Back to @jameslavish's profile

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

Top quarter for its size
Per follower
0.614%
of 173K followers
Per impression
3.48%
31K views on a typical post
Reach
17.6%
of its followers see a post
Typical post
1.1K
interactions (median)
Saved
0.043%
13 bookmarks on a typical post
Posting rate
1.63/day
active 77% of days
Peak time
14:00 UTC
Wednesday

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%.

p100.004%
p250.024%
p50 (median)0.141%
p750.671%
p902.53%
p9982.4%
Engagement rate as a share of followers, across the 201,130 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,900 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 percentile0.141%
75th percentile0.671%
90th percentile2.53%
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 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.

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: 14:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 14:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video48% of posts+111%+108% to +115%34K
Outbound link4% 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.

    8.3K2.6K254280694K viewsView on X
  • 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 🧵👇

    3.7K909186179View on X
  • Oct 8, 20264.1x their median

    Billionaires are not the reason you're struggling financially. Taxation is.

    3.4K3624488081K viewsView on X
  • 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.

    3.0K585155124405K viewsView on X
  • 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.

    3.2K2161161654K viewsView on X
  • 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.

    3.0K2301312063K viewsView on X
  • 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.

    2.9K262922796K viewsView on X
  • 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.

    2.8K2231051865K viewsView on X
  • 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.

    2.4K25518737116K viewsView on X
  • 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

    2.4K22410925121K 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.

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 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.

Keep going