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John Jackson engagement report

@hissgoescobra - 62K followers on X

Measured over 16 original posts from a 30-day window, last computed on September 28, 2026.

Engagement

Top 10% for its size
Per follower
1.73%
of 62K followers
Per impression
1.57%
68K views on a typical post
Reach
110.7%
of its followers see a post
Typical post
1.1K
interactions (median)
Saved
0.125%
85 bookmarks on a typical post
Posting rate
1.97/day
active 17% of days
Peak time
17:00 UTC
Sunday

A typical post picks up 1.1K interactions against 62K followers, an engagement rate of 1.73%. Measured over 16 original posts, its engagement rate beats 91% of 20,445 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 68K times each, and 1.57% of those impressions turn into an interaction. That is about 109.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 17:00 UTC, and Sunday is the busiest day of the week. Of the 16 posts sampled, 75% carry an image or video and 25% link out. The account's strongest tracked post pulled 3.6K interactions, about 3.4x its own typical post.

Measured over 16 original posts from a 30-day window, last computed on September 28, 2026. Recurring tag: #iran.

Compared with accounts its own size

John Jackson's engagement rate beats 91% of the tracked X accounts closest to it in follower count (20,445 accounts, accounts of similar size (decile 5 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 51% 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 1.73%, John Jackson sits above the 75th percentile of the 204,798 accounts in this comparison. That places it in the top 25% band, which runs 0.678% to 2.55%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,798 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,879 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 17:00 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 17:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 17:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Sunday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video75% of posts+111%+108% to +115%34K
Outbound link25% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 75% 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.
  • 25% 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 529 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

  • Sep 28, 20263.4x their median

    Texas Tribune: Jasmine Crockett excludes Talarico from her endorsement list of candidates running for office in Texas https://t.co/PD0VXFVQF6

    2.5K193427516972K viewsView on X
  • Sep 27, 20263.3x their median

    A farmer driving home from a party near RAF Fairford spotted three suspicious white vans blocking a country road and masked men in balaclavas scattering into nearby fields and toward the US air base. She turned around, called police and warned residents to lock their doors. Within 25 minutes, five men had been arrested on suspicion of preparing a terrorist act, The Telegraph reports.

    3.0K4156356234K viewsView on X
  • Sep 26, 20263.1x their median

    牺牲的中国飞手【谭震】的画像已经摆放到基辅独立广场。 只要侵略者还在,我们中国志愿者便不会放弃战斗! 荣耀属于乌克兰英雄。正义必胜! https://t.co/jWA8fCjAzc

    2.9K2821101657K viewsView on X
  • Sep 28, 20262.0x their median

    The US is fucked... they can't fight inflation. What enabled Volcker to kill inflation by hiking rates aggressively was debt-to-GDP being at just ~30%. Today, we are at over 100% and running $2T deficits... This means all that rate hikes accomplish is increasing the deficit and thereby increasing inflationary pressures. In other words, it doesn't matter whether we get a hike or a cut... the result will be inflation. The reason debt to GDP was so low during the Volcker era was because the US had inflated the debt away after WWII. I expect history to rhyme. We don't own enough hard assets for what's coming.

    1.6K2461713294K viewsView on X
  • Sep 26, 20261.7x their median

    ‼️Ukraine’s Vivaldi counteroffensive could make a real impact on the Trump administration, showing that backing Ukraine is a far better strategic investment than pursuing closer ties with russia. One of the operation’s key technological breakthroughs came from the NC13 unit, which developed a new way to deliver UGVs deep into russian positions by drone. I’ll be releasing a major exclusive on this operation soon. For now, here’s a preview. ———————————————- KATERYNA LISUNOVA: This is Operation Vivaldi. It’s being carried out by the Third Assault Brigade of the Third Army Corps. Part of the Third Army Corps is the NC13 UGV Assault Unit. Just yesterday, they released information about a completely new technology they’ve been using. It essentially involves transporting UGVs, unmanned ground vehicles, by drone and landing them directly at the positions they need to attack. Sometimes they bring them back, sometimes they don’t. But the point is that they’re carrying out these operations by flying in robotic systems, basically robots, to fight russians instead of sending infantry, which helps save Ukrainian lives. And if I’m not mistaken, you’re actually showing footage right now of precisely this kind of operation being carried out. This is something that will likely be in the news a lot because, at this point, it’s unprecedented. It’s a very new development, and this technology is one of the tools that helped make this operation successful. We can see that it works, and it is also one of the ways Ukraine is trying to save the lives of its soldiers. That has never really been the case for russians, and it is one of their biggest weaknesses. They are still using a Soviet-style strategy of simply throwing as many people as possible into battle, basically a meat-grinder approach. That is not the case with Ukrainians, who are beginning to use actual robots to take out russian positions. This is a major operation, and this technology has been one of the powerful tools Ukrainians have used to make the Vivaldi counteroffensive successful. It is a very important part of it. And the technological side of this will definitely have an impact on the U.S. administration and on Donald Trump. It not only demonstrates Ukraine’s technological advantage, but also shows the development of technologies that the United States does not currently have in the same form and, in some cases, may not yet fully understand. I’ve had a lot of conversations about this, and I’ve realized that sometimes it is actually very difficult for me to explain how these systems work and what exactly I’m talking about, because to many Americans, at this point, it almost sounds like science fiction. DON ARLETH (@DonArleth): And it never ceases to amaze me how Ukraine develops these methods, then essentially rewrites military doctrine, and everyone else starts paying attention. I just hope to see Ukraine continue on this path. NATO is already talking about how much it can learn from Ukraine’s Armed Forces. WATCH FULL INTERVIEW FOR @TVPWorld_com HERE AND STAY TUNED FOR MORE: https://t.co/fA4iPQ7Xd7

