Some people have set up sort of "gotcha" algorithms that…
![“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](https://sms4smile.com/q/img-quotes/5b1/susan-fiske-46605_algorithms_some-people-have-set-up-sort-of-gotcha-a_2326797.jpg)
“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.”
About This Quote
This interpretation was drafted with AI assistance. It is one reading of the quote, not the author's own explanation.
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.