Cassandra Unchained engagement report
@michaeljburry - 2.1M followers on X
Measured over 23 original posts from a 30-day window, last computed on September 1, 2026.
Engagement
A typical post picks up 428 interactions against 2.1M followers, an engagement rate of 0.02%. Measured over 23 original posts, its engagement rate beats 58% of 3,739 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 193K times each, and 0.222% of those impressions turn into an interaction. That is about 9.20% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 14:00 UTC, and Thursday is the busiest day of the week. Of the 23 posts sampled, 52% carry an image or video and 83% link out. The account's strongest tracked post pulled 7.2K interactions, about 17x its own typical post. Recurring topics include #alibaba, #evh, #vanhalen.
Measured over 23 original posts from a 30-day window, last computed on September 1, 2026. Recurring tags: #alibaba, #evh, #vanhalen.
Compared with accounts its own size
Cassandra Unchained's engagement rate beats 58% of the tracked X accounts closest to it in follower count (3,739 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 0.02%, Cassandra Unchained sits above the 25th percentile of the 36,378 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.012% |
| 50th percentile | 0.08% |
| 75th percentile | 0.432% |
| 90th percentile | 2.10% |
| 99th percentile | 161.0% |
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 Thursday 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% | 50K |
| 01:00 UTC | -2% | 51K |
| 02:00 UTC | -3% | 50K |
| 03:00 UTC | -4% | 53K |
| 04:00 UTC | -6% | 43K |
| 05:00 UTC | -4% | 42K |
| 06:00 UTC | -4% | 48K |
| 07:00 UTC | -5% | 52K |
| 08:00 UTC | -4% | 60K |
| 09:00 UTC | -3% | 69K |
| 10:00 UTC | -2% | 72K |
| 11:00 UTC | -3% | 78K |
| 12:00 UTC | -2% | 86K |
| 13:00 UTC | -2% | 94K |
| 14:00 UTC | -4% | 97K |
| 15:00 UTC | -2% | 100K |
| 16:00 UTC | -3% | 97K |
| 17:00 UTC | -2% | 90K |
| 18:00 UTC | -1% | 84K |
| 19:00 UTC | -2% | 79K |
| 20:00 UTC | -1% | 74K |
| 21:00 UTC | -1% | 66K |
| 22:00 UTC | -2% | 57K |
| 23:00 UTC | -2% | 51K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +4% | 230K |
| Monday | 0% | 286K |
| Tuesday | -2% | 276K |
| Wednesday | -1% | 251K |
| Thursday | -1% | 244K |
| Friday | -3% | 252K |
| Saturday | +3% | 227K |
Best tweets
- Feb 21, 202617x 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?
- Jul 19, 202614x their median
95% of investors likely have no idea what they really own. Let me re-phrase that. 95% of investors like to have no real idea of what they own.
- Jul 24, 202612x their median
Patience is the single most difficult skill to master for investing well. Too, the most impactful. Position sizing trails patience. The more patience, the largera a position can be. One must not mistake patience for foolhardiness. A hardy fool is just a hardy fool.
- Jul 11, 20269.6x their median
Home prices never fall! Buy 5 houses! Are you both dumb AND blind? https://t.co/Al6taZPPQB
- Aug 20, 20269.1x their median
Who wants to be the next George Soros? *BESSENT: BUYBACKS COULD BE BIGGER THAN THE $4B WE ANNOUNCED *BESSENT: US YIELDS DON'T REFLECT UNDERLYING FUNDAMENTALS *BESSENT: LIQUIDITY IN 30-YEAR POINT ESPECIALLY POOR
- Jul 10, 20268.9x their median
Companies are issuing shares more, buying back less. https://t.co/GbVQ38W59I
- Jul 11, 20268.8x their median
#kalshi as with all #PredictionMarkets is In a regulatory loophole within an extremely heavily taxed and excessively regulated industry that is gambling no matter what anyone calls it. It is as old as humanity and has driven people to enslave their families and descendents in long ago times. Worse, there is nothing preventing cheating in prediction markets. Cheating, the only activity as old as gambling, with the same power to drive humans to extremes. So Kalshi presents the ability to gamble and cheat, and the loophole allows all of it in every state. So of course it is number 1 by a mile and will keep growing as long as society steps aside and lets these horrific base human weaknesses run roughshod over all and any logical, moral and decent challenge.
- Jul 24, 20268.4x their median
The last can private equity will kick down the road "Private equity (PE) firms have acquired large life insurers and loaded their balance sheets with private credit assets that are opaque and difficult for regulators to value...when a life insurer becomes insolvent, state-based guaranty funds protect insurance policyholders by "assessing" surviving insurers to cover the shortfall. In most states, such outlays are fully creditable against state premium taxes over time..PE-owned life insurers reflect a structural transformation in which an insurer supports a broader asset-management business that is designed to extract value upfront and impose losses on others. PE firms exploit this regulatory regime by pairing life insurers with private credit to capture value from both sides" #privateequity #privatecredit #insurance https://t.co/MSwkuVeYBN
- Mar 21, 20268.3x their median
What really matters to the market and the US economy is not the Strait of Hormuz. https://t.co/XyFjpIPvVW
- Jul 11, 20267.9x their median
Buy Internet Stocks You Idiot! https://t.co/u4s3HOQvj8
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.
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Reading these numbers
A typical post picks up 428 interactions against 2.1M followers, an engagement rate of 0.02%. Measured over 23 original posts, its engagement rate beats 58% of 3,739 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 193K times each, and 0.222% of those impressions turn into an interaction. That is about 9.20% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 14:00 UTC, and Thursday is the busiest day of the week. Of the 23 posts sampled, 52% carry an image or video and 83% link out. The account's strongest tracked post pulled 7.2K interactions, about 17x its own typical post. Recurring topics include #alibaba, #evh, #vanhalen.
- What is Cassandra Unchained's engagement rate on X?
- Cassandra Unchained (@michaeljburry) has an engagement rate of 0.02%, based on the median interactions across 23 original posts from the last 30 days against 2,100,454 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.02%, Cassandra Unchained sits above the 25th percentile of the 36,378 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 58% of the tracked X accounts closest to it in follower count (3,739 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 14:00 UTC, and Thursday is its busiest day, at roughly 1.07 posts per day across the measured window.