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Scan for outdated or missing drivers - takes under a minuteDriver Scan →Clear out junk files and repair common Windows errorsFree Scan →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Some reviewer subjectivity may help a scientific community resist herding and estimate truth more accurately—but that conclusion comes from a mathematical model, not a test of real journals. In-Uck Park, Mike W. Peacey and Marcus R. Munafò’s study suggests that strictly objective review can, under the model’s assumptions, leave researchers vulnerable to collectively backing a false hypothesis.
What “herding” means in peer review
Herding occurs when researchers infer what is likely to be true from other scientists’ actions—such as which results get published—and let that social information outweigh their own evidence or prior beliefs. In the model, even researchers motivated to find the truth can be influenced by the publication decisions they observe.
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This creates a risk of collective error: the community may converge on an incorrect answer, not necessarily because every researcher independently reached that conclusion from the evidence, but because each decision is shaped by earlier decisions.
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1Clear out junk files and repair common Windows errors2Fix the driver behind crashes, sound loss and screen glitches3Repair Windows errors before they cause bigger problemsWhat the model says about reviewer subjectivity
Park, Peacey and Munafò compared modeled review systems in which decisions were objective-only with systems that allowed some subjectivity. Their central result was that some subjectivity could curb herding and help the scientific community use available information to estimate truth more accurately. The authors put it this way: “We further demonstrate that exercising some subjectivity in reviewer decisions, which serves to curb the herding process, can be beneficial for the scientific community in processing available information to estimate truth more accurately.” Read the paper in Nature.
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A contemporary account by Chemistry World describes the model as researchers beginning with beliefs about competing hypotheses, then updating those beliefs as they encounter peer review and publication. In that account, objective-only review leaves the modeled probability of backing a false hypothesis at a stable minimum. A non-excessive degree of subjectivity allows that probability to keep falling. The account also cautions that stopping publication too early may leave the modeled reversal incomplete.
| Modeled review approach | Reported implication in the model |
|---|---|
| Objective-only decisions | The probability of backing a false hypothesis reaches a stable minimum, according to Chemistry World’s summary of the model. |
| Some, non-excessive subjectivity | The probability can continue falling, potentially curbing herding, according to Chemistry World’s summary of the model. |
What this does—and does not—show
The study is a model of decision-making and knowledge aggregation, not a clinical or field experiment. It does not establish that subjective review reliably prevents false findings in actual publishing, that all subjectivity is beneficial, or that every discipline and journal behaves like the modeled system. Its result is conditional: under the assumptions examined, allowing some reviewer discretion can counter a particular way that collective beliefs may become stuck.
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That distinction matters because “subjective” can mean different things in practice. The paper’s result is not an endorsement of arbitrary or biased decisions; it concerns how reviewer decision rules may affect the information researchers infer from publication patterns. In 2013, Marcus Munafò told Chemistry World, “Our results suggest that peer review may not perform as badly as sometimes thought.” That is a comment on the model’s implications, not evidence that a universal real-world benefit has been measured.
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The paper is In-Uck Park, Mike W. Peacey and Marcus R. Munafò, “Modelling the effects of subjective and objective decision making in scientific peer review,” Nature 506, 93–96 (2014), DOI 10.1038/nature12786. It was published online on 4 December 2013 and appeared in the 6 February 2014 issue. PubMed record.
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