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Daniel Klatt engagement report

@DanielKlatt - 180K followers on X

Measured over 40 original posts from a 30-day window, last computed on October 16, 2026.

Engagement

Bottom quarter for its size
Per follower
0.006%
of 180K followers
Per impression
1.75%
572 views on a typical post
Reach
0.32%
of its followers see a post
Typical post
10
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.37/day
active 87% of days
Peak time
15:00 UTC
Tuesday

A typical post picks up 10 interactions against 180K followers, an engagement rate of 0.006%. Measured over 40 original posts, its engagement rate beats 18% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 572 times each, and 1.75% of those impressions turn into an interaction. That is about 0.318% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 40 posts sampled, 53% carry an image or video, 5% are part of a thread and 45% link out. The account's strongest tracked post pulled 26K interactions, about 2553x its own typical post.

Measured over 40 original posts from a 30-day window, last computed on October 16, 2026. Recurring tag: #brainwash.

Compared with accounts its own size

Daniel Klatt's engagement rate beats 18% of the tracked X accounts closest to it in follower count (21,185 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 58% 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 0.006%, Daniel Klatt sits above the 10th percentile of the 213,004 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.147%
p750.698%
p902.61%
p9982.8%
Engagement rate as a share of followers, across the 213,004 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,390 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 percentile0.025%
50th percentile0.147%
75th percentile0.698%
90th percentile2.61%
99th percentile82.8%

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 Tuesday 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video53% of posts+111%+108% to +115%34K
Outbound link45% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 53% 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.
  • 45% 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 1218 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

  • Aug 30, 20262553x their median

    For sure. https://t.co/d3pkPcktrM

    24K1.6K7241152K viewsView on X
  • Sep 15, 20262252x their median

    Do you believe this to be true? I am genuinely starting to wonder about the reality of this! 🚨IT’S THIS BAD: Stephen Miller says the scale of welfare fraud is SO MASSIVE that eliminating it alone could balance the ENTIRE federal budget 💥MILLER: "The amount that has been fleeced from us is in the HUNDREDS OF BILLIONS of dollars." "We could balance the federal budget if the only dollars that went out of the treasury went to individuals who were properly, lawfully, correctly eligible to receive them." This should infuriate EVERY taxpayer. The amount of FRAUD / THEFT from our Federal Government is JAW DROPPING, the entire Government needs to audited from the TOP DOWN. This sounds like a VERY GOOD OPPORTUNITY for a new AI SYSTEM to dig into. 🇺🇸 Now you know why so many Politicians on the left are trying to stop AI, if it is used properly there will BE NO SECRETS.

    14K5.9K1.9K377155K viewsView on X
  • Aug 26, 20262220x their median

    A police chief in Oshkosh, Wisconsin caught Flock lying to his city council, and killed the $8 billion surveillance company's contract less than a day after the council had approved it. Here's how it happened. The night before, Oshkosh's council was set to renew its deal with Flock Safety, the license plate camera company backed by a16z and Tiger Global. One council member asked the Flock rep a plain yes-or-no question. Does this system build a heat map of everywhere a specific car travels over time? Flock's rep said no. The council believed him and voted 5 to 2 to renew. By the next morning, Chief Dean Smith's own officers had told him that answer was false. So he pulled up the system himself. He watched it generate the exact heat map Flock had just sworn it couldn't make. Then he walked into an emergency meeting and said it out loud: "Because of this misrepresentation, I can no longer recommend Flock." Understand what a heat map is, because it's the whole trick. Flock sells cities a tidy little story. A car drives by, we snap a photo, we read the plate, that's all it is. But the same system can quietly average out where your car goes day after day and paint your routine onto a map. Not one snapshot at one corner. Your pattern. Where you sleep, where you work, where you keep going back and how often. A Flock employee later admitted on the record that the software does exactly that. So the pitch and the product are two different things. The company wins the contract selling a plate reader, then sits on a moving map of your life. The only reason Oshkosh caught it was one skeptical question and a police chief who bothered to check the answer. The vote to rescind was 7 to 0. Unanimous. Flock called the whole thing "one small misconception" from a long meeting and said it was disappointed nobody let it explain. A surveillance company worth eight billion dollars got caught lying about whether it maps where you drive. Its defense was that the lie was small. Oshkosh got one honest answer by accident. Congress can make it the rule. https://t.co/DHLVhtVErs 🎩The Other 98%

