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Propensity probability

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25: 268:. For Popper then, a deterministic experiment would have propensity 0 or 1 for each outcome, since those generating conditions would have the same outcome on each trial. In other words, non-trivial propensities (those that differ from 0 and 1) imply something less than determinism and yet still causal dependence on the generating conditions. 204:, however. Popper noted that the outcome of a physical experiment is produced by a certain set of "generating conditions". When we repeat an experiment, as the saying goes, we really perform another experiment with a (more or less) similar set of generating conditions. To say that a set of generating conditions 341:
The Principal Principle. Let C be any reasonable initial credence function. Let t be any time. Let x be any real number in the unit interval. Let X be the proposition that the chance, at time t, of A's holding equals x. Let E be any proposition compatible with X that is admissible at time t. Then
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cannot be explicitly defined either, in terms of more basic things, but only in terms of what they do (such as attracting and repelling other electrical charges). In a similar way, propensity is whatever fills the various roles that physical probability plays in science.
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Thus, for example, suppose you are certain that a particular biased coin has propensity 0.32 to land heads every time it is tossed. What is then the correct credence? According to the Principal Principle, the correct credence is .32.
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are unable to take this approach, since relative frequencies do not exist for single tosses of a coin, but only for large ensembles or collectives. These single-case probabilities are known as propensities or chances.
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What roles does physical probability play in science? What are its properties? One central property of chance is that, when known, it constrains rational belief to take the same numerical value.
294:) do not explicitly define propensities at all, but rather see propensity as defined by the theoretical role it plays in science. They argue, for example, that physical magnitudes such as 164:
In addition to explaining the emergence of stable relative frequencies, the idea of propensity is motivated by the desire to make sense of single-case probability attributions in
284:, have proposed propensity theories somewhat similar to Popper's, in that propensities are defined in terms of either long-run or infinitely long-run relative frequencies. 266: 401: 152:
repeating a certain kind of experiment will generate a given outcome type at a persistent rate. Stable long-run frequencies are a manifestation of invariant
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Volumes 7 and 8, Harvard University Press, Cambridge, MA, also Belknap Press (of Harvard University Press) edition, vols. 7-8 bound together, 798 pages,
42: 592: 487: 890: 506: 381: 619: 89: 855: 832: 801: 769: 646: 108: 61: 68: 46: 814:(1957). "The Propensity Interpretation of the Calculus of Probability and of the Quantum Theory". In Korner; Price (eds.). 314: 75: 277: 126: 57: 35: 502: 201: 185: 133:
is thought of as a physical propensity, disposition, or tendency of a given type of situation to yield an
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means that those exact conditions, if repeated indefinitely, would produce an outcome sequence in which
134: 636: 356: 317:. They show that the causal nature of the condition in propensity conflicts with an axiom needed for 82: 330: 842:
Giere, R. N. (1973). "Objective Single-Case Probabilities and the Foundations of Statistics". In
738: 730: 691: 554: 451: 138: 479: 473: 227: 851: 828: 797: 765: 683: 642: 615: 588: 546: 483: 434:; Kolenda, Konstantin, Konstantin; Kolenda (1977). "Two Fallibilists in Search of the Truth". 318: 295: 281: 169: 165: 722: 675: 580: 538: 443: 410: 384: 789: 757: 572: 469: 843: 447: 584: 884: 695: 663: 742: 303: 291: 157: 609: 575:(1973). "Objective Single Case Probabilities and the Foundations of Statistics". 811: 431: 361: 307: 197: 130: 24: 875: 679: 871: 687: 550: 414: 313:
Ballentine developed an axiomatic propensity theory building on the work of
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Chance, Cause and Reason: An Inquiry into the Nature of Scientific Evidence
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Chance, Cause and Reason: An Inquiry into the Nature of Scientific Evidence
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of the observed stable relative frequencies. Propensities are invoked to
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Lewis, David (1980). "A Subjectivist's Guide to Objective Chance". In
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Miller, Richard W. (1975). "Propensity: Popper or Peirce?".
