Three Year Letterman engagement report
@3YearLetterman - 486K followers on X
Measured over 13 original posts from a 30-day window, last computed on October 22, 2026.
Engagement
A typical post picks up 1.5K interactions against 486K followers, an engagement rate of 0.304%. Measured over 13 original posts, its engagement rate beats 87% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 217K times each, and 0.681% of those impressions turn into an interaction. That is about 44.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 13 posts sampled, 69% carry an image or video, 8% are part of a thread and 15% link out. The account's strongest tracked post pulled 777K interactions, about 526x its own typical post.
Measured over 13 original posts from a 30-day window, last computed on October 22, 2026. Recurring tag: #words.
Compared with accounts its own size
Three Year Letterman's engagement rate beats 87% 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 38% 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 0.304%, Three Year Letterman sits above the 50th percentile of the 205,261 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 00:00 UTC, and Monday 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 | 69% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 15% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 69% 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.
- 15% 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 145 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
- Jan 3, 2018526x their median
North Korean Leader Kim Jong Un just stated that the “Nuclear Button is on his desk at all times.” Will someone from his depleted and food starved regime please inform him that I too have a Nuclear Button, but it is a much bigger & more powerful one than his, and my Button works!
- Oct 18, 202628x their median
American vs European food👇🏻 https://t.co/sgOlVuG4J8
- Aug 17, 202224x their median
A British man named Harvey has entered my DMs, and he is furious https://t.co/HqtaAyoU1Z
- Aug 30, 202517x their median
I forgot Kirk Herbstreit is the first and only dog owner in the history of mankind
- Sep 5, 20269.8x their median
I ended a date early tonight over Lindsay Clancy. I took a lovely young lady, Rachel, out to dinner tonight at a famous Michelin-star restaurant. Things started off nicely; we had good conversation and enjoyed a few beverages. Naturally, I ordered her a salad with a light dressing, and I ordered the 38oz porterhouse. Medium rare, of course. Our food arrived, and the conversation turned to current events. The steak was savory, beefy, and rich. A fine piece of meat cooked to absolute perfection. I was savoring the last few bites of meaty bliss when I heard Rachel say something about a “mistrial” that momentarily distracted me from my meal. “It’s so, like, disgusting that one juror detailed the entire judicial process and caused a mistrial,” she said as she tapped her fork on her empty salad plate. “I feel so bad for Lindsay. She’s going to have to go through all of the pain of that trial AGAIN now…” I felt my left eye begin to twitch with righteous indignation as I processed the words Rachel was saying. I put my hands across the table and signaled for a time out. “Hold on, Rachel,” I said. “I have something to say, but I’m not going to let it ruin this beautiful steak.“ Savoring every bite, I finished my meal in peaceful silence; only the ambient sounds of an elite restaurant could be heard. I cleared my plate and leaned back in my chair, motioning for the waitress to bring me the check. “Lindsay Clancy is a murderer,” I said, looking Rachel directly in the eye. “Juror number 12 is a hero. Period. End of story.” I was fired up. I continued to educate Rachel on the facts of the case at a rapid pace and with increasing passion. The waitress had arrived about halfway through my barrage of correction, but I was too locked in to notice. I finished saying my piece, took a breath, and paid the bill. “It was nice meeting you, Rachel.” I said as I stood up to leave. “I hope you’ve learned something valuable tonight.” She looked stunned as I strolled away and went right to the door. Several other tables had overheard our conversation. I noticed several men at other tables giving me subtle fist pumps and nods of approval as I passed by. I walked out the door and tossed the valet, a handsome and strong-looking young man with an intense gaze named Jon, a crisp $20 and got in my car. “Sir,” he interjected. “Should I let the lady know the car is ready?” “No, son,” I replied as I pulled away. “Call her an Uber Pool. I’m out.”
- Jul 21, 20118.1x their median
"I love bald men. Just because you've lost your fuzz, don't mean you ain't a peach."
- Jun 10, 20237.5x their median
Ladies and Gentlemen, I present to you the next great piece of American Literature, to be released on Twitter: https://t.co/BYuh7G5L9T
- Sep 19, 20267.3x their median
Missing my friend today https://t.co/6vQ9xCtKnO
- Oct 19, 20267.3x their median
RIP Richard Riehle. This is probably my favorite scene in Office Space https://t.co/2vgKZqa1g0
- Oct 21, 20266.9x their median
Last month, former ‘Good Morning America’ hosts Amy Robach and T.J. Holmes got married. Now their ex-spouses are engaged to each other. https://t.co/4KV9KgcA4I
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 1.5K interactions against 486K followers, an engagement rate of 0.304%. Measured over 13 original posts, its engagement rate beats 87% of 20,444 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 217K times each, and 0.681% of those impressions turn into an interaction. That is about 44.7% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.8 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 00:00 UTC, and Monday is the busiest day of the week. Of the 13 posts sampled, 69% carry an image or video, 8% are part of a thread and 15% link out. The account's strongest tracked post pulled 777K interactions, about 526x its own typical post.
- What is Three Year Letterman's engagement rate on X?
- Three Year Letterman (@3YearLetterman) has an engagement rate of 0.304%, based on the median interactions across 13 original posts from the last 30 days against 485,783 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.304%, Three Year Letterman sits above the 50th percentile of the 205,261 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 @3YearLetterman have real engagement?
- Its engagement rate beats 87% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the top quarter for its size 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 @3YearLetterman post?
- Most posts go out around 00:00 UTC, and Monday is its busiest day, at roughly 1.77 posts per day across the measured window.