Religion — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 21 September 2026 and assigned it the closest of 31 fixed categories, at 78% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
6 measurements spanning 36 days, net -7. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 527–536 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Sept 2026, 19:40
528
-1
3 Sept 2026, 00:56
529
-2
21 Aug 2026, 10:45
531
-3
14 Aug 2026, 14:08
534
-1
7 Aug 2026, 04:47
535
no change
7 Aug 2026, 04:35
535
first reading
Engagement
20 posts held, back to 2 February 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 25 October 2024. An engagement rate over an empty window would be a number about nothing.
Reaction mix
54 reactions across 14 posts, in 4 distinct kinds. The most used accounts for 55.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
30
55.6%
❤
17
31.5%
🔥
5
9.26%
⚡
2
3.70%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 14 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 54 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 2 February 2024 to 25 October 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Understanding science is key to advocating for yourself and your family.
What are your biggest pain points with learning, reading, and evaluating science?
What do you think would help you more effectively advocate for your health?
🚨Announcing...
The Still in the Storm Podcast
At the intersection of Christianity and science.
➡️ Episode #1 is live now.
You can listen on Substack or wherever you get your podcasts (I think).
https://mikedonio.substack.com/p/introducing-the-still-in-the-storm
I hope it blesses you 🙏🏼
An Unexpected Journey
Covid launched many of us on an unexpected journey.
It has been 3 years since I lost my job for declining to take the jab.
I am now finally looking to move forward.
What I'm sharing with you today is part journey, part testimony.
I hope it will bless and inspire you.
To read the article go to the link below 👇
https://mikedonio.substack.com/p/an-unexpected-journey
My latest article may get me burnt but, I think the message is so important that I had to put it out anyway.
I hope it blesses you.
https://mikedonio.substack.com/p/the-parable-of-the-firemen
"What we've seen [is] a massive investment into genomic technologies with RNA therapeutics, CRISPR therapeutics, gene-editing technologies. That plays with the thinking around transhumanism and when you look at the history of genomics...you see eugenics mixed in there." Senior Research Scientist Mike Donio of MikeDonio.Substack.com and ScienceDefined.com 🧬
🔗 https://geopoliticsandempire.com/2024/08/26/donio-covid198…
What is true of human life is a representation of something much higher, Divine life.
In this week's article, I'm looking at the parallels between inherited traits and bearing the Lord's image.
I hope you find it uplifting.
https://open.substack.com/pub/mikedonio/p/the-expression-of-life
Life Begets Life
My latest article tackles a big subject.
Life.
You don’t want to miss it.
Read it now at the link below 👇
https://mikedonio.substack.com/life-begets-life
I’m creating a free email course on reading scientific papers. It’s going to be a challenge of sorts.
Which length do you think would be optimal for successful completion?
5-7 days54%
15 days13%
30 days27%
Other (comments)7%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Do you see value in learning science to more effectively self advocate for your health?
Yes88%
No9%
Other (comment)3%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Signed Mike Donio
Showing the 12 most recent of 20 posts we hold for @scientistsforhealthfreedom. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Polls
The 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
I’m creating a free email course on reading scientific papers. It’s going to be a challenge of sorts.
Which length do you think would be optimal for successful completion?
5-7 days54%
15 days13%
30 days27%
Other (comments)7%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 20 most recent posts we hold, published 2 February 2024 to 25 October 2024. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 11 September 2026 — this
entry's latest reading, not the date you are reading this.
“Scientists for Health Freedom” (@scientistsforhealthfreedom), 528 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/scientistsforhealthfreedom.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.