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Michael Jordaan engagement report

@MichaelJordaan - 228K followers on X

Measured over 22 original posts from a 30-day window, last computed on October 1, 2026.

Engagement

Middle of its size range
Per follower
0.077%
of 228K followers
Per impression
0.819%
21K views on a typical post
Reach
9.38%
of its followers see a post
Typical post
175
interactions (median)
Saved
0.087%
18 bookmarks on a typical post
Posting rate
1.37/day
active 67% of days
Peak time
05:00 UTC
Saturday

A typical post picks up 175 interactions against 228K followers, an engagement rate of 0.077%. Measured over 22 original posts, its engagement rate beats 54% of 20,183 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 0.819% of those impressions turn into an interaction. That is about 9.38% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 05:00 UTC, and Saturday is the busiest day of the week. Of the 22 posts sampled, 50% carry an image or video and 18% link out. The account's strongest tracked post pulled 26K interactions, about 149x its own typical post.

Measured over 22 original posts from a 30-day window, last computed on October 1, 2026. Recurring tag: #ausvrsa.

Compared with accounts its own size

Michael Jordaan's engagement rate beats 54% of the tracked X accounts closest to it in follower count (20,183 accounts, accounts of similar size (decile 9 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 0.077%, Michael Jordaan sits above the 25th percentile of the 202,259 accounts in this comparison. That places it in the below the median band, which runs 0.024% to 0.142%.

p100.004%
p250.024%
p50 (median)0.142%
p750.672%
p902.54%
p9982.5%
Engagement rate as a share of followers, across the 202,259 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,930 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 percentile0.142%
75th percentile0.672%
90th percentile2.54%
99th percentile82.5%

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 05:00 UTC, and Saturday 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: 05:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 05:00 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: Saturday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Saturday
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 video50% of posts+111%+108% to +115%34K
Outbound link18% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 50% 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.
  • 18% 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 204 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

  • Aug 6, 2026149x their median

    🚨 الصين استبدلت السبورة التقليدية في 60 ألف مدرسة… والغرب ما انتبه! شركة صينية اسمها iFlytek طورت سبورة ذكية تفهم ما يكتبه المعلم مباشرة. يكتب المدرس معادلة مثل: y = x² - 3 وقبل ما يخلص، تظهر للطلاب رسمة ثلاثية الأبعاد للمعادلة. ولو رسم مثلثًا بشكل سريع، تحوله السبورة تلقائيًا إلى مجسم ثلاثي الأبعاد، يقدر الطلاب يكبرونه ويدورونه ويشوفونه من جميع الزوايا. الأهم أن التقنية ما تحتاج: • تطبيق • جهاز لوحي • لابتوب • تدريب معقد للمعلمين فقط قلم وسبورة تفهم الرياضيات والرسومات لحظة بلحظة. والتقنية مو مجرد تجربة؛ بحسب المعلومات المنشورة، تم تركيبها في 60 ألف مدرسة داخل 33 مقاطعة صينية، ويستخدمها نحو 160 مليون طالب. بمعنى أبسط: بينما شركات التعليم التقني تطور تطبيقات تحتاج أجهزة وخطوات كثيرة، الصين دمجت الذكاء الاصطناعي مباشرة داخل السبورة نفسها. قدامنا جيل كامل يتعلم الرياضيات والعلوم بطريقة تفاعلية من أول يوم… وهذا ممكن يصنع فارقًا تعليميًا ضخمًا خلال السنوات القادمة. 👀

