Sharyl Attkisson 🕵️♂️💼🥋 engagement report
@SharylAttkisson - 598K followers on X
Measured over 30 original posts from a 30-day window, last computed on September 3, 2026.
Engagement
A typical post picks up 438 interactions against 598K followers, an engagement rate of 0.073%. Measured over 30 original posts, its engagement rate beats 63% of 6,874 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 15K times each, and 2.92% of those impressions turn into an interaction. That is about 2.52% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.2 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 01:00 UTC, and Tuesday is the busiest day of the week. Of the 30 posts sampled, 80% carry an image or video, 20% are part of a thread and 40% link out. The account's strongest tracked post pulled 33K interactions, about 74x its own typical post.
Measured over 30 original posts from a 30-day window, last computed on September 3, 2026.
Compared with accounts its own size
Sharyl Attkisson 🕵️♂️💼🥋's engagement rate beats 63% of the tracked X accounts closest to it in follower count (6,874 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 79% 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 0.073%, Sharyl Attkisson 🕵️♂️💼🥋 sits above the 25th percentile of the 66,536 accounts in this comparison. That places it in the below the median band, which runs 0.016% to 0.1%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.5% |
| 90th percentile | 2.09% |
| 99th percentile | 119.7% |
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 01:00 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.
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 | 40% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 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.
- 40% 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 439 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 24, 202674x their median
The fact that he's already greatful with the stuffed toy is just beautiful 😭😭😭😭 https://t.co/v4yOpQqtnD
- Sep 2, 202633x their median
Hannah was described as normal, happy and precocious in her first 18 months. Then, in July 2000, she was vaccinated against nine diseases in one doctor's visit: measles, mumps, rubella, polio, varicella, diphtheria, pertussis, tetanus, and Haemophilus influenzae. Afterward, her health declined rapidly. She developed high fevers, stopped eating, didn't respond when spoken to, began showing signs of autism, and began having screaming fits. In 2002, Hannah's parents filed an autism claim in federal vaccine court. Five years later, the government admitted vaccines caused her autism, settled quietly before it could become a landmark case, and had it sealed. CDC officials continued to call the vaccine-autism link "debunked" and a "quack" theory.
- Aug 25, 20269.7x their median
Details of every death of a person who had one or more Covid vaccines should be going into a database for analysis no matter the presumed cause in the moment. This should’ve started the day the vaccine became available. I can’t believe we’re still not doing it.
- Aug 24, 20267.9x their median
🚨 WTF?! VP JD Vance reveals the Trump admin has overturned a policy that refused to prosecute taxpayer dollar fraud if it was UNDER $1 MILLION "If it was under $1 million, the federal government would just look the other way. Isn't that crazy?!" "So what we've done is we've said NO fraud is too small. If you were defrauding the American tax paper, we're going to do everything that we can to put you in prison and send a message to the other fraudsters that gig is up, commit fraud against America and go to jail." 🔥
- Sep 1, 20267.4x their median
Bet someone out there can shed some light on this. A family member transferred a large amt of money related to a house payment from his regular bank to Fidelity where it needed to be wired the following week. The money left his checking account the day he made the transfer (meaning it wasn't available for him to use). But weeks went by and Fidelity wouldn't clear it to be used. When he finally called Fidelity, they said that due to a general pattern of increase in fraud (not related to him), it was holding onto transfers longer before releasing them, but they couldn't give a time frame (a month? a year?). In the end, the money was cleared after six weeks. The man was prevented from accessing his own money for any reason for six weeks, without advance notice given. I see numerous problems with this: 1. The Fidelity website still said transfers were typically cleared in 1-3 days. There was no warning to people that they wouldn't be able to get their money for an undetermined amount of time, let alone many weeks. 2. The money was *somewhere* for those weeks: it just wasn't available for the customer who owned it. Someone was collecting interest on it. Multiply this by how many people they're doing that to... 3. Something stinks: This customer had been with Fidelity for many years with no fraud involved in his accounts. In today's electronic age, if there was real concern, Fidelity could confirm in an instant with the bank that the money was good. I advised him to try to take it up with someone in a position of authority but he just kept getting the same answer: "due to general increase in fraud, this is what we're doing...". When he insisted on filing a complaint about the lack of notice and the credibility gap in general, they told him to write a snail mail letter to some corporate address, and he sent me a copy. It was a good letter, but nobody ever bothered to reply. I, too, have noticed similarly oddly long (and I think unjustifiable) delays. Another family member transferred cash from her checking account to fund her Shopify account and, again, the money was gone from her checking in that moment (not available to her). But it was listed as "pending" on Shopify for a week, which seems like too long. What do you think is going on? Incompetence or something by design?
