Max Keiser engagement report
@maxkeiser - 680K followers on X
Measured over 16 original posts from a 30-day window, last computed on October 3, 2026.
Engagement
A typical post picks up 56 interactions against 680K followers, an engagement rate of 0.008%. Measured over 16 original posts, its engagement rate beats 31% 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 18K times each, and 0.304% of those impressions turn into an interaction. That is about 2.69% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.1 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 01:00 UTC, and Thursday is the busiest day of the week. Of the 16 posts sampled, 75% carry an image or video and 44% link out. The account's strongest tracked post pulled 4.2K interactions, about 76x its own typical post. Recurring topics include #turismo, #bukelenomics, #nacional.
Measured over 16 original posts from a 30-day window, last computed on October 3, 2026. Recurring tags: #turismo, #bukelenomics, #nacional.
Compared with accounts its own size
Max Keiser's engagement rate beats 31% 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 0.008%, Max Keiser sits above the 10th percentile of the 204,491 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 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 01:00 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% | 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 | 75% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 44% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 75% 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.
- 44% 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 323 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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
- Sep 24, 202676x their median
🚨 EVERY COUNTRY IS LOSING CONTROL OF ITS BOND MARKET. Japan’s 2-year yield just hit a new 31-year high. The 5-year yield just hit a new 31-year high. The 10-year yield just hit a new 30-year high. For one of the most indebted economies in the world, this is very dangerous. https://t.co/TMgM5wvsjY
- Aug 17, 202636x their median
🦔AI companies have borrowed so much money this year that they're pushing up interest rates for the entire economy. Nomura estimates tech borrowing alone now equals 25% of what the US Treasury issues in bonds, five times more than last year. Bank of America says the surge has added about 0.3 percentage points to the 10-year yield. Bond managers are selling Treasuries to buy AI corporate debt instead because it pays more. My Take AI companies are now competing with the US government for the same pool of lenders, and the lenders are picking the corporate bonds. Alphabet's 30-year pays 6.4%. A Meta data center bond pays over 7.5%. At those rates, a 5.2% Treasury loses the fight for capital every time. That's one of the reasons long-term rates have stayed so stubborn even as the Fed tries to bring them down. JPMorgan expects $5.5 trillion in AI infrastructure spending through 2030, and most of it will be borrowed. That borrowing raises the cost of money for everyone, the government, your mortgage, small businesses trying to get a loan. The AI buildout has reached the scale where it moves rates for the whole economy, and most people paying higher borrowing costs have no idea that a data center arms race is one of the reasons why. Hedgie🤗
- Aug 18, 202636x their median
🚨 $420 billion has been wiped out from US stocks at the open as the US bond crisis deepens. https://t.co/t17R9hkJ0O
- Aug 16, 202634x their median
🚨 BOND MARKET CRISIS IS HITTING THE ENTIRE WORLD The Bloomberg Global Long Bond Index yield has surged to around 4.2%, its highest level since July 2008. Long term government borrowing costs are now back at levels last seen during the global financial crisis. With governments carrying far more debt today, higher yields are making refinancing increasingly expensive. This is becoming a major pressure point for global financial markets.
- Aug 19, 202627x their median
Over ¥35,300,000,000,000 ($225 BILLION) has been wiped out from Japanese stocks as the NIKKEI crashed -3%, extending its sell-off into a second straight day. https://t.co/1lEbjie8IF
- Aug 18, 202625x their median
As Japanese Bond Yields Soar, Unrealized Losses At Life Insurers Hit $200 Billion https://t.co/SGDUylj7pg
- Aug 18, 202619x their median
Stripe building the agentic payment platform just said on A16z pod that "tokens are the new dollars" Jensen Huang building the GPUS for the AI factories just said in his X post "in the AI economy, compute is revenue" Together, that’s the AI economy: money → compute → intelligence → output. AI is breaking the old link between economic output and human time. The AI Macro Nexus Point where AI and crypto merge to form the new agentic speed economy is starting now. https://t.co/oB6nGLCX1a
- Mar 22, 202619x their median
True believers & builders in El Salvador are CRUSHING IT‼️ https://t.co/b00Sg0B0aM
- Sep 30, 202614x their median
BREAKING 🚨: France France is likely to face even higher borrowing costs due to its degrading creditworthiness, warns Vanguard 👀 https://t.co/HVPIWa217Y
- Aug 24, 202613x their median
"Dos datos importantes. El primero es que vamos a pasar a una inversión de $3,000 millones al año, que es tres veces más de lo que se ha invertido en gobiernos anteriores, el equivalente a más del 8 % del PIB. No habrá otro país en Latinoamérica que invierta un presupuesto más alto en la educación que El Salvador", resalta el Presidente @nayibbukele.
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 56 interactions against 680K followers, an engagement rate of 0.008%. Measured over 16 original posts, its engagement rate beats 31% 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 18K times each, and 0.304% of those impressions turn into an interaction. That is about 2.69% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.1 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 01:00 UTC, and Thursday is the busiest day of the week. Of the 16 posts sampled, 75% carry an image or video and 44% link out. The account's strongest tracked post pulled 4.2K interactions, about 76x its own typical post. Recurring topics include #turismo, #bukelenomics, #nacional.
- What is Max Keiser's engagement rate on X?
- Max Keiser (@maxkeiser) has an engagement rate of 0.008%, based on the median interactions across 16 original posts from the last 30 days against 679,609 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.008%, Max Keiser sits above the 10th percentile of the 204,491 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 @maxkeiser have real engagement?
- Its engagement rate beats 31% 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 @maxkeiser post?
- Most posts go out around 01:00 UTC, and Thursday is its busiest day, at roughly 4.1 posts per day across the measured window.