Health & wellness — 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 10 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 word for word 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 (1 of the pairs behind the counts below)
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 36 comparable posts for this entry, running 4 August 2026 to 7 August 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).
Across the whole group of 2, the earliest publisher we hold is @miteinander_mutig_sein — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 8 August 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.
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.
58 measurements spanning 92 days, net -450. 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 26,994–27,589 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)
Subscribers
Change
6 Nov 2026, 02:20
27,063
-10
4 Nov 2026, 22:14
27,073
-12
4 Nov 2026, 00:58
27,085
-4
3 Nov 2026, 00:54
27,089
-16
1 Nov 2026, 21:39
27,105
-19
31 Oct 2026, 18:28
27,124
-5
30 Oct 2026, 15:16
27,129
-4
29 Oct 2026, 13:37
27,133
-1
28 Oct 2026, 11:36
27,134
-11
27 Oct 2026, 09:27
27,145
-7
26 Oct 2026, 11:49
27,152
+1
25 Oct 2026, 09:21
27,151
-9
24 Oct 2026, 10:56
27,160
-3
23 Oct 2026, 11:57
27,163
-7
22 Oct 2026, 11:38
27,170
-7
21 Oct 2026, 04:37
27,177
-6
20 Oct 2026, 04:56
27,183
-10
19 Oct 2026, 07:16
27,193
+6
18 Oct 2026, 09:01
27,187
-9
17 Oct 2026, 05:46
27,196
first reading
Engagement
615 posts held, back to 4 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 141 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.77%
avg views ÷ 27,063 subscribers
Avg views / post
1,830
220 posts measured
Reaction rate
1.68%
reactions ÷ views · ER floor
Posts in window
220
of 615 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. It is computed over the 219 of 220 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 5 November 2026
Posts held
615 (4 August 2026 – 5 November 2026)
Views total
402,804
Reactions total
6,727
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 04:03 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
≈13,700
Videos
≈9,940
Links
≈27,900
Lifetime counters from Telegram’s own channel header, read 6 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
16h 38m
Average length
6m 17s
Measured directly from 159 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
20,152 reactions across 595 posts, in 43 distinct kinds. The most used accounts for 23.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4,664
23.1%
👍
4,254
21.1%
🔥
2,365
11.7%
🤮
1,551
7.70%
💯
1,519
7.54%
🤬
1,098
5.45%
😢
882
4.38%
😈
787
3.91%
🙏
660
3.28%
👏
436
2.16%
😱
246
1.22%
💩
232
1.15%
😭
221
1.10%
👎
167
0.829%
😡
151
0.749%
🤯
102
0.506%
🙈
96
0.476%
🤣
96
0.476%
⚡
93
0.461%
🕊
89
0.442%
23 further kinds
443
2.20%
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 609 of the 615 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 20,687 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 615 most recent posts we hold, published 4 August 2026 to 5 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.
Advertising
Ad load
0.163%
1 of 615 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
2,270
over 1 measured post
Median views · rest
1,760
over 614 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Measured over the 615 most recent posts we hold, published 4 August 2026 to 5 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Recent posts
Telegram’s own ‘edited’ marker: 4 of 220 posts held from the last 30 days (1.82%) 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).
🚨 BLACK WEEKS BEI HEILNATURA - UNGLAUBLICHE 50% RABATT: SIE KÖNNEN DIE ZEIT NICHT ZURÜCKDREHEN - ABER SIE KÖNNEN HEUTE IHRE ZUKUNFT VERÄNDERN!
Der Alterungsprozess beginnt auf Zellebene – und genau dort setzt NRPlus von Heilnatura an.
Mit der gezielten Aktivierung der NAD⁺-Produktion unterstützen Sie Ihre Zellen dabei, länger jung, aktiv und leistungsfähig zu bleiben.
🧬 Wissenschaftlich bestätigt:
Laut einer Stud…
Ganze 30 Sekunden lang ist der Skandal-X-Beitrag des Paul-Ehrlich-Instituts. Für seit Jahren leidende Opfer samt Angehörigen und Trauernden eine unfassbare Anmaßung. Das PEI möchte fünf Jahre nach dem "Impf-Desaster" darauf hinweisen, dass "Nebenwirkungen" bitte nicht "ignoriert werden" sollten.
Von Bernhard Loyen
https://de-rt.com/meinung/296871-jahre-zu-spaet-pei-sich/
🌟Abonniere rtde.unzensiert.ru/
📺 Live TV: li…
3 Fachärzte – 1 gemeinsames Ziel: Das Genfer Gelöbnis verteidigen. 🩺
Heinrich Habig, Dr. med. Ronny Weikl und Dr. med. Carola Javid-Kistel haben den Schutz ihrer Patienten konsequent über bürokratische Vorgaben gestellt.
Erfahren Sie beim 8. AfA Bürgerforum am 28. November 2026 im Raum Rüsselsheim, wie die juristische Aufarbeitung der Coronazeit aktuell verläuft und wie der Rechtsstaat gestärkt werden kann.
