Dr Sam is a medically trained doctor who makes health videos. Find me at drsambailey.com. Co-author of the best-selling book "Virus Mania".
Monero (XMR):
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Created
17 December 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Health & wellness — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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 the other topics.
Growth
57 measurements spanning 94 days, net -214. 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 16,256–16,534 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 57
Measured (UTC)
Subscribers
Change
8 Nov 2026, 02:09
16,288
-1
6 Nov 2026, 21:30
16,289
-6
5 Nov 2026, 20:54
16,295
-3
4 Nov 2026, 18:48
16,298
-2
3 Nov 2026, 15:09
16,300
-9
2 Nov 2026, 12:59
16,309
-2
1 Nov 2026, 12:46
16,311
-1
31 Oct 2026, 11:00
16,312
+1
30 Oct 2026, 09:36
16,311
-2
29 Oct 2026, 06:37
16,313
-2
28 Oct 2026, 07:16
16,315
-3
26 Oct 2026, 07:06
16,318
-1
25 Oct 2026, 09:44
16,319
-4
24 Oct 2026, 09:54
16,323
-8
23 Oct 2026, 12:36
16,331
+2
22 Oct 2026, 09:55
16,329
-2
21 Oct 2026, 05:25
16,331
-5
20 Oct 2026, 01:09
16,336
-2
19 Oct 2026, 01:10
16,338
-4
18 Oct 2026, 00:50
16,342
first reading
Engagement
31 posts held, back to 2 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 66 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
50.7%
avg views ÷ 16,288 subscribers
Avg views / post
8,260
3 posts measured
Reaction rate
4.11%
reactions ÷ views · ER floor
Posts in window
3
of 31 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 27 October 2026
Posts held
31 (2 December 2025 – 27 October 2026)
Views total
24,790
Reactions total
1,019
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 16:53 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
190
Videos
17
Links
262
Lifetime counters from Telegram’s own channel header, read 8 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
2m 14s
Average length
1m 07s
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
7,450 reactions across 29 posts, in 17 distinct kinds. The most used accounts for 51.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,822
51.3%
👍
1,538
20.6%
💯
594
7.97%
👏
377
5.06%
🔥
227
3.05%
🙏
174
2.34%
😢
160
2.15%
😁
147
1.97%
❤🔥
86
1.15%
🎉
84
1.13%
🤯
64
0.859%
⚡
54
0.725%
🤔
46
0.617%
😱
34
0.456%
🥰
22
0.295%
🕊
20
0.268%
🤩
1
0.013%
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 29 of the 31 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 7,450 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 2 December 2025 to 27 October 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 3 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
The Dangers of Germ Theory Denialism
What lies behind the label “germ theory denialism”? This video challenges the foundations of germ theory, examines how dissenting views are dismissed as misinformation, and asks why those questioning the established narrative face censorship, slander and financial penalties.
👉 Watch it here
🎉 WE DID IT!
Dr Sam Bailey has a heartfelt message for the thousands of people who rallied behind her and helped bring the NZ$250,000 fundraising campaign to its goal.
After more than six years of legal battles with the Medical Council of New Zealand, Sam and Mark can finally move forward and return to what they love doing — sharing independent health research.
❤️ Thank you to everyone who donated, shared the camp…
I sat down with UK Column for an in-depth interview about my six-year battle with the Medical Council of New Zealand, the legal fight that followed, and the devastating financial consequences.
We discuss what happened, the personal cost of standing by my convictions, and why I’ve had to ask for help to raise NZ$250,000 so I can continue the work I’ve been doing since 2020.
Thanks to your incredible generosity, my f…
In 2020, I chose to speak out about my concerns over the COVID-19 narrative, leaving behind my career as a doctor and television presenter to share my research independently. Since then, I have faced six years of legal battles with the Medical Council of New Zealand, resulting in substantial financial penalties and mounting legal costs that are an enormous burden to face alone. Despite these challenges, I refuse to b…
Could the music we listen to be out of tune with nature? 🌿🎵
What if the shift from 432 Hz to 440 Hz changed more than just the sound of music?
