Anne Wojcicki engagement report
@annewoj23 - 440K followers on X
Measured over 1 original post from a 30-day window, last computed on September 28, 2026.
Engagement
Early reading. We have captured 1 original post 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 71 interactions against 440K followers, an engagement rate of 0.017%. Posts are seen about 16K times each, and 0.454% of those impressions turn into an interaction. That is about 3.55% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 15:00 UTC, and Sunday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 11K interactions, about 154x its own typical post. Only 1 original post 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 1 original post from a 30-day window, last computed on September 28, 2026.
Where this sits in the catalog
At 0.017%, Anne Wojcicki sits above the 10th percentile of the 213,282 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.
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 | 82.9% |
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 15:00 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 | 0% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 100% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 0% 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.
- 100% 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 215 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.
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
- Apr 17, 2026154x their median
I'm lucky enough to have a great doctor and access to excellent Bay Area medical care. I've taken lots of standard screening tests over the years and have tried lots of "health tech" devices and tools. With all this said, by far the most useful preventative medical advice that I've ever received has come from unleashing coding agents on my genome, having them investigate my specific mutations, and having them recommend specific follow-on tests and treatments. Population averages are population averages, but we ourselves are not averages. For example, it turns out that I probably have a 30x(!) higher-than-average predisposition to melanoma. Fortunately, there are both specific supplements that help counteract the particular mutations I have, and of course I can significantly dial up my screening frequency. So, this is very useful to know. I don't know exactly how much the analysis cost, but probably less than $100. Sequencing my genome cost a few hundred dollars. (One often sees papers and articles claiming that models aren't very good at medical reasoning. These analyses are usually based on employing several-year-old models, which is a kind of ludicrous malpractice. It is true that you still have to carefully monitor the agents' reasoning, and they do on occasion jump to conclusions or skip steps, requiring some nudging and re-steering. But, overall, they are almost literally infinitely better for this kind of work than what one can otherwise obtain today.) There are still lots of questions about how this will diffuse and get adopted, but it seems very clear that medical practice is about to improve enormously. Exciting times!
- Sep 6, 2025
1/ Last year, I lost my sister Susan to lung cancer. Lung cancer in people who never smoked is the 5th leading cause of cancer globally. It kills more people than breast, colon, and prostate cancer combined. Today at 23andMe, we’re announcing steps to accelerate breakthroughs:
- Apr 9, 202610x their median
Every mammogram should be supported by 3 different AIs for improved detection of cancer, prevention, and risk of heart disease. At no cost to patients. My new @TheLancet essay reviews the evidence and the lack of implementation https://t.co/AslAZroL73 https://t.co/znfjtV04HB
- Apr 8, 20264.6x their median
Delighted to share our latest research from the @23andMeResearch Team, just published in @Nature ! We looked at data from >27,000 participants to uncover how human genetics influences weight loss efficacy and side effects of GLP-1 medications like semaglutide. A thread 🧵👇
- Apr 30, 20262.8x their median
Craig Venter always kept me on my toes. From the earliest days of @23andMe till conversations last month, he was full of excitement about the potential of understanding the human genome and the ways it would benefit society. What a legacy. 🧬🧬 https://t.co/mGtXpFiTH3
- May 12, 2026
Carrying out Susan’s mission is an important initiative for our family. Susan was shocked when she learned she had lung cancer and even more surprised to learn that it’s the number one cancer killer. https://t.co/hbiXgsHQ3L
- Feb 10, 2026
In my 52 years I have never had twins in my eggs! Anyone else see this before? https://t.co/2E8gwbB1Iy
- Sep 20, 2026
“This mutation is so rare that we weren’t able to get population-level risk estimates without the size of a database like that from 23andMe.” - Dr. LoPiccolo at Dana Farber Cancer Institute https://t.co/hKw7ynPM6u
- May 12, 2026
https://t.co/tOb5U8HuIW
- Oct 28, 2025
Delighted to see our method, PRSformer, at #NeurIPS2025! PRSformer is AI model for population-scale disease-risk prediction from individual genomes. It lays the groundwork for phenome-wide risk prediction. https://t.co/LqlbOwzfuO
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 71 interactions against 440K followers, an engagement rate of 0.017%. Posts are seen about 16K times each, and 0.454% of those impressions turn into an interaction. That is about 3.55% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.23 posts a day over the last 30 days, though only 10% of days saw any activity at all. Most posts go out around 15:00 UTC, and Sunday is the busiest day of the week. Of the 1 posts sampled, 100% link out. The account's strongest tracked post pulled 11K interactions, about 154x its own typical post. Only 1 original post 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 Anne Wojcicki's engagement rate on X?
- Anne Wojcicki (@annewoj23) has an engagement rate of 0.017%, based on the median interactions across 1 original posts from the last 30 days against 440,472 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.017%, Anne Wojcicki sits above the 10th percentile of the 213,282 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 @annewoj23 have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @annewoj23 post?
- Most posts go out around 15:00 UTC, and Sunday is its busiest day, at roughly 0.23 posts per day across the measured window.