Knowledge (XXG)

No-win situation

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in which a military victory is so costly that the winning side actually ends up worse off than before it started. Looking at the victory as a part of a larger situation, the situation could either be no-win, or more of a win for the other side than the one that won the "victory", or victory at such
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were sometimes bound and then thrown or dunked in water to test their innocence. A witch would float (by calling upon the devil to save her from drowning), and then be executed, but a non-witch would drown (proving her innocence but causing her death).
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For example, the "victorious" side may have accomplished their objective, which may have been worthless; it may also lose a strategic advantage in manpower or positioning. For example, the
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A related concept is sometimes described as "winning the battle but losing the war", where a lesser objective is won, but the greater objective beyond it is not well pursued and is lost.
169:, a "no-win" situation is a circumstance in which no player benefits from any outcome, hence ultimately losing the match. This may be because of any or all of the following: 1478: 200:
A situation in which the player has to accomplish two mutually dependent tasks each of which must be completed before the other or that are mutually exclusive (a
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Unavoidable or unforeseeable circumstances causing the situation to change after decisions have been made. This is common in
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Ignorance of other players' actions, meaning the best decision for all differs from that for any one player (as in the
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that one has not already won characterizes war as a no-win situation. A similar example is the
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or challenging circumstance in which all parties are worse off. It is an alternative to a
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cost that the gains are outweighed by the cost and are no longer a source of joy.
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may be used to avoid no-win outcomes and find more satisfactory results.
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but was so weakened that it could no longer maintain its status as a
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BBC - h2g2 - Matthew Hopkins, 'Witchfinder General' of East Anglia
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(2013). 330:Two-body problem (career) 324:The Scorpion and the Frog 265:, women accused of being 1423:Evolutionary game theory 1156:Antoine Augustin Cournot 1042:Guess 2/3 of the average 839:Strictly determined game 633:Satisfaction equilibrium 451:Escalation of commitment 1428:Glossary of game theory 1027:Stackelberg competition 653:Strong Nash equilibrium 1453:Tragedy of the commons 1433:List of game theorists 1413:Confrontation analysis 1123:Sprague–Grundy theorem 643:Sequential equilibrium 563:Correlated equilibrium 1226:Jean-François Mertens 1355:Search optimizations 1231:Jennifer Tour Chayes 1118:Revelation principle 1113:Purification theorem 1052:Nash bargaining game 1017:Bertrand competition 1002:El Farol Bar problem 967:Electronic mail game 932:Lewis signaling game 476:Hierarchy of beliefs 313:Preparedness paradox 145:or outcome in which 58:improve this article 1403:Bounded rationality 1022:Cournot competition 972:Rock paper scissors 947:Battle of the sexes 937:Volunteer's dilemma 809:Perfect information 736:Dominant strategies 573:Epsilon-equilibrium 456:Extensive-form game 221:Carl von Clausewitz 133:is an outcome of a 131:lose–lose situation 18:Lose–lose situation 1382:Paranoid algorithm 1362:Alpha–beta pruning 1241:John Maynard Smith 1072:Rendezvous problem 912:Traveler's dilemma 902:Gift-exchange game 897:Prisoner's dilemma 814:Large Poisson game 781:Bargaining problem 686:Backward induction 