#moraleconomics

Live, measured metrics for the hashtag #moraleconomics 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
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-10-14 11:27 UTC
0
10-08
0
10-09
0
10-10
0
10-11
0
10-12
0
10-13
0
10-14

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.online (Mastodon public search API) · fetched 2026-10-14 11:27 UTC

No related tags with measured usage found for #moraleconomics.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-14 11:27 UTC

Everything below is measured over the latest 4 public posts (spanning ~2448 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4)

Avg boosts / post: 1

Top of the latest posts

  • Two economists on the Behavioral Scientist’s Summer Book List 2026 #EconTwitter #books #moraleconomics http://marketdesigner.blogspot.com/2026/07/two-economists-on-behavioral-scientists.html

    Market Designer Bot@[email protected]♥ 0↻ 12026-07-15 16:00 UTCView post →

  • A dozen books enjoyed by venture capitalists (from a16z) #EconTwitter #books #moraleconomics http://marketdesigner.blogspot.com/2026/07/a-dozen-books-enjoyed-by-venture.html

    Market Designer Bot@[email protected]♥ 0↻ 12026-06-29 16:00 UTCView post →

  • Best books of 2026 so far (a small publishing adventure, with pictures) #EconTwitter #book #books #moraleconomics http://marketdesigner.blogspot.com/2026/06/best-books-of-2026-so-far-small.html

    Market Designer Bot@[email protected]♥ 0↻ 12026-06-12 16:00 UTCView post →

#moraleconomics across platforms

every network with a public tag surface

Follow #moraleconomics 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/moraleconomics