James Lavish engagement report
@jameslavish - 173K followers on X
Measured over 25 original posts from a 30-day window, last computed on October 19, 2026.
Engagement
A typical post picks up 1.1K interactions against 173K followers, an engagement rate of 0.614%. Measured over 25 original posts, its engagement rate beats 84% of 19,933 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 31K times each, and 3.48% of those impressions turn into an interaction. That is about 17.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 25 posts sampled, 48% carry an image or video. The account's strongest tracked post pulled 11K interactions, about 11x its own typical post.
Measured over 25 original posts from a 30-day window, last computed on October 19, 2026.
Compared with accounts its own size
James Lavish's engagement rate beats 84% of the tracked X accounts closest to it in follower count (19,933 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 77% 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 0.614%, James Lavish sits above the 50th percentile of the 201,130 accounts in this comparison. That places it in the above the median band, which runs 0.141% to 0.671%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.141% |
| 75th percentile | 0.671% |
| 90th percentile | 2.53% |
| 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 14:00 UTC, and Wednesday 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 | 48% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 4% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 48% 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.
- 4% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 183 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 15, 202611x their median
Most people have never heard of the Cantillon Effect. But once you understand it, you’ll see the world of investing differently. What is it? In the early 1700s, Richard Cantillon noticed a simple pattern: When new money enters an economy, it doesn’t reach everyone at once. And whoever gets it first benefits the most. Here’s how it works today: New liquidity enters through the Fed and through bank lending. Both follow a similar pattern: → Markets and large balance sheets get first access → Large corporations and well-connected borrowers tap cheap credit next, they invest and expand at today’s prices → Asset prices tend to rise as new liquidity chases finite assets → Consumer prices often follow → Wages rise last, usually after purchasing power has already declined Fed data shows how lopsided the playing field is: - The top 10% hold nearly 90% of equities. - The bottom 50% holds about 1%. It’s a simple but powerful monetary transmission. Understanding this won’t change the system. But it might change how you think about where to store your savings. For those of you who don't know, I write all about topics like this every week in The Informationist. Last week, we dove deep on this one. Link in bio if you want to read the full explanation.
- Oct 4, 20224.7x their median
Treasury auctions can give us clues to the health or problems of the entire US financial system. But what are those clues and how can you tell? Time for a Treasury 🧵👇
- Oct 8, 20264.1x their median
Billionaires are not the reason you're struggling financially. Taxation is.
- Sep 5, 20263.6x their median
Seinfeld Bitcoin Highlights 🎬₿ A montage of all the Seinfeld Bitcoin clips so far! If you’ve been enjoying them, please retweet and follow. More on the way.
- Sep 15, 20263.4x their median
Good afternoon. Bitcoin selling off here because the Clarity Act failed today presents a strong buying opportunity. Bitcoin does not need this legislation at all to continue to grow. Have a great day.
- Sep 30, 20263.1x their median
Good evening. Hundreds of millions of people are going to wish they had considered and studied bitcoin instead of simply dismissing it. Have a great night.
- Sep 23, 20263.1x their median
Good morning. If you are selling hard assets like gold and bitcoin as yields rise and bond auctions become disorderly, you are not paying attention to the underlying problem and inevitable currency debasement coming. Have a great day.
- Sep 4, 20263.0x their median
Good morning. If you are selling gold, silver and Bitcoin because of this morning's jobs numbers, then you do not understand the difference between short-term inflation worries and long-term debasement reality. Have a great day.
- Sep 1, 20262.7x their median
Good morning. If the Fed *raises* rates then gov't interest expense rises, causing larger deficits and the US Treasury needing to issue more debt, causing long term rates to go *higher*. If the Fed *lowers* rates, then fears of persistent inflation cause bond investors to demand more premium for lending money, and this also causes long-term rates to go *higher*. In short, good luck Kevin. Good luck Scott. And have a great day.
- Aug 19, 20262.6x their median
With all due respect, Bloomberg. No. Bitcoin is surging because the Treasury has signaled it will do whatever it takes to keep long end yields from flying up, up and away. https://t.co/qVRwcwdDT5
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 1.1K interactions against 173K followers, an engagement rate of 0.614%. Measured over 25 original posts, its engagement rate beats 84% of 19,933 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 31K times each, and 3.48% of those impressions turn into an interaction. That is about 17.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 77% of days. Most posts go out around 14:00 UTC, and Wednesday is the busiest day of the week. Of the 25 posts sampled, 48% carry an image or video. The account's strongest tracked post pulled 11K interactions, about 11x its own typical post.
- What is James Lavish's engagement rate on X?
- James Lavish (@jameslavish) has an engagement rate of 0.614%, based on the median interactions across 25 original posts from the last 30 days against 173,274 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.614%, James Lavish sits above the 50th percentile of the 201,130 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 @jameslavish have real engagement?
- Its engagement rate beats 84% of the tracked X accounts closest to it in follower count (19,933 accounts), which puts it in the top quarter for its size 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 @jameslavish post?
- Most posts go out around 14:00 UTC, and Wednesday is its busiest day, at roughly 1.63 posts per day across the measured window.