This is one of the fascinating topics explored in our wider conversation about childhood illness, health, and the influences around us.
🎥 Watch the full video for the complete conversation.
India’s High Court virus case has taken a dramatic new turn.
After months of waiting, the State of Chhattisgarh has finally submitted its response — and we’ve analysed the document. What does it actually contain, and why does the response raise more questions than answers?
The next round of legal action is now underway, with international allies joining the case.
👉 Watch the full video to see what the Indian state…
THE SALMONELLA SCAM
Salmonella is routinely blamed for millions of illnesses and thousands of deaths. But when you dig into the historical evidence, some very uncomfortable questions emerge.
What really happened in the infamous 1904 human experiment?
Did researchers actually fulfil Koch’s postulates?
And did vaccines really cause the dramatic decline in typhoid deaths?
In this new video, we follow the evidence back …
What if the most important question isn’t “Do you have CMV?” — but “What evidence do we actually have that CMV is causing the problem?”
In this video, we go down the rabbit hole of CMV — from its origins in virology to modern PCR testing, pregnancy warnings, newborn diagnoses and the drugs used to treat it.
What we found raises some uncomfortable questions about how a “virus” becomes the explanation for illness and…
🧀 **How to Make 2-Ingredient Mozzarella in 28 Minutes**
Think making fresh mozzarella is complicated? This quick how-to video shows you how to make it at home using just **2 ingredients and 28 minutes**.
👉 Watch it here on YouTube
What if the state was never meant to be the foundation of society — but became its ultimate authority? Discover how sovereignty gave the state the power to absorb almost every institution standing in its way.
👉 Watch the full video NOW
The Biggest LIES About Cholesterol
In this new video, Dr Sam Bailey examines the cholesterol narrative, statins, and the evidence behind one of medicine's most enduring beliefs.
🎥 Watch now HERE
❤164👍57👏22❤🔥8🤔2
Signed Sam Bailey
Showing the 12 most recent of 31 posts we hold for @drsambaileyofficial. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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
Named by 7 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Dr. Simon @goddek · 38,367 Telegram ranks this channel #15 of 87 here — alongside 86 others — read 30 August 2026
Dr. Lynn Fynn’s Science Enlightenment Channel & Stuff @DrLynnFynn · 23,907 Telegram ranks this channel #17 of 84 here — alongside 83 others — read 16 September 2026
Mikki Willis Official @OfficialPlandemic · 32,601 Telegram ranks this channel #26 of 85 here — alongside 84 others — read 4 September 2026
Dr Mike Yeadon @DrMikeYeadon · 26,874 Telegram ranks this channel #31 of 87 here — alongside 86 others — read 11 September 2026
Dr Mike Yeadon solo channel @DrMikeYeadonsolochannel · 25,912 Telegram ranks this channel #33 of 89 here — alongside 88 others — read 13 September 2026
Lee Merritt MD: FreedomDoc1 @FreedomDoc1 · 24,345 Telegram ranks this channel #38 of 75 here — alongside 74 others — read 16 September 2026
The Crowhouse @thecrowhouseoffical · 29,247 Telegram ranks this channel #41 of 70 here — alongside 69 others — read 8 September 2026
GreenMedInfo @sayeregengmi · 27,467 Telegram ranks this channel #45 of 81 here — alongside 80 others — read 10 September 2026
Reiner Fuellmich 🇺🇸/🇬🇧/🇦🇺 @ReinerFuellmichEnglish · 83,365 Telegram ranks this channel #56 of 91 here — alongside 90 others — read 18 August 2026
World Doctors Alliance @worlddoctorsalliance · 74,811 Telegram ranks this channel #63 of 88 here — alongside 87 others — read 19 August 2026
This channel appears in 10 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“Dr. Sam Bailey” (@drsambaileyofficial), 16,288 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/drsambaileyofficial.
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.