Offizieller deutscher Telegram-Kanal von Dr. Michael Nehls. Hier postet auch das Team Nehls (tn). Persönliche Nachrichten von Dr. Nehls werden mit (mn) gekenzeichnet.
Webseite: https://www.michael-nehls.de
Created
Between 1 March 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 11 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
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.
Views per post sit far above this size band
23,000 average views per post against 31,920 subscribers — an engagement rate of 72.1%. Across the 21,435 registered channels in the same cohort — 31,623–99,981 subscribers — the middle half sit between 2.98% and 16.3%, with a median of 7.43%.
What this was computed from
Window
30 days (13 July 2026 – 12 August 2026)
Posts measured
8 of 8 published in the window (0 exact, 8 rounded by Telegram)
Views totalled
184,050
Mature posts only
72.1% over 8 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 12 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.
Growth
8 measurements spanning 6 days, net +9. 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 31,905–31,924 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Aug 2026, 23:52
31,920
-2
10 Aug 2026, 23:31
31,922
+1
9 Aug 2026, 21:58
31,921
+5
9 Aug 2026, 00:52
31,916
+8
8 Aug 2026, 01:07
31,908
+1
7 Aug 2026, 04:01
31,907
-2
6 Aug 2026, 04:50
31,909
-2
6 Aug 2026, 02:47
31,911
first reading
Engagement
21 posts held, back to 3 June 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 17 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
72.1%
avg views ÷ 31,920 subscribers
Avg views / post
23,000
8 posts measured
Reaction rate
1.13%
reactions ÷ views · ER floor
Posts in window
8
of 21 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 7 August 2026
Posts held
21 (3 June 2026 – 7 August 2026)
Views total
184,050
Reactions total
2,083
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Aug 2026, 21:18 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
365
Videos
102
Links
560
Lifetime counters from Telegram’s own channel header, read 12 August 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 58s
Average length
2m 58s
Measured directly from 1 video 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
4,643 reactions across 20 posts, in 16 distinct kinds. The most used accounts for 42.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,980
42.6%
❤
1,497
32.2%
👏
540
11.6%
🔥
273
5.88%
🙏
166
3.58%
🙈
55
1.18%
🏆
37
0.797%
🫡
24
0.517%
🤬
20
0.431%
🤔
18
0.388%
😭
12
0.258%
👎
8
0.172%
😢
6
0.129%
🥰
5
0.108%
⚡
1
0.022%
🤩
1
0.022%
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 21 of the 21 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 4,750reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 3 June 2026 to 7 August 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.
RFK Jr. wollte von mir wissen, welches Lithium er nehmen soll
Meine Reise in die USA – zu Dell Bigtree, Robert F. Kennedy Jr. und Tucker Carlson
🟢 Zur Live-Premiere (07.08. ab 19 Uhr)
In diesem Video spreche ich über meine Reise in die USA – zu Dell Bigtree, Robert F. Kennedy Jr. und Tucker Carlson – und über den aktuellen Stand meiner Arbeit zur Essentialität von Lithium.
〰️
🟩 Jetzt Newsletter abonnieren.
🟩 Kana…
Tatort Briefkasten: Angst vor essentiellem Lithium als Spendenmasche?
Zum Spendenbrief der Deutschen Hirnliga e.V.
🟢 Zur Live-Premiere (31.07. ab 19 Uhr)
Ich nehme einen aktuellen Spendenbrief der Deutschen Hirnliga e.V. auseinander, der vor der Einnahme von Lithium warnt – und zeige, welche entscheidende Information darin bewusst fehlt.
„Tatort Telefon" ist vielen als Präventionskampagne der Polizei gegen Enkeltr…
Erstmals in der Geschichte der FDA: Behörde räumt Kindertote durch Corona-Impfung ein
„Man weiß nicht, ob wir überhaupt Leben gerettet haben"
Wann werden die dafür in Deutschland Verantwortlichen zur Rechenschaft gezogen – und die Ärzte, die sich dem widersetzt haben, endlich rehabilitiert und für ihren Mut geehrt?
〰️
🟩 Jetzt Newsletter abonnieren.
🟩 Kanal abonnieren: @MichaelNehls (tn)
Chatkontrolle 2.0: Das Ende verschlüsselter Nachrichten & KI bald nicht mehr abschaltbar?
Dr. Nehls im Gespräch mit Holger Brück
🟢 Zur Live-Premiere (24.07. ab 19 Uhr)
Chatkontrolle, künstliche Intelligenz und die Frage der digitalen Souveränität: Ein Jahr nach unserem ersten Gespräch spreche ich erneut mit Holger Brück, Softwareentwickler und Gründer von Liberty Lab, über die zunehmende Totalüberwachung im digital…
Klimalüge, Kriegstreiberei, Vertuschung: Prof. Wiesendanger rechnet ab
Dr. Nehls präsentiert einen Vortrag von Prof. Roland Wiesendanger
🟢 Zum Video
Prof. Roland Wiesendanger hielt am 17. Juni 2026, am mittlerweile traditionellen Tag der Freiheit, auf Burg Hardegsen einen Festvortrag, der weit über die Frage nach dem Ursprung der Corona-Pandemie hinausreicht.
