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Jason Chaffetz engagement report

@jasoninthehouse - 562K followers on X

Measured over 15 original posts from a 30-day window, last computed on August 27, 2026.

Engagement

Middle of its size range
Per follower
0.01%
of 562K followers
Per impression
0.597%
9.0K views on a typical post
Reach
1.61%
of its followers see a post
Typical post
54
interactions (median)
Saved
0.011%
1 bookmarks on a typical post
Posting rate
1.6/day
active 23% of days
Peak time
06:00 UTC
Sunday

A typical post picks up 54 interactions against 562K followers, an engagement rate of 0.01%. Measured over 15 original posts, its engagement rate beats 33% of 3,899 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 9.0K times each, and 0.597% of those impressions turn into an interaction. That is about 1.61% 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, though only 23% of days saw any activity at all. Most posts go out around 06:00 UTC, and Sunday is the busiest day of the week. Of the 15 posts sampled, 60% carry an image or video and 40% link out. The account's strongest tracked post pulled 14K interactions, about 267x its own typical post.

Measured over 15 original posts from a 30-day window, last computed on August 27, 2026.

Compared with accounts its own size

Jason Chaffetz's engagement rate beats 33% of the tracked X accounts closest to it in follower count (3,899 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 39% 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 0.01%, Jason Chaffetz sits above the 10th percentile of the 37,856 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.081%
p750.439%
p902.10%
p99155.6%
Engagement rate as a share of followers, across the 37,856 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 97,248 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 percentile0.002%
25th percentile0.012%
50th percentile0.081%
75th percentile0.439%
90th percentile2.10%
99th percentile155.6%

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 06:00 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: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 06:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%53K
01:00 UTC-2%53K
02:00 UTC-3%52K
03:00 UTC-4%55K
04:00 UTC-6%44K
05:00 UTC-4%43K
06:00 UTC-4%50K
07:00 UTC-5%54K
08:00 UTC-4%63K
09:00 UTC-3%72K
10:00 UTC-2%75K
11:00 UTC-3%81K
12:00 UTC-2%90K
13:00 UTC-2%98K
14:00 UTC-3%101K
15:00 UTC-2%105K
16:00 UTC-4%102K
17:00 UTC-3%95K
18:00 UTC-1%88K
19:00 UTC-2%83K
20:00 UTC-1%77K
21:00 UTC-1%69K
22:00 UTC-2%60K
23:00 UTC-2%53K
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 5%Busiest day: Sunday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%238K
Monday0%302K
Tuesday-3%302K
Wednesday-1%257K
Thursday-2%250K
Friday-3%259K
Saturday+3%233K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 21, 2026267x their median

    In 1948, a 32-year-old at Bell Labs published a paper nobody fully understood. Engineers found it too mathematical. Mathematicians found it too engineering-focused. One prominent mathematician reviewed it negatively. That paper - "A Mathematical Theory of Communication", became the founding document of the digital age. The man was Claude Shannon. Father of Information Theory. At 21, he wrote the most important master's thesis of the 20th century. Working at MIT on an early mechanical computer, Shannon noticed its relay switches had exactly two states - open or closed. He had just taken a philosophy course introducing Boolean algebra, which also operated on two values: true and false. Nobody had ever connected these two things. His 1937 thesis proved that Boolean algebra and electrical circuits are mathematically identical, and that any logical operation could be built from simple switches. Howard Gardner called it "possibly the most important, and also the most famous, master's thesis of the century." Every digital computer ever built traces back to this insight. At 29, he proved that perfect encryption exists. During WWII, Shannon worked on classified cryptography at Bell Labs. His work contributed to SIGSALY, the secure voice system used for confidential communications between Roosevelt and Churchill. In a classified 1945 memorandum, he mathematically proved the one-time pad provides perfect secrecy, unbreakable not just computationally, but provably, permanently, against an adversary with infinite power. When declassified in 1949, it transformed cryptography from an art into a science. It laid the foundations for DES, AES, and every modern encryption standard. At 32, he defined what information is. His 1948 paper introduced one equation: H = −Σ p(x) log p(x) Shannon entropy. The average uncertainty in a probability distribution. The minimum bits required to encode a message. Three things followed: > He defined the bit - the fundamental unit of all information. His colleague John Tukey coined the name. > He proved the channel capacity theorem, every communication channel has a maximum rate of reliable transmission. You can approach it. You can never exceed it. > He unified telegraph, telephone, and radio into a single mathematical framework for the first time. Robert Lucky of Bell Labs called it the greatest work "in the annals of technological thought." Where his equation lives in AI today: Cross-entropy loss - the function training every classifier and language model, is derived directly from H. Decision tree splits use information gain, which is H applied to data. Perplexity, the standard LLM evaluation metric, is an exponentiation of cross-entropy. Every time a neural network trains, Shannon's formula runs inside it. He also built the first AI learning device. In 1950, Shannon built Theseus, a mechanical mouse that navigated a maze through trial and error, learned the correct path, and repeated it perfectly. Mazin Gilbert of Bell Labs said: "Theseus inspired the whole field of AI." That same year he published the first paper on programming a computer to play chess. He co-organized the 1956 Dartmouth Workshop, the founding event of AI as a field. The man: He rode a unicycle through Bell Labs hallways while juggling. He built a flame-throwing trumpet, a rocket-powered Frisbee, and Styrofoam shoes to walk on the lake behind his house. He called his home Entropy House. When asked what motivated him: "I was motivated by curiosity. Never by the desire for financial gain. I just wondered how things were put together." In 1985, he appeared unexpectedly at a conference in Brighton. The crowd mobbed him for autographs. Persuaded to speak at the banquet, he talked briefly, then pulled three balls from his pockets and juggled instead. One engineer said: "It was as if Newton had showed up at a physics conference." He died in 2001 after a decade with Alzheimer's, the cruel irony of information slowly leaving the mind of the man who defined what information was. Claude, the AI model, is named after Claude Shannon, the mathematician who laid the foundation for the digital world we rely on today.

