#falsepositiverisk
Live, measured metrics for the hashtag #falsepositiverisk from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #falsepositiverisk
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 08:31 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-28 08:31 UTCNo related tags with measured usage found for #falsepositiverisk.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 08:31 UTCEverything below is measured over the latest 2 public posts (spanning ~648 hours).
Posting hours (UTC)
Languages: English (2)
Avg boosts / post: 2.5
Top of the latest posts
New blogpost 🚨 : What do you do if you found a significant result, but your study was underpowered? How reliable is your finding? I discuss Type M and Type S error https://mzstats.blogspot.com/2023/02/what-not-to-do-with-non-null-results.h
#FalsePositiveRisk in #Medicine We provide an empirical test of Ioannidis's prediction and find the false discovery risk is well below 50%. Now as citation friendly preprint. https://arxiv.org/abs/2302.00774
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/falsepositiverisk