├── KEYS.txt
├── README.md
├── database
    └── README.md
├── plutushybrid.py
└── English Dictionary


/KEYS.txt:
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1 | 
2 | 
3 | 


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/README.md:
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1 | # A Hybrid tool of the Plutus Bitcoin Brute Forcer - all credit for this goes to https://github.com/Isaacdelly/Plutus.
2 | 
3 | 
4 | This tool generates a random 12 word seed, and then creates a private key and public key in the hopes of matching a public key with balance.  
5 | 
6 | Additional credit goes to @johnlockejr for helping with making sure the 12 word seed and the corresponding math in creating the private key works properly!!
7 | 


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/database/README.md:
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 1 | #Please download the latest DB here: https://github.com/secretnumber/utxodump. Shout out to secretnumber for keeping this UXTO dump up to date!!!!
 2 | 
 3 | #All info below is a copy/paste from issacdelly/plutus
 4 | # Database FAQ
 5 | 
 6 | This database is a serialized `set()` of all Bitcoin addresses with a positive balance.
 7 | 
 8 | The database was created using a third-party program: <a href="https://github.com/graymauser/btcposbal2csv">btcposbal2csv</a> which generates a csv file of all Bitcoin addresses with a positive balance. The csv file was converted into a set and the set was serialized into several `.pickle` files each holding 1,000,000 P2PKH Bitcoin addresses. When the program runs, the files in the database get deserialized and combined to be used for a balance query.
 9 | 
10 | The name of the database folder is the date when the database was last updated in month_day_year format. The database will be updated every 3-6 months.
11 | 
12 | ### How Many Addresses Does The Database Have?
13 | 
14 | The database currently holds `19,216,420 Bitcoin addresses`. This is the total number of P2PKH Bitcoin addresses with a balance that exist in the blockchain.
15 | 
16 | This can be verified by removing the hashtag on <a href="https://github.com/Isaacdelly/Plutus/blob/master/plutus.py#L134">Line 134</a> before running the program. This will print the size of the database.
17 | 
18 | ### Why Are There So Many Files?
19 | 
20 | There are multiple `.pickle` files because GitHub limits file uploads to 50 MB. The single serialized file is too large, so it was split into multiple files each under 50 MB in order to be uploaded to GitHub.
21 | 


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/plutushybrid.py:
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  1 | import binascii
  2 | import mnemonic
  3 | import bip32utils
  4 | import random
  5 | import os
  6 | import sys
  7 | import pickle
  8 | import hashlib
  9 | import multiprocessing
 10 | from mnemonic import Mnemonic
 11 | from random import choice, seed
 12 | from binascii import hexlify, unhexlify
 13 | 
 14 | DATABASE = r'database/JAN_13_2020/'   
 15 | 
 16 | def b2h(b):
 17 |     h = hexlify(b)
 18 |     return h if sys.version < "3" else h.decode("utf8")
 19 | 
 20 | def generate_new():
 21 |     mnemo = Mnemonic("english")
 22 |     data = "".join(chr(choice(range(0, 256))) for _ in range(8 * (0 % 3 + 2)))
 23 |     if sys.version >= "3":
 24 |         data = data.encode("latin1")
 25 |     data = b2h(data)
 26 |     mnemonic_words = mnemo.to_mnemonic(unhexlify(data))
 27 |     return mnemonic_words
 28 |   
 29 | def generate_private_key(mnemonic_words):
 30 |     mobj = mnemonic.Mnemonic("english")
 31 |     seed = mobj.to_seed(mnemonic_words)
 32 |     bip32_root_key_obj = bip32utils.BIP32Key.fromEntropy(seed)
 33 |     bip32_child_key_obj = bip32_root_key_obj.ChildKey(
 34 |         44 + bip32utils.BIP32_HARDEN
 35 |     ).ChildKey(
 36 |         0 + bip32utils.BIP32_HARDEN
 37 |     ).ChildKey(
 38 |         0 + bip32utils.BIP32_HARDEN
 39 |     ).ChildKey(0).ChildKey(0)
 40 |     return bip32_child_key_obj.WalletImportFormat()
 41 |     
 42 | def generate_address(mnemonic_words):
 43 |     mobj = mnemonic.Mnemonic("english")
 44 |     seed = mobj.to_seed(mnemonic_words)
 45 |     bip32_root_key_obj = bip32utils.BIP32Key.fromEntropy(seed)
 46 |     bip32_child_key_obj = bip32_root_key_obj.ChildKey(
 47 |         44 + bip32utils.BIP32_HARDEN
 48 |     ).ChildKey(
 49 |         0 + bip32utils.BIP32_HARDEN
 50 |     ).ChildKey(
 51 |         0 + bip32utils.BIP32_HARDEN
 52 |     ).ChildKey(0).ChildKey(0)
 53 |     return bip32_child_key_obj.Address()
 54 | 
 55 | def process(new, private_key, address, database):
 56 | 	"""
 57 | 	Accept an address and query the database. If the address is found in the 
 58 | 	database, then it is assumed to have a balance and the wallet data is 
 59 | 	written to the hard drive. If the address is not in the database, then it 
 60 | 	is assumed to be empty and printed to the user.
 61 | 	Average Time: 0.0000026941 seconds
 62 | 	"""
 63 | 	if address in database[0] or \
 64 | 	   address in database[1] or \
 65 | 	   address in database[2] or \
 66 | 	   address in database[3]:
 67 | 		with open('KEYS.txt', 'a') as file:
 68 | 			file.write('Private Key: ' + str(private_key) + '\n' +
 69 | 				   'Word Seed: ' + str(new) + '\n' +
 70 | 			           'address: ' + str(address) + '\n\n')                      
 71 | 	else: 
 72 | 		print('Address = ', str(address), '\n', 'Private Key = ', str(private_key), '\n', 'Seed = ', str(new))
 73 | 
 74 | def main(database):
 75 | 	"""
 76 | 	Create the main pipeline by using an infinite loop to repeatedly call the 
 77 | 	functions, while utilizing multiprocessing from __main__. Because all the 
 78 | 	functions are relatively fast, it is better to combine them all into 
 79 | 	one process.
 80 | 	"""
 81 | 	while True:
 82 | 		new = generate_new()			# 0.0000061659 seconds
 83 | 		private_key = generate_private_key(new) 	# 0.0031567731 seconds
 84 | 		address = generate_address(new)		# 0.0000801390 seconds
 85 | 		process(new, private_key, address, database) 
 86 | 		
 87 | if __name__ == '__main__':
 88 | 	"""
 89 | 	Deserialize the database and read into a list of sets for easier selection 
 90 | 	and O(1) complexity. Initialize the multiprocessing to target the main 
 91 | 	function with cpu_count() concurrent processes.
