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πŒπ‘. π–π‡πˆπ“π„ β„’ engagement report

@MrWhiteMAGA - 160K followers on X

Measured over 8 original posts from a 30-day window, last computed on September 22, 2026.

Engagement

Top quarter for its size
Per follower
0.58%
of 160K followers
Per impression
4.13%
22K views on a typical post
Reach
14.1%
of its followers see a post
Typical post
925
interactions (median)
Saved
0.174%
39 bookmarks on a typical post
Posting rate
2.3/day
active 13% of days
Peak time
14:00 UTC
Sunday

A typical post picks up 925 interactions against 160K followers, an engagement rate of 0.58%. Measured over 8 original posts, its engagement rate beats 84% of 20,444 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 22K times each, and 4.13% of those impressions turn into an interaction. That is about 14.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 14:00 UTC, and Sunday is the busiest day of the week. Of the 8 posts sampled, 88% carry an image or video and 25% link out. The account's strongest tracked post pulled 43K interactions, about 47x its own typical post.

Measured over 8 original posts from a 30-day window, last computed on September 22, 2026.

Compared with accounts its own size

πŒπ‘. π–π‡πˆπ“π„ β„’'s engagement rate beats 84% of the tracked X accounts closest to it in follower count (20,444 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 82% 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 0.58%, πŒπ‘. π–π‡πˆπ“π„ β„’ sits above the 50th percentile of the 204,880 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 204,880 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,891 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 Sunday 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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
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 video88% of posts+111%+108% to +115%34K
Outbound link25% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 88% 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.
  • 25% 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 880 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 21, 202647x their median

    Just found out that Lindsay Clancy woke up she was informed that her baby Callan was alive, but at no point she made any requests to see him, or if there was any way to see her son. But she DID ask whether her body was broken, whether her legs were straight, where her family was, and whether she could have visitors (and most important, whether she had an attorney). Totally 'great mother' behavior, sure

    39K3.9K4881102.2M viewsView on X
  • Sep 19, 202641x their median

    ICE deports a woman in Laredo, Texas, who’s been living illegally in the US for 39 years. Did you proudly vote for this ? https://t.co/UHNZqiMy2F

    25K2.3K9.8K654833K viewsView on X
  • Jul 22, 20268.2x their median

    I woke up….why don’t you… https://t.co/Du10wjVRT6

    6.0K1.3K19698464K viewsView on X
  • Sep 19, 20263.7x their median

    TRUMP'S Voter Fraud Probe Operation across the country is underway, with over a 1,000 new cases opened and 300,000 being looked into, especially at the Southern border where all it took was a new president to stop illegals from not just voting, but from entering our country illegally. Every illegal vote disenfranchises an American citizen's vote. This ends NOW! DHS Sec. Markwayne Mullin HAMMERS how the mainstream media lied about NON-CITIZENS voting in our elections after hundreds of new arrests, with over a thousand new cases being investigated since the operation started. They lied about citizenship, registered, and some actually cast ballots. One was already under a deportation order, and many are violent offenders. Elections belong to American citizens. That's the law, and the crackdown is no longer theoretical, it's a plan in action.

    2.5K882782534K viewsView on X
  • Sep 19, 2026

    This would be my DREAM TEAM for 2028. πŸ‡ΊπŸ‡Έ Marco Rubio and Brandon Gill. If only Brandon Gill were a little older. πŸ˜‚ He’ll be 34 on Election Day 2028, so he won’t meet the constitutional minimum age of 35 in time. Give him another four years, though… πŸ‘€πŸ‡ΊπŸ‡Έ 2028 is going to be interesting.

    6101851251120K viewsView on X
  • Sep 21, 2026

    LET'S GET THIS STRAIGHT - PRESIDENT TRUMP DIDN'T DO ANY OF THIS AND IS WHY YOUR GAS PRICES ARE HIGH. If you don't want the gas prices to go out of sight, VOTE ALL RED in every race, so President Trump will be able to do the things we need him to do to bring down the price of gas. Make no mistake about it: socialism/communism will raise the prices of gas and everything else.

    453413401325K viewsView on X
  • Sep 20, 2026

    🚨Xavier Becerra MUST be held accountable! for his involvement in child trafficking! A new Becerra whistleblower says β€œwe were accomplices in a human trafficking operation.” Migrant children β€œcried and refused to get in the vehicle” after Becerra sent them to fake relatives.😰 β€œHHS was giving us paperwork that was not frickin’ verified” says the whistleblower. Steve Hilton is exactly right: β€œXavier Becerra turned HHS into the largest child trafficking operation in history. He CANNOT get away with this.”πŸ”₯ @SteveHiltonx https://t.co/oyKpMdHl9O

