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Grant Sanderson engagement report

@3blue1brown - 461K followers on X

Measured over 1 original post from a 30-day window, last computed on September 23, 2026.

Engagement

Per follower
0.725%
of 461K followers
Per impression
3.00%
110K views on a typical post
Reach
24.2%
of its followers see a post
Typical post
3.3K
interactions (median)
Saved
1.12%
1.2K bookmarks on a typical post
Posting rate
0.03/day
active 3% of days
Peak time
18:00 UTC
Friday

Early reading. We have captured 1 original post 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 3.3K interactions against 461K followers, an engagement rate of 0.725%. Posts are seen about 110K times each, and 3.00% of those impressions turn into an interaction. That is about 23.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 18:00 UTC, and Friday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 29K interactions, about 8.6x its own typical post. Only 1 original post 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 1 original post from a 30-day window, last computed on September 23, 2026.

Where this sits in the catalog

At 0.725%, Grant Sanderson sits above the 75th percentile of the 205,374 accounts in this comparison. That places it in the top 25% band, which runs 0.678% to 2.55%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,374 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,897 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 18:00 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: 18:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 18:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video100% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 100% 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 177 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below the same accounts' other posts.

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

  • Jan 6, 20258.6x their median

    I learned yesterday the video I made in 2017 explaining how Bitcoin works was taken down, and my channel received a copyright strike (despite it being 100% my own content). The request seems to have been issued by a company chainpatrol, on behalf of Arbitrum, whose website says they "makes use of advanced LLM scanning" for "Brand Protection for Leading Web3 Companies" I could be wrong, but it sounds like there's a decent chance this means some bot managed to convince YouTube's bots that some re-upload of that video (of which there has been an incessant onslaught) was the original, and successfully issue the takedown and copyright strike request. It's naturally a little worrying that it should be possible to use these tools to issue fake takedown requests, considering that it only takes 3 to delete an entire channel.

    26K1.6K4982531.9M viewsView on X
  • Aug 31, 20242.6x their median

    Excerpt from a video I just posted on YouTube (about the multilayer perception layers in a transformer, and how LLMs may store facts). https://t.co/HDNWzX6AxX

    7.4K83711184623K viewsView on X
  • Oct 12, 20252.5x their median

    Ever since I made a video about Fourier Transforms, one of the most requested topics on the channel has been its close cousin, the Laplace Transform. I've been having a lot of fun animating a mini-series about this topic, and the main part is now out. https://t.co/oKawJAGyx1

    7.2K7539869853K viewsView on X
  • Feb 8, 20251.9x their median

    I just put up a new video, which was a collaboration with Terence Tao about the cosmic distance ladder. You can find the full video on YouTube, and here's a bit of extra footage that didn't make it into the final. https://t.co/fCywryreGy

    5.6K5758793307K viewsView on X
  • Oct 12, 20241.9x their median

    The most common question about 3blue1brown is how I animate videos, so I made a video to give a peek behind the scenes. https://t.co/TN5nfNFDus

    5.5K5585668303K viewsView on X
  • Mar 14, 20261.6x their median

    Happy Pi Day! In a certain sense, π is not a constant, but a variable. Using our usual Euclidean distance, it is 3.14159… but applying other L^p norms on ℝ², half the unit circle's perimeter will give other values. For instance, at p=1 (taxicab geometry), “π” = 2√2. At p ≈ 2.2, it's 3.20. Anyway, the video I was hoping to have out this day will be out closer to the 20th. Some call it “missing your deadline”, but I prefer to think of it as giving the L_{2.2} norm a little love.

    5.0K3196025199K viewsView on X
  • May 23, 20241.6x their median

    I often prefer to read math than to watch videos on it, especially in reviewing material. For anyone who feels the same, there are now written/illustrated versions of the linear algebra series, thanks to the help of Kurt Bruns. https://t.co/Dnjc6HfosG https://t.co/HDCSvOeh57

    4.5K5627047305K viewsView on X
  • Apr 30, 20251.5x their median

    I just put up a new video on the fundamentals of quantum computing, building up to a step-by-step walk-through of something known as Grover’s algorithm. Here's an excerpt of a quiz used to introduce the topic. https://t.co/uz5iktQAGX

    4.5K4448844237K viewsView on X
  • Jul 19, 2025

    Welp, somewhat embarrassingly, yesterday this account was briefly compromised and someone posing as me promoted a crypto project supposedly "tokenizing" manim. Thank you to those of you who quickly flagged it as spam and alerted me to the problem. For future reference, it's a safe bet that you'll never see me creating and promoting a meme coin.

    4.7K946317243K viewsView on X
  • Jan 31, 2026

    New video! Memorable for its delightfully absurd name, the Hairy Ball Theorem is extremely beautiful and has some surprising applications. Full video here: https://t.co/dbfi7yXaOD https://t.co/CrwUGtM4Ja

    4.2K3615753286K 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 3.3K interactions against 461K followers, an engagement rate of 0.725%. Posts are seen about 110K times each, and 3.00% of those impressions turn into an interaction. That is about 23.9% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.03 posts a day over the last 30 days, though only 3% of days saw any activity at all. Most posts go out around 18:00 UTC, and Friday is the busiest day of the week. Of the 1 posts sampled, 100% carry an image or video and 100% link out. The account's strongest tracked post pulled 29K interactions, about 8.6x its own typical post. Only 1 original post 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 Grant Sanderson's engagement rate on X?
Grant Sanderson (@3blue1brown) has an engagement rate of 0.725%, based on the median interactions across 1 original posts from the last 30 days against 461,136 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.725%, Grant Sanderson sits above the 75th percentile of the 205,374 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 @3blue1brown have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @3blue1brown post?
Most posts go out around 18:00 UTC, and Friday is its busiest day, at roughly 0.03 posts per day across the measured window.

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