🎟 Jetz…
⭕️⭕️⭕️ »𝐖𝐚𝐡𝐫𝐡𝐞𝐢𝐭 𝐛𝐫𝐚𝐮𝐜𝐡𝐭 𝐡𝐞𝐮𝐭𝐳𝐮𝐭𝐚𝐠𝐞 𝐌𝐮𝐭 - 𝐁𝐞𝐤𝐞𝐧𝐧𝐞𝐫𝐦𝐮𝐭. 𝐔𝐧𝐝 𝐠𝐞𝐧𝐚𝐮 𝐌𝐮𝐭, 𝐳𝐞𝐢𝐠𝐞 𝐢𝐡𝐧! 𝐃𝐞𝐫 𝐖𝐚𝐡𝐫𝐡𝐞𝐢𝐭 𝐢𝐧𝐬 𝐀𝐮𝐠𝐞 𝐬𝐞𝐡𝐞𝐧
𝑾𝒆𝒍𝒕𝒘𝒆𝒊𝒕 𝒘𝒊𝒓𝒅 𝒂𝒏 𝒅𝒆𝒏 𝒇𝒂𝒕𝒂𝒍𝒆𝒏 𝑭𝒐𝒍𝒈𝒆𝒏 𝒅𝒆𝒓 𝑺𝒑𝒊𝒌𝒆-𝑷𝒓𝒐𝒕𝒆𝒊𝒏𝒆 𝒈𝒆𝒇𝒐𝒓𝒔𝒄𝒉𝒕 -
𝒖̈𝒃𝒆𝒓𝒂𝒍𝒍, 𝒏𝒖𝒓 𝒏𝒊𝒄𝒉𝒕 𝒊𝒏 𝑫𝒆𝒖𝒕𝒔𝒄𝒉𝒍𝒂𝒏𝒅
Dr. med. Klaus Roman Hör (Waldmünchen) - 3. November 2026«
🔹 Totschweigen im Mainstream mit Methode
🔹 Staatsmedien verkaufen ihre Konsumenten für dumm: Folge ist die Abwendung vom ÖRR -Zwangsmedien
🔹 Spike-P…
Noch 8 Wochen bis zum neuen Jahr! Aber warum so lange warten, um etwas für dich zu tun?
Kennst du das? „Ab Januar bewege ich mich mehr, achte besser auf meine Gesundheit und nehme mir endlich mehr Zeit für mich selbst.“
Doch wer sagt eigentlich, dass wir dafür ein neues Jahr brauchen? 😊
👀 Deine Augen, dein Körper und dein Wohlbefinden verdienen schon heute deine Aufmerksamkeit!
Und genau dafür gibt es jetzt noch ein…
🎬 WARUM ICH – Wolf D. Kroll kommt nach Werder!
Ein bewegender Abend in Taucha liegt hinter uns! 💚
Am vergangenen Freitag machte unsere Filmtour mit „WARUM ICH – Wolf D. Kroll“ Station in Taucha. Ursprünglich sollte der Film im CT LICHTSPIELE TAUCHA laufen. Mehr als sechs Monate haben wir nichts unversucht gelassen – leider ohne Erfolg.
Dank Roger Liesaus konnten wir schließlich gleich zwei ausverkaufte Vorstellung…
USA nehmen „Threat X“ offiziell auf die Pandemie-Agenda – während die EU bereits Impfstoffe für eine Krankheit vorbereitet, die noch niemand kennt
Eine neue Pandemie steht nicht fest, ein konkreter Erreger ist nicht bekannt – und dennoch bereiten sich die Gesundheitsbehörden der USA und Europas bereits auf die Entwicklung entsprechender Impfstoffe vor. Am…
https://uncutnews.ch/usa-nehmen-threat-x-offiziell-auf-die-…
Ich bin müde Boss... 😔
Offenbar wirbelte ein 34 Sekunden langer Bericht des WDR über diese Missstände ne Menge Staub auf, in welchem die Rede von 103 in "Jugendhilfe" Institutionen verstorbenen und suizidierten Kindern innerhalb von vier Jahren ist.
