Cassandra Unchained engagement report
@michaeljburry - 2.1M followers on X
Measured over 34 original posts from a 30-day window, last computed on October 25, 2026.
Engagement
A typical post picks up 634 interactions against 2.1M followers, an engagement rate of 0.03%. Measured over 34 original posts, its engagement rate beats 50% of 20,444 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 217K times each, and 0.292% of those impressions turn into an interaction. That is about 10.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 34 posts sampled, 29% carry an image or video, 24% are part of a thread and 62% link out. The account's strongest tracked post pulled 15K interactions, about 18x its own typical post. Recurring topics include #calfire, #california.
Measured over 34 original posts from a 30-day window, last computed on October 25, 2026. Recurring tags: #calfire, #california.
Compared with accounts its own size
Cassandra Unchained's engagement rate beats 50% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 21% 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 0.03%, Cassandra Unchained sits above the 25th percentile of the 204,798 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 17:00 UTC, and Monday 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 29% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 62% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 29% 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.
- 62% 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 242 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
- Jan 20, 202618x their median
One reason Greenland is strategically important to the US is in fact twofold: 1. It’s the best place to set up anti-missile defenses to intercept ICBMs coming from Russia / China 2. It’s a very good place to set up offensive missile capabilities to threaten Russia / China The WSJ had a good graphic out a few days ago showing the trajectory of missiles from ICBM sites around Russia to the US would fly overhead or near Greenland, which also happens to be almost directly beneath where those missiles would reach their highest points (“apogee”) which is when they are most vulnerable to interception because they are traveling at their slowest speeds. If you throw a ball into the air you’ll see the same effect - the ball is slowest at its highest point. And for an intelligently guided missile capable of trying to evade interception, you have an even better chance to shoot it down from a point directly beneath it since that is the closest path to the missile (i.e. least amount of warning time for the missile to realize an interceptor is coming). This above is all courtesy of our resident rocket scientist Phil. The US already has the right to dot Greenland with military installations, and I imagine that extends to intercepting ICBMs. Though Europe might object for some purposes.
- Sep 14, 202623x their median
Let's all take a moment to understand how self-serving it is for OpenAI, Anthropic and other execs of big hyperscalers to talk of slowing things down. 1. LLMs are not AI and won't be AGI. There is nothing AI to slow down. 2. Competition is coming up fast, slowing benefits incumbents. 3. IPOs need hype & puffery; "we are so awesome it could become dangerous" is hype & puffery 4. Cover for real uncontrollable slowing growth as IPOs look to be pushed out
- Oct 6, 202618x their median
The stock market is quite obviously in its first stage of grief, denial. Per 2000 and 2008, this stage lasts 6-9 months.
- Sep 29, 202616x their median
For the benefit of humanity, the markets should tank hard and prevent the OpenAI and Anthropic IPOs.
- Sep 17, 202615x their median
“One of the reasons why I am in favor of less government is because when you have more government, industrialists take it over, and the two together form a coalition against the ordinary worker and the ordinary consumer.” — Milton Friedman
- Sep 16, 202612x their median
I am righteously indignant over the wealth transfer to the very few that these bubbles create. The whole system is about creating bubbles so the grift can happen, both inside companies, transferring wealth to their employees at obscene rates, and in politics, as we see all over.
- Oct 6, 202612x their median
The only reason the CEOs of these tech monopolies are spending wildly on data centers like they are is because they assume they will be granted an oligopoly that is too big too fail.
- Feb 21, 202612x their median
A question I have for $ORCL, $GOOG, $META, $MSFT, $AMZN, $NVDA, $CAT, and all the rest, “When does the spending for AI data center buildout actually end?” It is consuming all your cash flow, you are borrowing, you are financing in ways you never have, apparently because it is so urgent, because it scales? But if it scales, when does it end? Now you are engaging in accounting tricks to hide expense, to protect earnings, as the impact is so severe. You will be tortuously adjusting your earnings in a new and sinister ways. When does it end?
- Dec 5, 20259.2x their median
Jan 31, 2023 - I tweet “Sell” Banking crisis ensues and banks fail. There is panic and stocks fall. Mar 13, 2023 - I tweet “This crisis could resolve very quickly. I am not seeing true danger here.” March 30, 2023 - I tweet “I was wrong to say sell.” /meme corrected https://t.co/uQoPCncRYh
- Sep 14, 20269.8x their median
Regarding “the science,”this is something you all need to know. Most published science is fake or false This is out of Stanford University and the author here John P. A. Ioannidis is one of the most-cited individuals on Earth. https://t.co/jWKC8YBuHP
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
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.
Buy or sell Twitter (X) accounts - escrow-protected
PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 634 interactions against 2.1M followers, an engagement rate of 0.03%. Measured over 34 original posts, its engagement rate beats 50% of 20,444 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 217K times each, and 0.292% of those impressions turn into an interaction. That is about 10.2% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 17:00 UTC, and Monday is the busiest day of the week. Of the 34 posts sampled, 29% carry an image or video, 24% are part of a thread and 62% link out. The account's strongest tracked post pulled 15K interactions, about 18x its own typical post. Recurring topics include #calfire, #california.
- What is Cassandra Unchained's engagement rate on X?
- Cassandra Unchained (@michaeljburry) has an engagement rate of 0.03%, based on the median interactions across 34 original posts from the last 30 days against 2,133,231 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.03%, Cassandra Unchained sits above the 25th percentile of the 204,798 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 @michaeljburry have real engagement?
- Its engagement rate beats 50% of the tracked X accounts closest to it in follower count (20,444 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 @michaeljburry post?
- Most posts go out around 17:00 UTC, and Monday is its busiest day, at roughly 2.37 posts per day across the measured window.