Skeptics

7. Massively Parallel Roles & Tasks

This introductory article was written by ChatGPT at the direction of Heidi Burgess, who reviewed, edited, and approved the final content.
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July 16, 2026

Skeptics improve public decision making by asking experts difficult but fair questions. They test assumptions, look for weaknesses in evidence, and press analysts to consider plausible alternative explanations. Skeptics may be specialists challenging colleagues within their own field, or informed outsiders asking experts to explain their methods and reasoning more clearly. Either way, their contribution is not simply to cast doubt. It is to help distinguish conclusions that have survived serious scrutiny from claims that rest on weak evidence, hidden assumptions, or excessive confidence.

This role is especially important in science. The phrase “trust the science” can be useful when it means respecting well-supported findings and the accumulated judgment of qualified researchers. Taken literally, however, it can obscure how science actually works. Scientific claims are subjected to criticism, replication, and revision as new evidence becomes available. The National Academies explains that scientific reasoning takes place amid uncertainty and that its conclusions must remain open to challenge and testing. Scientific institutions deserve confidence not because individual scientists are infallible, but because the scientific process gives other researchers opportunities to examine the evidence, question the methods, and try to reproduce the results.

Organized skepticism can take several forms. Peer reviewers challenge research before it is published, while independent researchers test whether important findings can be repeated. The Center for Open Science promotes practices such as preregistration, data sharing, and replication that make research claims easier to scrutinize. Its Reproducibility Project: Cancer Biology, for example, independently tested findings from influential cancer-research papers and made the resulting methods and data publicly available. Governments and other institutions also use “red teams” whose task is to challenge prevailing assumptions, identify weaknesses in plans, and explore how events might unfold differently from what decision makers expect.

Constructive skepticism is different from reflexive distrust. A useful skeptic follows the evidence, applies similar standards to claims from different political or ideological camps, and remains willing to change their own mind. Skepticism becomes destructive when people demand impossible certainty, selectively question only evidence they dislike, or treat the mere existence of disagreement as proof that nothing is known. Most important decisions must be made before every uncertainty has been resolved. Skeptics help by clarifying which conclusions are strongly supported, which remain tentative, and what evidence would justify revising them. Used this way, skepticism strengthens expertise rather than undermining it. It makes scientific and public-policy analysis more transparent, more precise, and more worthy of trust.

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This page was created by ChatGPT in response to this prompt. It was then reviewed, edited, supplemented and approved by Heidi Burgess. More information about how and why we are using AI in this way, and about the growing number of ways in which Beyond Intractability is using ChatGPT, Claude and other AI systems to generate content and build out the BI system, is available on our BI/AI Overview Page.