Joe Kernen engagement report
@JoeSquawk - 385K followers on X
Measured over 6 original posts from a 30-day window, last computed on October 4, 2026.
Engagement
Early reading. We have captured 6 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 1.3K interactions against 385K followers, an engagement rate of 0.338%. Posts are seen about 38K times each, and 3.28% of those impressions turn into an interaction. That is about 9.99% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 12:00 UTC, and Sunday is the busiest day of the week. Of the 6 posts sampled, 100% carry an image or video and 17% link out. The account's strongest tracked post pulled 71K interactions, about 56x its own typical post. Recurring topics include #telluridefilmfestival, #telluridepatronbrunch. Only 6 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 6 original posts from a 30-day window, last computed on October 4, 2026. Recurring tags: #telluridefilmfestival, #telluridepatronbrunch.
Where this sits in the catalog
At 0.338%, Joe Kernen 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%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.678% |
| 90th percentile | 2.55% |
| 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 12:00 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 | 100% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 17% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 100% 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.
- 17% 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 137 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
- May 28, 202656x their median
The E. Jean Carroll case against President Trump is one of the strangest civil cases in American history. The foundational problem is this: Carroll could not identify when the alleged incident occurred — not even the year with any precision. That should have killed the case as dead as a skunk on the road right there. Without a temporal anchor, no defendant — regardless of guilt or innocence — can mount an alibi defense. Trump, who has maintained detailed calendars and staff records for decades, was denied the most basic tool of self-defense: the ability to establish where he was. That is not a technicality. It is a due process violation at the constitutional level. Then Carroll produced the one piece of physical evidence she claimed corroborated her account — the dress she wore during the alleged incident. It was subsequently established that the dress was designed after the incident could have occurred. The sole corroborating evidence falsified her timeline. The case proceeded anyway. The resulting verdict was then weaponized in a defamation suit — where Trump was held liable for denying the allegation, while being procedurally barred from defending against it, because it was already "proven" in another court, regardless how flawed the procedure was. He was punished, in effect, for asserting his own innocence. Compounding everything: coordinated professional and physical threats so thoroughly intimidated the legal community that attorneys refused these cases regardless of available fees. When you systematically destroy a defendant's ability to retain counsel of choice, you forfeit the right to a legitimate verdict. An allegation is not evidence. Process without substance is not law. And a verdict produced under these conditions carries no legitimate authority — whatever its formal status. Not only is it the right move to investigate Carroll, but every other person involved as well. Trump is owed serious damages here, and there may be a few people who belong in prison for their roles in the case.
- Jun 4, 202420x their median
David Sacks explains exactly how Dr. Anthony Fauci orchestrated the pandemic and knowingly lied to the American public to protect his own a**. If there is one thing you watch today, this is it. During the @theallinpod, Sacks explains how Fauci purposely misled the American public to protect himself. "They knew right away that [Cov*d] came from a lab leak and Fauci and Collins said in emails that they were gonna begin a brutal takedown in order to conceal this fundamental truth of the lab leak from the public." "Now, why would Fauci need to conceal this? Because he had funded gain of function research programs... to conduct gain of function research at the Wuhan Institute of Virology." "Fauci was personally responsible for reversing an Obama-era decision to prohibit gain of function research because it was so risky." "[Fauci] funded a gain of function research. He was personally responsible for lifting the ban on gain of function research." "He had a lot of reasons to wanna hide the fact that COVID was engineered in a lab and was lab leak." "Longtime colleague of Fauci and Collins at NIH. Dr. David Morens developed a strategy for evading FOIA requests that would expose the truth." "He did this by deleting government emails, which is a crime by using private email to conduct government business, which is also a crime." "And then strategically misspelling names and titles to frustrate the FOIA searches." To recap: - Fauci aggressively pursued gain-of-function research and was responsible for funding the Wuhan lab while others warned of the dangers. - The virus then leaked from this lab, leading to trillions of dollars in debt which will paralyze our economy for decades into the future, death, su*cides, etc. - Fauci and others were paraded around as heroes. - Trump was ridiculed for pushing the lab leak theory. - Instead of admitting to the lab leak, Fauci and other doctors did all they could to cover it up. - To top it off, many scientists accepted millions of dollars in royalties from the vaccine. You should be furious.
- Jun 7, 202620x their median
Scott Pelley says Bari Weiss asked 60 Minutes staffers: “Why do you think the country thinks you’re biased?" Pelley: "Why do you think so? Do you have a poll? Is there market research? What are you talking about?" "Because we certainly didn't believe that." Incredible. https://t.co/dFYYob38Xj
- Aug 9, 20264.0x their median
We lost a Reagan. Then our Zara. Then Pongo, and then a Gunther. Nothing really helps. But now we have a Saint! https://t.co/kuWvSmktKi
- Aug 23, 20262.5x their median
Can I finish my coffee at least https://t.co/60G3wzeUTp
- May 24, 2026
It’s raining, what can I do?!! https://t.co/LrlrDR7WW2
- Sep 3, 20261.9x their median
Made it! #Telluride53 https://t.co/de1qQseS0j
- Sep 20, 20261.9x their median
Dogging me AGAIN to play fetch on a rainy Sunday. https://t.co/Xkoky9TQF0
- May 31, 20261.7x their median
Very Happy 96th Birthday to the Legend! No one comes close. https://t.co/u9U15FqmqY
- Sep 4, 2026
Great spot before the movies #TellurideFilmFestival https://t.co/OWvCp5aYbv
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
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 1.3K interactions against 385K followers, an engagement rate of 0.338%. Posts are seen about 38K times each, and 3.28% of those impressions turn into an interaction. That is about 9.99% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.47 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 12:00 UTC, and Sunday is the busiest day of the week. Of the 6 posts sampled, 100% carry an image or video and 17% link out. The account's strongest tracked post pulled 71K interactions, about 56x its own typical post. Recurring topics include #telluridefilmfestival, #telluridepatronbrunch. Only 6 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 Joe Kernen's engagement rate on X?
- Joe Kernen (@JoeSquawk) has an engagement rate of 0.338%, based on the median interactions across 6 original posts from the last 30 days against 384,972 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.338%, Joe Kernen 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 @JoeSquawk have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @JoeSquawk post?
- Most posts go out around 12:00 UTC, and Sunday is its busiest day, at roughly 0.47 posts per day across the measured window.