Back to @1MarkMoss's profile

Mark Moss engagement report

@1MarkMoss - 184K followers on X

Measured over 19 original posts from a 30-day window, last computed on October 14, 2026.

Engagement

Middle of its size range
Per follower
0.183%
of 184K followers
Per impression
1.85%
18K views on a typical post
Reach
9.89%
of its followers see a post
Typical post
337
interactions (median)
Saved
0.132%
24 bookmarks on a typical post
Posting rate
1.9/day
active 73% of days
Peak time
14:00 UTC
Monday

A typical post picks up 337 interactions against 184K followers, an engagement rate of 0.183%. Measured over 19 original posts, its engagement rate beats 70% 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 1.85% of those impressions turn into an interaction. That is about 9.89% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 19 posts sampled, 84% carry an image or video and 5% are part of a thread. The account's strongest tracked post pulled 92K interactions, about 550x its own typical post.

Measured over 19 original posts from a 30-day window, last computed on October 14, 2026.

Compared with accounts its own size

Mark Moss's engagement rate beats 70% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 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 60% 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 0.183%, Mark Moss sits above the 50th percentile of the 205,475 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.678%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,475 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 percentile0.143%
75th percentile0.678%
90th percentile2.55%
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 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.

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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video84% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 84% 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.
  • 0% 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 800 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

  • Jun 21, 2026550x their median

    7 Latin American elections since USAID was defunded: 🇨🇱 Chile: "far-right" Kast won 🇧🇴 Bolivia: "far-right" Paz won 🇵🇪 Peru: "far-right" Fujimori won 🇪🇨 Ecuador: "far-right" Noboa won 🇭🇳 Honduras: "far-right" Asfura won 🇨🇴 Colombia: "far-right" Espriella won 🇨🇷 Costa Rica: "far-right" Fernandez won

    76K14K1.5K9953.4M viewsView on X
  • Jun 25, 2026443x their median

    💥 https://t.co/XMbfhdxZK0

    59K11K2.6K1.7K4.9M viewsView on X
  • Jul 1, 2026295x their median

    Caleb Hammer schooled a guest on how taxes work in America, explaining that the U.S. has one of the most progressive tax systems. Caleb: Question, what percent does the top 1% pay in federal income taxes? Guest: None. (Brief silence) Caleb: Think it's about 40 to 50 percent? No, I think it's about... I believe it's about 35%. Then the top 10% pays 50 to 60%. Top 50% pays 99%. The bottom 50% of earners only pay 1%. Did you know we actually have the most progressive income tax system in the entire Western world? Did you know that? Guest: I did not. Caleb: Oh, we do. Of course you didn't know that. Why know anything before having an opinion? What the fuck is wrong with you?

    44K3.9K9792591.6M viewsView on X
  • Oct 8, 202686x their median

    The UN has publicly announced that climate change never existed!! Solar power generation was just about vested interests. All man-made!! That's the whole story!!! 🐸 https://t.co/Fnp6bhhbuf

    18K9.6K675949605K viewsView on X
  • Jun 26, 2026148x their median

    Volatility tests every capital structure. Strategy remains focused on Bitcoin, disciplined capital allocation, credit quality, and long-term value creation. We appreciate our investors and will continue to execute with transparency and resolve. $MSTR

