#lognormal

Live, measured metrics for the hashtag #lognormal 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 #lognormal

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.

$51.02/ year · 9-character #name
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card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
7
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 7
0
Avg reactions / post
Mastodon · last 7
—
Reddit posts / month
Reddit search
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Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-10-18 17:30 UTC
0
10-12
0
10-13
0
10-14
0
10-15
0
10-16
0
10-17
0
10-18

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · fosstodon.org (Mastodon public search API) · fetched 2026-10-18 17:30 UTC

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-10-18 17:30 UTC

Everything below is measured over the latest 7 public posts (spanning ~25178 hours).

Top of the latest posts

  • #statstab #451 Log-normal Distribution – A simple explanation Thoughts: A simple and useful source for the log-normal distribution, which has many uses (as I will show in 2026 🤫) #lognormal #distribution #exponentional #guide #pedagogy htt

    Dr Mircea Zloteanu 🍂 🍃@[email protected]♥ 0↻ 02025-12-15 17:28 UTCView post →
  • "A generalized linear model or #GLM consists of three components: 1. A random component, specifying the conditional distribution of the response variable, Yᵢ (for the ith of n independently sampled observations). […] 2. A linear predictor—t

    Eric Maugendre about data@[email protected]♥ 0↻ 02025-09-12 13:23 UTCView post →
  • "In #probability theory, a log-normal (or #lognormal) distribution is a continuous probability distribution of a random variable whose logarithm is normally distributed. Thus, if the random variable X is log-normally distributed, then Y = l

    Eric Maugendre about carbon@[email protected]♥ 0↻ 12024-10-25 12:15 UTCView post →

What “lognormal” means

Wiktionary · Wikipedia

lognormal

  • nounA logarithmic function that has a normal distribution.
  • adjectiveDescribing a logarithmic function that has a normal distribution.
Full entry on Wiktionary →

In probability theory, a log-normal (or lognormal) distribution is a continuous probability distribution of a random variable whose logarithm is normally distributed. Thus, if the random variable X is log-normally distributed, then Y = ln X has a normal distribution. Equivalently, if Y has a normal distribution, then the exponential function of Y, X = exp(Y), has a log-normal distribution. A random variable which is log-normally distributed takes only positive real values. It is a convenient and

“Log-normal distribution” on Wikipedia (CC BY-SA) →

#lognormal across platforms

every network with a public tag surface

Follow #lognormal 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/lognormal