Casey engagement report
@rodarmor - 2.2M followers on X
Measured over 22 original posts from a 30-day window, last computed on October 26, 2026.
Engagement
A typical post picks up 86 interactions against 2.2M followers, an engagement rate of 0.004%. Posts are seen about 41K times each, and 0.206% of those impressions turn into an interaction. That is about 1.91% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 22 posts sampled, 18% carry an image or video, 14% are part of a thread and 32% link out. The account's strongest tracked post pulled 47K interactions, about 353x its own typical post.
Measured over 22 original posts from a 30-day window, last computed on October 26, 2026.
Where this sits in the catalog
At 0.004%, Casey 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 Thursday 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 | 18% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 32% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 18% 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.
- 32% 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 246 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
- May 1, 2026353x their median
Victorian-era foldable fan-parasol. Ca. 1854 -1860. https://t.co/VjugJnrU3F
- Jun 9, 2026223x their median
I just open sourced my "Is this slop?" simple test https://t.co/iNZD3QR9HS
- Jul 1, 202611x their median
I don't often tweet about BIP-110 because it has always been a comedically moronic project that is doomed to failure. The degree to which it won't work is fractal-like. You can zoom in to the details or zoom out to the big picture and conclude that it won't work.
- Jun 24, 20265.9x their median
Inscriptions now have social media image previews and it only took three and a half years 😅 https://t.co/gt63Un2UXy
- Jun 1, 20267.7x their median
Happy Rune June!
- Jul 29, 20267.9x their median
THE CREATOR OF ORDINALS SAYS BIP-110 IS DOOMED Casey @Rodarmor and @realizingerin dive into the history and drama behind BIP-110, Bitcoin's controversial anti-spam filter proposal. This episode covers the origins of Bitcoin's spam debate, @LukeDashjr's decade-long anti-spam crusade, the rise of Ordinals, Inscriptions, and Runes, the Bitcoin Core vs. Bitcoin Knots conflict, and a full technical breakdown of what BIP-110 actually does — and why it's doomed to fail. TIMESTAMPS 0:00 Intro 2:11 Satoshi Dice and the origin of Luke Jr's anti-spam crusade 10:20 Meta-protocols arrive: Counterparty, OmniLayer, and Tether's origins on Bitcoin 11:56 The op_return byte limit history 18:41 Why Ethereum failed 28:51 Ordinals launch in Jan 2023 40:12 Insidious motivations behind anti-Ordinals backlash and the Swanfluencers 53:42 What BIP-110 actually is and does 1:00:43 BIP-110 signaling timeline and activation dates 1:08:16 Explaining the mining difficulty adjustment problem for a minority fork 1:21:00 Why BIP-110's filters are trivial to bypass (Ordinals and Runes survive regardless) 1:25:33 Final thoughts: why the whole community should log off and move on
- Jun 25, 20265.2x their median
I was working on the promised turbo flag feature, and landed on P2P rune gambling. But it's impractical to restrict it to turbo-flag runes only. Should I turn it on for all runes? 🧵 https://t.co/5nhmGcPNh8
- Jun 10, 20265.2x their median
CASEY @RODARMOR AND @REALIZINGERIN ARE REVIEWING YOUR RUNES 👀 To submit yours, reply below with the https://t.co/CVRqTo3cY3 link or rune ticker name. If there's an esoteric backstory, we'd love to hear it. We will be reviewing and picking favorites on the next episode ❤️🔥 https://t.co/EhAAwFUAsF
- Apr 22, 20262.7x their median
REVIEWING SPAM ON THE DIGITAL MEGALITH We're diving deep into the dark corners of spam on Bitcoin by reviewing inscriptions submitted by our listeners. We reviewed EVERY SINGLE INSCRIPTION, so check out what we had to say about your fav! 0:00 Intro 3:44 @lifofifo 5:15 @LeonidasNFT 7:35 @veryordinally 8:25 @thatwagmigirl 9:40 @eliherf1 11:15 @billyrestey 12:50 @boppleton 14:07 @YungGucciT 15:20 @BitcoinFrogs 15:50 @PawelDudko 18:10 @Ordinals10K 19:20 @huuep 19:50 @pizzaninjas 21:40 @ThePand3monium 23:40 @Memeticx 26:30 @blockamoto 31:00 @BravoCosto 32:50 @OrdTorches 34:10 @lukaskalm 36:55 @unfungiblehuman 38:15 @TaprootWitches 39:50 Biggest 4megger 42:10 @Satland 44:00 Mongoose 46:40 Blockavatars 47:30 @R4vonus 49:45 We love Bitmap 51:30 @rot13maxi 53:50 @ankhtoshi 57:30 @Raxonchain 1:00:50 BIP39 spell checker 1:01:50 @DanMercurius 1:05:20 OMB, @suicidetoshi 1:09:30 Bitmap web5 1:10:30 Cats on the blockchain 1:12:30 @3dOrdinalClub 1:13:30 @TheBitassets 1:15:30 @mannequinsnft 1:18:00 @richbi11 racing game 1:22:00 Dark Bitmap 1:24:00 Trump video 1:29:25 Inflatables 1:33:40 Ranking the contenders
- Jun 26, 20264.3x their median
🍀 LUCKY SATS 🍀 Each uncommon or rarer sat now has a luck score, equal to the luck of the block it was mined in. Lucky blocks have more leading binary zeros in the block hash than required by the difficulty target. 🧵
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 86 interactions against 2.2M followers, an engagement rate of 0.004%. Posts are seen about 41K times each, and 0.206% of those impressions turn into an interaction. That is about 1.91% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.1 post a day over the last 30 days, with activity on roughly 50% of days. Most posts go out around 19:00 UTC, and Thursday is the busiest day of the week. Of the 22 posts sampled, 18% carry an image or video, 14% are part of a thread and 32% link out. The account's strongest tracked post pulled 47K interactions, about 353x its own typical post.
- What is Casey's engagement rate on X?
- Casey (@rodarmor) has an engagement rate of 0.004%, based on the median interactions across 22 original posts from the last 30 days against 2,176,392 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.004%, Casey 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 @rodarmor have real engagement?
- There is not yet enough sample to rank this account against others of its size.
- When does @rodarmor post?
- Most posts go out around 19:00 UTC, and Thursday is its busiest day, at roughly 1.13 posts per day across the measured window.