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Channel

Mad in Germany ©️

@Mad_In_Germany

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Polls · Citations · Telegram's recommendations · Cite this entry

22,114subscribers

-199 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001100528049
TypeChannel
Username@Mad_In_Germany
DescriptionDer offizielle Kanal von Mad in Germany ©️ ZUM SHOP https://madingermany-shop.tv/ E-mail | Nur geschäftliche Anfragen bitte. [email protected] Impressum https://www.madingermany.tv/p/impressum
Created16 September 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/Mad_In_Germany

Topic

Politics & activism — 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.

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 7 other registered channels. This entry also forms a group of 2 channels linked by matching posts. 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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Mad_In_Germany/54209 · this entry7 Aug 2026, 10:55 UTC@MADINGERMANYTV/315437 Aug 2026, 11:01 UTC1.007 minutes
@Mad_In_Germany/54210 · this entry7 Aug 2026, 11:01 UTC@MADINGERMANYTV/315447 Aug 2026, 11:01 UTC1.00under a minute
@Mad_In_Germany/54225 · this entry8 Aug 2026, 12:55 UTC@MADINGERMANYTV/316088 Aug 2026, 14:52 UTC1.001.9 hours
@Mad_In_Germany/54227 · this entry8 Aug 2026, 13:05 UTC@MADINGERMANYTV/316108 Aug 2026, 14:52 UTC1.001.8 hours
@Mad_In_Germany/54232 · this entry8 Aug 2026, 17:02 UTC@MADINGERMANYTV/316158 Aug 2026, 21:14 UTC1.004.2 hours
@Mad_In_Germany/54264 · this entry11 Aug 2026, 12:17 UTC@MADINGERMANYTV/3174911 Aug 2026, 18:20 UTC1.006.1 hours
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
ChannelMatching postsText overlapTypical gapPublished first
@MADINGERMANYTV16 (8/8 hand-verifiable sample passed)1.002.5 hoursthis entry (16–0)
@SchubertsLM16 (8/8 hand-verifiable sample passed)1.003.0 hours@SchubertsLM (16–0)
@matthiasmeinung_16 (6/6 hand-verifiable sample passed)0.972.8 hoursthis entry (4–2)
@rosenbusch34 (8/8 hand-verifiable sample passed)1.0065 minutes@rosenbusch (34–0)
@traukeinempromioffiziell11 (8/8 hand-verifiable sample passed)1.002.5 hours@traukeinempromioffiziell (8–3)
@covidimpf5 (5/5 hand-verifiable sample passed)1.002.6 hours@covidimpf (4–1)
@impfen_nein_danke5 (5/5 hand-verifiable sample passed)1.002.4 hoursthis entry (4–1)

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. 19 of the 21 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 486 comparable posts for this entry, running 4 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).

Of the group of 2 channels, the one whose matching posts we hold earliest is @Mad_In_Germany — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · 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.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.

