#iptw

Live, measured metrics for the hashtag #iptw 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 #iptw

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.

$2,449.80/ year · 4-character #name
Claim #iptw — $2,449.80/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
3
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 3
0.7
Avg reactions / post
Mastodon · last 3

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-07-27 22:50 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 22:50 UTC
#iptwitter
0 uses · 0 accounts / 7d

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-07-27 22:50 UTC

Everything below is measured over the latest 3 public posts (spanning ~9217 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (3)

Avg boosts / post: 0

Top of the latest posts

  • #statstab #367 Matching in R: Propensity Scores, Weighting (IPTW) and the Double Robust Estimator Thoughts: A guide on common adjustments for observational studies. #r #observational #iptw #matching #weights #doublerobust #guide #causalinfe

    Dr Mircea Zloteanu 🌺🌞🍃@mzloteanu♥ 2↻ 02025-06-17 16:20 UTCView post →

  • #statstab #575 How to create a(n almost) fully Bayesian outcome model with inverse probability weights Thoughts: An interesting way to do IPTW within a Stan/bayesian framework. #brms #stan #iptw #causalinference #weighting #rstats #r #bayes

    Dr Mircea Zloteanu 🌺🌞🍃@mzloteanu♥ 0↻ 02026-07-06 17:10 UTCView post →

  • #statstab #458 Causal inference for observational data using {modelbased} Thoughts: IPW, g-computation, and more. Learning OS and ways to compute ATE for (more accurate, but still not great) inference. #gcomputation #ipw #iptw #observationa

    Dr Mircea Zloteanu 🌺🌞🍃@mzloteanu♥ 0↻ 02025-11-12 20:22 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/iptw