 92 | 	"""
 93 | 	database = [set() for _ in range(4)]
 94 | 	count = len(os.listdir(DATABASE))
 95 | 	half = count // 2
 96 | 	quarter = half // 2
 97 | 	for c, p in enumerate(os.listdir(DATABASE)):
 98 | 		print('\rreading database: ' + str(c + 1) + '/' + str(count), end = ' ')
 99 | 		with open(DATABASE + p, 'rb') as file:
100 | 			if c < half:
101 | 				if c < quarter: database[0] = database[0] | pickle.load(file)
102 | 				else: database[1] = database[1] | pickle.load(file)
103 | 			else:
104 | 				if c < half + quarter: database[2] = database[2] | pickle.load(file)
105 | 				else: database[3] = database[3] | pickle.load(file)
106 | 	print('DONE')
107 | 
108 | 	# To verify the database size, remove the # from the line below
109 | 	#print('database size: ' + str(sum(len(i) for i in database))); quit()
110 | 
111 | 	for cpu in range(multiprocessing.cpu_count()):
112 | 		multiprocessing.Process(target = main, args = (database, )).start()
113 | 


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/English Dictionary:
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   1 | "abandon",
   2 | "ability",
   3 | "able",
   4 | "about",
   5 | "above",
   6 | "absent",
   7 | "absorb",
   8 | "abstract",
   9 | "absurd",
  10 | "abuse",
  11 | "access",
  12 | "accident",
  13 | "account",
  14 | "accuse",
  15 | "achieve",
  16 | "acid",
  17 | "acoustic",
  18 | "acquire",
  19 | "across",
  20 | "act",
  21 | "action",
  22 | "actor",
  23 | "actress",
  24 | "actual",
  25 | "adapt",
  26 | "add",
  27 | "addict",
  28 | "address",
  29 | "adjust",
  30 | "admit",
  31 | "adult",
  32 | "advance",
  33 | "advice",
  34 | "aerobic",
  35 | "affair",
  36 | "afford",
  37 | "afraid",
  38 | "again",
  39 | "age",
  40 | "agent",
  41 | "agree",
  42 | "ahead",
  43 | "aim",
  44 | "air",
  45 | "airport",
  46 | "aisle",
  47 | "alarm",
  48 | "album",
  49 | "alcohol",
  50 | "alert",
  51 | "alien",
  52 | "all",
  53 | "alley",
  54 | "allow",
  55 | "almost",
  56 | "alone",
  57 | "alpha",
  58 | "already",
  59 | "also",
  60 | "alter",
  61 | "always",
  62 | "amateur",
  63 | "amazing",
  64 | "among",
  65 | "amount",
  66 | "amused",
  67 | "analyst",
  68 | "anchor",
  69 | "ancient",
  70 | "anger",
  71 | "angle",
  72 | "angry",
  73 | "animal",
  74 | "ankle",
  75 | "announce",
  76 | "annual",
  77 | "another",
  78 | "answer",
  79 | "antenna",
  80 | "antique",
  81 | "anxiety",
  82 | "any",
  83 | "apart",
  84 | "apology",
  85 | "appear",
  86 | "apple",
  87 | "approve",
  88 | "april",
  89 | "arch",
  90 | "arctic",
  91 | "area",
  92 | "arena",
  93 | "argue",
  94 | "arm",
  95 | "armed",
  96 | "armor",
  97 | "army",
  98 | "around",
  99 | "arrange",
 100 | "arrest",
 101 | "arrive",
 102 | "arrow",
 103 | "art",
 104 | "artefact",
 105 | "artist",
 106 | "artwork",
 107 | "ask",
 108 | "aspect",
 109 | "assault",
 110 | "asset",
 111 | "assist",
 112 | "assume",
 113 | "asthma",
 114 | "athlete",
 115 | "atom",
 116 | "attack",
 117 | "attend",
 118 | "attitude",
 119 | "attract",
 120 | "auction",
 121 | "audit",
 122 | "august",
 123 | "aunt",
 124 | "author",
 125 | "auto",
 126 | "autumn",
 127 | "average",
 128 | "avocado",
 129 | "avoid",
 130 | "awake",
 131 | "aware",
 132 | "away",
 133 | "awesome",
 134 | "awful",
 135 | "awkward",
 136 | "axis",
 137 | "baby",
 138 | "bachelor",
 139 | "bacon",
 140 | "badge",
 141 | "bag",
 142 | "balance",
 143 | "balcony",
 144 | "ball",
 145 | "bamboo",
 146 | "banana",
 147 | "banner",
 148 | "bar",
 149 | "barely",
 150 | "bargain",
 151 | "barrel",
 152 | "base",
 153 | "basic",
 154 | "basket",
 155 | "battle",
 156 | "beach",
 157 | "bean",
 158 | "beauty",
 159 | "because",
 160 | "become",
 161 | "beef",
 162 | "before",
 163 | "begin",
 164 | "behave",
 165 | "behind",
 166 | "believe",
 167 | "below",
 168 | "belt",
 169 | "bench",
 170 | "benefit",
 171 | "best",
 172 | "betray",
 173 | "better",
 174 | "between",
 175 | "beyond",
 176 | "bicycle",
 177 | "bid",
 178 | "bike",
 179 | "bind",
 180 | "biology",
 181 | "bird",
 182 | "birth",
 183 | "bitter",
 184 | "black",
 185 | "blade",
 186 | "blame",
 187 | "blanket",
 188 | "blast",
 189 | "bleak",
 190 | "bless",
 191 | "blind",
 192 | "blood",
 193 | "blossom",
 194 | "blouse",
 195 | "blue",
 196 | "blur",
 197 | "blush",
 198 | "board",
 199 | "boat",
 200 | "body",
 201 | "boil",
 202 | "bomb",
 203 | "bone",
 204 | "bonus",
 205 | "book",
 206 | "boost",
 207 | "border",
 208 | "boring",
 209 | "borrow",
 210 | "boss",
 211 | "bottom",
 212 | "bounce",
 213 | "box",
 214 | "boy",
 215 | "bracket",
 216 | "brain",
 217 | "brand",
 218 | "brass",
 219 | "brave",
 220 | "bread",
 221 | "breeze",
 222 | "brick",
 223 | "bridge",
 224 | "brief",
 225 | "bright",
 226 | "bring",
 227 | "brisk",
 228 | "broccoli",
 229 | "broken",
 230 | "bronze",
 231 | "broom",
 232 | "brother",
 233 | "brown",
 234 | "brush",
 235 | "bubble",
