Whitney Cummings engagement report
@WhitneyCummings - 1.4M followers on X
Measured over 14 original posts from a 30-day window, last computed on October 25, 2026.
Engagement
A typical post picks up 164 interactions against 1.4M followers, an engagement rate of 0.012%. Measured over 14 original posts, its engagement rate beats 36% of 20,444 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 39K times each, and 0.423% of those impressions turn into an interaction. That is about 2.81% 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 40% of days saw any activity at all. Most posts go out around 19:00 UTC, and Friday is the busiest day of the week. Of the 14 posts sampled, 86% carry an image or video. The account's strongest tracked post pulled 351K interactions, about 2140x its own typical post.
Measured over 14 original posts from a 30-day window, last computed on October 25, 2026.
Compared with accounts its own size
Whitney Cummings's engagement rate beats 36% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 10 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 27% 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 0.012%, Whitney Cummings sits above the 10th percentile of the 205,048 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
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 19:00 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 | 86% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 0% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 86% 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 122 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
- Jun 24, 20262140x their median
toddlers to people with deformities in the grocery store https://t.co/q7snYpHfiG
- Jan 19, 2026840x their median
🇮🇪 IRISH TEACHER ARRESTED AGAIN AFTER REFUSING TO USE "THEY" PRONOUN FOR STUDENT Back in cuffs again. Enoch Burke, the Irish teacher who’s already spent over 560 days in jail, was arrested again this morning outside Wilson’s Hospital School. Why? He wouldn’t call a male student “they,” as demanded by the school principal. "This is all about transgender ideology, forcing it upon every school in the country. They want silence, not debate. But my conscience will bring me back to this gate. I was never told I had to renounce my Christian beliefs to do this job. They can throw me in a prison cell, but they can’t force me to lie." Source: @EnochBurke
- Jan 19, 2026330x their median
A killer elephant -- who is at-large -- has left a total of 22 people dead over a 10 day period in India. Details: https://t.co/Q3njFcHsgJ 🎥: TIM https://t.co/NzXY48gI4d
- Mar 22, 2026141x their median
Police in Central Park thought they were hunting down a skilled pickpocket after multiple visitors reported their phones mysteriously disappearing without anyone noticing a thing. But while officers were questioning people in the park, a raccoon suddenly ran up, grabbed a phone, and exposed itself as the real thief. After chasing it through the trees, police found a hidden stash of stolen phones tucked away in a raccoon’s hiding spot. They later announced that anyone missing a phone in Central Park could check with the station to claim it.
- Feb 12, 202665x their median
This feels like maybe the only emotionally healthy reaction to the Epstein files? https://t.co/DfIFUkTlna
- Jan 12, 202673x their median
🤦🏻♀️ https://t.co/xwdosh1DGc
- Jun 14, 202656x their median
Oliver Tree is one of the most talented people on earth and usually that comes with an ego and all kinds of dickhead nonsense, but Oliver is pure love and the best version of what an artist and person can and should be. There’s no silver lining. We lost a giant 💔 https://t.co/RRR1dUC3ok
- Feb 10, 202649x their median
🚨THIS IS INSANE🚨 This man allegedly invited his friends over to the house for the Super Bowl and instead of showing them the game he just played the Super Bowl from 2014: Patriots - Seahawks. The man claims that no one in attendance knew the difference.https://t.co/NhyNaNcbCe
- Mar 16, 202647x their median
A guy who's built companies for 25 years just went on Diary of a CEO and said plumbers will earn more than lawyers within the next 2 years. Sounds insane. But the numbers actually back it up: Last week alone, $280 BILLION was wiped off the value of legal and data companies. Thomson Reuters crashed. LegalZoom got hammered. The entire knowledge economy felt the shockwave in real time. Why? Because AI just proved it can do what a $500/hour lawyer does for $20 a month. Daniel Priestley went on the show and explained how he recently had a legal case that was quoted at $60,000 by a law firm. Instead of paying, his team used Claude. The AI gave them a full coaching session on how to handle the case, mapped out multiple decision tree pathways, generated every document they needed, and even built a spreadsheet breaking down exactly what to say and what not to say in the negotiation. Total cost: $20 a month. They resolved the case without a lawyer. Now multiply that by every business in the world that's paying legal fees they no longer need to pay. The entire financial model of knowledge work is collapsing in real time. Meanwhile, ask yourself this: Can AI fix your toilet? Can it rewire your house? Lay your foundation? Replace your roof? It can't. And it won't be able to for decades. Here's where the supply and demand crisis gets ugly... Governments spent 20 years pushing every young person into university. Get a degree or you'll never get a job. So an entire generation that should've become plumbers, electricians, and builders went and got master's degrees in subjects nobody was hiring for. They came out with $60-80K in debt and ZERO marketable skills. That created a massive shortage of tradespeople. And now AI is about to flood the market with unemployed knowledge workers while the demand for people who work with their hands explodes. The math is simple: Too many lawyers, not enough plumbers. AI makes the lawyer surplus worse every single month. Priestley called this the most important economic shift of our LIFETIME. For 30 years, blue collar work has been devalued. Everyone wanted to sit behind a screen. White collar was the "smart" path. That era just ended. The pendulum is swinging back hard. And the people who positioned themselves in physical, hands-on work that AI cannot touch are about to be the highest earners in the economy. For anyone building a business right now, the lesson is clear: Stop chasing what's "prestigious." Chase what's SCARCE. AI can write your contracts, build your website, run your ads, and draft your emails. But it cannot show up to your client's office, shake their hand, and solve a physical problem. The winners of the next decade won't be the most technically skilled. They'll be the ones who bet on what machines can't do.
- Jan 11, 20268.9x their median
Go birds go birds go birds 🦅 https://t.co/O0t7EJ0JcZ
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 164 interactions against 1.4M followers, an engagement rate of 0.012%. Measured over 14 original posts, its engagement rate beats 36% of 20,444 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 39K times each, and 0.423% of those impressions turn into an interaction. That is about 2.81% 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 40% of days saw any activity at all. Most posts go out around 19:00 UTC, and Friday is the busiest day of the week. Of the 14 posts sampled, 86% carry an image or video. The account's strongest tracked post pulled 351K interactions, about 2140x its own typical post.
- What is Whitney Cummings's engagement rate on X?
- Whitney Cummings (@WhitneyCummings) has an engagement rate of 0.012%, based on the median interactions across 14 original posts from the last 30 days against 1,379,994 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.012%, Whitney Cummings sits above the 10th percentile of the 205,048 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 @WhitneyCummings have real engagement?
- Its engagement rate beats 36% of the tracked X accounts closest to it in follower count (20,444 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 @WhitneyCummings post?
- Most posts go out around 19:00 UTC, and Friday is its busiest day, at roughly 0.47 posts per day across the measured window.