#MetaAnalysis

Live, measured metrics for the hashtag #MetaAnalysis from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #metaanalysis

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.

$5.00/ year · 12-character #name
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card via hashtag.org · tokens via hashtag.space
1
Uses / 7 days
Mastodon
1
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.5
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-10-21 01:09 UTC
0
10-15
0
10-16
0
10-17
0
10-18
1
10-19
0
10-20
0
10-21

1 uses by 1 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mas.to (Mastodon public search API) · fetched 2026-10-21 01:09 UTC

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-21 01:09 UTC

Everything below is measured over the latest 40 public posts (spanning ~3718 hours).

Posting hours (UTC) — busiest: 15:00

00:0012:0023:00

Languages: English (37) · German (2)

Avg boosts / post: 0.9

Top of the latest posts

  • In large meta-analyses, standard forest plot can become excessively large. One solution is to group the estimates together within studies. I just added an example to the metafor website illustrating this possibility: https://www.metafor-pro

    Wolfgang Viechtbauer@[email protected]♥ 8↻ 32026-06-18 11:31 UTCView post →
  • Four years, 80 meetings, and 5,000 screened studies later... Our meta-analysis is finally published in the European Journal of Personality! Systematic Review and Meta-Analysis of the Relation Between Personality Traits and Preference for Tr

    Aleksandra Lazić, PhD@[email protected]♥ 4↻ 22026-08-19 08:58 UTCView post →
  • Meta-analyses may reveal effects not noticeable in individual studies, such as treatment-by-subgroup interactions (e.g. effects in males vs. females). To support Bayesian analysis, prior knowledge on interaction heterogeneity is crucial. @p

    Christian Röver@[email protected]♥ 4↻ 62026-06-24 11:01 UTCView post →

What “metaanalysis” means

Wiktionary · Wikipedia

metaanalysis

  • nounAny systematic procedure for statistically combining the results of many different studies.
Full entry on Wiktionary →

Meta-analysis is a method of synthesis of quantitative data from multiple independent studies addressing a common research question. An important part of this method involves computing a combined effect size across all of the studies. As such, this statistical approach involves extracting effect sizes and variance measures from various studies. By combining these effect sizes the statistical power is improved and can resolve uncertainties or discrepancies found in individual studies. Meta-analys

“Meta-analysis” on Wikipedia (CC BY-SA) →

#metaanalysis across platforms

every network with a public tag surface

Follow #metaanalysis straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.

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/metaanalysis