#pvalues

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

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$240.06/ year · 7-character #name
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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.2
Avg reactions / post
Mastodon · last 40
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-11-03 02:43 UTC
0
10-28
0
10-29
0
10-30
0
10-31
0
11-01
0
11-02
0
11-03

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.online (Mastodon public search API) · fetched 2026-11-03 02:43 UTC

No related tags with measured usage found for #pvalues.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-03 02:43 UTC

Everything below is measured over the latest 40 public posts (spanning ~18807 hours).

Posting hours (UTC) — busiest: 17:00

00:0012:0023:00

Languages: English (40)

Avg boosts / post: 3.9

Top of the latest posts

  • #statistics #pvalues #math #analytics

    Indio Gringo ®@[email protected]♥ 6↻ 1432024-11-01 01:02 UTCView post →

  • #statstab #614 Statistical methods: Basic concepts, interpretations, and cautions Thoughts: A bit of history and a bit of theory. Useful overview of p-values. #pvalues #nhst #estimationstatistics #fisher #neyman #compatibility #history http

    Dr Mircea Zloteanu 🍂 🍃@[email protected]♥ 1↻ 02026-07-29 18:46 UTCView post →

  • #statstab #611 A comment on replication, p-values and evidence Thoughts: What does a p-value have to do with a replication probability? Maybe not much. #bayesian #pvalues #probability #replication #neynan #fisher #significance https://doi.o

    Dr Mircea Zloteanu 🍂 🍃@[email protected]♥ 1↻ 02026-07-13 07:03 UTCView post →

#pvalues across platforms

every network with a public tag surface

Follow #pvalues 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/pvalues