    1.3K346791555K viewsView on X
  • Sep 27, 2026

    Donald Trump on the suspected bomb plot at RAF Fairford in England: "Working with Britain, it was an amazing job. We had them under investigation. They were looking to do big damage to our fort, and working with the British worked out great. We had them under view for a long time and we got them." https://t.co/xSf69UVmXG

    9451478037476K viewsView on X
  • Sep 28, 2026

    NEW: All 5 Fairford Incident suspects bailed Per @TerrorismPolice

    681143179158790K viewsView on X
  • Sep 27, 2026

    British police are investigating possible Iranian involvement in the plot targeting RAF Fairford, The Telegraph reports. Sources close to the investigation reportedly believe Iranian agents may have been directly involved.

    8841533021108K viewsView on X
  • Sep 27, 2026

    🚨EXCLUSIVE: Some early Anthropic employees are considering buying remote land in the U.S. to relocate to if AI goes seriously wrong. Employees also trade doomsday scenarios and preparation plans in a private Slack, while Anthropic workers have their own office space inside Berkeley’s Constellation AI-safety community. The wider safety scene has discussed iodine pills, remote islands and electromagnetically shielded desert bunkers. Anthropic employees adopted a fitting motto: “Things will never be chill again.”

    808878952200K viewsView on X
  • Sep 25, 2026

    🦔A two-tower office complex in downtown Philadelphia was appraised at $471 million in 2019. A judge just approved its sale for $70 million. The 85% decline means even the AAA-rated bonds backed by the property will take losses, only the third time that's happened since the 2008 financial crisis. Pimco, one of the largest bond managers in the world, holds roughly $58 million across the deal and faces over $35 million in losses. The building was 93% leased in 2020. It's 28% leased today. Over 30 other top-rated single-asset CMBS deals are now below 85 cents on the dollar, per Bloomberg. My Take AAA is supposed to mean you always get paid. Pimco bought that rating and is about to recover 44 cents on the dollar. The building lost 65 points of occupancy in six years and the agencies didn't downgrade the bonds fast enough for it to matter. The ratings were wrong in 2008 on housing and they were wrong here on offices. These single-asset deals were Wall Street's favorite product for a decade. One building, one loan, slap a AAA on the top tranche. A KBRA analyst called it "binary." Either everything pays or everything defaults. That structure hides risk behind a credit rating until it's too late to get out. And the BofA head of CMBS strategy said this is just the start. Chicago, Denver, Portland, downtown LA, none of those office markets have recovered and the loans are coming due over the next two years. At a 5.13% 10-year yield, no one is going to refinance a half-empty office tower. The owners walk away, the bondholders eat it, and the AAA stamp was worth exactly what it was in 2008. Hedgie🤗

    754187352327K viewsView on X

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

#iran

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 1.1K interactions against 62K followers, an engagement rate of 1.73%. Measured over 16 original posts, its engagement rate beats 91% of 20,445 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 68K times each, and 1.57% of those impressions turn into an interaction. That is about 109.6% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 17:00 UTC, and Sunday is the busiest day of the week. Of the 16 posts sampled, 75% carry an image or video and 25% link out. The account's strongest tracked post pulled 3.6K interactions, about 3.4x its own typical post.

What is John Jackson's engagement rate on X?
John Jackson (@hissgoescobra) has an engagement rate of 1.73%, based on the median interactions across 16 original posts from the last 30 days against 61,901 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 1.73%, John Jackson sits above the 75th percentile of the 204,798 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 @hissgoescobra have real engagement?
Its engagement rate beats 91% of the tracked X accounts closest to it in follower count (20,445 accounts), which puts it in the top 10% 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 @hissgoescobra post?
Most posts go out around 17:00 UTC, and Sunday is its busiest day, at roughly 1.97 posts per day across the measured window.

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