Growth

22,06022,31722,188.56 August 2026 — 22,313 subscribers6 August 2026 — 22,311 subscribers8 August 2026 — 22,304 subscribers9 August 2026 — 22,307 subscribers10 August 2026 — 22,317 subscribers12 August 2026 — 22,315 subscribers13 August 2026 — 22,307 subscribers14 August 2026 — 22,300 subscribers15 August 2026 — 22,301 subscribers17 August 2026 — 22,292 subscribers18 August 2026 — 22,290 subscribers19 August 2026 — 22,281 subscribers20 August 2026 — 22,276 subscribers22 August 2026 — 22,267 subscribers24 August 2026 — 22,247 subscribers25 August 2026 — 22,244 subscribers26 August 2026 — 22,229 subscribers27 August 2026 — 22,233 subscribers28 August 2026 — 22,235 subscribers29 August 2026 — 22,234 subscribers30 August 2026 — 22,237 subscribers31 August 2026 — 22,233 subscribers1 September 2026 — 22,229 subscribers2 September 2026 — 22,227 subscribers3 September 2026 — 22,239 subscribers5 September 2026 — 22,232 subscribers9 September 2026 — 22,237 subscribers11 September 2026 — 22,225 subscribers13 September 2026 — 22,210 subscribers14 September 2026 — 22,203 subscribers16 September 2026 — 22,202 subscribers19 September 2026 — 22,193 subscribers25 September 2026 — 22,165 subscribers8 October 2026 — 22,169 subscribers13 October 2026 — 22,163 subscribers14 October 2026 — 22,157 subscribers15 October 2026 — 22,150 subscribers16 October 2026 — 22,166 subscribers17 October 2026 — 22,170 subscribers19 October 2026 — 22,167 subscribers20 October 2026 — 22,164 subscribers21 October 2026 — 22,149 subscribers22 October 2026 — 22,143 subscribers23 October 2026 — 22,146 subscribers24 October 2026 — 22,139 subscribers25 October 2026 — 22,137 subscribers27 October 2026 — 22,131 subscribers28 October 2026 — 22,120 subscribers29 October 2026 — 22,114 subscribers30 October 2026 — 22,105 subscribers31 October 2026 — 22,111 subscribers1 November 2026 — 22,102 subscribers2 November 2026 — 22,087 subscribers3 November 2026 — 22,075 subscribers4 November 2026 — 22,071 subscribers5 November 2026 — 22,060 subscribers6 November 2026 — 22,071 subscribers7 November 2026 — 22,076 subscribers8 November 2026 — 22,103 subscribers10 November 2026 — 22,114 subscribers22,1146 August 202610 November 2026
60 measurements spanning 96 days, net -199. 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 22,021–22,356 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
10 Nov 2026, 11:2022,114+11
8 Nov 2026, 19:4022,103+27
7 Nov 2026, 12:5622,076+5
6 Nov 2026, 13:1622,071+11
5 Nov 2026, 12:5522,060-11
4 Nov 2026, 10:4622,071-4
3 Nov 2026, 08:0122,075-12
2 Nov 2026, 07:1622,087-15
1 Nov 2026, 07:3622,102-9
31 Oct 2026, 05:3822,111+6
30 Oct 2026, 06:1922,105-9
29 Oct 2026, 03:3922,114-6
28 Oct 2026, 02:5822,120-11
27 Oct 2026, 01:3122,131-6
25 Oct 2026, 22:2122,137-2
24 Oct 2026, 20:0822,139-7
23 Oct 2026, 22:2722,146+3
22 Oct 2026, 20:4022,143-6
21 Oct 2026, 15:3922,149-15
20 Oct 2026, 12:1022,164first reading

Engagement

778 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 91 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.2%
avg views ÷ 22,114 subscribers
Avg views / post
2,470
130 posts measured
Reaction rate
1.50%
reactions ÷ views · ER floor
Posts in window
139
of 778 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 128 of 130 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 November 2026
Posts held778 (4 August 2026 – 10 November 2026)
Views total320,711
Reactions total4,807
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 03:06 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

Photos
≈8,140
Videos
≈9,980
Links
≈35,800

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
5h 38m
Average length
2m 10s

Measured directly from 157 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

24,162 reactions across 712 posts, in 42 distinct kinds. The most used accounts for 31.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍7,66231.7%
🤮4,56918.9%
🤡3,35513.9%
❤2,0348.42%
🤪1,7887.40%
😢6522.70%
🤔6432.66%
👎5062.09%
🥱4701.95%
🙏4221.75%
💯3341.38%
🤣2270.939%
🤯2150.89%
🌭1620.67%
🥰1620.67%
🫡1620.67%
😁1290.534%
🤬1270.526%
🖕1230.509%
🔥1090.451%
22 further kinds3111.29%

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 730 of the 778 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 24,525 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 778 most recent posts we hold, published 4 August 2026 to 10 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: 6 of 139 posts held from the last 30 days (4.32%) 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).