    20K5.7K4853812.0M viewsView on X
  • Aug 4, 2026143x their median

    Jeremy Clarkson has been refused permission to sell food he grew himself, twice. In the same window, central government overruled a Lincolnshire council to put solar panels across 1,214 hectares of grazing land, an area the size of Heathrow. Run the two columns side by side, because the pattern is the whole story. He asked to open a restaurant in his own lambing shed. Refused. He asked for a car park for the people already blocking the lane. Refused. He asked to sell food produced more than sixteen miles away. Capped at sixteen. He asked for a barn to store his own harvest, so he would not have to sell at whatever price August offered. Full application required. He asked about the restaurant again. Enforcement notice, and six weeks judged ample to put the building back as it was. Now the other column. Had he covered those same fields in solar panels, the council could have refused and been overruled from Whitehall, as Lincolnshire was in October 2025. Had he grown maize to feed an anaerobic digester, nobody would have written to anybody. Had he taken £532 a hectare from Defra to grow a legume fallow, he would have been paid to leave a crop standing that may not be harvested, grazed or sold. Defra cut that rate this year and gave the reason in writing: it had become attractive enough to take land out of food production. Had he sold the lot to a data centre, a battery park or a Chinese pig unit, all four of which he listed in his column last week, the paperwork would have moved considerably faster than a farm shop's. There is your planning system. Every use of English farmland is easier to permit than farming. Two hundred of his acres grew nothing at all this year, and the queue of people who want that ground for something other than food is already forming. He is not being stopped from developing the countryside. He is being stopped from feeding it.

    19K5.5K300166372K viewsView on X
  • Sep 9, 2026122x their median

    Xiaomi 18 Fold vs iPhone Duo 🫪 https://t.co/BtcJkoEGr5

    19K1.3K3513565.2M viewsView on X
  • Sep 21, 202648x their median

    Really surprised to see that I won the elections....

    7.9K4249019136K viewsView on X
  • Sep 12, 202635x their median

    IQ points per watt: Humans: 5 AI: 0.000001

    5.4K32025891515K viewsView on X
  • Aug 28, 202620x their median

    This was recorded 📽️ before the Springboks 🇿🇦 lost to New Zealand. 🇳🇿 The reaction afterwards only reinforced the point. 🙃 New Characters & Campaigns, out now! 🚨 https://t.co/rTnggAvHLK

    2.5K724106122330K viewsView on X
  • Sep 8, 20268.9x their median

    In 2004 Slovakia became the first country in the OECD to introduce a flat tax. A single, simple 19% rate on personal income, corporate profits and VAT. The results were spectacular. Facing a post-communist economy still burdened by high progressive taxes, bureaucracy and slow growth, Prime Minister Mikuláš Dzurinda’s centre-right government swept away the old tax code in one bold move. The reform was part of a larger liberal package: drastic cuts in regulation, privatisation of state firms and a currency-board-style monetary policy. Overnight, Slovakia transformed itself from one of Europe’s most interventionist economies into one of the freest. Foreign direct investment poured in - giants like Volkswagen, Peugeot, and Kia built huge plants - and Slovakia earned the nickname “the Tatra Tiger”. Between 2000 and 2008 real GDP grew at an average of over 6 % per year, unemployment fell sharply and tax revenues actually rose as the economy expanded. The flat tax proved once again that low rates and complexity expand the tax base and reward work, saving and investment. Slovakia’s flat-tax revolution is powerful evidence that radical economic liberalisation works. It shows that when governments stop punishing success and get out of the way, individuals and markets can generate prosperity far faster than any central planner ever could. Today, the Slovak example still speak loudly to why we should aim for lower and simpler taxes. Very few politicians are listening.