    79851127.4K viewsView on X
  • Sep 20, 2026

    There is so much said just in a couple pages of this article that strengthen my belief that Lindsay Clancy was completely full of shit. Can you guys point out all of the key points and inconsistencies in this? I’m curious if we notice the same points or not. πŸ“° The New Yorker October 14, 2024. ➑️ β€œHer parents drove up from Connecticut for days at a time to help with child care while Pat worked from a home office. In the afternoons, when Lindsay’s Ativan wore off, Pat would find her rocking back and forth on the living-room couch, her heart racing. She’d say that she felt terrified, but Pat couldn’t understand why. After Lindsay went a second consecutive night with no sleep, she drove herself to the emergency room. She returned home a few hours later and told Pat, β€œThey gave me some Ambien and said it should be O.K.” The Ambien didn’t help, though, so Lindsay contacted a new medical office and began seeing Rebecca Jollotta, a perinatal psychiatric nurse practitioner. As with Tufts, the appointments were virtual, but after a few sessions Pat arranged an in-person visit. According to him, Jollotta was quick to prescribe more medication, including Seroquel, an antipsychotic that is used off label, in low doses, as a sleep aid.” Lindsay’s defense team has named β€œhorrific overmedication” as the chief cause of her mental decline, a line of reasoning that may provide some solace to her loved ones. It can be comforting, as Feingold told me, to β€œblame an external source” for the inner changes wrought by mental illnesses, but the link between psychotropic drugs and violent behavior is poorly understood. At Lindsay’s arraignment, Kevin Reddington, her attorney, pointed out that some of the antidepressants she took have so-called β€œblack box” labels listing suicidal ideation as a rare adverse effect. Those warnings, however, are primarily for adolescents. And while it’s true that Lindsay was prescribed an unusually extensive list of drugsβ€”more than a dozen in the course of four monthsβ€”Reddington has drawn a dubious connection between those medications and β€œworkplace violence, homicides, family homicides,” as he put it in court. According to a medication diary that Lindsay kept, which was seized as part of the investigation, she was taking just three drugsβ€”one benzodiazepine and two antidepressantsβ€”in the days leading up to the killings.” ⬅️

    1062538415K viewsView on X
  • Sep 20, 2026

    🚨 WHO IS BUILDING POLITICAL INFLUENCE IN TEXAS AND OHIO? πŸ“… Sunday, September 20, 2026 Β· 10:00 a.m. ET πŸ”” TURN ON NOTIFICATIONS πŸ“£ JOIN OUR ACTION PAGE https://t.co/frf7gxI2oK Two states. Two battlegrounds. Outside networks, endorsements, and campaign money all on the table. β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€” πŸ‡Έ TEXAS KEN PAXTON vs. JAMES TALARICO Political involvement here runs from the U.S. Senate down through congressional, state, and local offices. πŸ”΅ James Talarico β€” U.S. Senate πŸ’° FEC filings through June 30: Talarico’s campaign reported approximately $68.56 MILLION in total receipts, including: β€’ $65.59 million β€” individual contributions β€’ $348,408 β€” other political committees β€’ $2.59 million β€” transfers from other authorized committees Thats not a normal Texas Senate war chest. Thats a national machine. CAIR Action has also issued 2026 Texas election recommendations and voter material covering congressional, state, and local races. Texas names in that activity include: β€’ Staci Childs β€” Texas House District 131 β€’ Montserrat Garibay β€” Texas House District 49 β€’ Allison Bush β€” State Board of Education District 5 Tiffany Perkinz β€” State Board of Education District 7 Dexter McCoy β€” Fort Bend County Judge β€’ Letitia Plummer β€” Harris County Judge β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€” πŸ‡ΊπŸ‡Έ OHIO JON HUSTED vs. SHERROD BROWN Ohio is under the same microscope Senate special election, competitive House seats, and major outside spending already in motion. Our Ohio review keeps the categories separate: ENDORSEMENTS CAMPAIGN CONTRIBUTIONS β‰  OUTSIDE SPENDING β‰  ORGANIZATIONAL AFFILIATIONS Each claim needs its own documented record. No shortcuts. No conflating. β€”β€”β€”β€”β€”β€”β€”β€”β€”β€” Each claim needs its own documented record. No shortcuts. No conflating. β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€”β€” ➑️ NEXT: FOLLOW THE MONEY β€” TEXAS + OHIO The next post digs into specific PACs, donors, outside spending, and documented financial relationships. Know who’s on the ballot. Know who’s funding the fight. Project 8 β€’ Dirty Money Watch β€’ Sunday Money Series πŸ”΄ REPUBLICANS MUST VOTE

    553011516K 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.

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Reading these numbers

A typical post picks up 925 interactions against 160K followers, an engagement rate of 0.58%. Measured over 8 original posts, its engagement rate beats 84% of 20,444 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 22K times each, and 4.13% of those impressions turn into an interaction. That is about 14.0% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, though only 13% of days saw any activity at all. Most posts go out around 14:00 UTC, and Sunday is the busiest day of the week. Of the 8 posts sampled, 88% carry an image or video and 25% link out. The account's strongest tracked post pulled 43K interactions, about 47x its own typical post.

What is πŒπ‘. π–π‡πˆπ“π„ β„’'s engagement rate on X?
πŒπ‘. π–π‡πˆπ“π„ β„’ (@MrWhiteMAGA) has an engagement rate of 0.58%, based on the median interactions across 8 original posts from the last 30 days against 159,608 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.58%, πŒπ‘. π–π‡πˆπ“π„ β„’ sits above the 50th percentile of the 204,880 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 @MrWhiteMAGA have real engagement?
Its engagement rate beats 84% of the tracked X accounts closest to it in follower count (20,444 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 @MrWhiteMAGA post?
Most posts go out around 14:00 UTC, and Sunday is its busiest day, at roughly 2.3 posts per day across the measured window.

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