#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
24
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 24
0
Avg reactions / post
Mastodon · last 24
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mas.to (Mastodon public tags API) · fetched 2026-10-17 22:02 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 · mas.to (Mastodon public search API) · fetched 2026-10-17 22:02 UTC

Live pulse

measured · mas.to (Mastodon tag timeline) · fetched 2026-10-17 22:02 UTC

Everything below is measured over the latest 24 public posts (spanning ~34373 hours).

Posting hours (UTC) — busiest: 19:00

00:0012:0023:00

Languages: English (23) · Spanish (1)

Avg boosts / post: 0.3

Top of the latest posts

  • #statstab #635 Standardization and other approaches to meta-analyze differences in means Thoughts: A good resource for selecting the standardiser in your SMD & comments for the {metafor} pkg. #metaanalysis #smd #effectsize #cohend #bias #he

    Dr Mircea Zloteanu 🍂 🍃@mzloteanu@mastodon.social♥ 0↻ 02026-10-09 16:31 UTCView post →
  • Let’s Measure Concentration and Dispersion in Ordinal Data ! We test how different measures to capture #agreement, #consensus, #concentration, #clustering, #polarization, etc. in #ordinal #data compare (think: #Likert scales, content analys

    Didier Ruedin@druedin@sciences.social♥ 0↻ 02026-09-25 17:19 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@mastodon.social♥ 0↻ 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