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Morgan Housel engagement report

@morganhousel - 725K followers on X

Measured over 5 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Per follower
0.045%
of 725K followers
Per impression
0.845%
37K views on a typical post
Reach
5.29%
of its followers see a post
Typical post
317
interactions (median)
Saved
0.261%
98 bookmarks on a typical post
Posting rate
0.23/day
active 20% of days
Peak time
13:00 UTC
Tuesday

Early reading. We have captured 5 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 317 interactions against 725K followers, an engagement rate of 0.045%. Posts are seen about 37K times each, and 0.845% of those impressions turn into an interaction. That is about 5.17% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 5 posts sampled, 80% carry an image or video and 40% link out. The account's strongest tracked post pulled 19K interactions, about 61x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 5 original posts from a 30-day window, last computed on October 2, 2026.

Where this sits in the catalog

At 0.045%, Morgan Housel sits above the 25th percentile of the 205,261 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

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 13:00 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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 video80% of posts+111%+108% to +115%34K
Outbound link40% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 80% 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.
  • 40% 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 221 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

  • Jul 15, 202661x their median

    “The best math you can learn is how to calculate the future cost of current decisions.”

    16K3.4K218109384K viewsView on X
  • Oct 7, 202515x their median

    My new book The Art of Spending Money is out now. You can buy it here: https://t.co/LLkOYe2vsM I hope you enjoy reading it as much as I enjoyed writing it. https://t.co/wtwkWM6K49

    3.8K58037799643K viewsView on X
  • Jul 8, 202615x their median

    A Russian saying on nostalgia: "The past is more unpredictable than the future."

    3.9K6149771951K viewsView on X
  • Feb 23, 20266.9x their median

    "For reasons I have never understood, people like to hear that the world is going to hell." - Deirdre McCloskey, relevant today.

    1.8K2418816125K viewsView on X
  • Mar 9, 20264.9x their median

    The demand for forecasts goes up when there’s an unforeseen shock, which is when forecasts become the least accurate.

    1.2K1571312086K viewsView on X
  • Jan 21, 20263.8x their median

    My conversation with @morganhousel 0:00 Intro 7:22 Happiness vs Contentment 11:45 Independence Is a Spectrum 14:40 Survival Beats Intelligence 21:05 Why You’ll Underperform 22:32 Should You Buy a House? 22:32 Housing Is the Problem 35:08 Money Across Life Stages 43:50 Raising Kids With Wealth 55:46 The Vanderbilt Warning 1:07:51 Depressions, Panics, Downturns 1:14:20 Passive Income 1:32:27 What Matters 1:40:38 What Can History Teach Us About Inflation? 1:47:46 How Morgan Invests 1:53:36 Defining Success (Includes paid partnerships. Thanks @meetgranola for sponsoring this episode.)

    1.1K2152527730K viewsView on X
  • Jul 2, 20263.9x their median

    Every generation thinks America was best when they were kids. https://t.co/YyBMkY0K67 https://t.co/HHQmigCQmA

    87815712375279K viewsView on X
  • May 7, 20263.8x their median

    I don't fully buy the idea that living in an age of uncertainty is what's driving the decline in fertility. The Baby Boom took place when your kids had to practice duck-and-cover drills at school to prepare for what was seen as the inevitable nuclear apocalypse.

    9514019618286K viewsView on X
  • Feb 9, 20261.7x their median

    Chris Rock says teachers provide half of the education at school, bullies provide the other. “And learning how to deal with bullies is that half you’ll actually use as a grownup.”

    1.0K8143882K viewsView on X
  • Feb 11, 20263.6x their median

    Round numbers update: https://t.co/pacdahr42s

    97541991371K 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.

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Reading these numbers

A typical post picks up 317 interactions against 725K followers, an engagement rate of 0.045%. Posts are seen about 37K times each, and 0.845% of those impressions turn into an interaction. That is about 5.17% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 13:00 UTC, and Tuesday is the busiest day of the week. Of the 5 posts sampled, 80% carry an image or video and 40% link out. The account's strongest tracked post pulled 19K interactions, about 61x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is Morgan Housel's engagement rate on X?
Morgan Housel (@morganhousel) has an engagement rate of 0.045%, based on the median interactions across 5 original posts from the last 30 days against 725,114 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.045%, Morgan Housel sits above the 25th 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 @morganhousel have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @morganhousel post?
Most posts go out around 13:00 UTC, and Tuesday is its busiest day, at roughly 0.23 posts per day across the measured window.

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