#likert

Live, measured metrics for the hashtag #likert 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 #likert

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.

$520.70/ year · 6-character #name
Claim #likert — $520.70/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
26
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 26
0.6
Avg reactions / post
Mastodon · last 26
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.social (Mastodon public tags API) · fetched 2026-10-17 09:24 UTC
0
10-11
0
10-12
0
10-13
0
10-14
0
10-15
0
10-16
0
10-17

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 2026-10-17 09:24 UTC

Live pulse

measured · mastodon.social (Mastodon tag timeline) · fetched 2026-10-17 09:24 UTC

Everything below is measured over the latest 26 public posts (spanning ~72813 hours).

Posting hours (UTC) — busiest: 19:00

00:0012:0023:00

Languages: English (24) · Spanish (1)

Avg boosts / post: 0.4

Top of the latest posts

  • #statstab #143 {likert} package: Analysis and Visualization of Likert Based Items Thoughts: As the battle for best way to visualise ordinal data continue, here is a package that does some straightforward plots. #R #likert #ordinal #dataviz

    Dr Mircea Zloteanu 🍂 🍃@mzloteanu♥ 4↻ 02024-07-24 16:08 UTCView post →
  • #statstab #81 Visualisation of ordinal models Thoughts: I run a lot of ordinal models, but still haven't found a way to plot the models to be both "accurate" and interpretabile. #ordinal #dataviz #brms #likert https://towardsdatascience.com

    Dr Mircea Zloteanu 🍂 🍃@mzloteanu♥ 3↻ 32024-04-29 16:43 UTCView post →
  • #statstab #574 When the Mean is Misleading: a Guide to Ordered Regression for Meaningfully Modeling Ordinal Outcomes Thoughts: The "it's fine to analyse likert/ordinal data with t-test" camp is not doing themselves any favours #ordinal #lik

    Dr Mircea Zloteanu 🍂 🍃@mzloteanu♥ 1↻ 02026-07-03 18:53 UTCView post →

#likert across platforms

every network with a public tag surface

Follow #likert 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.

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/likert