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Columbia Climate School engagement report

@columbiaclimate - 89K followers on X

Measured over 31 original posts from a 30-day window, last computed on September 24, 2026.

Engagement

Bottom quarter for its size
Per follower
0.004%
of 89K followers
Per impression
0.726%
551 views on a typical post
Reach
0.62%
of its followers see a post
Typical post
4
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
1.93/day
active 60% of days
Peak time
16:00 UTC
Tuesday

A typical post picks up 4 interactions against 89K followers, an engagement rate of 0.004%. Measured over 31 original posts, its engagement rate beats 11% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 551 times each, and 0.726% of those impressions turn into an interaction. That is about 0.617% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 31 posts sampled, 81% carry an image or video and 100% link out. The account's strongest tracked post pulled 23 interactions, about 5.8x its own typical post.

Measured over 31 original posts from a 30-day window, last computed on September 24, 2026. Recurring tag: #climateweeknyc.

Compared with accounts its own size

Columbia Climate School's engagement rate beats 11% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 7 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 32% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.004%, Columbia Climate School sits above the 10th percentile of the 205,261 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,261 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 16:00 UTC, and Tuesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video81% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 81% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 276 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Sep 13, 20265.8x their median

    Extreme heat has become more common, but also more frequent in the months before and after typical warm seasons, finds a new study led by climate scientist Catherine Ivanovich of NASA GISS. Via State of the Planet: https://t.co/jAiAGq3HJW https://t.co/EdISDl8ey7

    138201.1K viewsView on X
  • Sep 17, 20264.8x their median

    This #ClimateWeekNYC, as @ClimateGroup's education partner, we're bringing bold ideas, leading experts, and groundbreaking research to shape the conversation on climate action. Explore some highlighted events and learn more via State of the Planet: https://t.co/j7I333rnZv https://t.co/Vr3GCcA2Wz

    134115.4K viewsView on X
  • Sep 3, 20263.3x their median

    📣 Job Alerts! CCSR (https://t.co/0QR7Ohb7ht) invites applications for: 🌾 Associate Research Scientist in crop modeling & agricultural impact: https://t.co/nJkua6rRYb ☁️ Associate Research Scientist in cloud microphysics modeling: https://t.co/fWSgrUjoOe ➡️ Please apply/share! https://t.co/UI1r5XTyBj

    85001.0K viewsView on X
  • Aug 26, 20263.0x their median

    Alex de Sherbinin, director of CIESIN, has been named director of Earth Institute Hub, a new @columbiaclimate initiative to strengthen university-wide collaboration on issues spanning climate, Earth, society, and sustainability. Via State of the Planet: https://t.co/FR3S1HGNI9 https://t.co/I8s0bewQo1

    9300802 viewsView on X
  • Sep 23, 20262.8x their median

    Sustainable development alum Dylan Dettloff used his @columbiaclimate Collaborative Research Grant to develop a Python-based decision tool to help rural & water-scarce communities identify most suitable desalination technologies. Via State of the Planet: https://t.co/oTXNQehm3v https://t.co/NoQFdtFbRY

    5600649 viewsView on X
  • Sep 10, 20262.8x their median

    As a very strong El Niño event likely looms, @columbiaclimate professor/@columbia_ncdp faculty director @jeffschlegel urges reframing of our disaster management systems to be proactive, applying lessons learned while we still have time. Via @thehill. https://t.co/bRpt3fYgqx

    10100551 viewsView on X
  • Jul 22, 20262.8x their median

    On Aug 5 5:30-8:30pm ET, join us for the Harlem Week 2026 Climate Change Conference to explore creating a safer, healthier future for communities disproportionately affected by climate impacts. ➡️ Learn More/RSVP: https://t.co/6QNxgS5Xsy https://t.co/6LUW6pOjsy

    7400715 viewsView on X
  • Jul 17, 20262.8x their median

    European countries lead the world in environmental outcomes, but few countries are fully on track to meet net-zero emissions by 2050, finds 2026 Environmental Performance Index by @YaleCELP, @ColumbiaClimate's CIESIN, Yale Center for Geospatial Solutions: https://t.co/PDCC8A4o1V https://t.co/4oHayCeKuS

    9011463 viewsView on X
  • Sep 10, 20262.5x their median

    This #ClimateWeekNYC, as @ClimateGroup's education partner, we're bringing bold ideas, leading experts, and groundbreaking research to shape the conversation on climate action. Explore our events, stories, & updates on the lead-up & throughout the week: https://t.co/Rq23lQWJ1X https://t.co/dGrjr8vBXV

    6400671 viewsView on X
  • Aug 24, 20262.5x their median

    🔥 New online professional learning course! Managing Disaster Risk Through Climate Uncertainty with @columbiaclimate professor @jeffschlegel of @columbia_ncdp Learn frameworks, techniques, and data-driven approaches to build resilience. ➡️ @columbiaplus: https://t.co/nhdU7ILQt8 https://t.co/h7LtJRKoZ9

    6400616 viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

Recurring topics

#climateweeknyc

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 4 interactions against 89K followers, an engagement rate of 0.004%. Measured over 31 original posts, its engagement rate beats 11% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 551 times each, and 0.726% of those impressions turn into an interaction. That is about 0.617% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 16:00 UTC, and Tuesday is the busiest day of the week. Of the 31 posts sampled, 81% carry an image or video and 100% link out. The account's strongest tracked post pulled 23 interactions, about 5.8x its own typical post.

What is Columbia Climate School's engagement rate on X?
Columbia Climate School (@columbiaclimate) has an engagement rate of 0.004%, based on the median interactions across 31 original posts from the last 30 days against 89,330 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.004%, Columbia Climate School sits above the 10th percentile of the 205,261 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @columbiaclimate have real engagement?
Its engagement rate beats 11% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @columbiaclimate post?
Most posts go out around 16:00 UTC, and Tuesday is its busiest day, at roughly 1.93 posts per day across the measured window.

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