10 Nov 2026, 22:45 UTC460 views1 reactionsread 11 November 2026
Photo

ZUM VIDEO https://youtu.be/jWmPeIxujhk

👍1

10 Nov 2026, 21:45 UTC573 views3 reactionsread 11 November 2026
Forwarded from @traukeinempromioffiziell

Neues Video!! Der bayerische Wirtschaftsminister und stellvertretende Ministerpräsident Hubert Aiwanger wurde am 4. November 2026 in seiner Suite mit dem Namen „Christof“ im Hotel „Neuer Fritz“ leblos aufgefunden. Der unerwartete Tod des eigentlich topfitten Politikers wirft diverse Fragen auf. Unter anderem sticht ein Ex-Geheimagent und Schauspieler namens Patrick Sass ins Auge, der sein Zimmer in der Todesnacht au…

👻3

10 Nov 2026, 19:48 UTC≈1,230 views17 reactionsread 11 November 2026
Photo

Neue Sondersendung ist online! 💥 https://youtu.be/jWmPeIxujhk JETZT BEI MAD IN GERMANY! Der ehemalige Geheimdienstmitarbeiter Patrick Sass spricht jetzt ausführlich über die Spekulationen rund um den Tod von Hubert Aiwanger! Warum war Sass im Hotelzimmer gegenüber untergebracht? Wann hat er tatsächlich eingecheckt? Was berichtet er über den Ablauf seines Hotelaufenthalts? Warum erhält er seitdem Hassnachrichten u…

👍10🤡4❤3

10 Nov 2026, 19:24 UTC≈1,510 views36 reactionsread 11 November 2026
Video

Demo gegen Nikolai Binner! Ist die Beste Werbung die man jemals kriegen konnte.

❤28🤣5😱3

10 Nov 2026, 18:09 UTC≈1,600 views24 reactionsread 11 November 2026

Posted without readable text

🙏9❤4🤔4😱4🍾1🏆1🤣1

10 Nov 2026, 16:31 UTC≈1,780 views54 reactionsread 11 November 2026
Video

Julian Reichelt: Dresden und Palästina sind kein Völkermord 📽 Zur kompletten Ausgabe: https://youtu.be/rSfPq3r-Fs8 📺 Zum Hauptkanal: https://www.youtube.com/@MadInGermany_TV 💎 Zum Shop: https://madingermany-shop.tv

🤬40🖕10❤1🤔1🤮1🥰1

10 Nov 2026, 15:14 UTC≈1,930 views18 reactionsread 11 November 2026

Posted without readable text

😱11🤔3❤2🤡1🥱1

10 Nov 2026, 11:45 UTC≈2,220 views44 reactionsread 11 November 2026
Video

Corona: Politier waren bei Reichelt zu Hause und glaubten selbe nicht an Corona? 📽 Zur kompletten Ausgabe: https://youtu.be/rSfPq3r-Fs8 📺 Zum Hauptkanal: https://www.youtube.com/@MadInGermany_TV 💎 Zum Shop: https://madingermany-shop.tv

🤬29😁6🤡4🤮3👍1👎1

10 Nov 2026, 10:55 UTC≈7,080 views37 reactionsread 11 November 2026

Posted without readable text

👍21🤔6💯5❤3👏1🤡1

10 Nov 2026, 08:01 UTC≈3,030 views103 reactionsread 11 November 2026
Video

Eins muss man ihnen lassen, sie führen einem immer die besten Darsteller vor. Aber noch besser finde ich ja die Menschen, die darauf reinfallen. Ganz zu schweigen von den Menschen bei der Bundeswehr. 😂

🌭41🤡24🤮13🤣12🖕5👍3👻2💯2

Showing the 12 most recent of 778 posts we hold for @Mad_In_Germany. 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

@Mad_In_Germany 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
27 August 2026
Most recent edit
27 August 2026

Polls

The 6 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

6 Nov 2026, 08:55 UTCFinal Results600 voters

Was gefällt dir besser, was die Artikel auf dem Kanal angeht?