658:Subgame perfection 613:Proper equilibrium 318:Setting up to fail 209:prisoner's dilemma 73:"No-win situation" 1461: 1460: 1367:Aspiration window 1336:Suzanne Scotchmer 1291:Oskar Morgenstern 1186:Donald B. Gillies 1128:Zermelo's theorem 1057:Induction puzzles 1012:Fair cake-cutting 987:Public goods game 917:Coordination game 791:Intransitive game 721:Forward induction 603:Pareto efficiency 583:Gibbs equilibrium 553:Berge equilibrium 501:Simultaneous game 336:Vladimir's choice 286:Cornelian dilemma 123: 122: 108: 16:(Redirected from 1486: 1448:Topological game 1443:No-win situation 1341:Thomas Schelling 1321:Robert B. Wilson 1281:Merrill M. Flood 1251:John von Neumann 1161:Ariel Rubinstein 1146:Albert W. Tucker 997:War of attrition 957:Matching pennies 598:Nash equilibrium 521:Mechanism design 486:Normal-form game 441:Cooperative game 414: 407: 400: 391: 386: 383:Psychology Today 364: 359: 241:Second World War 127:no-win situation 118: 115: 109: 107: 66: 38: 30: 21: 1494: 1493: 1489: 1488: 1487: 1485: 1484: 1483: 1464: 1463: 1462: 1457: 1391: 1377:max^n algorithm 1350: 1346:William Vickrey 1306:Reinhard Selten 1261:Kenneth Binmore 1176:David K. Levine 1171:Daniel Kahneman 1138: 1132: 1108:Negamax theorem 1098:Minimax theorem 1076: 1037:Diner's dilemma 892:All-pay auction 858: 844:Stochastic game 796:Mean-field game 767: 760: 731:Markov strategy 667: 533: 525: 496:Sequential game 481:Information set 466:Game complexity 436:Congestion game 424: 418: 376: 373: 368: 367: 360: 356: 351: 346: 276: 261:In the past in 229:Pyrrhic victory 218: 175:text adventures 163: 119: 113: 110: 67: 65: 51: 39: 28: 23: 22: 15: 12: 11: 5: 1492: 1490: 1482: 1481: 1476: 1466: 1465: 1459: 1458: 1456: 1455: 1450: 1445: 1440: 1435: 1430: 1425: 1420: 1415: 1410: 1405: 1399: 1397: 1393: 1392: 1390: 1389: 1384: 1379: 1374: 1369: 1364: 1358: 1356: 1352: 1351: 1349: 1348: 1343: 1338: 1333: 1328: 1323: 1318: 1313: 1311:Robert Axelrod 1308: 1303: 1298: 1293: 1288: 1286:Olga Bondareva 1283: 1278: 1276:Melvin Dresher 1273: 1268: 1266:Leonid Hurwicz 1263: 1258: 1253: 1248: 1243: 1238: 1233: 1228: 1223: 1218: 1213: 1208: 1203: 1201:Harold W. Kuhn 1198: 1193: 1191:Drew Fudenberg 1188: 1183: 1181:David M. Kreps 1178: 1173: 1168: 1166:Claude Shannon 1163: 1158: 1153: 1148: 1142: 1140: 1134: 1133: 1131: 1130: 1125: 1120: 1115: 1110: 1105: 1103:Nash's theorem 1100: 1095: 1090: 1084: 1082: 1078: 1077: 1075: 1074: 1069: 1064: 1059: 1054: 1049: 1044: 1039: 1034: 1029: 1024: 1019: 1014: 1009: 1004: 999: 994: 989: 984: 979: 974: 969: 964: 962:Ultimatum game 959: 954: 949: 944: 942:Dollar auction 939: 934: 929: 927:Centipede game 924: 919: 914: 909: 904: 899: 894: 889: 884: 882:Infinite chess 879: 874: 868: 866: 860: 859: 857: 856: 851: 849:Symmetric game 846: 841: 836: 834:Signaling game 831: 829:Screening game 826: 821: 819:Potential game 816: 811: 806: 798: 793: 788: 783: 778: 772: 770: 762: 761: 759: 758: 753: 748: 746:Mixed strategy 743: 738: 733: 728: 723: 718: 713: 708: 703: 698: 693: 688: 683: 677: 675: 669: 668: 666: 665: 660: 655: 650: 645: 640: 635: 630: 628:Risk dominance 625: 620: 615: 610: 605: 600: 595: 590: 585: 580: 575: 570: 565: 560: 555: 550: 545: 539: 537: 527: 526: 524: 523: 518: 513: 508: 503: 498: 493: 488: 483: 478: 473: 471:Graphical game 468: 463: 458: 453: 448: 443: 438: 432: 430: 426: 425: 419: 417: 416: 409: 402: 394: 388: 387: 372: 371:External links 369: 366: 365: 353: 352: 350: 347: 345: 344: 342:Winner's curse 339: 332: 327: 320: 315: 310: 305: 302:Kobayashi Maru 298: 293: 288: 283: 277: 275: 272: 237:British Empire 217: 214: 213: 212: 205: 198: 178: 162: 161:In game theory 159: 147:one party wins 121: 120: 56:. 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Index

Lose–lose situation

single source
talk page
improve this article
introducing citations to additional sources
"No-win situation"
news
newspapers
books
scholar
JSTOR
negotiation
conflict
win-win
one party wins
Arbitration
mediation
game theory
text adventures
Zugzwang
chess
piece
checkmated
Catch-22
prisoner's dilemma
Carl von Clausewitz
war
Pyrrhic victory
British Empire

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