 236 | "buddy",
 237 | "budget",
 238 | "buffalo",
 239 | "build",
 240 | "bulb",
 241 | "bulk",
 242 | "bullet",
 243 | "bundle",
 244 | "bunker",
 245 | "burden",
 246 | "burger",
 247 | "burst",
 248 | "bus",
 249 | "business",
 250 | "busy",
 251 | "butter",
 252 | "buyer",
 253 | "buzz",
 254 | "cabbage",
 255 | "cabin",
 256 | "cable",
 257 | "cactus",
 258 | "cage",
 259 | "cake",
 260 | "call",
 261 | "calm",
 262 | "camera",
 263 | "camp",
 264 | "can",
 265 | "canal",
 266 | "cancel",
 267 | "candy",
 268 | "cannon",
 269 | "canoe",
 270 | "canvas",
 271 | "canyon",
 272 | "capable",
 273 | "capital",
 274 | "captain",
 275 | "car",
 276 | "carbon",
 277 | "card",
 278 | "cargo",
 279 | "carpet",
 280 | "carry",
 281 | "cart",
 282 | "case",
 283 | "cash",
 284 | "casino",
 285 | "castle",
 286 | "casual",
 287 | "cat",
 288 | "catalog",
 289 | "catch",
 290 | "category",
 291 | "cattle",
 292 | "caught",
 293 | "cause",
 294 | "caution",
 295 | "cave",
 296 | "ceiling",
 297 | "celery",
 298 | "cement",
 299 | "census",
 300 | "century",
 301 | "cereal",
 302 | "certain",
 303 | "chair",
 304 | "chalk",
 305 | "champion",
 306 | "change",
 307 | "chaos",
 308 | "chapter",
 309 | "charge",
 310 | "chase",
 311 | "chat",
 312 | "cheap",
 313 | "check",
 314 | "cheese",
 315 | "chef",
 316 | "cherry",
 317 | "chest",
 318 | "chicken",
 319 | "chief",
 320 | "child",
 321 | "chimney",
 322 | "choice",
 323 | "choose",
 324 | "chronic",
 325 | "chuckle",
 326 | "chunk",
 327 | "churn",
 328 | "cigar",
 329 | "cinnamon",
 330 | "circle",
 331 | "citizen",
 332 | "city",
 333 | "civil",
 334 | "claim",
 335 | "clap",
 336 | "clarify",
 337 | "claw",
 338 | "clay",
 339 | "clean",
 340 | "clerk",
 341 | "clever",
 342 | "click",
 343 | "client",
 344 | "cliff",
 345 | "climb",
 346 | "clinic",
 347 | "clip",
 348 | "clock",
 349 | "clog",
 350 | "close",
 351 | "cloth",
 352 | "cloud",
 353 | "clown",
 354 | "club",
 355 | "clump",
 356 | "cluster",
 357 | "clutch",
 358 | "coach",
 359 | "coast",
 360 | "coconut",
 361 | "code",
 362 | "coffee",
 363 | "coil",
 364 | "coin",
 365 | "collect",
 366 | "color",
 367 | "column",
 368 | "combine",
 369 | "come",
 370 | "comfort",
 371 | "comic",
 372 | "common",
 373 | "company",
 374 | "concert",
 375 | "conduct",
 376 | "confirm",
 377 | "congress",
 378 | "connect",
 379 | "consider",
 380 | "control",
 381 | "convince",
 382 | "cook",
 383 | "cool",
 384 | "copper",
 385 | "copy",
 386 | "coral",
 387 | "core",
 388 | "corn",
 389 | "correct",
 390 | "cost",
 391 | "cotton",
 392 | "couch",
 393 | "country",
 394 | "couple",
 395 | "course",
 396 | "cousin",
 397 | "cover",
 398 | "coyote",
 399 | "crack",
 400 | "cradle",
 401 | "craft",
 402 | "cram",
 403 | "crane",
 404 | "crash",
 405 | "crater",
 406 | "crawl",
 407 | "crazy",
 408 | "cream",
 409 | "credit",
 410 | "creek",
 411 | "crew",
 412 | "cricket",
 413 | "crime",
 414 | "crisp",
 415 | "critic",
 416 | "crop",
 417 | "cross",
 418 | "crouch",
 419 | "crowd",
 420 | "crucial",
 421 | "cruel",
 422 | "cruise",
 423 | "crumble",
 424 | "crunch",
 425 | "crush",
 426 | "cry",
 427 | "crystal",
 428 | "cube",
 429 | "culture",
 430 | "cup",
 431 | "cupboard",
 432 | "curious",
 433 | "current",
 434 | "curtain",
 435 | "curve",
 436 | "cushion",
 437 | "custom",
 438 | "cute",
 439 | "cycle",
 440 | "dad",
 441 | "damage",
 442 | "damp",
 443 | "dance",
 444 | "danger",
 445 | "daring",
 446 | "dash",
 447 | "daughter",
 448 | "dawn",
 449 | "day",
 450 | "deal",
 451 | "debate",
 452 | "debris",
 453 | "decade",
 454 | "december",
 455 | "decide",
 456 | "decline",
 457 | "decorate",
 458 | "decrease",
 459 | "deer",
 460 | "defense",
 461 | "define",
 462 | "defy",
 463 | "degree",
 464 | "delay",
 465 | "deliver",
 466 | "demand",
 467 | "demise",
 468 | "denial",
 469 | "dentist",
 470 | "deny",
 471 | "depart",
 472 | "depend",
 473 | "deposit",
 474 | "depth",
 475 | "deputy",
 476 | "derive",
 477 | "describe",
 478 | "desert",
 479 | "design",
 480 | "desk",
 481 | "despair",
 482 | "destroy",
 483 | "detail",
 484 | "detect",
 485 | "develop",
 486 | "device",
 487 | "devote",
 488 | "diagram",
 489 | "dial",
 490 | "diamond",
 491 | "diary",
 492 | "dice",
 493 | "diesel",
 494 | "diet",
 495 | "differ",
 496 | "digital",
 497 | "dignity",
 498 | "dilemma",
 499 | "dinner",
 500 | "dinosaur",
 501 | "direct",
 502 | "dirt",
 503 | "disagree",
 504 | "discover",
 505 | "disease",
 506 | "dish",
 507 | "dismiss",
 508 | "disorder",
 509 | "display",
 510 | "distance",
 511 | "divert",
 512 | "divide",
 513 | "divorce",
 514 | "dizzy",
 515 | "doctor",
 516 | "document",
 517 | "dog",
 518 | "doll",
 519 | "dolphin",
 520 | "domain",
 521 | "donate",
 522 | "donkey",
 523 | "donor",
 524 | "door",
 525 | "dose",
 526 | "double",
 527 | "dove",
 528 | "draft",
 529 | "dragon",
 530 | "drama",
 531 | "drastic",
 532 | "draw",
 533 | "dream",