  1. Lange Artikel5%
  2. Kurz und Bündig49%
  3. Beides47%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

5 Nov 2026, 19:23 UTCFinal Results600 voters

Was gefällt dir besser, was die Artikel auf dem Kanal angeht?

  1. Lange Artikel5%
  2. Kurz und Bündig49%
  3. Beides47%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

4 Nov 2026, 17:32 UTCAnonymous Poll520 voters

Was gefällt dir besser, was die Artikel auf dem Kanal angeht?

  1. Lange Artikel5%
  2. Kurz und Bündig49%
  3. Beides47%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

3 Nov 2026, 13:45 UTCAnonymous Poll300 voters

Was gefällt dir besser, was die Artikel auf dem Kanal angeht?

  1. Lange Artikel5%
  2. Kurz und Bündig51%
  3. Beides45%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

11 Aug 2026, 16:32 UTCAnonymous Poll861 voters

Hast du Familienmitglieder, oder Bekannte und Freunde an der Covid-19 Impfung verloren?

  1. Mutmaßlich ja. (Ohne Beweis)57%
  2. Nein, mir ist nichts bekannt.33%
  3. Ja, sogar mit Beweis.10%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

10 Aug 2026, 17:47 UTCAnonymous Poll861 voters

Hast du Familienmitglieder, oder Bekannte und Freunde an der Covid-19 Impfung verloren?

  1. Mutmaßlich ja. (Ohne Beweis)57%
  2. Nein, mir ist nichts bekannt.33%
  3. Ja, sogar mit Beweis.10%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 778 most recent posts we hold, published 4 August 2026 to 10 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republished by 57 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

MIG-Twitch
@MIG_Twitch · 186
14 posts
Echter Hingucker!
@Activistenmemes · 9,822
6 posts
Aktuell360 (Antiilluminaten TV)
@antiilluminaten · 89,691
5 posts
impfen-nein-danke.de offiziell | Vorsprung durch Wissen
@impfen_nein_danke · 12,283
5 posts
Dr. med. Carola Javid- Kistel MITEINANDER MUTIG SEIN- ÄRZTE STEHEN AUF FÜR PATIENTEN.....🙏❤
@miteinander_mutig_sein · 27,029
5 posts
Mrs. Anna Freedom 🕊
@mrsannafreedom · 616
5 posts
Trau keinem Promi offiziell
@traukeinempromioffiziell · 39,153
5 posts
AUFWACHKANAL ❗️ deine rote Pille
@Aufwachkanal_deine_rote_Pille · 82,617
4 posts
Impfschaden Coronaimpfstoffe