    11K2.4K396257995K viewsView on X
  • Aug 23, 2026172x their median

    .@DrOzCMS: The Medicare Trust Fund will last twice as long if we just take the fraud out of Medicare — forget everything else. Just this past year, we cut $42 billion of fraud from Medicare by never letting the money out the door. https://t.co/wNRxcEZu2d

    7.4K1.6K23945166K viewsView on X
  • Aug 26, 2026102x their median

    President Trump is delivering the results he promised. 🇺🇸 From securing a landmark election integrity ruling & launching the largest visa crackdown in history to cutting illegals off taxpayer benefits, the Trump Admin posted another week putting the American people first. https://t.co/g9jTMlYYwg

    3.7K1.1K56666125K viewsView on X
  • Aug 23, 202662x their median

    Government has no money. We don't take anything called 'government money' in. We only take money from ordinary men and women in to be spent by government. If we take in more to spend, it means they don't have it to spend, so the amount of demand is the same in the economy. But let's just try to see for a moment where jobs come from: Jobs come from business. Business comes from pleasing the customer. This is why we have put so much emphasis on small business. In the end, we rely on the wealth-creating sector, the private sector, to create the jobs and create the business from which we pay the tax to keep the public services going.

    2.5K680598296K viewsView on X
  • Aug 20, 202626x their median

    This is how much a laptop cost in 1989 https://t.co/iaimPM8zKJ

    1.2K1314814167K viewsView on X
  • Aug 26, 202624x their median

    Three Secret Service officials, including the agency's director of communications, have been placed on leave as an investigation into potential misconduct unfolds, a source says. The nature of the alleged misconduct was not immediately clear. https://t.co/7jxjXx3iZR

    8793257431578K viewsView on X
  • Aug 25, 20262.9x their median

    Dolly Parton has died, family says. Truly sorry to hear this. She was an American ICON. God bless. Pure American. 🇺🇸🇺🇸🇺🇸 https://t.co/dSEudYezp0 https://t.co/bM7BkQ445R

    1407815.4K viewsView on X
  • Aug 24, 2026

    Selling early access to a politician’s posts is wrong. Really wrong.

    4625110K viewsView on X
  • Aug 23, 2026

    Except in Arizona where Gov Hobbs won’t debate Andy Biggs. Every time she speaks she loses votes. https://t.co/lI6rQRZdVm

    414607.1K viewsView on X
  • Aug 23, 2026

    🚨 LESS THAN ONE HOUR TO GO! 🚨 We’re almost LIVE on Sunday Morning Futures! 🇺🇸🔥 🎙️ @JasonInTheHouse guest hosts for Maria Bartiromo with a can’t-miss lineup: 🗳️ @SenJohnBarrasso 🏛️ @RepAshleyHinson 🇺🇸 @RepLuna 🔥 @RepBrandonGill 🌎 @brentdsadler The midterm fight, the rise of Democratic Socialism & the biggest issues shaping Washington — all coming up! 👀 ⏰ 10AM ET 📺 @FoxNews — TUNE IN! 🔥

    1162919.0K 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 54 interactions against 562K followers, an engagement rate of 0.01%. Measured over 15 original posts, its engagement rate beats 33% of 3,899 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 9.0K times each, and 0.597% of those impressions turn into an interaction. That is about 1.61% 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, though only 23% of days saw any activity at all. Most posts go out around 06:00 UTC, and Sunday is the busiest day of the week. Of the 15 posts sampled, 60% carry an image or video and 40% link out. The account's strongest tracked post pulled 14K interactions, about 267x its own typical post.

What is Jason Chaffetz's engagement rate on X?
Jason Chaffetz (@jasoninthehouse) has an engagement rate of 0.01%, based on the median interactions across 15 original posts from the last 30 days against 561,864 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.01%, Jason Chaffetz sits above the 10th percentile of the 37,856 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 @jasoninthehouse have real engagement?
Its engagement rate beats 33% of the tracked X accounts closest to it in follower count (3,899 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 @jasoninthehouse post?
Most posts go out around 06:00 UTC, and Sunday is its busiest day, at roughly 1.6 posts per day across the measured window.

Keep going

Jason Chaffetz (@jasoninthehouse) Engagement Rate - 0.01% | PlayerSells