👉 https://www1.wdr.de/mediathek/audio/wdr-audios/audio-tote-kinder-in-jugendhilfe-ursachen-nicht-systematisch-erfasst-100.html
Nach Adam Rise sind das zwei tote Kinder…
𝐑𝐨𝐥𝐟 𝐊𝐫𝐨𝐧: 𝐀𝐮𝐟 𝐝𝐞𝐦 𝐖𝐞𝐠 𝐳𝐮 𝐕𝐞𝐫𝐧𝐞𝐭𝐳𝐮𝐧𝐠 𝐮𝐧𝐝 𝐝𝐞𝐦 𝐠𝐫𝐨ß𝐞𝐧 𝐙𝐢𝐞𝐥 𝐞𝐢𝐧𝐞𝐬 𝐢𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥𝐞𝐧 𝐀̈𝐫𝐳𝐭𝐞𝐧𝐧𝐞𝐭𝐳𝐰𝐞𝐫𝐤𝐞𝐬
Rolf Kron, Arzt und Initiator der Mutärzte-Tagungen, sprach am 17. Oktober 2026 beim Treffen des Mutärzte-Bündnisses in Fahrenbach über sein zentrales Anliegen:
„𝑾𝒊𝒓 𝒘𝒆𝒓𝒅𝒆𝒏 𝒖𝒏𝒔 𝒗𝒆𝒓𝒏𝒆𝒕𝒛𝒆𝒏 – 𝒏𝒂𝒕𝒊𝒐𝒏𝒂𝒍 𝒖𝒏𝒅 𝒊𝒏𝒕𝒆𝒓𝒏𝒂𝒕𝒊𝒐𝒏𝒂𝒍. 𝑫𝒂𝒛𝒖 𝒃𝒓𝒂𝒖𝒄𝒉𝒆𝒏 𝒘𝒊𝒓 𝑬𝒖𝒓𝒆 𝑯𝒊𝒍𝒇𝒆!“
Sein Appell richtet sich vor allem an
🤠 Vertreter von Ärztegruppen,
🤠 Th…
𝗞𝗲𝗻𝗻𝗲𝗱𝘆𝘀 𝗞𝗲𝗵𝗿𝘁𝘄𝗲𝗻𝗱𝗲:💊𝗝𝗲𝘁𝘇𝘁 𝗯𝗲𝗳𝘂̈𝗿𝘄𝗼𝗿𝘁𝗲𝘁 𝗲𝗿 𝗿𝗶𝘀𝗸𝗮𝗻𝘁𝗲 𝗠𝗲𝗱𝗶𝗸𝗮𝗺𝗲𝗻𝘁𝗲 𝘂𝗻𝗱 𝗜𝗺𝗽𝗳𝘂𝗻𝗴𝗲𝗻
Neue Entscheidungen des US-Gesundheitsministeriums unter Robert F. Kennedy Junior sorgen für Aufsehen. So sollen auffällige Warnhinweise auf Östrogenpräparaten für Frauen in den Wechseljahren gestrichen werden. Dabei geht es um Risiken wie Brustkrebs, Herz-Kreislauf-Erkrankungen und Demenz. Die Warnungen in schwarzen Kästen sollen verschwi…
👎39🤮25🤬12🤔11🍌3❤2😢2👀1
Showing the 12 most recent of 615 posts we hold for @miteinander_mutig_sein. 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 40 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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
3
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
3
vacant every time we have ever looked
@miteinander_mutig_sein named 3 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@drbines_verbales_vitrio named in 4 posts, 4 October 2026 – 7 October 2026
@verbotene_wahrheit named in 2 posts, 26 October 2026 – 3 November 2026
@verborgene_wahrheit named in 1 post, 26 October 2026 – 26 October 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 11 September 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.
Rolf Kron - Ärzte stehen auf Offizieller Kanal @Rolf_Kron · 43,831 Telegram ranks this channel #7 of 80 here — alongside 79 others — read 28 August 2026
Sören Schumann - Gesundheit Ganzheitlich @soeren_schumann · 59,976 Telegram ranks this channel #10 of 69 here — alongside 68 others — read 22 August 2026
Kanal Rechtsanwalt Dirk Sattelmaier @rasattelmaier · 38,425 Telegram ranks this channel #11 of 75 here — alongside 74 others — read 31 August 2026
RA Ludwig - Querdenkeranwalt @RA_Ludwig · 63,019 Telegram ranks this channel #17 of 79 here — alongside 78 others — read 21 August 2026
Anwälte-für-Aufklärung @Anwaelte_fuer_Aufklaerung · 47,927 Telegram ranks this channel #30 of 80 here — alongside 79 others — read 26 August 2026
Die WAHRsager – Wissen bewegt! @derwahrsagerwissenbewegt · 54,749 Telegram ranks this channel #30 of 70 here — alongside 69 others — read 23 August 2026
Tom Lausen ‼️❗️original Datenanalyst @TomLausen · 45,189 Telegram ranks this channel #51 of 82 here — alongside 81 others — read 27 August 2026
MICHAEL WENDLER 🚨 & TEAM @michaelwendlerlive · 39,874 Telegram ranks this channel #60 of 69 here — alongside 68 others — read 29 August 2026
🇩🇪 Aktivist Mann & Team #Deutschland #Germany #activistman @aktivistmann · 23,435 Telegram ranks this channel #61 of 66 here — alongside 65 others — read 17 September 2026
Ignaz Bearth offiziell @ignazbearth · 32,456 Telegram ranks this channel #75 of 78 here — alongside 77 others — read 4 September 2026
▫️Rechtsanwältin Beate Bahner @rechtsanwaeltin_beate_bahner · 81,937 Telegram ranks this channel #76 of 85 here — alongside 84 others — read 18 August 2026
This channel appears in 11 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“Dr. med. Carola Javid- Kistel MITEINANDER MUTIG SEIN- ÄRZTE STEHEN AUF FÜR PATIENTEN.....🙏❤” (@miteinander_mutig_sein), 27,063 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/miteinander_mutig_sein.
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.