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Mark Pellegrino engagement report

@MarkRPellegrino - 452K followers on X

Measured over 35 original posts from a 30-day window, last computed on September 23, 2026.

Engagement

Middle of its size range
Per follower
0.03%
of 452K followers
Per impression
2.80%
4.9K views on a typical post
Reach
1.09%
of its followers see a post
Typical post
138
interactions (median)
Saved
0.041%
2 bookmarks on a typical post
Posting rate
4.43/day
active 67% of days
Peak time
15:00 UTC
Thursday

A typical post picks up 138 interactions against 452K followers, an engagement rate of 0.03%. Measured over 35 original posts, its engagement rate beats 51% 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 4.9K times each, and 2.80% of those impressions turn into an interaction. That is about 1.09% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.4 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. Of the 35 posts sampled, 57% carry an image or video and 40% link out. The account's strongest tracked post pulled 27K interactions, about 194x its own typical post.

Measured over 35 original posts from a 30-day window, last computed on September 23, 2026. Recurring tag: #cameo.

Compared with accounts its own size

Mark Pellegrino's engagement rate beats 51% 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 76% 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 0.03%, Mark Pellegrino sits above the 25th percentile of the 205,582 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.143%.

p100.004%
p250.024%
p50 (median)0.143%
p750.679%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,582 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 percentile0.679%
90th percentile2.56%
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 15:00 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.

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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video57% of posts+111%+108% to +115%34K
Outbound link40% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 57% 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.
  • 40% 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 301 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 5, 2026194x their median

    America, 2026 https://t.co/WUFllLGnv3

    23K3.2K17360519K viewsView on X
  • Sep 17, 202632x their median

    Learn Austrian Economics in one X post: 1. Humans act. Every choice a person makes traces back to an incentive, a trade-off, a cost weighed against a benefit. Remove the incentive and the action stops. Distort the incentive and the action warps. Tax income at 90% and watch producers stop producing. Subsidize failure and watch failure multiply. The behavior follows the reward structure, always. 2. Value exists only in the mind of the person choosing. A glass of water is worth nothing to a drowning man and everything to a man dying of thirst. No central authority can calculate this, because it changes with every individual and every circumstance. Nothing has value in itself, only the degree to which humans choose to value it. Diamonds and even gold only carry value because humans decided they do. 3. Money does not come from a government decree. It emerged spontaneously when traders needed something durable, divisible, and widely accepted to escape the limitations of direct barter. Gold won that competition across centuries and across dozens of independent civilizations because the market, not a ministry, chose it. Fiat currency is the state hijacking that evolved institution and replacing it with paper backed by nothing but a legal threat. Every central bank on earth operates on this model right now. 4. Wealth does not fall from the sky. A farmer who eats his entire harvest produces nothing next season. The farmer who saves seed, plants it, and specializes in what he grows best accumulates a surplus. That surplus is capital. Capital funds everything that comes after. Consumption without prior production is just burning down the furniture for warmth. Every welfare state eventually reaches this point. 5. Strip private property rights and production collapses. A farmer will work his own land until midnight. That same farmer, working collective land, stops at noon. The Soviet Union ran this experiment across seventy years and killed tens of millions, proving the point. When you cannot own the outcome, you do not produce the outcome. 6. Voluntary trade generates wealth from nothing but mutual preference. When you pay twelve dollars for a meal, you value the meal above twelve dollars; the restaurant values twelve dollars above the meal. Both parties walk away wealthier in real terms. No politician, no regulator, no bureaucrat added anything. Protectionism destroys this. The 2018 US steel tariffs raised steel prices for American manufacturers, killed more jobs in steel-consuming industries than existed in steel production itself, and transferred wealth from productive firms to a protected few. 7. Ludwig von Mises identified inflation as a tax. Every dollar the Federal Reserve creates without corresponding production dilutes every dollar you already hold. The new money flows first to the government and its contractors, who spend it at current prices. By the time it reaches you, prices have already risen. The US M2 money supply grew from roughly 15 trillion dollars in January 2020 to over 21 trillion by early 2022. Consumer prices followed. Your savings took the loss. 8. Prices carry information. A price spike tells producers to produce more and tells consumers to use less. It coordinates millions of strangers without a single central command. Interfere with that signal and the coordination breaks. Rent control in New York City is the cleanest example. Cap rents below market and landlords stop maintaining buildings, stop building new ones, and convert units to other uses. The people rent control was supposed to help pay the price through collapsing supply. 9. Interest rates are the price of capital over time. When the Federal Reserve pushed rates to near zero between 2008 and 2022, it told every investor that capital was nearly free. Businesses built projects that only made sense at zero percent. When rates normalized, the projects failed. The 2022 collapse of the US tech sector and the crypto market were not random events. They were the correction of a decade of artificially cheap capital. The business cycle is not a mystery of capitalism. Central banks manufacture it. 10. Bureaucrats face no profit and loss. A businessman who misallocates capital goes bankrupt. A bureaucrat who misallocates capital writes a report requesting more funding. The feedback loop that disciplines markets simply does not exist inside a government agency. The US Department of Education has spent over a trillion dollars since 1980. Literacy rates have not improved. No one at the department has been bankrupted by this outcome. 11. Every producer inside a local market holds knowledge that no bureaucrat in a capital city can replicate. A wheat farmer in Kansas tracks soil moisture, futures prices, local equipment costs, his specific buyer relationships, and a hundred other variables simultaneously. That knowledge lives in the price he sets. Friedrich Hayek called this tacit knowledge in 1945. The Soviet central planners ignored him and spent fifty years proving him correct, producing chronic shortages of goods that private markets coordinate effortlessly. No model, no algorithm, and no committee can compress what millions of independent actors know into a single plan. 12. Every government intervention produces effects you see and effects you don't. You see the road the state builds. You don't see the factory the tax dollars never funded, the job that never existed, the innovation that never happened because capital was extracted at gunpoint and redirected by bureaucrats with no skin in the game. Take the 2009 Cash for Clunkers program. Congress destroyed 690,000 working cars, handed dealers a short-term spike, and you saw the sales numbers. The used car market was stripped of affordable inventory, pricing working-class buyers out for years afterward. 13. Prices, supply chains, and language itself coordinate millions of strangers without any central planner issuing a single command. That coordination is spontaneous order: complex, functional patterns that emerge from individuals pursuing their own goals under rules they did not collectively design. No committee holds the dispersed local knowledge required to replicate what voluntary exchange produces every second. Watch how English evolved. No king designed its grammar. Millions of speakers across centuries adopted words and structures that worked, dropped ones that didn't, and produced a language richer than any bureaucrat could have engineered. Central planners who believe they can replicate that process with price controls or production quotas destroy the feedback mechanism that generates the order in the first place. Thanks for reading this long post! What would you add to this list?

