#causaltwitter

Live, measured metrics for the hashtag #causaltwitter 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
7
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 7
0.3
Avg reactions / post
Mastodon · last 7
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-11-14 03:53 UTC
0
11-08
0
11-09
0
11-10
0
11-11
0
11-12
0
11-13
0
11-14

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 2026-11-14 03:53 UTC

No related tags with measured usage found for #causaltwitter.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-14 03:53 UTC

Everything below is measured over the latest 7 public posts (spanning ~2369 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: German (4) · English (3)

Avg boosts / post: 1.9

Top of the latest posts

  • The finding is not surprising and it may apply to the use of race/ethnicity in causal mediation analysis. #causalinference #CausalTwitter #racism #OpenSexism #genderinequity #epitwitter #epiverse --- RT @yudapearl Who could ever imagine tha

    Luisa N. Borrell@lborrell♥ 2↻ 02023-02-23 12:03 UTCView post →

  • 🔥Our study (joint with @berno_b@twitter.com and @GanglSelina@twitter.com) on the impact of residence permits on the labor market attachment of foreign workers in #Liechtenstein has been published in the European Economic Review: https://au

    Martin Huber@CausalHuber@econtwitter.net♥ 0↻ 02023-01-25 16:13 UTCView post →

  • 🔥 Very happy to see our study (joint with Henrika Langen) on the application of #CausalMachineLearning in quantitative #marketing / #BusinessAnalytics published in #PLOSONE: https://journals.plos.org/plosone/article?id=10.1371/journal.pone

    Martin Huber@CausalHuber@econtwitter.net♥ 0↻ 22023-01-11 20:38 UTCView post →

#causaltwitter across platforms

every network with a public tag surface

Follow #causaltwitter 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/causaltwitter