#CausalMachineLearning

Live, measured metrics for the hashtag #CausalMachineLearning 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
5
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 5
0.6
Avg reactions / post
Mastodon · last 5

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-07-27 09:20 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

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.social (Mastodon public search API) · fetched 2026-07-27 09:20 UTC

No related tags with measured usage found for #causalmachinelearning.

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-07-27 09:20 UTC

Everything below is measured over the latest 5 public posts (spanning ~10755 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: German (4) · English (1)

Avg boosts / post: 3

Top of the latest posts

  • Join the talk of Jannis Kueck (Uni Hamburg) at the virtual Causal Data Science Meeting #cdsm22 this afternoon, who will present our joint paper on "Testing the identification of causal effects in observational data": https://www.causalscien

    Martin Huber@[email protected]♥ 3↻ 22022-11-07 11:31 UTCView post →

  • Just under a month left until my book #CausalAnalysis - #ImpactEvaluation and #CausalMachineLearning with Applications in R is released on Aug 1st by @mitpress: https://mitpress.mit.edu/9780262545914/causal-analysis/

    Martin Huber@[email protected]♥ 0↻ 02023-07-03 11:38 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@[email protected]♥ 0↻ 22023-01-11 20:38 UTCView post →

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/causalmachinelearning