 534 | "dress",
 535 | "drift",
 536 | "drill",
 537 | "drink",
 538 | "drip",
 539 | "drive",
 540 | "drop",
 541 | "drum",
 542 | "dry",
 543 | "duck",
 544 | "dumb",
 545 | "dune",
 546 | "during",
 547 | "dust",
 548 | "dutch",
 549 | "duty",
 550 | "dwarf",
 551 | "dynamic",
 552 | "eager",
 553 | "eagle",
 554 | "early",
 555 | "earn",
 556 | "earth",
 557 | "easily",
 558 | "east",
 559 | "easy",
 560 | "echo",
 561 | "ecology",
 562 | "economy",
 563 | "edge",
 564 | "edit",
 565 | "educate",
 566 | "effort",
 567 | "egg",
 568 | "eight",
 569 | "either",
 570 | "elbow",
 571 | "elder",
 572 | "electric",
 573 | "elegant",
 574 | "element",
 575 | "elephant",
 576 | "elevator",
 577 | "elite",
 578 | "else",
 579 | "embark",
 580 | "embody",
 581 | "embrace",
 582 | "emerge",
 583 | "emotion",
 584 | "employ",
 585 | "empower",
 586 | "empty",
 587 | "enable",
 588 | "enact",
 589 | "end",
 590 | "endless",
 591 | "endorse",
 592 | "enemy",
 593 | "energy",
 594 | "enforce",
 595 | "engage",
 596 | "engine",
 597 | "enhance",
 598 | "enjoy",
 599 | "enlist",
 600 | "enough",
 601 | "enrich",
 602 | "enroll",
 603 | "ensure",
 604 | "enter",
 605 | "entire",
 606 | "entry",
 607 | "envelope",
 608 | "episode",
 609 | "equal",
 610 | "equip",
 611 | "era",
 612 | "erase",
 613 | "erode",
 614 | "erosion",
 615 | "error",
 616 | "erupt",
 617 | "escape",
 618 | "essay",
 619 | "essence",
 620 | "estate",
 621 | "eternal",
 622 | "ethics",
 623 | "evidence",
 624 | "evil",
 625 | "evoke",
 626 | "evolve",
 627 | "exact",
 628 | "example",
 629 | "excess",
 630 | "exchange",
 631 | "excite",
 632 | "exclude",
 633 | "excuse",
 634 | "execute",
 635 | "exercise",
 636 | "exhaust",
 637 | "exhibit",
 638 | "exile",
 639 | "exist",
 640 | "exit",
 641 | "exotic",
 642 | "expand",
 643 | "expect",
 644 | "expire",
 645 | "explain",
 646 | "expose",
 647 | "express",
 648 | "extend",
 649 | "extra",
 650 | "eye",
 651 | "eyebrow",
 652 | "fabric",
 653 | "face",
 654 | "faculty",
 655 | "fade",
 656 | "faint",
 657 | "faith",
 658 | "fall",
 659 | "false",
 660 | "fame",
 661 | "family",
 662 | "famous",
 663 | "fan",
 664 | "fancy",
 665 | "fantasy",
 666 | "farm",
 667 | "fashion",
 668 | "fat",
 669 | "fatal",
 670 | "father",
 671 | "fatigue",
 672 | "fault",
 673 | "favorite",
 674 | "feature",
 675 | "february",
 676 | "federal",
 677 | "fee",
 678 | "feed",
 679 | "feel",
 680 | "female",
 681 | "fence",
 682 | "festival",
 683 | "fetch",
 684 | "fever",
 685 | "few",
 686 | "fiber",
 687 | "fiction",
 688 | "field",
 689 | "figure",
 690 | "file",
 691 | "film",
 692 | "filter",
 693 | "final",
 694 | "find",
 695 | "fine",
 696 | "finger",
 697 | "finish",
 698 | "fire",
 699 | "firm",
 700 | "first",
 701 | "fiscal",
 702 | "fish",
 703 | "fit",
 704 | "fitness",
 705 | "fix",
 706 | "flag",
 707 | "flame",
 708 | "flash",
 709 | "flat",
 710 | "flavor",
 711 | "flee",
 712 | "flight",
 713 | "flip",
 714 | "float",
 715 | "flock",
 716 | "floor",
 717 | "flower",
 718 | "fluid",
 719 | "flush",
 720 | "fly",
 721 | "foam",
 722 | "focus",
 723 | "fog",
 724 | "foil",
 725 | "fold",
 726 | "follow",
 727 | "food",
 728 | "foot",
 729 | "force",
 730 | "forest",
 731 | "forget",
 732 | "fork",
 733 | "fortune",
 734 | "forum",
 735 | "forward",
 736 | "fossil",
 737 | "foster",
 738 | "found",
 739 | "fox",
 740 | "fragile",
 741 | "frame",
 742 | "frequent",
 743 | "fresh",
 744 | "friend",
 745 | "fringe",
 746 | "frog",
 747 | "front",
 748 | "frost",
 749 | "frown",
 750 | "frozen",
 751 | "fruit",
 752 | "fuel",
 753 | "fun",
 754 | "funny",
 755 | "furnace",
 756 | "fury",
 757 | "future",
 758 | "gadget",
 759 | "gain",
 760 | "galaxy",
 761 | "gallery",
 762 | "game",
 763 | "gap",
 764 | "garage",
 765 | "garbage",
 766 | "garden",
 767 | "garlic",
 768 | "garment",
 769 | "gas",
 770 | "gasp",
 771 | "gate",
 772 | "gather",
 773 | "gauge",
 774 | "gaze",
 775 | "general",
 776 | "genius",
 777 | "genre",
 778 | "gentle",
 779 | "genuine",
 780 | "gesture",
 781 | "ghost",
 782 | "giant",
 783 | "gift",
 784 | "giggle",
 785 | "ginger",
 786 | "giraffe",
 787 | "girl",
 788 | "give",
 789 | "glad",
 790 | "glance",
 791 | "glare",
 792 | "glass",
 793 | "glide",
 794 | "glimpse",
 795 | "globe",
 796 | "gloom",
 797 | "glory",
 798 | "glove",
 799 | "glow",
 800 | "glue",
 801 | "goat",
 802 | "goddess",
 803 | "gold",
 804 | "good",
 805 | "goose",
 806 | "gorilla",
 807 | "gospel",
 808 | "gossip",
 809 | "govern",
 810 | "gown",
 811 | "grab",
 812 | "grace",
 813 | "grain",
 814 | "grant",
 815 | "grape",
 816 | "grass",
 817 | "gravity",
 818 | "great",
 819 | "green",
 820 | "grid",
 821 | "grief",
 822 | "grit",
 823 | "grocery",
 824 | "group",
 825 | "grow",
 826 | "grunt",
 827 | "guard",
 828 | "guess",
 829 | "guide",
 830 | "guilt",
 831 | "guitar",
 832 | "gun",
 833 | "gym",
 834 | "habit",
 835 | "hair",
 836 | "half",
 837 | "hammer",
