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The dangers of non-empirical confirmation (1609.01966v1)

Published 2 Sep 2016 in physics.hist-ph and gr-qc

Abstract: In the book "String Theory and the Scientific Method", Richard Dawid describes a few of the many non-empirical arguments that motivate theoretical physicists' confidence in a theory, taking string theory as case study. I argue that excessive reliance on non-empirical evidence compromises the reliability of science, and that precisely the case of string theory well illustrates this danger.

Citations (17)

Summary

  • The paper demonstrates that relying on non-empirical reasoning risks conflating preliminary appraisals with empirical validation, leading to overconfidence in unsubstantiated theories.
  • Using Bayesian confirmation theory, the analysis reveals how weak evidence can be misinterpreted as robust support, particularly in the context of string theory.
  • The study underscores that empirical validation remains crucial for upholding scientific credibility and ensuring theoretical advances result in reliable predictions.

The Dangers of Non-Empirical Confirmation

The paper "The Dangers of Non-Empirical Confirmation" provides a critical analysis of the reliance on non-empirical evidence in the development and validation of scientific theories. Using string theory as a case paper, the author argues that excessive dependence on non-empirical arguments can compromise the reliability of scientific inquiry.

The paper opens with a discussion on the historical context of scientific theory development. Contrary to the Popper-Kuhn view of random theory generation followed strictly by empirical validation, the paper posits that theorists leverage powerful non-empirical motivations to assess the potential validity of their ideas. While such preliminary appraisals are a routine part of scientific theorizing, the author warns against conflating these preliminary assessments with conclusive empirical validation.

Central to the paper is a critique of Dawid's use of Bayesian confirmation theory to lend credence to theories lacking empirical support. The paper critiques this approach for its potential to blur the distinction between speculative and empirically corroborated theories. In Bayesian terms, even weak evidence can be framed as "confirmation," which the author argues could lead to a misinterpretation and overconfidence in unsubstantiated theories, as has been observed with string theory.

String theory exemplifies the potential pitfalls of non-empirical confirmation. Initially heralded as a comprehensive theory capable of unifying the fundamental forces, it has repeatedly failed to produce empirically verifiable predictions. For instance, string theorists have expected outcomes, such as the discovery of low-energy supersymmetric particles, that have not materialized. Despite these failures, some prominent string theorists assign high probabilities to the correctness of the theory, ostensibly based on non-empirical reasoning.

The paper provides a robust argument against relying on the alleged "lack of alternatives" to bolster confidence in a theory. This perspective is critiqued on the grounds that it depends heavily on specific assumptions, which themselves may be erroneous. By emphasizing empirical validation, science distinguishes between established theories and speculative ones.

In concluding remarks, the paper implies that non-empirical evidence cannot substitute for empirical validation if a theory is to be considered reliable and valuable to science and society. The author cautions against the human tendency to cling to theoretical commitments despite contrary empirical evidence, a practice that is arguably detrimental to scientific progress. Finally, the paper calls for a philosophy of science that recognizes these distinctions and underscores the importance of empirical confirmation in maintaining the credibility of scientific practice.

This discourse has significant implications for the future of scientific methodology. It underscores the necessity for a balanced approach to theory appraisal that appropriately weights non-empirical reasoning without disregarding the imperative of empirical testing. While theoretical frameworks like string theory expand the horizon of scientific inquiry, their long-term viability is contingent upon empirical scrutiny, reinforcing the foundational principles of the scientific method.

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