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Morgan Housel engagement report

@morganhousel - 701K followers on X

Measured over 8 original posts from a 30-day window, last computed on September 1, 2026.

Engagement

Middle of its size range
Per follower
0.052%
of 701K followers
Per impression
0.727%
50K views on a typical post
Reach
7.15%
of its followers see a post
Typical post
364
interactions (median)
Saved
0.217%
109 bookmarks on a typical post
Posting rate
0.4/day
active 33% of days
Peak time
14:00 UTC
Friday

A typical post picks up 364 interactions against 701K followers, an engagement rate of 0.052%. Measured over 8 original posts, its engagement rate beats 59% of 3,917 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 50K times each, and 0.727% of those impressions turn into an interaction. That is about 7.15% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 8 posts sampled, 75% carry an image or video, 25% are part of a thread and 25% link out. The account's strongest tracked post pulled 19K interactions, about 53x its own typical post.

Measured over 8 original posts from a 30-day window, last computed on September 1, 2026.

Compared with accounts its own size

Morgan Housel's engagement rate beats 59% of the tracked X accounts closest to it in follower count (3,917 accounts, accounts of similar size (decile 8 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 44% 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 0.052%, Morgan Housel sits above the 25th percentile of the 37,996 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.081%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99154.7%
Engagement rate as a share of followers, across the 37,996 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 96,714 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile154.7%

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 14:00 UTC, and Friday 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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 14:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%53K
01:00 UTC-2%54K
02:00 UTC-3%52K
03:00 UTC-4%56K
04:00 UTC-6%45K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%63K
09:00 UTC-3%72K
10:00 UTC-2%75K
11:00 UTC-3%82K
12:00 UTC-2%90K
13:00 UTC-2%99K
14:00 UTC-3%102K
15:00 UTC-2%105K
16:00 UTC-4%103K
17:00 UTC-3%95K
18:00 UTC-1%89K
19:00 UTC-2%84K
20:00 UTC-1%78K
21:00 UTC-1%69K
22:00 UTC-2%60K
23:00 UTC-2%54K
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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%239K
Monday0%303K
Tuesday-3%305K
Wednesday-1%259K
Thursday-2%251K
Friday-3%260K
Saturday+3%234K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jul 15, 202653x their median

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

    16K3.4K221107382K viewsView on X
  • Oct 7, 202513x 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

    3.7K55936798626K viewsView on X
  • Jul 8, 202613x their median

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

    3.9K6159771949K viewsView on X
  • Feb 23, 20266.0x their median

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

    1.8K2408816125K viewsView on X
  • Mar 9, 20264.3x their median

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

    1.2K1571332086K 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, 20263.4x their median

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

    87915612474277K viewsView on X
  • May 7, 20263.3x 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.

    9583919718284K viewsView on X
  • Feb 9, 20263.1x 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, 20263.1x their median

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

    97840981371K 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 364 interactions against 701K followers, an engagement rate of 0.052%. Measured over 8 original posts, its engagement rate beats 59% of 3,917 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 50K times each, and 0.727% of those impressions turn into an interaction. That is about 7.15% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 14:00 UTC, and Friday is the busiest day of the week. Of the 8 posts sampled, 75% carry an image or video, 25% are part of a thread and 25% link out. The account's strongest tracked post pulled 19K interactions, about 53x its own typical post.

What is Morgan Housel's engagement rate on X?
Morgan Housel (@morganhousel) has an engagement rate of 0.052%, based on the median interactions across 8 original posts from the last 30 days against 701,277 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.052%, Morgan Housel sits above the 25th percentile of the 37,996 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?
Its engagement rate beats 59% of the tracked X accounts closest to it in follower count (3,917 accounts), which puts it in the middle of its size range 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 @morganhousel post?
Most posts go out around 14:00 UTC, and Friday is its busiest day, at roughly 0.4 posts per day across the measured window.

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