No open-access location is known for this record yet.
No open-access location is known for this record yet.
In a world where researchers prefer their experiments to have a particular outcome, scientific fraud and research bias are alternative methods to implement such preferences. A critical constraint distinguishes these two methods: biased research is `narrowly replicable' while fraud is non-replicable. Recent proposals to severely punish fraud have typically excluded biased research from their purview. An unintended consequence of such asymmetric sanctions is the substitution of creative uses of technology to bias research outcomes in favor of one's preferences. Importantly, such bias may be substantially more difficult to detect than outright fraud, given current scientific conventions. This article demonstrates, using the simplest of statistical examples, how biased outcomes can derive from seemingly unbiased procedures.
Loading…
Stored only when both papers are in the corpus — 42 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.