Politics & activism — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 97% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (4 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 311 comparable posts for this entry, running 3 August 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Recorded under the key clone_source, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
66 measurements spanning 96 days, net -2,991. 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 56,542–60,431 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)
Subscribers
Change
10 Nov 2026, 17:06
56,991
-29
9 Nov 2026, 02:29
57,020
-51
7 Nov 2026, 18:05
57,071
-38
6 Nov 2026, 18:11
57,109
-30
5 Nov 2026, 21:39
57,139
-52
4 Nov 2026, 21:50
57,191
-23
3 Nov 2026, 22:56
57,214
-40
3 Nov 2026, 02:18
57,254
-19
2 Nov 2026, 02:45
57,273
-12
1 Nov 2026, 06:07
57,285
-17
31 Oct 2026, 09:06
57,302
-15
30 Oct 2026, 10:46
57,317
-27
29 Oct 2026, 13:54
57,344
-30
28 Oct 2026, 14:29
57,374
-29
27 Oct 2026, 13:09
57,403
-14
26 Oct 2026, 16:30
57,417
-40
25 Oct 2026, 16:38
57,457
-33
24 Oct 2026, 15:56
57,490
-27
23 Oct 2026, 17:27
57,517
-35
22 Oct 2026, 15:19
57,552
first reading
Engagement
392 posts held, back to 3 August 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 196 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.47%
avg views ÷ 56,991 subscribers
Avg views / post
2,550
105 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
107
of 392 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 10 November 2026
Posts held
392 (3 August 2026 – 10 November 2026)
Views total
267,755
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 12:18 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
≈8,120
Videos
≈2,100
Links
≈6,580
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1h 43m
Average length
1m 02s
Measured directly from 99 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.
Recent posts
Telegram’s own ‘edited’ marker: 17 of 107 posts held from the last 30 days (15.9%) 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).
Wonderful sale right now at earthing, 50% off everything!
EARTHING/Grounding: Reduce inflammation, sleep better, recover faster:
https://www.earthing.com/?rfsn=6528853.01597ca
Peptides? A new way to vaxxinate. 💉
Peptide research and development are funded by a variety of sources, including government agencies & private companies.
Some notable examples include CARB-X, Pfizer, BARDA, Tel Aviv, the Bill & Melinda Gates Foundation.
nicotine agenda? Big tobacco said in 1984 if we get doctors on board the general public will think it's safe since our cigarette sales are dwindling. And guess who owns big tobacco and the doctor certification? Rothschilds.
Dr. Bryan Ardis -> Rugby -> The Harvard Drug Group, LLC -> Watson Pharmaceuticals -> Cardinal Health, Inc. -> Blackrock / Vanguard.
I agree with Matt wholeheartedly.
This is why I have called out Dr. Brian Ardis for pushing nicotine because it’s just another pharmaceutical.
Sometimes he tries to cover by indicating foods that contain natural nicotine compound but for the most part he is selling a pharmaceutical drug synthetically made on his website websites
he’s also conducting mass prescription where he has no patient provider relationships.…
Since we don’t know exactly what is being transferred we cannot ever do a specific “detox”
But in general I would say keep your terrain healthy which requires effort every day in many different ways
From the beginning the TRIAD Aer purifiers took off like a shot because people in the channel were telling other people in the channel that they’re shedding symptoms disappeared after family members who took multiple sh…
To all the fake name, fake picture coward X accounts whining about the @wapo story, who sound pretty jelly of @LauraLoomer…
Hit me back when you’ve got 2 Million followers, travel on Air Force One, speak regularly to POTUS, secure an interview with a head of state across the world, and beat out six other Republicans in a U.S. Congressional primary — TWICE!
Happy Sunday everyone.
Does anyone have a copy or know how I can get a copy of this book called, “Curing With Cayenne” by Sam Biser?
I’ve searched all over the Internet and can’t seem to find it.
If you haven’t figured out by now that my coffee chats are not simple coffee chats… And that somewhere beyond the title, the theme, there are life-saving and very precious pearls of information and bombs of truth…. you’ve been missing a lot
For those who have figured it out, you know it’s worthwhile to watch my coffee chest to the very end end… To pay very close attention
Have a blessed Saturday
The Blue Wave Slaughter Is Not What You Think It Is
Coffee Chat ☕️🩺 With Dr. Jane
https://rumble.com/v7hyt2e-election-results-shuffled-titantic-deck-chairs.html
Showing the 12 most recent of 392 posts we hold for @DrJaneRuby. 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.