    15K6.3K309460237K viewsView on X
  • Sep 28, 20261580x their median

    https://t.co/tHJGGk8EU7

    13K2.6K12893224K viewsView on X
  • Sep 14, 20261557x their median

    Which was first Intelligence agency ? ... MI6. 1909 Who created the CIA ? ... MI6. 1947 Who created Israel ? ... City of London Bankers (Rothschilds) 1948 Who created Mossad ? ... MI6. 1949 Who met at Jekyll Island ... City of London Bankers 1910 Who ended the Hamiltonian Financial System (1788) in the USA ? ...City of London Bankers & Woodrow Wilson 1913. Who created the Federal Reserve ? ... City of London Bankers. 1913 Who controls Canada ? ... City of London. Carney (City of London Banker). Who controlled Venezuela and Cuba? ...City of London. Who removed the Shar? ... City of London. 1979 Who created Iran as it is now ? City of London 1979 Who was behind the scenes and funneled weapons to Iran through Israel ? City of London. 1986 (Iran Contra) Who controlled all the maritime traffic through the Strait of Hormuz for the last 50 years (Trillions $) ? ... Lloyds of London Market place. 1979- 2026. (City of London). Who controlled the price of Oil for last near 50 years (Trillions $) ? ... Brent Oil Futures (City of London) Who helped create OPEC via BP in Iran (1909) and Venezuelan Oil Minister Juan Pablo Perez Alfonzo ? (City of London) 1960 Who controlled the oil revenue from OPEC from 1970 onwards (Trillions $) ? (The City of London Banking Cartel) The Banking cartel consists of 13 prominent families, and yes the Rothschilds are among them. Epstein and Israel are just one small part ...of a massive world wide, money, weapons, drugs and human trafficking network. (Trillions $) This involves Banking Cartels, Intelligence Agencies, Countries, Governments, Criminal Cartels, Gangs.... And it all stems from one or two control centers around the world. The first and foremost of those is the City of London. Then Washington DC and The Vatican City. (There is also a new one popped up in Dubai, same MO) Every US President who has fought against this Evil Empire has been shot, poisoned and assassinated. From Lincoln, to McKinley, to JFK, to Regan, to Trump. And all the others.... 10 approximately total. There have been approximately 10 potential assassination attempts aimed at President Trump. Trump is breaking free of the Globalist Ideology, he is pushing Sovereignty..... He is ENDING the The City of London's domination of the world and the worlds Energy markets. Ending the flow of money.... (Bessant) One step at a time. Venezuela, Iran, Israel, Strait of Hormuz, Middle East, Cuba....Canada, Ukraine. He is connecting with other sovereigntist countries around the globe. Including Russia and China.... and many in South America. All will work together through trade. And will leave the Globalists behind to fester in their evil ways. When the people of those countries wake up and break free... they will be welcomed into the new prosperous world filled with SOVEREIGN NATIONS working together trading together... As individual nations. @CryptoRichYT @ace_afire @PrometheanActn @StevenEKuhn

    10K4.5K533414330K viewsView on X
  • Oct 10, 20261229x their median

    #brainwash https://t.co/tie74zE2vC

    11K1.6K1444974K viewsView on X
  • Sep 29, 20261152x their median

    No words needed 🤬 https://t.co/RjB5yHgyAF

    9.2K2.1K1246799K viewsView on X
  • Oct 15, 20261111x their median

    🔥BREAKING NEWS | MAJOR COURT BREAKTHROUGH!🔥 THE CASE AGAINST BILL GATES - THE COURT HAS BENT THE KNEE ON EXPERT TESTIMONY! Dr Mike Yeadon, Sasha Latypova, Catherine Austin Fitts and Dr Joseph Sansone’s expert evidence WILL BE HEARD! Following two powerful legal challenges by Attorney Peter Stassen, the Dutch Court has reversed its position, allowing 3 HOURS AND 19 MINUTES OF SWORN EXPERT TESTIMONY from the plaintiff’s nominated expert witnesses to be exhibited as evidence ahead of the landmark 22 OCTOBER HEARING in the case against Bill Gates et al! THE NARRATIVE IS ON TRIAL… AND THE WORLD IS WATCHING!

    7.0K3.6K23824194K viewsView on X
  • Jan 6, 20251470x their median

    (1/19) ⚠️🧵 Covid Was a Premeditated Hoax: A Thread With the next fake pandemic looming, let’s revisit how the last one was premeditated. Here’s a chronological breakdown of the most glaring signs of foreknowledge. Even the most informed will find new info here.👇

    6.1K2.4K182179377K viewsView on X
  • Sep 16, 2026703x their median

    If I was hired for a job, showed up the first week, did absolutely zero work, then took a vacation for 38 days, to come back for a day, still completed nothing, only to leave again the next day for weeks while telling my employer I don't plan on doing any work until November....how long do you think I'd be employed there? Not long at all. But those rules do not apply to the group of useless fools that are elected to work for us. Congress is an embarrassment. They stopped working for us a long time ago. Fire them all!

    4.8K2.0K16410532K 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

#brainwash

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 10 interactions against 180K followers, an engagement rate of 0.006%. Measured over 40 original posts, its engagement rate beats 18% of 21,185 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 572 times each, and 1.75% of those impressions turn into an interaction. That is about 0.318% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.4 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 15:00 UTC, and Tuesday is the busiest day of the week. Of the 40 posts sampled, 53% carry an image or video, 5% are part of a thread and 45% link out. The account's strongest tracked post pulled 26K interactions, about 2553x its own typical post.

What is Daniel Klatt's engagement rate on X?
Daniel Klatt (@DanielKlatt) has an engagement rate of 0.006%, based on the median interactions across 40 original posts from the last 30 days against 179,948 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.006%, Daniel Klatt sits above the 10th percentile of the 213,004 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 @DanielKlatt have real engagement?
Its engagement rate beats 18% of the tracked X accounts closest to it in follower count (21,185 accounts), which puts it in the bottom 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 @DanielKlatt post?
Most posts go out around 15:00 UTC, and Tuesday is its busiest day, at roughly 2.37 posts per day across the measured window.

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