 838 | "hamster",
 839 | "hand",
 840 | "happy",
 841 | "harbor",
 842 | "hard",
 843 | "harsh",
 844 | "harvest",
 845 | "hat",
 846 | "have",
 847 | "hawk",
 848 | "hazard",
 849 | "head",
 850 | "health",
 851 | "heart",
 852 | "heavy",
 853 | "hedgehog",
 854 | "height",
 855 | "hello",
 856 | "helmet",
 857 | "help",
 858 | "hen",
 859 | "hero",
 860 | "hidden",
 861 | "high",
 862 | "hill",
 863 | "hint",
 864 | "hip",
 865 | "hire",
 866 | "history",
 867 | "hobby",
 868 | "hockey",
 869 | "hold",
 870 | "hole",
 871 | "holiday",
 872 | "hollow",
 873 | "home",
 874 | "honey",
 875 | "hood",
 876 | "hope",
 877 | "horn",
 878 | "horror",
 879 | "horse",
 880 | "hospital",
 881 | "host",
 882 | "hotel",
 883 | "hour",
 884 | "hover",
 885 | "hub",
 886 | "huge",
 887 | "human",
 888 | "humble",
 889 | "humor",
 890 | "hundred",
 891 | "hungry",
 892 | "hunt",
 893 | "hurdle",
 894 | "hurry",
 895 | "hurt",
 896 | "husband",
 897 | "hybrid",
 898 | "ice",
 899 | "icon",
 900 | "idea",
 901 | "identify",
 902 | "idle",
 903 | "ignore",
 904 | "ill",
 905 | "illegal",
 906 | "illness",
 907 | "image",
 908 | "imitate",
 909 | "immense",
 910 | "immune",
 911 | "impact",
 912 | "impose",
 913 | "improve",
 914 | "impulse",
 915 | "inch",
 916 | "include",
 917 | "income",
 918 | "increase",
 919 | "index",
 920 | "indicate",
 921 | "indoor",
 922 | "industry",
 923 | "infant",
 924 | "inflict",
 925 | "inform",
 926 | "inhale",
 927 | "inherit",
 928 | "initial",
 929 | "inject",
 930 | "injury",
 931 | "inmate",
 932 | "inner",
 933 | "innocent",
 934 | "input",
 935 | "inquiry",
 936 | "insane",
 937 | "insect",
 938 | "inside",
 939 | "inspire",
 940 | "install",
 941 | "intact",
 942 | "interest",
 943 | "into",
 944 | "invest",
 945 | "invite",
 946 | "involve",
 947 | "iron",
 948 | "island",
 949 | "isolate",
 950 | "issue",
 951 | "item",
 952 | "ivory",
 953 | "jacket",
 954 | "jaguar",
 955 | "jar",
 956 | "jazz",
 957 | "jealous",
 958 | "jeans",
 959 | "jelly",
 960 | "jewel",
 961 | "job",
 962 | "join",
 963 | "joke",
 964 | "journey",
 965 | "joy",
 966 | "judge",
 967 | "juice",
 968 | "jump",
 969 | "jungle",
 970 | "junior",
 971 | "junk",
 972 | "just",
 973 | "kangaroo",
 974 | "keen",
 975 | "keep",
 976 | "ketchup",
 977 | "key",
 978 | "kick",
 979 | "kid",
 980 | "kidney",
 981 | "kind",
 982 | "kingdom",
 983 | "kiss",
 984 | "kit",
 985 | "kitchen",
 986 | "kite",
 987 | "kitten",
 988 | "kiwi",
 989 | "knee",
 990 | "knife",
 991 | "knock",
 992 | "know",
 993 | "lab",
 994 | "label",
 995 | "labor",
 996 | "ladder",
 997 | "lady",
 998 | "lake",
 999 | "lamp",
1000 | "language",
1001 | "laptop",
1002 | "large",
1003 | "later",
1004 | "latin",
1005 | "laugh",
1006 | "laundry",
1007 | "lava",
1008 | "law",
1009 | "lawn",
1010 | "lawsuit",
1011 | "layer",
1012 | "lazy",
1013 | "leader",
1014 | "leaf",
1015 | "learn",
1016 | "leave",
1017 | "lecture",
1018 | "left",
1019 | "leg",
1020 | "legal",
1021 | "legend",
1022 | "leisure",
1023 | "lemon",
1024 | "lend",
1025 | "length",
1026 | "lens",
1027 | "leopard",
1028 | "lesson",
1029 | "letter",
1030 | "level",
1031 | "liar",
1032 | "liberty",
1033 | "library",
1034 | "license",
1035 | "life",
1036 | "lift",
1037 | "light",
1038 | "like",
1039 | "limb",
1040 | "limit",
1041 | "link",
1042 | "lion",
1043 | "liquid",
1044 | "list",
1045 | "little",
1046 | "live",
1047 | "lizard",
1048 | "load",
1049 | "loan",
1050 | "lobster",
1051 | "local",
1052 | "lock",
1053 | "logic",
1054 | "lonely",
1055 | "long",
1056 | "loop",
1057 | "lottery",
1058 | "loud",
1059 | "lounge",
1060 | "love",
1061 | "loyal",
1062 | "lucky",
1063 | "luggage",
1064 | "lumber",
1065 | "lunar",
1066 | "lunch",
1067 | "luxury",
1068 | "lyrics",
1069 | "machine",
1070 | "mad",
1071 | "magic",
1072 | "magnet",
1073 | "maid",
1074 | "mail",
1075 | "main",
1076 | "major",
1077 | "make",
1078 | "mammal",
1079 | "man",
1080 | "manage",
1081 | "mandate",
1082 | "mango",
1083 | "mansion",
1084 | "manual",
1085 | "maple",
1086 | "marble",
1087 | "march",
1088 | "margin",
1089 | "marine",
1090 | "market",
1091 | "marriage",
1092 | "mask",
1093 | "mass",
1094 | "master",
1095 | "match",
1096 | "material",
1097 | "math",
1098 | "matrix",
1099 | "matter",
1100 | "maximum",
1101 | "maze",
1102 | "meadow",
1103 | "mean",
1104 | "measure",
1105 | "meat",
1106 | "mechanic",
1107 | "medal",
1108 | "media",
1109 | "melody",
1110 | "melt",
1111 | "member",
1112 | "memory",
1113 | "mention",
1114 | "menu",
1115 | "mercy",
1116 | "merge",
1117 | "merit",
1118 | "merry",
1119 | "mesh",
1120 | "message",
1121 | "metal",
1122 | "method",
1123 | "middle",
1124 | "midnight",
1125 | "milk",
1126 | "million",
1127 | "mimic",
1128 | "mind",
1129 | "minimum",
1130 | "minor",
1131 | "minute",
1132 | "miracle",
1133 | "mirror",
1134 | "misery",
1135 | "miss",
1136 | "mistake",
1137 | "mix",
1138 | "mixed",
1139 | "mixture",
1140 | "mobile",
1141 | "model",
1142 | "modify",