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Propensities are not relative frequencies, but purported
200:, who had only slight acquaintance with the writings of 224:. Thus the propensity p for E to occur depends upon G: 196:
A later propensity theory was proposed by philosopher
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Studies in Logic and the Foundations of Mathematics
426: 424: 49:. Unsourced material may be challenged and removed. 260: 531:The British Journal for the Philosophy of Science 184:A propensity theory of probability was given by 848:Logic, Methodology and Philosophy of Science IV 527:"The Propensity Interpretation of Probability" 664:"Propensity, Probability, and Quantum Theory" 402:British Journal for the Philosophy of Science 8: 762:Studies in Inductive Logic and Probability 711:"Why Propensities Cannot be Probabilities" 508:Collected Papers of Charles Sanders Peirce 276:A number of other philosophers, including 220:occurred with limiting relative frequency 137:of a certain kind, or to yield a long-run 229: 109:Learn how and when to remove this message 478:. University of Chicago Press. pp.  515:, reprinted in 1998 Thoemmes Continuum. 436:Proceedings of the Aristotelian Society 373: 505:and Burks, Arthur W., ed. (1958), the 825:Philosophical Theories of Probability 662:Ballentine, Leslie E. (August 2016). 7: 302:Other theories have been offered by 47:adding citations to reliable sources 382:Stanford Encyclopedia of Philosophy 579:. Vol. 73. pp. 467โ€“483. 380:'Interpretations of Probability', 325:Principal principle of David Lewis 14: 442:(Supplementary Volumes): 63โ€“104. 709:Humphreys, Paul (October 1985). 448:10.1093/aristoteliansupp/51.1.63 123:propensity theory of probability 23: 818:. Buttersworth. pp. 65โ€“70. 796:. University of Chicago Press. 34:needs additional citations for 816:Observation and Interpretation 641:. Cambridge University Press. 638:Logic of Statistical Inference 614:. Cambridge University Press. 249: 237: 1: 585:10.1016/S0049-237X(09)70380-5 386:. Retrieved 23 December 2006. 168:, such as the probability of 16:Interpretation of probability 287:Other propensity theorists ( 891:Probability interpretations 850:. New York: North-Holland. 912: 127:probability interpretation 680:10.1007/s10701-016-9991-0 261:{\displaystyle Pr(E,G)=p} 212:of producing the outcome 823:Gillies, Donald (2000). 715:The Philosophical Review 525:Popper, Karl R. (1959). 337:, The principle states: 176:at a particular moment. 58:"Propensity probability" 503:Peirce, Charles Sanders 872:Propensity probability 668:Foundations of Physics 262: 186:Charles Sanders Peirce 608:D. H. Mellor (1971). 415:10.1093/bjps/26.2.123 263: 635:Ian Hacking (1965). 611:The Matter of Chance 543:10.1093/bjps/X.37.25 357:Bayesian probability 228: 141:of such an outcome. 43:improve this article 335:principal principle 513:online via InteLex 258: 139:relative frequency 594:978-0-444-10491-5 489:978-0-226-08087-1 296:electrical charge 282:Donald A. Gillies 202:Charles S. Peirce 166:quantum mechanics 119: 118: 111: 93: 903: 861: 838: 819: 807: 790:Burks, Arthur W. 776: 775: 753: 747: 746: 706: 700: 699: 659: 653: 652: 632: 626: 625: 605: 599: 598: 569: 563: 562: 522: 516: 500: 494: 493: 470:Burks, Arthur W. 466: 460: 459: 428: 419: 418: 396: 387: 378: 333:called this the 267: 265: 264: 259: 172:of a particular 156:probabilities. 