#SelectionBias

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

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
26
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 26
0.2
Avg reactions / post
Mastodon · last 26
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-01 12:20 UTC
0
07-26
0
07-27
0
07-28
0
07-29
0
07-30
0
07-31
0
08-01

0 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 2026-08-01 12:20 UTC

No related tags with measured usage found for #selectionbias.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-01 12:20 UTC

Everything below is measured over the latest 26 public posts (spanning ~42822 hours).

Posting hours (UTC) — busiest: 18:00

00:0012:0023:00

Languages: English (19) · German (6)

Avg boosts / post: 1.7

Top of the latest posts

  • @davidgerard good textbook case of #SelectionBias.

    Bill Seitz@[email protected]♥ 2↻ 02026-02-08 15:24 UTCView post →

  • 1/ One day everyone will recognize #selectionbias due to a #collider and the world will be a better place. This time observational studies found a higher risk of omicron reinfection after a 3rd dose of #COVID19 vaccine. Alarms went off. The

    Miguel Hernan@[email protected]♥ 2↻ 152023-07-07 18:20 UTCView post →

  • #statstab #505 Beyond Confounders Thoughts: What makes a good control and a bad control? #counterfactuals #confounder #DAG #r #modelling #selectionbias #variance #control #causalinference https://matheusfacure.github.io/python-causality-han

    Dr Mircea Zloteanu 🌺🌞🍃@[email protected]♥ 0↻ 02026-03-13 15:44 UTCView post →

#selectionbias across platforms

every network with a public tag surface

Follow #selectionbias 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/selectionbias