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Steve Burns engagement report

@SJosephBurns - 1.1M followers on X

Measured over 707 original posts from a 30-day window, last computed on October 28, 2026.

Engagement

Middle of its size range
Per follower
0.009%
of 1.1M followers
Per impression
0.465%
21K views on a typical post
Reach
1.90%
of its followers see a post
Typical post
98
interactions (median)
Saved
0.095%
20 bookmarks on a typical post
Posting rate
25.6/day
active 103% of days
Peak time
09:00 UTC
Tuesday

A typical post picks up 98 interactions against 1.1M followers, an engagement rate of 0.009%. Measured over 707 original posts, its engagement rate beats 32% of 21,185 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 21K times each, and 0.465% of those impressions turn into an interaction. That is about 1.90% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 25.6 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 09:00 UTC, and Tuesday is the busiest day of the week. Of the 707 posts sampled, 18% carry an image or video, 6% are part of a thread and 23% link out. The account's strongest tracked post pulled 1.3K interactions, about 13x its own typical post. Recurring topics include #bitcoin, #hurricaneisaias.

Measured over 707 original posts from a 30-day window, last computed on October 28, 2026. Recurring tags: #bitcoin, #hurricaneisaias.

Compared with accounts its own size

Steve Burns's engagement rate beats 32% of the tracked X accounts closest to it in follower count (21,185 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 29% 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 0.009%, Steve Burns sits above the 10th percentile of the 212,741 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.025%.

p100.004%
p250.025%
p50 (median)0.146%
p750.697%
p902.61%
p9982.8%
Engagement rate as a share of followers, across the 212,741 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,375 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 percentile0.025%
50th percentile0.146%
75th percentile0.697%
90th percentile2.61%
99th percentile82.8%

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 09:00 UTC, and Tuesday 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: 09:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 09:00 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: Tuesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Tuesday
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 video18% of posts+111%+108% to +115%34K
Outbound link23% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 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.
  • 23% 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 157 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

  • Sep 6, 202613x their median

    First you hate losses. Then you tolerate losses. Then you plan losses. Then you size positions around losses. Eventually you realize something strange: Learning exactly how to lose is part of learning how to win.

    1.1K12340839K viewsView on X
  • Sep 9, 202612x their median

    The Math of Profitable Trading: https://t.co/8DLQ2t0XEO

    99820116843K viewsView on X
  • Oct 17, 202610x their median

    IQ is overrated in trading. Emotional Intelligence is what makes traders great.

    8737457635K viewsView on X
  • Oct 20, 20269.1x their median

    Never underestimate the self-control needed to sit and watch the market and not trade.

    7658036831K viewsView on X
  • Sep 6, 20268.4x their median

    Scalpers need speed. Day traders need focus. Swing traders need patience. Trend traders need holding power. Position traders need perspective. Different timeframes don't just require different systems. They require different temperaments.

    7119114435K viewsView on X
  • Oct 16, 20267.8x their median

    Trading is: 33% Math 33% Psychology 33% Risk Management 1% Perseverance

    6606343336K viewsView on X
  • Sep 19, 20267.7x their median

    Hey @grok What trading method has created the most millionaires? Trend following. Day trading. Macro trading. Reversion to the mean. Mechanical trading systems. Algorithmic trading. Swing trading. Position trading.

    65443584187K viewsView on X
  • Oct 19, 20267.4x their median

    If you can enter and exit 30 straight trades following all your rules with discipline you have a trading system. If you can’t, you’re just gambling.

    6226538134K viewsView on X
  • Aug 25, 20267.4x their median

    Protect your capital.
Protect your capital.
Protect your capital. Until the odds are heavily in your favor. Then have the courage to put enough capital to work for taking risk to be worth the potential reward.

    6545714033K viewsView on X
  • Oct 6, 20267.4x their median

    Trading is the perfect one-person business for an introvert.

    6454821733K 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

#bitcoin#hurricaneisaias

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 98 interactions against 1.1M followers, an engagement rate of 0.009%. Measured over 707 original posts, its engagement rate beats 32% of 21,185 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 21K times each, and 0.465% of those impressions turn into an interaction. That is about 1.90% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 25.6 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 09:00 UTC, and Tuesday is the busiest day of the week. Of the 707 posts sampled, 18% carry an image or video, 6% are part of a thread and 23% link out. The account's strongest tracked post pulled 1.3K interactions, about 13x its own typical post. Recurring topics include #bitcoin, #hurricaneisaias.

What is Steve Burns's engagement rate on X?
Steve Burns (@SJosephBurns) has an engagement rate of 0.009%, based on the median interactions across 707 original posts from the last 30 days against 1,112,634 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.009%, Steve Burns sits above the 10th percentile of the 212,741 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 @SJosephBurns have real engagement?
Its engagement rate beats 32% of the tracked X accounts closest to it in follower count (21,185 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 @SJosephBurns post?
Most posts go out around 09:00 UTC, and Tuesday is its busiest day, at roughly 25.6 posts per day across the measured window.

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