1143 | "mom",
1144 | "moment",
1145 | "monitor",
1146 | "monkey",
1147 | "monster",
1148 | "month",
1149 | "moon",
1150 | "moral",
1151 | "more",
1152 | "morning",
1153 | "mosquito",
1154 | "mother",
1155 | "motion",
1156 | "motor",
1157 | "mountain",
1158 | "mouse",
1159 | "move",
1160 | "movie",
1161 | "much",
1162 | "muffin",
1163 | "mule",
1164 | "multiply",
1165 | "muscle",
1166 | "museum",
1167 | "mushroom",
1168 | "music",
1169 | "must",
1170 | "mutual",
1171 | "myself",
1172 | "mystery",
1173 | "myth",
1174 | "naive",
1175 | "name",
1176 | "napkin",
1177 | "narrow",
1178 | "nasty",
1179 | "nation",
1180 | "nature",
1181 | "near",
1182 | "neck",
1183 | "need",
1184 | "negative",
1185 | "neglect",
1186 | "neither",
1187 | "nephew",
1188 | "nerve",
1189 | "nest",
1190 | "net",
1191 | "network",
1192 | "neutral",
1193 | "never",
1194 | "news",
1195 | "next",
1196 | "nice",
1197 | "night",
1198 | "noble",
1199 | "noise",
1200 | "nominee",
1201 | "noodle",
1202 | "normal",
1203 | "north",
1204 | "nose",
1205 | "notable",
1206 | "note",
1207 | "nothing",
1208 | "notice",
1209 | "novel",
1210 | "now",
1211 | "nuclear",
1212 | "number",
1213 | "nurse",
1214 | "nut",
1215 | "oak",
1216 | "obey",
1217 | "object",
1218 | "oblige",
1219 | "obscure",
1220 | "observe",
1221 | "obtain",
1222 | "obvious",
1223 | "occur",
1224 | "ocean",
1225 | "october",
1226 | "odor",
1227 | "off",
1228 | "offer",
1229 | "office",
1230 | "often",
1231 | "oil",
1232 | "okay",
1233 | "old",
1234 | "olive",
1235 | "olympic",
1236 | "omit",
1237 | "once",
1238 | "one",
1239 | "onion",
1240 | "online",
1241 | "only",
1242 | "open",
1243 | "opera",
1244 | "opinion",
1245 | "oppose",
1246 | "option",
1247 | "orange",
1248 | "orbit",
1249 | "orchard",
1250 | "order",
1251 | "ordinary",
1252 | "organ",
1253 | "orient",
1254 | "original",
1255 | "orphan",
1256 | "ostrich",
1257 | "other",
1258 | "outdoor",
1259 | "outer",
1260 | "output",
1261 | "outside",
1262 | "oval",
1263 | "oven",
1264 | "over",
1265 | "own",
1266 | "owner",
1267 | "oxygen",
1268 | "oyster",
1269 | "ozone",
1270 | "pact",
1271 | "paddle",
1272 | "page",
1273 | "pair",
1274 | "palace",
1275 | "palm",
1276 | "panda",
1277 | "panel",
1278 | "panic",
1279 | "panther",
1280 | "paper",
1281 | "parade",
1282 | "parent",
1283 | "park",
1284 | "parrot",
1285 | "party",
1286 | "pass",
1287 | "patch",
1288 | "path",
1289 | "patient",
1290 | "patrol",
1291 | "pattern",
1292 | "pause",
1293 | "pave",
1294 | "payment",
1295 | "peace",
1296 | "peanut",
1297 | "pear",
1298 | "peasant",
1299 | "pelican",
1300 | "pen",
1301 | "penalty",
1302 | "pencil",
1303 | "people",
1304 | "pepper",
1305 | "perfect",
1306 | "permit",
1307 | "person",
1308 | "pet",
1309 | "phone",
1310 | "photo",
1311 | "phrase",
1312 | "physical",
1313 | "piano",
1314 | "picnic",
1315 | "picture",
1316 | "piece",
1317 | "pig",
1318 | "pigeon",
1319 | "pill",
1320 | "pilot",
1321 | "pink",
1322 | "pioneer",
1323 | "pipe",
1324 | "pistol",
1325 | "pitch",
1326 | "pizza",
1327 | "place",
1328 | "planet",
1329 | "plastic",
1330 | "plate",
1331 | "play",
1332 | "please",
1333 | "pledge",
1334 | "pluck",
1335 | "plug",
1336 | "plunge",
1337 | "poem",
1338 | "poet",
1339 | "point",
1340 | "polar",
1341 | "pole",
1342 | "police",
1343 | "pond",
1344 | "pony",
1345 | "pool",
1346 | "popular",
1347 | "portion",
1348 | "position",
1349 | "possible",
1350 | "post",
1351 | "potato",
1352 | "pottery",
1353 | "poverty",
1354 | "powder",
1355 | "power",
1356 | "practice",
1357 | "praise",
1358 | "predict",
1359 | "prefer",
1360 | "prepare",
1361 | "present",
1362 | "pretty",
1363 | "prevent",
1364 | "price",
1365 | "pride",
1366 | "primary",
1367 | "print",
1368 | "priority",
1369 | "prison",
1370 | "private",
1371 | "prize",
1372 | "problem",
1373 | "process",
1374 | "produce",
1375 | "profit",
1376 | "program",
1377 | "project",
1378 | "promote",
1379 | "proof",
1380 | "property",
1381 | "prosper",
1382 | "protect",
1383 | "proud",
1384 | "provide",
1385 | "public",
1386 | "pudding",
1387 | "pull",
1388 | "pulp",
1389 | "pulse",
1390 | "pumpkin",
1391 | "punch",
1392 | "pupil",
1393 | "puppy",
1394 | "purchase",
1395 | "purity",
1396 | "purpose",
1397 | "purse",
1398 | "push",
1399 | "put",
1400 | "puzzle",
1401 | "pyramid",
1402 | "quality",
1403 | "quantum",
1404 | "quarter",
1405 | "question",
1406 | "quick",
1407 | "quit",
1408 | "quiz",
1409 | "quote",
1410 | "rabbit",
1411 | "raccoon",
1412 | "race",
1413 | "rack",
1414 | "radar",
1415 | "radio",
1416 | "rail",
1417 | "rain",
1418 | "raise",
1419 | "rally",
1420 | "ramp",
1421 | "ranch",
1422 | "random",
1423 | "range",
1424 | "rapid",
1425 | "rare",
1426 | "rate",
1427 | "rather",
1428 | "raven",
1429 | "raw",
1430 | "razor",
1431 | "ready",
1432 | "real",
1433 | "reason",
1434 | "rebel",
1435 | "rebuild",
1436 | "recall",
1437 | "receive",
1438 | "recipe",
1439 | "record",
1440 | "recycle",
1441 | "reduce",
1442 | "reflect",
