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Algorithms Quote by Susan Fiske

“Some people have set up sort of "gotcha" algorithms that apparently crawl through psychology articles and look for fraudulent p-values [a measure of the likelihood that experimental results weren't a fluke]. But they're including rounding errors that don't change the significance levels of the…” quote by Susan Fiske
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“Some people have set up sort of "gotcha" algorithms that apparently crawl through psychology articles and look for fraudulent p-values [a measure of the likelihood that experimental results weren't a fluke]. But they're including rounding errors that don't change the significance levels of the results, and they're doing it anonymously.”

Susan Fiske

About This Quote

Source Article: Discussion on reproducibility in psychology, possibly a blog or commentary piece

Algorithms designed to detect false statistical claims may mistakenly flag harmless rounding errors, undermining trust in the review process.

In simple terms: Detection tools can over‑penalize minor errors.

Key Takeaway

Ensure detection methods distinguish between serious fraud and trivial mistakes.

Themes

science integrity methodology

Mood

critical analytical

Type

academic technical

When to use this quote

  • peer review
  • data analysis
  • research publishing

Key Concepts

statistics reproducibility automation

Questions to Reflect On

  • How can we improve algorithmic checks without stifling research?
  • What safeguards prevent false accusations?
A Different Perspective

Over‑reliance on automation may miss nuanced judgment.

2.9 out of 5 (9 ratings)

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