    2.9K1.1K180176140K viewsView on X
  • Aug 23, 202627x their median

    post a character you think about way too much

    1.7K913271.6K1.2M viewsView on X
  • Sep 21, 202624x their median

    When the flag in the middle is secretly plotting with the flag on the right to throw the flag on the left off the balcony... https://t.co/fmaNiFg5jz

    2.8K412541998K viewsView on X
  • Dec 13, 20259.6x their median

    Should I get this as a tattoo? https://t.co/eHvOpi52Sv

    1.1K341415111K viewsView on X
  • Aug 27, 20269.3x their median

    I misses you. https://t.co/fOK1GPCXGw

    1.2K3837311K viewsView on X
  • Sep 6, 20268.4x their median

    Socialism isn't wanting free stuff. Socialism is getting our stuff.

    96612064715K viewsView on X
  • Sep 5, 20267.4x their median

    The reason the libertarian right never comes up with any solutions is because they treat holding power as a sin in and of itself. They think not holding power is a virtue. They’d rather be ruled by evil leftists and continue to yell “1776!” at people than actually fix problems.

    678582513274K viewsView on X
  • Sep 21, 20267.3x their median

    One year ago today I lost the love of my life. I love you my beautiful, gentle Frankie. You are indelibly marked upon my heart… I will miss you for always and can only hope that one day I will see you again. The world was always right when you were in it. ❤️🪽♾️ https://t.co/HuZMLPmbUL

    9093062312K viewsView on X
  • Sep 21, 20265.0x their median

    "But Friedman was friends with Pinochet!" Well... no. Hear Friedman explain the whole controversy in his own words, and stop falling for dumb takes about it. https://t.co/lwbCgxkdu2

    593799623K 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.

Recurring topics

#cameo

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 138 interactions against 452K followers, an engagement rate of 0.03%. Measured over 35 original posts, its engagement rate beats 51% 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 4.9K times each, and 2.80% of those impressions turn into an interaction. That is about 1.09% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.4 posts a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 15:00 UTC, and Thursday is the busiest day of the week. Of the 35 posts sampled, 57% carry an image or video and 40% link out. The account's strongest tracked post pulled 27K interactions, about 194x its own typical post.

What is Mark Pellegrino's engagement rate on X?
Mark Pellegrino (@MarkRPellegrino) has an engagement rate of 0.03%, based on the median interactions across 35 original posts from the last 30 days against 452,318 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.03%, Mark Pellegrino sits above the 25th percentile of the 205,582 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 @MarkRPellegrino have real engagement?
Its engagement rate beats 51% 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 @MarkRPellegrino post?
Most posts go out around 15:00 UTC, and Thursday is its busiest day, at roughly 4.43 posts per day across the measured window.

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