114: 107: 103: 100: 94: 92: 51: 27: 19: 911: 910: 906: 905: 904: 902: 901: 900: 881: 880: 868: 858: 841: 835: 822: 810: 804: 788: 785: 783:Further reading 780: 779: 772: 755: 754: 750: 727:10.2307/2185246 708: 707: 703: 674:(8): 973โ€“1005. 661: 660: 656: 649: 634: 633: 629: 622: 607: 606: 602: 595: 573:Ronald N. Giere 571: 570: 566: 524: 523: 519: 501: 497: 490: 468: 467: 463: 430: 429: 422: 398: 397: 390: 379: 375: 370: 353: 327: 274: 226: 225: 208:has propensity 194: 182: 115: 104: 98: 95: 52: 50: 40: 28: 17: 12: 11: 5: 909: 907: 899: 898: 893: 883: 882: 879: 878: 867: 866:External links 864: 863: 862: 856: 839: 833: 820: 808: 802: 784: 781: 778: 777: 770: 748: 721:(4): 557โ€“570. 701: 654: 647: 627: 621:978-0521615983 620: 600: 593: 564: 517: 495: 488: 461: 420: 409:(2): 123โ€“132. 388: 372: 371: 369: 366: 365: 364: 359: 352: 349: 344: 343: 326: 323: 319:Bayes' theorem 315:Paul Humphreys 273: 270: 257: 254: 251: 248: 245: 242: 239: 236: 233: 193: 190: 181: 178: 117: 116: 31: 29: 22: 15: 13: 10: 9: 6: 4: 3: 2: 908: 897: 894: 892: 889: 888: 886: 877: 873: 870: 869: 865: 859: 857:0-444-10491-7 853: 849: 845: 840: 836: 834:0-415-18275-1 830: 827:. 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Mellor 301: 292:Ronald Giere 288: 286: 278:David Miller 275: 221: 217: 213: 209: 205: 195: 183: 163: 158:Frequentists 153: 149: 145: 143: 122: 120: 105: 99:October 2007 96: 86: 79: 72: 65: 53: 41:Please help 36:verification 33: 758:Jeffrey, R. 362:Frequentism 331:David Lewis 308:Ian Hacking 272:Recent work 198:Karl Popper 192:Karl Popper 154:single-case 150:explain why 131:probability 885:Categories 876:PhilPapers 844:Suppes, P. 368:References 69:newspapers 696:254508686 688:0015-9018 551:0007-0882 480:694 pages 792:(1977). 743:55871596 472:(1978). 351:See also 846:(ed.). 760:(ed.). 735:2185246 456:4106816 180:History 135:outcome 83:scholar 854:  831:  800:  768:  741:  733:  694:  686:  645:  618:  591:  559:685773 557:  549:  486:  454:  306:, and 146:causes 85:  78:  71:  64:  56:  739:S2CID 731:JSTOR 692:S2CID 555:JSTOR 452:JSTOR 170:decay 125:is a 90:JSTOR 76:books 852:ISBN 829:ISBN 798:ISBN 766:ISBN 684:ISSN 643:ISBN 616:ISBN 589:ISBN 547:ISSN 484:ISBN 289:e.g. 280:and 174:atom 121:The 62:news 874:at 723:doi 676:doi 581:doi 539:doi 444:doi 411:doi 45:by 887:: 737:. 729:. 719:94 717:. 713:. 690:. 682:. 672:46 670:. 666:. 587:. 553:. 545:. 535:10 533:. 529:. 482:. 450:. 440:51 438:. 423:^ 407:26 405:. 391:^ 321:. 310:. 188:. 860:. 837:. 806:. 774:. 745:. 725:: 698:. 678:: 651:. 624:. 597:. 583:: 561:. 541:: 492:. 458:. 446:: 417:. 413:: 256:p 253:= 250:) 247:G 244:, 241:E 238:( 235:r 232:P 222:p 218:E 214:E 210:p 206:G 112:) 106:( 101:) 97:( 87:ยท 80:ยท 73:ยท 66:ยท 39:.

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"Propensity probability"
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probability interpretation
probability
outcome
relative frequency
Frequentists
quantum mechanics
decay
atom
Charles Sanders Peirce
Karl Popper
Charles S. Peirce
David Miller
Donald A. Gillies
Ronald Giere
electrical charge
D. H. Mellor
Ian Hacking
Paul Humphreys
Bayes' theorem

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