    20K1.7K2.4K3832.0M viewsView on X
  • Jun 9, 2026116x their median

    What the West Still Doesn’t Get It: Communism’s True Core: The Systemic Lie Most people in the West think they understand communism. They picture bread lines, gulags, failed five-year plans, and the collapsed Soviet Union. They treat it as a discredited economic theory – an experiment that proved that abolishing private property doesn’t work. Case closed, history moved on. This misunderstanding may be the most dangerous intellectual failure of our time. Communism was never primarily an economic system. Economics was the surface. Beneath it lay something far more insidious: a total, systemic, institutionalized commitment to lying. Not occasional dishonesty. Not spin or propaganda in the ordinary sense. Something deeper – a civilizational war against truth itself, waged through every institution, every classroom, every newspaper, every conversation, until reality itself became negotiable and the lie became the air people breathed. The Words We’re Missing The Polish language, forged by decades of living under this system, produced words for this phenomenon that English simply cannot match: Zakłamanie [zah-kwah-MAH-nyeh] – a state of total, pervasive, socially embedded falsehood, a condition in which an entire society is saturated with lies so thoroughly that truth becomes almost inaccessible. Obłuda [ob-woo-dah] – a deep, performative hypocrisy, the gap between what is proclaimed and what is actually practiced, the mask worn so long it begins to feel like a face. These are not words for individual liars. They describe a system – a mode of social organization built on organized mendacity, where the lie is not the exception but the foundation. English has no single word for either concept, and that linguistic gap is not a coincidence. It reflects a gap in experience. Cultures that did not live under communism lack the vocabulary because they lack the wound. And because they lack the vocabulary, they struggle to recognize the thing when it reappears in new clothing. The Continuity: Communism, Leftism, Wokeism What we call wokeism today, or the broader radical left, is not a new phenomenon. It is the same operating system running on updated hardware. The specifics have changed – instead of the proletariat, we have marginalized identity groups; instead of bourgeois class enemies, we have racists and transphobes; instead of socialist realism, we have DEI statements. But the deep structure is the same. That deep structure is this: truth is not discovered, it is assigned. Reality is not something to be understood honestly but something to be narrated strategically. Language is not a tool for communication but a weapon of power. And anyone who resists the approved narrative is not simply wrong – they are dangerous, and must be silenced, shamed, or destroyed. This is zakłamanie in its modern form. This is obłuda wearing a human rights badge. The same movement that insists men can become women will insist, with equal fervor, that questioning this is an act of violence. The same institutions that claim to champion free inquiry systematically suppress dissent. The same people who invoke tolerance as their highest value are among the most intolerant forces in public life. The contradiction is not accidental – it is structural. It is the system working as designed. Why the West Still Doesn’t Get It People who grew up in freedom tend to assume, at some level, that bad actors know they are lying. That somewhere behind the ideological performance, there is a cynical operator who privately acknowledges reality. This assumption is wrong, and it is why Westerners consistently underestimate what they are dealing with. The totalitarian lie, at its mature stage, is not cynical. It is believed. Or rather, it creates a condition in which the distinction between belief and performance collapses entirely. People learn to say things they do not believe so fluently, and for so long, that they lose access to what they actually think. 1/2

    13K4.8K6737502.4M viewsView on X
  • Jul 17, 202653x their median

    Data centers barely use any water, barely use any land, and they lower electric bills. https://t.co/Ns7yL1Eux3

    15K2.1K4703061.3M viewsView on X
  • Sep 30, 202616x their median

    Henry Ford’s factory workers earned $5/day salary. At the time that salary bought 5oz of gold per month. Henry Ford paid his factory workers~$20k/month salary in today’s dollars. We don’t need a minimum wage, we need hard money. https://t.co/q1WE1XVDoY

    4.6K71110757133K viewsView on X
  • Aug 31, 20268.2x their median

    When someone asks you "Why Bitcoin" will continue to go up and to the right... Just show them this video 👇 https://t.co/JV7fkTUqTD

    2.3K3628829112K viewsView on X
  • Jan 22, 202613x their median

    *OPENAI PLANS TO TAKE A CUT OF CUSTOMERS' AI-AIDED DISCOVERIES - THE INFORMATION send this to zero

    1.9K11814965325K 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 337 interactions against 184K followers, an engagement rate of 0.183%. Measured over 19 original posts, its engagement rate beats 70% 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 1.85% of those impressions turn into an interaction. That is about 9.89% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.9 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 14:00 UTC, and Monday is the busiest day of the week. Of the 19 posts sampled, 84% carry an image or video and 5% are part of a thread. The account's strongest tracked post pulled 92K interactions, about 550x its own typical post.

What is Mark Moss's engagement rate on X?
Mark Moss (@1MarkMoss) has an engagement rate of 0.183%, based on the median interactions across 19 original posts from the last 30 days against 184,472 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.183%, Mark Moss sits above the 50th percentile of the 205,475 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 @1MarkMoss have real engagement?
Its engagement rate beats 70% 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 @1MarkMoss post?
Most posts go out around 14:00 UTC, and Monday is its busiest day, at roughly 1.9 posts per day across the measured window.

Keep going