spectrum Access System (SAS) administrators like Federated Wireless expect a secondary market for PAL licenses will develop as PAL winners build out their networks and find areas where they have excess capacity.  

RELATED: Editor’s Corner—Early CBRS deployments: Indoors or out?

The CBRS band started out as the “Innovation Band,” which still lives up to its namesake to various degrees. It’s not exactly the same as it was when the FCC created it under Tom Wheeler’s chairmanship.

When the Trump administration took over and Ajit Pai was appointed chairman of the FCC, he assigned a sort of “do-over” for the band to fellow Republican Commissioner Michael O’Rielly, who set out to make it a more 5G-friendly band as the rest of the world went gangbusters on mid-band spectrum for 5G. In the U.S., the 3.5 GHz band is the nearest-term opportunity for operators to acquire new mid-band spectrum for 5G, the next closest opportunity being the C-band.

https://www.fiercewireless.com/wireless/cbrs-pal-auction-poised-to-be-a-doozy-possibly-raising-10b

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Related Posts:

An Exposé of the FCC: An Agency Captured by the Industries it Regulates

GAO 2012 Mobile Phone Report to the Congress

FCC: Why We Need Stronger Cell Phone Radiation Regulations--Key Testimony

"We Have No Reason to Believe 5G is Safe" (Scientific American)

Scientific American Created Confusion about 5G's Safety: Will They Clear It Up?

5G Wireless Technology: Is 5G Harmful to Our Health?

5G Wireless Technology: Millimeter Wave Health Effects

Scientists and Doctors Demand Moratorium on 5G

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Joel M. Moskowitz, Ph.D., Director

Center for Family and Community Health

School of Public Health

University of California, Berkeley

Electromagnetic Radiation Safety

Website:          https://www.saferemr.com

Facebook:        https://www.facebook.com/SaferEMR

Twitter:            @berkeleyprc