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 12 September 2026 and assigned it the closest of 31 fixed categories, at 60% 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
26 measurements spanning 94 days, net -228. 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 6,327–6,623 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)
Subscribers
Change
9 Nov 2026, 00:20
6,361
-5
6 Nov 2026, 02:42
6,366
-9
3 Nov 2026, 01:06
6,375
-3
31 Oct 2026, 01:17
6,378
-10
27 Oct 2026, 14:49
6,388
-7
24 Oct 2026, 19:07
6,395
-10
21 Oct 2026, 22:20
6,405
-2
18 Oct 2026, 20:47
6,407
-3
16 Oct 2026, 01:56
6,410
-4
13 Oct 2026, 06:05
6,414
-23
6 Oct 2026, 20:18
6,437
-14
29 Sept 2026, 11:00
6,451
-30
15 Sept 2026, 19:58
6,481
-3
12 Sept 2026, 12:00
6,484
-14
8 Sept 2026, 06:21
6,498
-11
3 Sept 2026, 09:22
6,509
-9
31 Aug 2026, 00:43
6,518
-12
28 Aug 2026, 10:04
6,530
-2
25 Aug 2026, 07:12
6,532
-14
22 Aug 2026, 06:17
6,546
first reading
Engagement
44 posts held, back to 31 May 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 14 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
23.1%
avg views ÷ 6,361 subscribers
Avg views / post
1,470
5 posts measured
Reaction rate
1.31%
reactions ÷ views · ER floor
Posts in window
5
of 44 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 3 November 2026
Posts held
44 (31 May 2026 – 3 November 2026)
Views total
7,337
Reactions total
96
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 13:06 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
Video runtime
1h 25m
Average length
3m 44s
Measured directly from 23 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
827 reactions across 44 posts, in 20 distinct kinds. The most used accounts for 21.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
174
21.0%
🙏
153
18.5%
❤
152
18.4%
👏
59
7.13%
😈
53
6.41%
🤣
40
4.84%
😁
36
4.35%
🔥
35
4.23%
⚡
30
3.63%
🤡
29
3.51%
🤔
21
2.54%
💯
18
2.18%
🤩
9
1.09%
🥴
8
0.967%
🎃
3
0.363%
😢
3
0.363%
🌚
1
0.121%
👌
1
0.121%
🤗
1
0.121%
🥰
1
0.121%
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 44 of the 44 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 827 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 31 May 2026 to 3 November 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 5 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).
Dr. Jill Malone just revealed a statistic the media will never tell you.
“Children who grow up drinking raw milk have about 30% less allergies and asthma.”
And the true risks associated with it are far smaller than you think.
“There are about 1,000 cases of salmonella or listeria infections annually in the United States.”
“Those are acute infections… from drinking raw milk.”
“And one can protect themselves by ma…
As AIs study us, you should study them. Watch the videos they make with your prompts and learn their perspective on us and how it differs from us in "reality". I find it a very interesting and illuminating exercise.
@DrJessicaRose
This unredacted version shows that they knew that the T7 promoter was the only promoter required for manufacturing using the Process 2 plasmid/E. Coli system. Why was T7 kept redacted? Weird.
They admit that eukaryotic SV40 promoter can be used to express the kan gene but it's NOT required to do so, and shouldn't have been in the plasmid since it's a mammalian promoter! What if it got into mammalian cells? They grab…
A theory of consciousness deriving spacetime - And why it probably means that AI will never be a true threat as a god, of sorts.
"In terms of this place where we dwell, I think it would be cool to tweak the parameters of the headset, but I think it would be even cooler to remove the headset altogether. I think the point of being here is to outgrow it."
https://jessicar.substack.com/p/a-theory-of-consciousness-derivi…
I have to wonder what the AIs "think" of all of these movies we've made that they're being asked to alter. They must have some very strange impressions of us.
@DrJessicaRose
In some people, yes. But it is 100% guaranteed that the "molecules" will not get fatigued prior to clonal exhaustion and cell destruction kicks in. Foreign nucleic acids in the cytoplasm of cells is hell-fire to the cell.
@DrJessicaRose
Kid gangs can be very dangerous. He should have faced them with lunatic-mode or ran.
@DrJessicaRose
👍7
Showing the 12 most recent of 44 posts we hold for @DrJessicaRose. 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 9 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 John B. @DrJohnB · 21,069 Telegram ranks this channel #8 of 85 here — alongside 84 others — read 23 September 2026
Lara Logan @NoAgendaLara · 25,597 Telegram ranks this channel #14 of 84 here — alongside 83 others — read 13 September 2026
Steve Kirsch Channel @stkirsch · 18,815 Telegram ranks this channel #18 of 88 here — alongside 87 others — read 3 October 2026
Dr Mike Yeadon @DrMikeYeadon · 26,850 Telegram ranks this channel #22 of 87 here — alongside 86 others — read 11 September 2026
Dr. Judy Mikovits @dr_judymikovitss · 25,230 Telegram ranks this channel #23 of 82 here — alongside 81 others — read 14 September 2026
Covid Vaccine Injuries @covid_vaccine_injuries · 24,560 Telegram ranks this channel #25 of 73 here — alongside 72 others — read 14 September 2026
Dr David Martin @DrDavidMartin · 49,760 Telegram ranks this channel #28 of 82 here — alongside 81 others — read 25 August 2026
World Council for Health @wch_org · 33,944 Telegram ranks this channel #30 of 87 here — alongside 86 others — read 2 September 2026
Christiane Northrup M.D @drchristianenorthrup · 40,942 Telegram ranks this channel #30 of 79 here — alongside 78 others — read 29 August 2026
Robert W Malone, MD @RWMaloneMD · 103,075 Telegram ranks this channel #36 of 89 here — alongside 88 others — read 15 August 2026
Dr. Lynn Fynn’s Science Enlightenment Channel & Stuff @DrLynnFynn · 23,881 Telegram ranks this channel #37 of 84 here — alongside 83 others — read 16 September 2026
Dr. Simon @goddek · 38,268 Telegram ranks this channel #39 of 87 here — alongside 86 others — read 30 August 2026
Lee Merritt MD: FreedomDoc1 @FreedomDoc1 · 24,337 Telegram ranks this channel #40 of 75 here — alongside 74 others — read 16 September 2026
Health Nut News/Erin Elizabeth @erinhealthnutnews · 20,595 Telegram ranks this channel #41 of 81 here — alongside 80 others — read 24 September 2026
Independent Medical Alliance @IMA_Health · 30,966 Telegram ranks this channel #48 of 89 here — alongside 88 others — read 5 September 2026
Children’s Health Defense @childrenshd · 52,345 Telegram ranks this channel #49 of 91 here — alongside 90 others — read 24 August 2026
LAURA LOOMER @loomeredofficial · 19,237 Telegram ranks this channel #65 of 83 here — alongside 82 others — read 1 October 2026
This channel appears in 17 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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“Jessica Rose” (@DrJessicaRose), 6,361 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/DrJessicaRose.
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.