    1.1K341375148K viewsView on X
  • Aug 30, 20266.4x their median

    Elon predicted that China is going to win the AI race. And every day makes it look more right. "There's a good chance that they are the leaders at some point." Elon is building the biggest AI cluster in America. He has more money than any human alive, first access to Nvidia's best silicon, and a rocket company he wants to use for putting data centers in orbit. But he still thinks China will win the race. Everybody argues about chips because a chip is a thing you can put a tariff on. Washington has burned four straight years on export controls, entity lists, smuggling busts and levies. Elon says that whole fight is aimed at the wrong bottleneck: The real constraint outside China is power and cooling, and AI chips are already rolling off production lines faster than new electricity comes online. America is about to own more chips than it can plug in. And their models won't save them either: Elon said Anthropic is currently the leader in AI, and that Claude Fable 5 is still clearly the smartest model on Earth. But banning the Chinese models won't save it. Elon pointed out that Congress can stop American firms from touching them, but it has no authority over the other 190 countries, and everybody else keeps reaching for whatever is cheap and good enough. And the power gap isn't close either. China already generates more electricity than the United States, Europe and India COMBINED. Elon's guess is they end up at 4x American production, which is roughly what the population difference implies. Now here's where it gets genuinely bleak... Three companies on this planet build large gas turbines. GE Vernova told analysts in July it's taking reservations for 2031 delivery. So you order the hardware today and wait five years for a truck to show up at the site. Then you get in line for the grid: Lawrence Berkeley National Laboratory found the median American power project completed in 2025 spent over five years just waiting to connect. Roughly 8,200 projects are sitting in that queue right now. Meanwhile China added 336 terawatt hours of new solar generation during 2025 alone. One year of Chinese building beat everything the United Kingdom consumed all year. You can't buy your way to the front of that line. Elon tried and it didn't work. So he quit. In June 2024 his team wheeled 35 mobile gas turbines onto a lot in Memphis and ran a supercomputer off them. Regulators later counted 59 turbines at the plant across the state line. Colossus burns over 500 megawatts of gas now, and he says he wants 20 gigawatts of it by 2027. The richest man on Earth looked at the American grid and built his own power plant instead of waiting for it. That's what the AI race actually looks like in 2026: A fleet of turbines parked on a lot in Memphis because the grid queue runs five years deep. Elon sells solar panels and batteries through Tesla, he badly wants permitting reform, and orbital data centers are his pitch. A power panic is exactly his book. China also burns a staggering amount of coal to post those numbers, and America still holds the smartest model and the best silicon today. But he said one more thing, and it puts a clock on all of it: Elon thinks China is closer than most people realize to solving the lithography problem. Chips are the only thing still holding Beijing back. China's chip problem gets solved in years. America's power problem gets solved in decades, if it gets solved at all. America spent four years fighting over who's allowed to sell China chips. China spent those same four years building the grid to run them. So what happens to every AI company in America the day Beijing stops being chip-starved?

    75120211947864K viewsView on X
  • Aug 17, 20265.9x their median

    AI will do to everyone what the Internet has been doing for 20 years, just more so: it'll make the smart people smarter, and the dumb people dumber. It'll empower those with agency, and turn the slothful into NPCs. No amount of 'alignment' or policy will much change that.

    89585321396K viewsView on X
  • Aug 25, 20265.5x their median

    The technology sector delivered forty consecutive years of price deflation without a single government price-control board, without a central planner in sight, and the economists at the Federal Reserve still cannot explain why their inflation models keep breaking around it. Consider what you actually witnessed. A 1984 Apple Macintosh cost $2,495. By 2005, that money bought you a machine roughly one thousand times more powerful. Gordon Moore's observation about transistor density held because engineers at Intel, AMD, and TSMC competed ferociously to outperform each other. No bureaucrat scheduled the doubling cycle. Free market thinkers predicted exactly this. Capital accumulation, voluntary exchange, and the price system coordinate resources toward consumer wants with a precision no committee replicates. Sectors where government intervenes heavily, healthcare and education, produce relentless price inflation alongside stagnating quality. The technology sector, comparatively free of price regulation, handed you a supercomputer in your pocket for $999. Voluntary exchange rewards the right people for the right discoveries at the right time. Central planning cannot do this.

    687211372424K 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

#ausvrsa

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 175 interactions against 228K followers, an engagement rate of 0.077%. Measured over 22 original posts, its engagement rate beats 54% of 20,183 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 0.819% of those impressions turn into an interaction. That is about 9.38% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.4 post a day over the last 30 days, with activity on roughly 67% of days. Most posts go out around 05:00 UTC, and Saturday is the busiest day of the week. Of the 22 posts sampled, 50% carry an image or video and 18% link out. The account's strongest tracked post pulled 26K interactions, about 149x its own typical post.

What is Michael Jordaan's engagement rate on X?
Michael Jordaan (@MichaelJordaan) has an engagement rate of 0.077%, based on the median interactions across 22 original posts from the last 30 days against 227,763 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.077%, Michael Jordaan sits above the 25th percentile of the 202,259 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 @MichaelJordaan have real engagement?
Its engagement rate beats 54% of the tracked X accounts closest to it in follower count (20,183 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 @MichaelJordaan post?
Most posts go out around 05:00 UTC, and Saturday is its busiest day, at roughly 1.37 posts per day across the measured window.

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