Er zeigt: Bereits Anfang 2020 gingen MI6 und BND von ei…
Der Comic von 2011, der Corona vorwegnahm
Dr. Nehls im Gespräch mit Dr. Wolfgang Wodarg
🟢 Zur Live-Premiere
Dr. Wolfgang Wodarg deckte 2009 die Schweinegrippe als konstruierte Pandemie auf. Anfang 2020 stellte er als einer der ersten Mediziner öffentlich die Verhältnismäßigkeit der Corona-Maßnahmen infrage. Im Gespräch geht es um die Frage, was sich seitdem verändert hat – und was nicht.
Wir sprechen über das Ges…
Betreff: Können 100 Ärzte lügen? – Heute entscheidet ihr! 10.000 Views bis heute Abend!
Heute brauchen wir unsere Community: Jeder Aufruf, jeder Daumen hoch, jeder Kommentar und jede Weiterleitung zählt!
▶️ HIER GEHT'S ZUM VIDEO:
https://youtu.be/p_lCkITbswM
Liebe Community,
heute brauchen wir euch!
„Können 100 Ärzte lügen?“ nimmt am Telegram Digital Freedom Contest teil. Damit der Beitrag überhaupt in die Wertung k…
Ich konfrontierte Drosten und Spahn
Hintergründe aus der Enquete-Kommission
🟢 Zum Clip
Fünf Minuten Zeit: Das ist bisher das Maximum dessen, was uns, die wir an Aufklärung interessiert sind, von der Regierung an Chancen zugestanden wird.
Im Gespräch mit Ben Berndt gebe ich einen Einblick hinter die Kulissen um zu verdeutlichen, wie eng dieses Format, das ich einige Monate aus erster Hand erlebt habe, gesteckt ist.…
Das größte organisierte Verbrechen
Dr. Nehls im Gespräch mit Prof. Bhakdi und Dr. Sterz
🟢 Zum Video (Live-Premiere am 10.07. ab 19 Uhr)
Prof. Sucharit Bhakdi, Ehrenvorsitzender der MWGFD, gehört zu den Ersten, die öffentlich vor der Coronapolitik und den mRNA-Impfstoffen gewarnt haben. In dem neuen Buch „mRNA-Impfungen: Das größte organisierte Verbrechen gegen die Menschheit", das er gemeinsam mit dem MWGFD-Mitglie…
🚫Vorsicht, ein gefälschter Kanal!
Der nachfolgend verlinkte Telegram-Kanal wird NICHT von Dr. Michael Nehls betrieben und wurde von ihm auch NICHT legitimiert: https://t.me/DrMichaelNehls
Bitte helfen Sie, indem Sie diesen Beitrag teilen und den Fake-Kanal melden! Wie das geht: Besuchen Sie den Fake-Kanal, wählen Sie oben rechts die drei Punkte und wählen Sie dann "Melden".
〰️
🟩 Mein jüngstes Buch: Das Lithium-Kom…
The Secret Cure to Alzheimer’s, Depression, Anxiety and Why Big Pharma Has Kept It Hidden
Mein zweites Tucker Carlson Interview
🟢 Zum Interview (Englisch)
Zum zweiten Mal war ich zu Gast bei Tucker Carlson – das Interview ist jetzt online. Wer kein Englisch hören möchte: eine automatisch generierte deutsche Tonspur und Untertitel lassen sich bei YouTube in den Spracheinstellungen (siehe Zahnrad) aktivieren.
Das Ge…
Kafkaeske Zustände in der Enquete-Kommission vom 11. Juni | Mauern in Endlosschleife
Dr. Nehls im Gespräch mit Dr. Pfeil
🟢 Zur Live-Premiere
595 Aufrufe. Mehr hatte die Sitzung der Enquete-Kommission zum Thema Pflege eine Woche nach der Ausstrahlung auf dem YouTube-Kanal des Bundestages nicht.
Die Rechtswissenschaftlerin Dr. Beate Pfeil war wieder dabei – und wir sind uns einig: Was dort verhandelt wurde, verdient…
❤114👍65🙏27😭10🔥7🤔1
Showing the 12 most recent of 21 posts we hold for @MichaelNehls. 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.
Citation-graph rank
Citation-graph rank — 135,156 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 32 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.
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 August 2026 — this
entry's latest reading, not the date you are reading this.
“Dr. Michael Nehls” (@MichaelNehls), 31,920 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/MichaelNehls.
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.