@impfschadencorona · 10,180
4 posts
Irrenanstalt BRD
@Irrenanstaltbrd · 329
3 posts
Wir vergeben nicht - Wir vergessen nicht
@WirVergessenNicht · 308
3 posts
FrankySnatra's Perspektive
@franky_snatras_news · 277
2 posts
LexHexMex
@lexhexmex · 2
2 posts
The truth is in the music
@the_truth_is_in_the_music · 52
2 posts
🌳𝐀𝐧𝐨𝐧𝐲𝐧𝐣𝐚 (𝐎𝐫𝐢𝐠𝐢𝐧𝐚𝐥)🍵🍃
@AnonynjaOriginal · 43
1 post
❌ Aperio Media
@AperioMedia · 775
1 post
Corona Rebellen Oberlausitz
@CoronaRebellenOberlausitz · 286
1 post
Corona-Regime Aufarbeitung
@CoronaRegimeAufarbeitung · 108
1 post
Verbales Vitriol (Dr. Sabine Stebel)
@DrBines_verbales_Vitriol · 8,143
1 post
Frank Köstler öffentlich
@FrankKoestler · 18,156
1 post
Freie Medien
@FreieMedienTV · 134,014
1 post
GROSSE FREIHEIT TV
@GFTV_HH · 12,785
1 post
🍃🌼NATUR GESUNDHEIT MENSCH & TIER 🌼🍃
@Geheimnis_Gesundheit · 12,472
1 post
Impfen DOKU 🎬
@Impfen_DOKU · 33,946
1 post
InToTheLight Aktuell
@InToTheLight · 44
1 post
5️⃣🦄 KGI_05 Heilung & Heilendes & Hilfreiches
@Kinder_Gottes_ISRAEL_05 · 174
1 post
❌Lilly Thüringen 🔨
@LiIIy_Thueringen · 31
1 post
PANDEMIEVERTRAG - #WHO
@Pandemievertrag · 107
1 post
RESIST NEWS
@RESISTNEWS · 204
1 post
Die RKI Files
@RKI_Files · 2,752
1 post
🦠❌Corona_Impfschaden_Nebenwirkungen🦠❌
@corona_Impfschaden · 1,525
1 post
Corona Partisanen
@corona_partisanen · 30
1 post
et voilà - da haben wir's!
@da_haben_wir_es · 1,468
1 post
Dawid
@dawidsnowden · 10,880
1 post
Die Aufstrebenden ❤️ 🌈 💎⭐️
@dieaufstrebenden · 55
1 post
Freigeist statt Kleingeist
@elefteria_s · 73
1 post
Freiheitsboten Rottweil🙏
@freiheitsbotenRW · 3
1 post
friedenfreundedemokratie @ChrisWTV
@friedefreundedemokratie · 164
1 post
Gabi Jewara Neuigkeiten
@gabjew · 122
1 post
Gatekeeping
@gatekeeping · 28
1 post
Ratschläge Tipps für Impfopfer Covid-19
@impfopfer_ratschlaege_und_tipps · 553
1 post
911 Inside Job
@in_side_jo_b · 22,515
1 post
❌ Menschen unter sich ... die Zielgruppe
@menschenuntersich · 1,012
1 post
MiMo Tv
@mimo_tv · 1,135
1 post
DieLetzteShow
@openmindproject · 16
1 post
Quellwasser
@quellwasser · 62
1 post
RBK - Ceterum censeo NATO esse delendam! Raus aus der NATO!
@rbk_2020 · 2,084
1 post
QANON SALZBURG🇦🇹/ QANON HUNGARY🇭🇺
@thestormishereQ · 34
1 post

