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Bernie engagement report

@Artemisfornow - 131K followers on X

Measured over 36 original posts from a 30-day window, last computed on October 1, 2026.

Engagement

Top 10% for its size
Per follower
1.05%
of 131K followers
Per impression
10.8%
13K views on a typical post
Reach
9.72%
of its followers see a post
Typical post
1.4K
interactions (median)
Saved
0.174%
22 bookmarks on a typical post
Posting rate
2.03/day
active 20% of days
Peak time
16:00 UTC
Sunday

A typical post picks up 1.4K interactions against 131K followers, an engagement rate of 1.05%. Measured over 36 original posts, its engagement rate beats 90% 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 13K times each, and 10.8% of those impressions turn into an interaction. That is about 9.69% 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 20% of days saw any activity at all. Most posts go out around 16:00 UTC, and Sunday is the busiest day of the week. Of the 36 posts sampled, 92% carry an image or video and 11% link out. The account's strongest tracked post pulled 21K interactions, about 15x its own typical post.

Measured over 36 original posts from a 30-day window, last computed on October 1, 2026.

Compared with accounts its own size

Bernie's engagement rate beats 90% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 8 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 97% 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 1.05%, Bernie sits above the 75th percentile of the 205,991 accounts in this comparison. That places it in the top 25% band, which runs 0.68% to 2.56%.

p100.004%
p250.024%
p50 (median)0.143%
p750.68%
p902.56%
p9982.4%
Engagement rate as a share of followers, across the 205,991 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 percentile0.68%
90th percentile2.56%
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 16:00 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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 video92% of posts+111%+108% to +115%34K
Outbound link11% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 92% 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.
  • 11% 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 428 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 26, 202615x their median

    This is an absolute DISGRACE of an article by the BBC! Any white woman who dares to paint her nails in a colour is framed as committing cultural appropriation… and if she has nude nails, or no colour the BBC prints the claim that this can perpetuate “white supremacist standards of beauty”. They actually printed that! So basically, no matter what I do to my NAILS I fail because I’m white? Why should I ever be forced to pay for an organisation that prints stuff like this? https://t.co/oqm3vn4JMN

    17K2.7K8202171.2M viewsView on X
  • Jun 26, 20247.2x their median

    ‼️REPLACEMENT MIGRATION - er … is actually a thing! It turns out that the UN has a “population Division” within its department of Economic and Social Affairs… and it also turns out they have a very large document called “Replacement Migration” Replacement migration refers to the international migration that would be needed to offset declines in the size of a country’s population, of working age citizens, as well as to offset the overall ageing of a population. To keep populations at a constant of 2020 levels by 2050 the number of migrants needed is calculated by the UN computer to be, 674 million (or 13 million per year) for the EU alone. And a total of 1.4 BILLION for Europe. In the UK to keep the population at its 1995 levels it would require 59.8 million migrants between 1995 and 2050, more than 1 million migrants a year. The overall UK population would reach 136 MILLION in 2050, of which 80 million (59 per cent) would be post-1995 migrants or their descendants. That would DOUBLE our population! This modelling document and others is probably what leaders are basing their migration policy on… only they haven’t told you that! They daren’t! The UN is telling you these migrants are “Climate Migrants” & that digital ID and higher tax will solve all the issues. When in reality the undervaluing of women and treating them as tax cash cows, rather than precious mothers has crashed birth rates. What this modelling exercise also fails to explore is the enormous cultural shift including religious ideology that will be forced onto existing citizens, nor does it factor in unrest or civil war from their meddling actions. Their mitigation for this is simply more control (through Digital ID and CBDC) And NOR does it actually discuss these issues with citizens and allow them to choose! ….. or give them an incentive to have more children. Make no mistake, just as with COVID, computer modelling fails entirely to take into account human nature and the backlash against incoming and often vastly different cultures‼️ https://t.co/n2C3aczHAC

