You got a null result. Will anyone publish it?

Publication bias & incentives

• Many see strong bias toward novel, positive findings, especially at elite journals; null results are rarely accepted, even when well done.
• Career incentives (tenure, funding, h-index) push researchers to prioritize “sexy” results over careful nulls or replications.
• Some argue this systemic behavior is now close to scientific misconduct; others frame it as predictable outcome of misaligned incentives rather than fraud.

Replication crisis & statistics

• With only positive outcomes published, false positives are inevitable and often unrecognized; regression to the mean then makes replications “fail.”
• Multiple commenters stress that one study is just one sample; robust knowledge requires different samples and replication.
• Misunderstandings of p-values and “statistical significance” recur; some note that insignificant results don’t prove the null, and huge samples can make trivial effects “significant.”
• Alternatives like confidence intervals, Bayesian methods, and higher significance thresholds in some fields are mentioned.

Value and risks of null results

• Nulls can bound effect sizes, correct false beliefs, and prevent wasted effort, but not all nulls are equally interesting.
• Concern: trivial or sloppy nulls could flood literature or be used strategically against rivals. Others respond that peer review and low citation impact limit this.

Who should do replications?

• Suggestions: make replication and logging of nulls a standard part of PhD training, or pre-register methods before data collection.
• Pushback: this is seen by some students as drudgery and bad for careers; others say it’s essential training but must be properly funded and recognized.

Alternative venues & formats

• Mention of journals and workshops dedicated to negative or “unsurprising” results, plus arXiv, preprints, blogs, and “living papers.”
• Objection: these outlets often carry less professional weight, so researchers deprioritize them despite personal willingness to share nulls.

Structural and process issues

• Peer review often evaluates results, not just methods; proposals for “results-blind” review and conditional acceptance based on pre-registered protocols.
• Cost and bureaucratic load of publishing, limited replication resources, and opaque reviewing further discourage null-result publication.