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 26 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.

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.

LION Media
@LIONMediaNews · 132,271
#1
RABBIT RESEARCH
@rabbitresearch · 81,853
#2
henning rosenbusch - Channel
@rosenbusch · 71,620
#3
CheckMateNews ♟
@CheckMateNews · 60,310
#4
Uncut-News.ch "Das Original"🇨🇭Unabhängige Analysen und Informationen zu Geopolitik, Wirtschaft, Gesundheit, Technologie
@uncut_news · 102,071
#5
WAS WIRKLICH IST - ENDE DER TÄUSCHUNG
@waswirklichist · 59,522
#6
Ken Jebsen - Aufklärung und Information
@kenjebsen · 121,473
#7
apolut.
@apolut · 86,204
#8
Stefan Magnet
@stefanmagnet · 68,100
#9
Verschwörungen 🌍
@GeheimesWissenDerEliten · 63,107
#10
TheRealTom (tm) - Trusted Flagger
@tomdabassman · 5,822
#11
Freie Medien
@FreieMedienTV · 134,014
#12
Node of Time DE
@node_of_time_DE · 38,718
#13
Toni Tano
@toniiitano · 4,158
#14
Sag es mit Bildern, teilen ausdrücklich erwünscht 👍 das Original!
@politische_bildersprueche · 18,202
#15
Echter Hingucker!
@Activistenmemes · 9,822
#16
BITTEL TV - EINFACH ANDERS
@bitteltv · 91,047
#17
#WirSindVielMehr
@wirsindvielmehr · 49,537
#18
Reiner Fuellmich 🇩🇪/🇦🇹/🇨🇭
@ReinerFuellmich · 89,285
#19
Clownswelt
@Clownswelt · 29,573
#20
🇷🇺 Russländer & Friends 🇩🇪
@russlandsdeutsche · 67,556
#21
AUFWACHKANAL ❗️ deine rote Pille
@Aufwachkanal_deine_rote_Pille · 82,617
#22
Dave Brych Kanal
@davebrych_public · 27,317
#23
TECHNIKUS🇦🇹NEWS🇩🇪
@technikus_news · 25,920
#24
Bleib Stark 🤜🤛
@bleibtstark · 25,510
#25
Tim K.
@timmkellner · 201,303
#26
AUF1
@auf1tv · 271,809
#27
Dawid
@dawidsnowden · 10,880
#28
reitschuster.de
@reitschusterde · 204,612
#29
𝖀𝖓𝖗𝖊𝖌𝖎𝖊𝖗𝖇𝖆𝖗
@Unregierbar · 12,464
#30
Der Staat ist nicht dein Freund OFFICIAL #dsindf
@dsindf · 4,897
#31
MARKmobil
@MARKmobil · 115,678
#32
Die Framing Gm₿H
@DieFramingGmbH · 6,589
#33
Snicklink unzensiert
@snicklink3000 · 32,979
#34
Covid-Injektion & Co. Sicherheit - Wirksamkeit - Notwendigkeit
@covidimpf · 14,095
#35
Neues aus Russland 🪆📢 Alina Lipp
@neuesausrussland · 160,217
#36
Carsten Jahn - TEAM HEIMAT
@CarstenJahn_TEAMHEIMAT · 67,010
#37
Anti-Spiegel - Offizieller Kanal
@AntiSpiegel · 121,672
#38
🚨Unzensiert V2🚨
@UnzensiertV2 · 67,476
#39
Royal allemand
@RoyalAllemand · 7,220
#40
Dirk Dietrich
@DDDDoffiziell · 55,848
#41
[ℂ𝕠𝕟𝕤𝕡𝕚𝕣𝕒𝕔𝕪𝕟𝕖𝕨𝕤𝕣𝕠𝕠𝕞]
@CNconspiracynewsroom · 26,439
#42
Vivoterra
@Vivoterra · 86,879
#43
💥Booom Aktuell💥Austausch über das aktuelle Weltgeschehen...🌍
@booomaktuell · 32,956
#44
GlobalPatriots
@globalpatriots · 26,844
#45
Horizont (YT: _horizont_ )
@horizont_telegram · 26,678
#46
InfoDefenseDEUTSCH
@infodefGERMANY · 52,170
#47
Qlobal-Change 🫂
@QlobalChange · 91,935
#48
🔵 Martin Sellner [TELEGRAMELITE]
@martinsellnerIB · 71,298
#49
Antiautoritäre Aktion
@antiautoritaere_aktion · 3,985
#50
Kai Orak
@kaiorak · 34,185
#51
W🌎RLD P🧩ZZLE
@world_puzzle · 3,720
#52
Ich hab mal eben durchgezählt, ich hab sie tatsächlich nicht mehr alle 🤪
@nichtmehralle · 21,104
#53
Folge dem Plan
@Folgedemplan · 30,519
#54
Lachen macht Freu(n)de
@LachenMachtFreude · 37,111
#55
PHANTOM - SCHWEIZ 👔
@PhantomSchweiz · 60,955
#56
Analytik & News
@analytik_news · 34,511
#57
Bernie aus Australien 🇦🇺 ®™
@bernie006 · 32,307
#58
Unabhängige Nachrichten
@nachrichtenportal · 25,541
#59
LION Media TV
@LIONMediaTV · 102,727
#60
Videodump
@videodump1 · 10,424
#61
🌐 Nachrichtenwelt
@Nachrichtenwelt · 28,821
#62
YGDRASOUL
@YGDRASOUL · 43,009
#63
K🔞MISCH 😄 V2
@KomischV2 · 8,044
#64
GutmenschenKeule
@GutmenschenKeule · 18,100
#65

Read from Telegram’s recommendation API, most recently 21 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.

