#frequentist
Live, measured metrics for the hashtag #frequentist from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #frequentist
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 2026-07-27 07:37 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 2026-07-27 07:37 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 07:37 UTCEverything below is measured over the latest 33 public posts (spanning ~31239 hours).
Posting hours (UTC) — busiest: 17:00
Languages: English (33)
Avg boosts / post: 1.5
Top of the latest posts
Are p-values convoluted and arcane? Are confidence intervals hopelessly confusing? No! These ideas can be challenging to teach and learn, but they represent an invaluable way of thinking about scientific results. Once they're properly under
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
i’ve moved over from another server! but re #introduction here i’m a stats-oriented #DataScientist working at a pediatric hospital in the clinical analytics department (ie non-research) i love using #RStats and #SQL and #WhatsYourActualQues
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/frequentist