1443 | "reform",
1444 | "refuse",
1445 | "region",
1446 | "regret",
1447 | "regular",
1448 | "reject",
1449 | "relax",
1450 | "release",
1451 | "relief",
1452 | "rely",
1453 | "remain",
1454 | "remember",
1455 | "remind",
1456 | "remove",
1457 | "render",
1458 | "renew",
1459 | "rent",
1460 | "reopen",
1461 | "repair",
1462 | "repeat",
1463 | "replace",
1464 | "report",
1465 | "require",
1466 | "rescue",
1467 | "resemble",
1468 | "resist",
1469 | "resource",
1470 | "response",
1471 | "result",
1472 | "retire",
1473 | "retreat",
1474 | "return",
1475 | "reunion",
1476 | "reveal",
1477 | "review",
1478 | "reward",
1479 | "rhythm",
1480 | "rib",
1481 | "ribbon",
1482 | "rice",
1483 | "rich",
1484 | "ride",
1485 | "ridge",
1486 | "rifle",
1487 | "right",
1488 | "rigid",
1489 | "ring",
1490 | "riot",
1491 | "ripple",
1492 | "risk",
1493 | "ritual",
1494 | "rival",
1495 | "river",
1496 | "road",
1497 | "roast",
1498 | "robot",
1499 | "robust",
1500 | "rocket",
1501 | "romance",
1502 | "roof",
1503 | "rookie",
1504 | "room",
1505 | "rose",
1506 | "rotate",
1507 | "rough",
1508 | "round",
1509 | "route",
1510 | "royal",
1511 | "rubber",
1512 | "rude",
1513 | "rug",
1514 | "rule",
1515 | "run",
1516 | "runway",
1517 | "rural",
1518 | "sad",
1519 | "saddle",
1520 | "sadness",
1521 | "safe",
1522 | "sail",
1523 | "salad",
1524 | "salmon",
1525 | "salon",
1526 | "salt",
1527 | "salute",
1528 | "same",
1529 | "sample",
1530 | "sand",
1531 | "satisfy",
1532 | "satoshi",
1533 | "sauce",
1534 | "sausage",
1535 | "save",
1536 | "say",
1537 | "scale",
1538 | "scan",
1539 | "scare",
1540 | "scatter",
1541 | "scene",
1542 | "scheme",
1543 | "school",
1544 | "science",
1545 | "scissors",
1546 | "scorpion",
1547 | "scout",
1548 | "scrap",
1549 | "screen",
1550 | "script",
1551 | "scrub",
1552 | "sea",
1553 | "search",
1554 | "season",
1555 | "seat",
1556 | "second",
1557 | "secret",
1558 | "section",
1559 | "security",
1560 | "seed",
1561 | "seek",
1562 | "segment",
1563 | "select",
1564 | "sell",
1565 | "seminar",
1566 | "senior",
1567 | "sense",
1568 | "sentence",
1569 | "series",
1570 | "service",
1571 | "session",
1572 | "settle",
1573 | "setup",
1574 | "seven",
1575 | "shadow",
1576 | "shaft",
1577 | "shallow",
1578 | "share",
1579 | "shed",
1580 | "shell",
1581 | "sheriff",
1582 | "shield",
1583 | "shift",
1584 | "shine",
1585 | "ship",
1586 | "shiver",
1587 | "shock",
1588 | "shoe",
1589 | "shoot",
1590 | "shop",
1591 | "short",
1592 | "shoulder",
1593 | "shove",
1594 | "shrimp",
1595 | "shrug",
1596 | "shuffle",
1597 | "shy",
1598 | "sibling",
1599 | "sick",
1600 | "side",
1601 | "siege",
1602 | "sight",
1603 | "sign",
1604 | "silent",
1605 | "silk",
1606 | "silly",
1607 | "silver",
1608 | "similar",
1609 | "simple",
1610 | "since",
1611 | "sing",
1612 | "siren",
1613 | "sister",
1614 | "situate",
1615 | "six",
1616 | "size",
1617 | "skate",
1618 | "sketch",
1619 | "ski",
1620 | "skill",
1621 | "skin",
1622 | "skirt",
1623 | "skull",
1624 | "slab",
1625 | "slam",
1626 | "sleep",
1627 | "slender",
1628 | "slice",
1629 | "slide",
1630 | "slight",
1631 | "slim",
1632 | "slogan",
1633 | "slot",
1634 | "slow",
1635 | "slush",
1636 | "small",
1637 | "smart",
1638 | "smile",
1639 | "smoke",
1640 | "smooth",
1641 | "snack",
1642 | "snake",
1643 | "snap",
1644 | "sniff",
1645 | "snow",
1646 | "soap",
1647 | "soccer",
1648 | "social",
1649 | "sock",
1650 | "soda",
1651 | "soft",
1652 | "solar",
1653 | "soldier",
1654 | "solid",
1655 | "solution",
1656 | "solve",
1657 | "someone",
1658 | "song",
1659 | "soon",
1660 | "sorry",
1661 | "sort",
1662 | "soul",
1663 | "sound",
1664 | "soup",
1665 | "source",
1666 | "south",
1667 | "space",
1668 | "spare",
1669 | "spatial",
1670 | "spawn",
1671 | "speak",
1672 | "special",
1673 | "speed",
1674 | "spell",
1675 | "spend",
1676 | "sphere",
1677 | "spice",
1678 | "spider",
1679 | "spike",
1680 | "spin",
1681 | "spirit",
1682 | "split",
1683 | "spoil",
1684 | "sponsor",
1685 | "spoon",
1686 | "sport",
1687 | "spot",
1688 | "spray",
1689 | "spread",
1690 | "spring",
1691 | "spy",
1692 | "square",
1693 | "squeeze",
1694 | "squirrel",
1695 | "stable",
1696 | "stadium",
1697 | "staff",
1698 | "stage",
1699 | "stairs",
1700 | "stamp",
1701 | "stand",
1702 | "start",
1703 | "state",
1704 | "stay",
1705 | "steak",
1706 | "steel",
1707 | "stem",
1708 | "step",
1709 | "stereo",
1710 | "stick",
1711 | "still",
1712 | "sting",
1713 | "stock",
1714 | "stomach",
1715 | "stone",
1716 | "stool",
1717 | "story",
1718 | "stove",
1719 | "strategy",
1720 | "street",
1721 | "strike",
1722 | "strong",
1723 | "struggle",
1724 | "student",
1725 | "stuff",
1726 | "stumble",
1727 | "style",
1728 | "subject",
1729 | "submit",
1730 | "subway",
1731 | "success",
1732 | "such",
1733 | "sudden",
1734 | "suffer",
1735 | "sugar",
1736 | "suggest",
1737 | "suit",
1738 | "summer",
1739 | "sun",
1740 | "sunny",
1741 | "sunset",
1742 | "super",
1743 | "supply",
1744 | "supreme",
1745 | "sure",
