#RepeatedMeasures
Live, measured metrics for the hashtag #RepeatedMeasures from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #repeatedmeasures
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 12:54 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 12:54 UTCNo related tags with measured usage found for #repeatedmeasures.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 12:54 UTCEverything below is measured over the latest 4 public posts (spanning ~30148 hours).
Posting hours (UTC)
Languages: English (4)
Avg boosts / post: 0.3
Top of the latest posts
New tutorial paper describing the use of a simple #NonParametric #statistics method for analysing #RepeatedMeasures data with a focus on individual-level results https://pubs.asha.org/doi/10.1044/2022_JSLHR-22-00133 All data and #Rstats cod
#statstab #527 t is for Trouble (and Textbooks): A Critique of Some Examples of the Paired-Samples t-test Thoughts: Some issues seem to reappear in the field. We need better training. #ttest #design #methods #error #analysis #repeatedmeasur
You won't be surprised that I eagerly watch James Hoffmann's videos. Especially the "if you were to plan some small experiment on your own - WITH COFFEE!" videos are really good. So his new test of the "delay your morning #coffee" hypothesi
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/repeatedmeasures