Posts edited after publishing
@DrJaneRuby edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
23 October 2026
Most recent edit
23 October 2026
Posts recorded as deleted after publishing
We recorded 1 post on @DrJaneRuby as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
8 November 2026
Most recent seen missing
8 November 2026
Median time before seen missing
32 hours
Seen missing in the last 30 days
1
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 54 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 6 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.
Handles this channel named that no longer answer
Dead references
18
handles named in this channel’s posts, vacant today
Evidenced gone
1
we ourselves saw one of these resolve, at some point
Never seen alive
17
vacant every time we have ever looked
@DrJaneRuby named 18 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
@atrupar named in 1 post, 9 October 2026 – 9 October 2026 · confirmed gone 28 October 2026 (two independent sightings — see how we confirm a dead handle)evidenced
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@seckennedy named in 15 posts, 8 August 2026 – 19 October 2026
@sasha_latypova named in 8 posts, 6 October 2026 – 28 October 2026
@hhsgov named in 5 posts, 8 August 2026 – 9 September 2026
@admin named in 4 posts, 8 August 2026 – 11 August 2026
@delorescannoned named in 3 posts, 3 November 2026 – 5 November 2026
@michael_yon named in 3 posts, 2 September 2026 – 5 September 2026
@belmex9 named in 2 posts, 21 October 2026 – 22 October 2026
@secwar named in 2 posts, 14 August 2026 – 15 August 2026
@ted_macie named in 2 posts, 14 August 2026 – 15 August 2026
@rwalensky named in 2 posts, 14 August 2026 – 15 August 2026
@truthwins52 named in 1 post, 3 November 2026 – 3 November 2026
@phdsansone named in 1 post, 26 October 2026 – 26 October 2026
@graceemilysdad named in 1 post, 22 October 2026 – 22 October 2026
@kimguilfoyle named in 1 post, 19 October 2026 – 19 October 2026
@bujokmr named in 1 post, 4 October 2026 – 4 October 2026
@senronjohnson named in 1 post, 30 September 2026 – 30 September 2026
@us_fda named in 1 post, 8 August 2026 – 8 August 2026
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 22 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Christiane Northrup M.D @drchristianenorthrup · 40,942 Telegram ranks this channel #6 of 79 here — alongside 78 others — read 29 August 2026
Barbara O'Neill @barbara_oneill · 26,584 Telegram ranks this channel #12 of 67 here — alongside 66 others — read 11 September 2026
Dr. Tenpenny @DrTenpenny · 87,500 Telegram ranks this channel #12 of 82 here — alongside 81 others — read 17 August 2026
Dr Naomi Wolf @NaomiWolfDr · 24,646 Telegram ranks this channel #16 of 87 here — alongside 86 others — read 14 September 2026
Dr. Judy Mikovits @dr_judymikovitss · 25,230 Telegram ranks this channel #22 of 82 here — alongside 81 others — read 14 September 2026
COVID VACCINE VICTIMS AND FAMILIES @covid19vaccinevictims · 37,627 Telegram ranks this channel #22 of 69 here — alongside 68 others — read 31 August 2026
Dr Mike Yeadon solo channel @DrMikeYeadonsolochannel · 25,912 Telegram ranks this channel #29 of 89 here — alongside 88 others — read 13 September 2026
Dr. Simone Gold @DrSimoneGold · 78,895 Telegram ranks this channel #32 of 89 here — alongside 88 others — read 18 August 2026
Stew Peters ✝️🇺🇸 @stewpeters · 132,435 Telegram ranks this channel #35 of 73 here — alongside 72 others — read 13 August 2026
The Exposé News (Official) @dailyexpose · 27,479 Telegram ranks this channel #37 of 83 here — alongside 82 others — read 10 September 2026
Lee Merritt MD: FreedomDoc1 @FreedomDoc1 · 24,337 Telegram ranks this channel #42 of 75 here — alongside 74 others — read 16 September 2026
Dr Mike Yeadon @DrMikeYeadon · 26,850 Telegram ranks this channel #42 of 87 here — alongside 86 others — read 11 September 2026
Reignite Democracy @reignitedemocracy · 22,103 Telegram ranks this channel #54 of 74 here — alongside 73 others — read 20 September 2026
Health Ranger @RealHealthRanger · 62,438 Telegram ranks this channel #54 of 82 here — alongside 81 others — read 21 August 2026
David Icke Official Telegram @davidickeofficial · 42,257 Telegram ranks this channel #65 of 80 here — alongside 79 others — read 28 August 2026
Alex Jones @AlexJonesChannel · 27,372 Telegram ranks this channel #74 of 81 here — alongside 80 others — read 10 September 2026
This channel appears in 16 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Dr Jane Ruby” (@DrJaneRuby), 56,991 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/DrJaneRuby.
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.
