Jason Chaffetz engagement report
@jasoninthehouse - 560K followers on X
Measured over 5 original posts from a 30-day window, last computed on October 12, 2026.
Engagement
Early reading. We have captured 5 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.
A typical post picks up 916 interactions against 560K followers, an engagement rate of 0.164%. Posts are seen about 89K times each, and 1.03% of those impressions turn into an interaction. That is about 15.9% 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 40% of days saw any activity at all. Most posts go out around 00:00 UTC, and Sunday is the busiest day of the week. Of the 5 posts sampled, 80% carry an image or video and 20% link out. The account's strongest tracked post pulled 22K interactions, about 24x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
Measured over 5 original posts from a 30-day window, last computed on October 12, 2026.
Where this sits in the catalog
At 0.164%, Jason Chaffetz sits above the 50th percentile of the 205,676 accounts in this comparison. That places it in the above the median band, which runs 0.143% to 0.679%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.679% |
| 90th percentile | 2.56% |
| 99th percentile | 82.4% |
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 00:00 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 80% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 20% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 80% 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.
- 20% 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 153 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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
- Oct 10, 202624x their median
My favorite thing about Trump 2.0. The random people who just pop in frame for no reason. Iron Mike Tyson leaning in to catch a foreign policy question is just peak Trump. https://t.co/XIJVLsyPdy
- Sep 11, 202624x their median
Speaks for all of us https://t.co/rsIXiKd3Qu
- Aug 26, 202623x 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
- Aug 21, 202616x 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.
- Aug 23, 202610x 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
- Aug 27, 20264.5x their median
Hey @Delta, I’m on another one of your flights and your WiFi is atrocious. It is time to move to @Starlink or you are going to lose this Diamond medallion million miler. There is nothing more frustrating than attempting to get some work done flying with you.
- Aug 23, 20263.6x 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.
- Sep 2, 20263.0x their median
Delta to match $1,000 in federal @TrumpAccounts seed money https://t.co/kACZKvqwet
- Sep 15, 20262.0x their median
FLASHBACK: "AI...first of all it's two letters. It means artificial intelligence." Conservatives are blasting resurfaced video of Kamala Harris from 2023 attempting to explain AI, saying she oversimplified the rapidly advancing technology. "AI is kind of a fancy thing." https://t.co/yzd4LwNw27
- Aug 20, 20261.6x their median
This is how much a laptop cost in 1989 https://t.co/iaimPM8zKJ
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 916 interactions against 560K followers, an engagement rate of 0.164%. Posts are seen about 89K times each, and 1.03% of those impressions turn into an interaction. That is about 15.9% 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 40% of days saw any activity at all. Most posts go out around 00:00 UTC, and Sunday is the busiest day of the week. Of the 5 posts sampled, 80% carry an image or video and 20% link out. The account's strongest tracked post pulled 22K interactions, about 24x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.
- What is Jason Chaffetz's engagement rate on X?
- Jason Chaffetz (@jasoninthehouse) has an engagement rate of 0.164%, based on the median interactions across 5 original posts from the last 30 days against 559,810 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.164%, Jason Chaffetz sits above the 50th percentile of the 205,676 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?
- There is not yet enough sample to rank this account against others of its size.
- When does @jasoninthehouse post?
- Most posts go out around 00:00 UTC, and Sunday is its busiest day, at roughly 1.63 posts per day across the measured window.