    5.7K3.4K332379557K viewsView on X
  • Aug 17, 20267.0x their median

    🔥Hello taxpayers... I've posted alot today about us. I thought you should know that £136 BILLION has been allocated, committed or spent, on Net Zero, decarbonisation and climate policies, in the UK and abroad, so we abide by the UN Agenda 2030. Take a careful look. Then remember this... global carbon emissions are still rising. 🇬🇧 UK ▪️ Carbon Capture Clusters - £21.7 BILLION ▪️ Warm Homes Plan - £15 BILLION ▪️ Sizewell C - £14.2 BILLION ▪️ Great British Energy - £8.3 BILLION+ ▪️ National Wealth Fund (green sectors) - £5.8 BILLION+ ▪️ Net Zero research & innovation - £4.2 BILLION ▪️ DRIVE35 electric vehicles - £4 BILLION ▪️ Small Modular Reactors - £2.5 BILLION+ ▪️ Fusion/STEP - £2.5 BILLION+ ▪️ Boiler Upgrade Scheme - £2.69 BILLION ▪️ Warm Homes finance - £2 BILLION ▪️ Public Sector Decarbonisation - £1.8 BILLION+ ▪️ Heat networks - £1.06 BILLION ▪️ GB Energy supply chains - £1 BILLION ▪️ Net Zero Innovation Portfolio - £1 BILLION ▪️ Public Sector Decarbonisation - £1 BILLION ▪️ EV Rapid Charging Fund - £950 MILLION ▪️ Public Sector Decarbonisation 4 - £940 MILLION ▪️ Automotive Transformation Fund - £850 MILLION ▪️ Tata Steel decarbonisation - £500 MILLION ▪️ Industrial Energy Transformation- £500 MILLION ▪️ Green Heat Networks - £484 MILLION+ ▪️ Clean maritime - £448 MILLION ▪️ Local EV charging - £381 MILLION ▪️ Heat Networks Investment Project - £320 MILLION ▪️ Zero-emission buses - £269 MILLION ▪️ Clean Steel Fund - £250 MILLION ▪️ Net Zero Hydrogen Fund - £240 MILLION ▪️ Sustainable aviation fuels - £219 MILLION ▪️ Schools, NHS & community solar - £200 MILLION ▪️ Advanced Fuels Fund - £198 MILLION ▪️ Floating offshore wind - £160 MILLION ▪️ More zero-emission buses - £142.8 MILLION ▪️ Hydrogen construction support - £90 MILLION+ ▪️ Heat-pump manufacturing - £90 MILLION ▪️ Floating offshore wind Port Talbot -£80 MILLION ▪️ Net-zero waste/F-gas R&D - £75 MILLION+ 🌍 ABROAD ▪️ UK International Climate Finance - £11.6 BILLION ▪️ International Climate Finance period- £6 BILLIONish ▪️overseas climate & nature public finance - £6.7 BILLION ▪️ Overseas energy-transition programmes - £5.7 BILLION ▪️ Green Climate Fund - £1.62 BILLION ▪️ Previous Green Climate Fund contribution - £1.44 BILLION ▪️ Ayrton clean-energy fund - up to £1 BILLION ▪️ Private Infrastructure Development Group - up to £915 MILLION ▪️ Blue Planet Fund - £500 MILLION ▪️ Climate Investment Funds - up to £500 MILLION ▪️ Mitigation Action Facility - £375 MILLION ▪️ DRC sustainable energy - £300.6 MILLION ▪️ Ukraine green-energy programme - £260.4 MILLION ▪️ Mobilising Finance for Forests - £207.7 MILLION ▪️ Forests & sustainable land use - £183.4 MILLION ▪️ Global Risk Financing Programme - £162 MILLION ▪️ UK PACT climate transition programme - £150 MILLION ▪️ Renewable energy in Sub-Saharan Africa - up to £148 MILLION ▪️ COAST climate/ocean programme - £135.4 MILLION ▪️ Climate Public Private Partnership - £130 MILLION ▪️ African Weather & Disaster Risk Pools Programme - £121.8 MILLION ▪️ UK-India Green Growth Equity Fund - £120 MILLION ▪️ ASEAN green finance - £116.3 MILLION ▪️ Amazon Fund (Brazil) - £115 MILLION ▪️ Pakistan climate investment - £108 MILLION ▪️ Nigeria climate-smart farming programme - £97.9 MILLION ▪️ CLARE climate adaptation research - £97.2 MILLION ▪️ Middle East & North Africa low-carbon programme - £76 MILLION ▪️ Eastern Caribbean renewable energy - £63 MILLION ▪️ Green Growth Nepal - £50.8 MILLION ▪️ Colombia forests & sustainable growth - £48.2 MILLION ▪️ Developing-country disaster insurance - £44.6 MILLION ▪️ Sierra Leone solar - £43 MILLION (lol) ▪️ Climate Finance Accelerator - up to £40 MILLION ▪️ DRC climate-smart agriculture - up to £38 MILLION ▪️ Africa Clean Energy Programme - £36.7 MILLION ▪️ Uganda Climate Smart Jobs Programme - £35.8 MILLION ▪️ Sustainable cooling programme (including Rwanda) - £29.1 MILLION ▪️ Tanzania climate-resilient economic programme - £27.5 MILLION ▪️ Pakistan Sustainable Energy & Economic Development - £26.3 MILLION ▪️ Pacific Clean Energy Programme - £23.6 MILLION ▪️ UK-Central Asia Green Inclusive Growth Fund - £17.7 MILLION ▪️ Rwandan tea farmers climate adaptation - £16.3 MILLION ▪️ Indonesia clean-energy transition - £13.5 MILLION+ ▪️ Mozambique agricultural jobs & climate resilience - £5.7 MILLION ▪️ India low-carbon infrastructure cooperation - £4.1 MILLION ▪️ UN Convention to Combat Desertification - £1.58 MILLION And that STILL isn't the whole list. Dont talk to me about saving the planet when you cant even save simple pot holes in the UK. This is a complete piss take of ordinary hard working people and I will NEVER stop telling you about this scam 🔥

    6.2K2.9K335229148K viewsView on X
  • Sep 30, 20266.1x their median

    As a Catholic and a taxpayer I find it offensive that council staff are being taught that Mary wore a hijab. Mary was a first century AD Jewish woman (yes, I still do BC and AD) who probably wore a veil or head covering…. SIX HUNDRED years before Islam emerged. The ‘training’ also teaches that “Jesus grew a beard” as though that somehow proves Islamic customs are compatible with British values. None of this legitimises medieval dress codes as appropriate in modern day Britain. So why am I paying for it?

