In the scientific realism debate, the no-miracles argument (NMA) — that the truth of successful theories best explains their success — and the pessimistic induction (PI) — that past successful theories were mostly discarded as false, so present ones will be too — are conventionally regarded as the strongest arguments for and against realism. Park (2017) then turned the pessimistic induction against the antirealist and pessimist camps themselves: antirealist explanations of the success of science have repeatedly failed, so the latest one will fail as well, and the antirealist and pessimist authors who propose them cannot see the hidden flaws in their own proposals, just as their predecessors could not. This problem asks for a principled adjudication of the comparative epistemic standing of Park's pessimistic inductions and the NMA: which argument family has greater evidential warrant and argumentative force under explicitly stated criteria. The adjudication must fix the standards that legitimate projecting historical patterns of failure onto present theories and present philosophical proposals (including whether the same inductive standards transfer from theory-level to author-level targets), and must evaluate whether antirealist proposals can defeat the inductive case against them on the first attempt. The two argument families are developed separately in the current literature and the two classic arguments have been treated as an evidential stalemate; no work adjudicates the comparison, so the problem is open.

Background

Scientific realism is the view that our best scientific theories are, at least approximately, true descriptions of a mind-independent world, including its unobservable aspects; antirealists deny that empirical success is a warrant for such truth claims. Two arguments dominate the debate. The no-miracles argument (NMA), associated with Putnam (1975), holds that the empirical success of science — especially novel predictive success — would be a miracle if successful theories were not at least approximately true, so their approximate truth is the best explanation of their success (an inference to the best explanation, i.e. an inference that the hypothesis which would best explain the evidence is likely true). The pessimistic induction (PI), anticipated by Poincaré and canonically formulated by Laudan (1981), holds instead that the history of science furnishes many once-successful theories (Laudan's famous list includes the phlogiston and caloric theories) later judged false, so by enumerative induction our own successful theories will likewise be discarded. Each argument has been charged with fallacies: the NMA with committing a base-rate fallacy (ignoring the prior frequency of true theories among successful ones), the PI with sampling from an unrepresentative, distant-past pool (Laudan's list over-represents old theories) — with counter-replies at every step (Mizrahi 2013; Chakravartty's Stanford Encyclopedia entry surveys the dialectic). Both arguments have also been generalized: Stanford (2006) shifts the induction from theories to scientists (past scientists could not even conceive of the theories that replaced theirs, so we too probably cannot conceive of better alternatives); Wray (2013) shifts it to realists (past realists were wrong about their own theories, so present realists are probably wrong too); and Park (2014) turns it against antirealism itself: of the nine successive antirealist explanations of how non-true theories can succeed (from van Fraassen in 1980 through Lyons in 2003), each was found to harbor hidden problems, so the latest antirealist explanation will presumably fail as well. Park (2017) then constructs two further inductions: a pessimistic induction over antirealists (the author of the latest antirealist proposal cannot see its hidden problems, just as his antirealist predecessors could not see theirs) and a pessimistic induction over pessimists (canonical pessimists such as Poincaré and Mach confidently predicted the overthrow of theories — germ theory, relativity — that in fact survived, so present and future pessimists will presumably be wrong about our theories). The result is a symmetric standoff: the two argument families have the same inductive form, target each other's proponents, and are each alleged to commit the other's fallacies. Park (2018b, Grazer Philosophische Studien) notes explicitly that the NMA and the PI 'are regarded as the strongest arguments for and against scientific realism, respectively'. What the literature has not produced is a principled comparison of their epistemic standing: a statement of the criteria of evidential warrant and argumentative force under which the comparison should be judged, an application of those criteria to canonical formulations of both argument families, and a verdict — superiority of one side or a principled parity — that does not beg the question against either. Recent work develops each side separately: the NMA has been reconstructed deductively and probabilistically (Golemon and Graber 2023; Golemon 2026, against Lee 2025) and extended to machine-learning systems (Rowbottom, Peden and Curtis-Trudel 2024), while the classical PI continues to attract refutation attempts (Cronin 2024) and Park (2025) defends counter-inductions against the pessimistic inductions; Henschen (2021) treats the core conflict as one of equal-strength opposing arguments (isostheneia — a Pyrrhonian term for the equipollence of arguments pro and con, for which the recommended response is suspension of judgment or a stance choice rather than adjudication). None of these adjudicates the comparison, and the newer inductions over antirealists and pessimists have seen essentially no independent engagement.

Problem Statement

Which has greater evidential warrant and argumentative force for the scientific realism debate: Park's pessimistic inductions over antirealist theories, antirealist authors, and pessimists (Park 2014; Park 2017) — arguments that, unlike the classical pessimistic induction against realism (Laudan 1981), are directed against antirealism and pessimism and therefore run in realism's favor — or the no-miracles argument for realism (Putnam 1975)? An answer must (i) state explicit, non-question-begging criteria of evidential warrant and argumentative force for comparing such argument families; (ii) apply them to canonical formulations of both sides, including the classical pessimistic induction (Laudan 1981) as background dialectic; (iii) settle what formal and evidential standards legitimately license moving from historical patterns of predecessor failure to probabilistic judgments about current targets, and in particular whether the same inductive standards transfer between theory-level targets (scientific theories, antirealist theories) and author-level targets (antirealists, pessimists); and (iv) evaluate, as part of the same adjudication, whether antirealist proposals can systematically defeat the inductive case against them on the first attempt (i.e., whether a first-attempt successful antirealist reconstruction is empirically or conceptually feasible), since the antirealist side's ability to meet the pessimistic induction determines its standing relative to the no-miracles argument. The comparison may issue either in a defended verdict of epistemic superiority for one side or in a principled demonstration that the argument families are evidentially on a par, provided the criteria and the reasoning make the conclusion non-arbitrary. Requirements (i)-(iv) are jointly necessary.

References

  1. Park, Seungbae (2017). Why Should We Be Pessimistic About Antirealists and Pessimists? Foundations of Science 22(3): 613-625. DOI 10.1007/s10699-016-9490-y, https://doi.org/10.1007/s10699-016-9490-y
  2. Park, Seungbae (2014). A Pessimistic Induction Against Scientific Antirealism. Organon F 21(1): 3-21.
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