Trau keinem Promi offiziell
@traukeinempromioffiziell · 39,153
Telegram ranks this channel #12 of 73 here — alongside 72 others — read 30 August 2026
Clownswelt
@Clownswelt · 29,573
Telegram ranks this channel #14 of 79 here — alongside 78 others — read 7 September 2026
#WirSindVielMehr
@wirsindvielmehr · 49,537
Telegram ranks this channel #15 of 74 here — alongside 73 others — read 25 August 2026
henning rosenbusch - Channel
@rosenbusch · 71,620
Telegram ranks this channel #20 of 86 here — alongside 85 others — read 20 August 2026
Dave Brych Kanal
@davebrych_public · 27,317
Telegram ranks this channel #25 of 70 here — alongside 69 others — read 10 September 2026
YGDRASOUL
@YGDRASOUL · 43,009
Telegram ranks this channel #38 of 68 here — alongside 67 others — read 28 August 2026
WAS WIRKLICH IST - ENDE DER TÄUSCHUNG
@waswirklichist · 59,522
Telegram ranks this channel #43 of 68 here — alongside 67 others — read 22 August 2026
Snicklink unzensiert
@snicklink3000 · 32,979
Telegram ranks this channel #49 of 76 here — alongside 75 others — read 5 September 2026
TECHNIKUS🇦🇹NEWS🇩🇪
@technikus_news · 25,920
Telegram ranks this channel #51 of 75 here — alongside 74 others — read 13 September 2026
Unabhängige Nachrichten
@nachrichtenportal · 25,541
Telegram ranks this channel #54 of 69 here — alongside 68 others — read 13 September 2026
GlobalPatriots
@globalpatriots · 26,844
Telegram ranks this channel #58 of 76 here — alongside 75 others — read 11 September 2026
Werner Altnickel, Lebenswerk (Offizieller Kanal)
@WernerAltnickelAbsicherung · 20,341
Telegram ranks this channel #61 of 76 here — alongside 75 others — read 27 September 2026
apolut.
@apolut · 86,204
Telegram ranks this channel #61 of 83 here — alongside 82 others — read 17 August 2026
Horizont (YT: _horizont_ )
@horizont_telegram · 26,678
Telegram ranks this channel #64 of 76 here — alongside 75 others — read 12 September 2026
Kai Orak
@kaiorak · 34,185
Telegram ranks this channel #64 of 71 here — alongside 70 others — read 3 September 2026
MICHAEL WENDLER 🚨 & TEAM
@michaelwendlerlive · 39,809
Telegram ranks this channel #65 of 69 here — alongside 68 others — read 29 August 2026
CheckMateNews ♟
@CheckMateNews · 60,310
Telegram ranks this channel #65 of 77 here — alongside 76 others — read 22 August 2026
Carsten Jahn - TEAM HEIMAT
@CarstenJahn_TEAMHEIMAT · 67,010
Telegram ranks this channel #66 of 80 here — alongside 79 others — read 20 August 2026
Oliver Janich & Team
@oliverjanich · 106,342
Telegram ranks this channel #72 of 88 here — alongside 87 others — read 15 August 2026
Digitaler Chronist
@DigitalChronist · 29,121
Telegram ranks this channel #74 of 80 here — alongside 79 others — read 8 September 2026
MEINE D-NEWS 🇩🇪 🇦🇹 🇨🇭
@MeineDNEWS · 55,240
Telegram ranks this channel #75 of 75 here — alongside 74 others — read 23 August 2026
Sara Bennett Lightfight
@saraslightfight · 56,472
Telegram ranks this channel #75 of 76 here — alongside 75 others — read 23 August 2026
Tim K.
@timmkellner · 201,303
Telegram ranks this channel #76 of 86 here — alongside 85 others — read 15 August 2026

This channel appears in 23 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.

“Mad in Germany ©️” (@Mad_In_Germany), 22,114 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/Mad_In_Germany.

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.