Publication bias, in which positive results are preferentially reported by authors and published by journals, can restrict the visibility of evidence against false claims and allow such claims to be canonized inappropriately as facts.

Open data provides an opportunity to perform new analyses on preexisting data, but trade-offs are required to limit an increase in false positives.

Although questionable research practices inflate false positive rates, they have little effect on replicability because they also increase power.

Harmful genetic variants at mendelian disease genes slow down adaptation, by interfering with the spread of adaptive variants in a population.

Results from the Reproducibility Project: Cancer Biology provide a picture of the rate of false positives in cancer preclinical research, but it is still not clear if research in this field is less reproducible than it should be.

Offering users reaction buttons that convey reliability (e.g., ‘trust’, ‘distrust’) increases discernment and significantly reduces the spread of misinformation on a social media platform.

A robust library preparation and variant calling strategy (DigiPico/MutLX) eliminates false positive single nucleotide variants from picogram quantities of DNA following whole genome amplification.

Computer simulations reveal the potential and limitations of recently proposed CRISPR-based cell lineage recorders, and suggest how the recorders' design can be optimised to yield more accurate cell lineage trees.

A quick and portable test makes saliva samples turn yellow when people are carrying SARS-CoV-2, the virus that causes COVID-19.

Consideration of signal detection theory shows how decision ecology relates to optimal collective decisions, helping explain the prevalence of quorum-sensing in even the simplest collective systems, such as bacterial communities.