#posthoc
Live, measured metrics for the hashtag #posthoc from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #posthoc
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 08:12 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 08:12 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 08:12 UTCEverything below is measured over the latest 17 public posts (spanning ~70600 hours).
Posting hours (UTC) — busiest: 18:00
Languages: English (12) · German (3) · French (1)
Avg boosts / post: 0.8
Top of the latest posts
@pikesley 😆 Even more ridiculously, all this sort of advice floating around is just cargo-culting. Not even the model makers understand exactly how a given prompt results in a particular output - it's opaque to them, too. It's "I did this,
#statstab #535 The Benefits Of Reporting Critical Effect Size Values Thoughts: You ran a study w/o a power analysis? Report the lowest value your test could have detected at 80% power and 5% alpha. #poweranalysis #effectsize #samplesize #po
#statstab #477 Don’t calculate post-hoc power using observed estimate of effect size Thoughts: Good discussion and many useful references. Even big journals print stupid stuff. #posthoc #power #sensitivity #samplesize #consort #medicine #bi
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/posthoc