1746 | "surface",
1747 | "surge",
1748 | "surprise",
1749 | "surround",
1750 | "survey",
1751 | "suspect",
1752 | "sustain",
1753 | "swallow",
1754 | "swamp",
1755 | "swap",
1756 | "swarm",
1757 | "swear",
1758 | "sweet",
1759 | "swift",
1760 | "swim",
1761 | "swing",
1762 | "switch",
1763 | "sword",
1764 | "symbol",
1765 | "symptom",
1766 | "syrup",
1767 | "system",
1768 | "table",
1769 | "tackle",
1770 | "tag",
1771 | "tail",
1772 | "talent",
1773 | "talk",
1774 | "tank",
1775 | "tape",
1776 | "target",
1777 | "task",
1778 | "taste",
1779 | "tattoo",
1780 | "taxi",
1781 | "teach",
1782 | "team",
1783 | "tell",
1784 | "ten",
1785 | "tenant",
1786 | "tennis",
1787 | "tent",
1788 | "term",
1789 | "test",
1790 | "text",
1791 | "thank",
1792 | "that",
1793 | "theme",
1794 | "then",
1795 | "theory",
1796 | "there",
1797 | "they",
1798 | "thing",
1799 | "this",
1800 | "thought",
1801 | "three",
1802 | "thrive",
1803 | "throw",
1804 | "thumb",
1805 | "thunder",
1806 | "ticket",
1807 | "tide",
1808 | "tiger",
1809 | "tilt",
1810 | "timber",
1811 | "time",
1812 | "tiny",
1813 | "tip",
1814 | "tired",
1815 | "tissue",
1816 | "title",
1817 | "toast",
1818 | "tobacco",
1819 | "today",
1820 | "toddler",
1821 | "toe",
1822 | "together",
1823 | "toilet",
1824 | "token",
1825 | "tomato",
1826 | "tomorrow",
1827 | "tone",
1828 | "tongue",
1829 | "tonight",
1830 | "tool",
1831 | "tooth",
1832 | "top",
1833 | "topic",
1834 | "topple",
1835 | "torch",
1836 | "tornado",
1837 | "tortoise",
1838 | "toss",
1839 | "total",
1840 | "tourist",
1841 | "toward",
1842 | "tower",
1843 | "town",
1844 | "toy",
1845 | "track",
1846 | "trade",
1847 | "traffic",
1848 | "tragic",
1849 | "train",
1850 | "transfer",
1851 | "trap",
1852 | "trash",
1853 | "travel",
1854 | "tray",
1855 | "treat",
1856 | "tree",
1857 | "trend",
1858 | "trial",
1859 | "tribe",
1860 | "trick",
1861 | "trigger",
1862 | "trim",
1863 | "trip",
1864 | "trophy",
1865 | "trouble",
1866 | "truck",
1867 | "true",
1868 | "truly",
1869 | "trumpet",
1870 | "trust",
1871 | "truth",
1872 | "try",
1873 | "tube",
1874 | "tuition",
1875 | "tumble",
1876 | "tuna",
1877 | "tunnel",
1878 | "turkey",
1879 | "turn",
1880 | "turtle",
1881 | "twelve",
1882 | "twenty",
1883 | "twice",
1884 | "twin",
1885 | "twist",
1886 | "two",
1887 | "type",
1888 | "typical",
1889 | "ugly",
1890 | "umbrella",
1891 | "unable",
1892 | "unaware",
1893 | "uncle",
1894 | "uncover",
1895 | "under",
1896 | "undo",
1897 | "unfair",
1898 | "unfold",
1899 | "unhappy",
1900 | "uniform",
1901 | "unique",
1902 | "unit",
1903 | "universe",
1904 | "unknown",
1905 | "unlock",
1906 | "until",
1907 | "unusual",
1908 | "unveil",
1909 | "update",
1910 | "upgrade",
1911 | "uphold",
1912 | "upon",
1913 | "upper",
1914 | "upset",
1915 | "urban",
1916 | "urge",
1917 | "usage",
1918 | "use",
1919 | "used",
1920 | "useful",
1921 | "useless",
1922 | "usual",
1923 | "utility",
1924 | "vacant",
1925 | "vacuum",
1926 | "vague",
1927 | "valid",
1928 | "valley",
1929 | "valve",
1930 | "van",
1931 | "vanish",
1932 | "vapor",
1933 | "various",
1934 | "vast",
1935 | "vault",
1936 | "vehicle",
1937 | "velvet",
1938 | "vendor",
1939 | "venture",
1940 | "venue",
1941 | "verb",
1942 | "verify",
1943 | "version",
1944 | "very",
1945 | "vessel",
1946 | "veteran",
1947 | "viable",
1948 | "vibrant",
1949 | "vicious",
1950 | "victory",
1951 | "video",
1952 | "view",
1953 | "village",
1954 | "vintage",
1955 | "violin",
1956 | "virtual",
1957 | "virus",
1958 | "visa",
1959 | "visit",
1960 | "visual",
1961 | "vital",
1962 | "vivid",
1963 | "vocal",
1964 | "voice",
1965 | "void",
1966 | "volcano",
1967 | "volume",
1968 | "vote",
1969 | "voyage",
1970 | "wage",
1971 | "wagon",
1972 | "wait",
1973 | "walk",
1974 | "wall",
1975 | "walnut",
1976 | "want",
1977 | "warfare",
1978 | "warm",
1979 | "warrior",
1980 | "wash",
1981 | "wasp",
1982 | "waste",
1983 | "water",
1984 | "wave",
1985 | "way",
1986 | "wealth",
1987 | "weapon",
1988 | "wear",
1989 | "weasel",
1990 | "weather",
1991 | "web",
1992 | "wedding",
1993 | "weekend",
1994 | "weird",
1995 | "welcome",
1996 | "west",
1997 | "wet",
1998 | "whale",
1999 | "what",
2000 | "wheat",
2001 | "wheel",
2002 | "when",
2003 | "where",
2004 | "whip",
2005 | "whisper",
2006 | "wide",
2007 | "width",
2008 | "wife",
2009 | "wild",
2010 | "will",
2011 | "win",
2012 | "window",
2013 | "wine",
2014 | "wing",
2015 | "wink",
2016 | "winner",
2017 | "winter",
2018 | "wire",
2019 | "wisdom",
2020 | "wise",
2021 | "wish",
2022 | "witness",
2023 | "wolf",
2024 | "woman",
2025 | "wonder",
2026 | "wood",
2027 | "wool",
2028 | "word",
2029 | "work",
2030 | "world",
2031 | "worry",
2032 | "worth",
2033 | "wrap",
2034 | "wreck",
2035 | "wrestle",
2036 | "wrist",
2037 | "write",
2038 | "wrong",
2039 | "yard",
2040 | "year",
2041 | "yellow",
2042 | "you",
2043 | "young",
2044 | "youth",
2045 | "zebra",
2046 | "zero",
2047 | "zone",
2048 | "zoo"


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