    6.6K1.5K2116282K viewsView on X
  • Sep 30, 20264.4x their median

    🚨They aren’t even hiding the control of our speech anymore! Lisa Nandy says restrictions for 16-17 year olds is merely a “staging post” towards… “A very active interventionist state, policing and regulating the online space.” (Her words) Now she wants a “public service algorithm”. Meaning interventionist state policing, regulating and nudging what information and speech is allowed! They are actually telling you what’s coming! 🚨

    3.8K1.8K326152144K viewsView on X
  • Sep 29, 20264.4x their median

    🚨Here’s Ang … as I told you yesterday. She now explicitly says empty homes … OWNED PRIVATELY… Will be allowed to be seized by councils. (There are exceptions obvs) And just to put this into context. The following er leftie examples are available. ▪️Bolshevik Russia (Lenin)1917 onwards ▪️Nazi Germany 1933–1945 ▪️Communist China (Mao)1949–1976 ▪️Cuba (Castro) 1959 onwards ▪️Cambodia (Pol Pot) 1975–1979 ▪️Revolutionary France 1789–1790s ▪️Communist Eastern Europe 1945–1950s ▪️North Korea 1946–1958 ▪️Communist Vietnam 1953 onwards ▪️Zimbabwe (Mugabe) 2000 onwards Brilliant plan just brilliant!

    4.2K1.6K24064105K viewsView on X
  • Sep 26, 20263.1x their median

    Er … what have we paid the French over £1.37 BILLION for then? France's interior minister has now told police they cannot intervene in shallow waters to stop migrant boats trying to get to the UK.  He also said that damaging the criminals dinghies is unacceptable 🤷‍♀️ https://t.co/ooxuvjQV0p

    2.9K1.0K2405828K viewsView on X
  • Sep 27, 20262.9x their median

    Why is the public response so different? ▪️ July 2026 - 12 arrests, counter-terror investigation: “credible extreme right-wing terrorism-related threat.” ▪️ Today - arrests on suspicion of explosives offences: “inappropriate to comment further.” I think the public has a right to ask why.

    3.0K862722527K viewsView on X
  • Sep 29, 20262.2x their median

    Er hello? Does the UN think we are stupid? The UN says too many forests are being destroyed at the same time as they demand a faster Net Zero transition! Which er … has ▪️ fuelled a boom in balsa wood from the Amazon for wind turbines ▪️And then there’s the 13km road cut through protected rainforest near the host city of COP30. ▪️Oh and then there were the 17.3 MILLION trees cut down in Scotland for wind turbines ▪️And then there’s the nickel for EV batteries from Indonesia and the loss of 76,000 hectares of forest ▪️But the best example of bollocks is of course DRAX! Which BURNS about 7 MILLION tonnes of wood a year! I could list hundreds more examples but you get the point. Brilliant! destroying forests while demanding everyone stops destroying forests isn’t quite the masterplan they think it is.

    2.1K863562319K viewsView on X
  • Sep 26, 20262.1x their median

    This is NOT bias! It’s disinformation from a news source the government has decided will be your only source of truth. “BBC reported the deaths of 53 “journalists” who were claimed as terrorists by Hamas and other groups. Some of them took part in the Oct 7 attacks and several have been hailed as “martyrs” by their terrorist organisations” I refuse to pay for this organisation!

    2.1K728531918K 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.

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Reading these numbers

A typical post picks up 1.4K interactions against 131K followers, an engagement rate of 1.05%. Measured over 36 original posts, its engagement rate beats 90% 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 13K times each, and 10.8% of those impressions turn into an interaction. That is about 9.69% 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 20% of days saw any activity at all. Most posts go out around 16:00 UTC, and Sunday is the busiest day of the week. Of the 36 posts sampled, 92% carry an image or video and 11% link out. The account's strongest tracked post pulled 21K interactions, about 15x its own typical post.

What is Bernie's engagement rate on X?
Bernie (@Artemisfornow) has an engagement rate of 1.05%, based on the median interactions across 36 original posts from the last 30 days against 130,854 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 1.05%, Bernie sits above the 75th percentile of the 205,991 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 @Artemisfornow have real engagement?
Its engagement rate beats 90% of the tracked X accounts closest to it in follower count (20,444 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 @Artemisfornow post?
Most posts go out around 16:00 UTC, and Sunday is its busiest day, at roughly 2.03 posts per day across the measured window.

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