OpenVAERS engagement report
@OpenVAERS - 57K followers on X
Measured over 3 original posts from a 30-day window, last computed on October 6, 2026.
Engagement
Early reading. We have captured 3 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 76 interactions against 57K followers, an engagement rate of 0.133%. Posts are seen about 3.9K times each, and 1.97% of those impressions turn into an interaction. That is about 6.74% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 1.7K interactions, about 22x its own typical post. Only 3 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 3 original posts from a 30-day window, last computed on October 6, 2026.
Where this sits in the catalog
At 0.133%, OpenVAERS sits above the 25th percentile of the 213,004 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.147%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.025% |
| 50th percentile | 0.147% |
| 75th percentile | 0.698% |
| 90th percentile | 2.61% |
| 99th percentile | 82.8% |
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 13:00 UTC, and Friday 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 | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 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.
- 0% 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 1037 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
- Oct 2, 202622x their median
Announcing OpenVAERS version 4!! I have completely refactored searching, rebuilding from the ground up. It’s much faster, more usable, with term highlighting and now includes simple charting for any query you make. Please give it a try, I think you will find it a much smoother experience! The most recent VAERS update is now available. Feedback would be greatly appreciated. @JesslovesMJK @jeffreytucker @Fynnderella1 @BrianHookerPhD @HighWireTalk @uTobian @aravindmohanoor
- Jun 28, 202311x their median
@CDCgov we have simple question. Where are the statistics on #VAERS reports found to be causal? Why are there unrelated reports that remain in the public facing data? @JeffereyJaxen @AaronSiriSG @CDCDirector @VigilantFox @JesslovesMJK @SenRonJohnson @HighWireTalk #2SetsofBooks https://t.co/tRH2RmLpBo
- Aug 29, 20263.3x their median
I’ve recently posted a series of genuine VAERS reports that were so obviously fake, absurd, or ridiculous that I shared them mostly because they were amusing. But they also reveal something important about VAERS. It is an open self-reporting system. Anyone can submit a report. And I think a lot of people misunderstand what the real problem with that actually is. The obvious joke reports and blatant fakes aren’t the important part. They’re easy to spot, and nobody serious is treating “the vaccine turned me into the Hulk” as evidence of a vaccine injury. Though notice that this one is actually classified as SERIOUS and lists PERMANENT DISABILITY. It was filed in 2004 over an alleged event following a vaccination in 1971. That alone should tell you something about what the word “report” means in VAERS. The much bigger problem is the mountain of reports that look perfectly ordinary but contain injuries, diagnoses, miscarriages, heart attacks, cancers, or deaths that were never shown to have been caused by the vaccine at all. A person gets vaccinated, something happens afterward, and a VAERS report gets filed. That report now exists in the database whether the vaccine caused the event, contributed to it, had nothing whatsoever to do with it, or the entire story was exaggerated or fabricated. That’s why VAERS is a signal-detection system. It is not a database of verified vaccine injuries. And this becomes especially important when people start adding up raw VAERS reports and presenting the total as though it represents confirmed harm. If enormous claimed risks appear in a self-reported database but fail to appear at anything remotely comparable in controlled studies, linked medical-record databases, active surveillance systems, or population-level analyses, that should tell you something. You’re very likely looking at reporting bias, misattribution, stimulated reporting, duplicate reporting, background medical events, deliberate exaggeration, or some combination of them. And there’s another uncomfortable question people rarely want to address: do you really believe that among the most fanatical anti-vaccine activists, absolutely nobody would ever submit an exaggerated or deliberately false report to a system they know accepts reports from the public? People manufacture fake screenshots, fake quotes, fake obituaries, fake graphs, fake medical claims, and fake news stories every single day to push political and ideological narratives. Yet somehow an open-submission vaccine-reporting database is supposed to be magically immune to that behavior? The ridiculous VAERS reports are funny. The believable ones that were never verified are the real reason you should understand what VAERS actually is before using its raw numbers as evidence.
- Sep 9, 2026
7 years ago about 2000 mostly-moms gathered at the California capitol to protest the bill that would remove all medical exemptions in CA. My story didn’t start here, it started with my daughter’s vaccine injury and before that my vaccine injury. But this day was pivotal. A staffer of our senator— a man at whose house I had been a dinner guest of, and he at mine—pretended he didn’t know me. We could hear them making jokes at the expense of our injured children, in halls and offices as if this was perfectly acceptable behavior. We learned that junior senators would agree privately but couldn’t buck the senior senators or they would never leave their shoebox offices. I was told by a very popular podcaster about to land a network gig that that would evaporate if he continued covering the issue. And finally we shut the senate proceedings down for 2 hours. Only the second time in California history. That happened and women were arrested for chaining themselves to doors. But the news only covered the arrests. I came home that day and not one person was aware of what had transpired. For 2 hours we stopped the business of government in California and it was censored. Deeply. When I first asked grok for a list of shuttings of the CA capitol this was not on it. When I asked for the arrests first and gave it the date it finally acknowledged it happened. Because of this bill that we couldn’t stop California has no path for exemptions. OpenVAERS exists because of my anger on this day. My deep feelings of betrayal and disillusionment by my representatives, my state and my party at the time and my new understanding that the story is not necessarily truth, it’s merely the narrative that those in power at the moment want you to think about it. OpenVAERS exists to separate the data from the narrative and its priests that want absolute control.
- Sep 18, 2026
THE LOWEST DEATH RATE IN 50 YEARS.” — RFK JR. “CDC has reported that age-adjusted death rates declined by 4.6% in 2025… Mortality declined among every age group.” “Real food sales went up by 8% this year.” “And the processed food industry’s share value, since I shook hands with President Trump in August 2024, has dropped by 60%.” — HHS Secretary Robert F. Kennedy Jr., speaking yesterday at the Children’s Health Defense conference. For years, Moms Across America has been sounding the alarm about our nation’s chronic disease epidemic and demanding a food and health system that puts the health of our children FIRST. Americans are waking up. They are choosing real food. They are demanding change. And the market is responding. 🇺🇸 @SecKennedy @ChildrensHD
- Aug 28, 2026
Ebola vaccination effort begins in DRC The Ervebo vaccine, which targets a different strain of Ebola but may offer some protection against the Bundibugyo virus, is being administered to frontline workers. Read more: https://t.co/iBZXR9jgS6 📷: WHO/Rene Ifono https://t.co/0sxiu9Kbmm
- Aug 28, 2026
Did you get the chicken pox vaccine, for whatever reason were tested, and found you had no antibodies?
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.
Buy or sell Twitter (X) accounts - escrow-protected
PlayerSells is an escrow marketplace for Twitter (X) accounts. Every deal is protected, with no middleman risk.
Reading these numbers
A typical post picks up 76 interactions against 57K followers, an engagement rate of 0.133%. Posts are seen about 3.9K times each, and 1.97% of those impressions turn into an interaction. That is about 6.74% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 13:00 UTC, and Friday is the busiest day of the week. Of the 3 posts sampled, 100% carry an image or video. The account's strongest tracked post pulled 1.7K interactions, about 22x its own typical post. Only 3 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 OpenVAERS's engagement rate on X?
- OpenVAERS (@OpenVAERS) has an engagement rate of 0.133%, based on the median interactions across 3 original posts from the last 30 days against 57,238 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.133%, OpenVAERS sits above the 25th 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 @OpenVAERS have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @OpenVAERS post?
- Most posts go out around 13:00 UTC, and Friday is its busiest day, at roughly 0.83 posts per day across the measured window.