- Aug 25, 20267.2x their median
Important information about the measles press conference today: Today Governor Shapiro, members of Penn Medicine LGH, and members of the PA Department of Health (DOH) held a press conference announcing two “measles-associated deaths” in Lancaster County. Officials provided virtually no background information about these “measles-associated” deaths. DOH said to “protect the privacy of the individuals and their families, DOH will not release any additional details that could personally identify these individuals and their families,” however, they did release the medical information that the two were unvaccinated. Thus, they did not release age, background, or comorbidity information, but did release vaccination information. It is important to know whether these two people died OF measles or WITH measles. Given this is important information for us to have, and that the public and media have many questions about this, I reached out to the Lancaster County Coroner’s Office for information. Deaths attributed to a communicable disease, under the law, are required to be reported to the Coroner’s office. The Coroner’s office indicates that it currently has ZERO reported cases where measles is the immediate cause of death. They have one case where a person died WITH measles, but not FROM measles. Measles was definitely NOT the cause of death in that case. Given this information, it appears at least on the surface that incorrect information was provided to the public today. That information set off significant media interest in Lancaster County, both locally and nationally. Perhaps there is an explanation, but it is incumbent on the individuals and organizations that had the press conference today to provide that information to the public in a timely and accurate way.
- Aug 29, 20265.8x their median
Sometimes I wonder if Bill Maher ever sits there and listens to the nonsense his left-wing guests say, like Molly Jong-Fast denying the lab leak, and realizes how far gone the Democratic Party is https://t.co/gnGmVPyUgJ
- Aug 25, 20263.3x their median
Congratulations to my peers, Karl Jablonowski and Brian Hooker, who didn't just critique the Andersson study — they went back to the numbers. The data and the conclusion don't match. Over a year in the making, they finally have a PubMed-indexed, peer-reviewed journal article holding Hviid's feet to the fire on what 1.2M vaccinated children in Denmark really tells us. @CHDTVLive @ChildrensHD @BrianHookerPhD Neurodevelopmental Disorder Associated with Aluminum Adsorbed Vaccines: Reanalysis of Data from a Danish Nationwide Cohort Study Karl Jablonowski, PhD; Brian Hooker, PhD https://t.co/Dq4hZFCUB9
- Aug 31, 20262.4x their median
(POLL) 99% support contempt charges against Dr. Fauci https://t.co/GPg6ToEmL5
- Aug 24, 20262.0x their median
JFC. https://t.co/2dAbQZsQ13
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 438 interactions against 598K followers, an engagement rate of 0.073%. Measured over 30 original posts, its engagement rate beats 63% of 6,874 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 15K times each, and 2.92% of those impressions turn into an interaction. That is about 2.52% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 4.2 posts a day over the last 30 days, though only 33% of days saw any activity at all. Most posts go out around 01:00 UTC, and Tuesday is the busiest day of the week. Of the 30 posts sampled, 80% carry an image or video, 20% are part of a thread and 40% link out. The account's strongest tracked post pulled 33K interactions, about 74x its own typical post.
- What is Sharyl Attkisson 🕵️♂️💼🥋's engagement rate on X?
- Sharyl Attkisson 🕵️♂️💼🥋 (@SharylAttkisson) has an engagement rate of 0.073%, based on the median interactions across 30 original posts from the last 30 days against 597,753 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.073%, Sharyl Attkisson 🕵️♂️💼🥋 sits above the 25th percentile of the 66,536 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 @SharylAttkisson have real engagement?
- Its engagement rate beats 63% of the tracked X accounts closest to it in follower count (6,874 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 @SharylAttkisson post?
- Most posts go out around 01:00 UTC, and Tuesday is its busiest day, at roughly 4.17 posts per day across the measured window.