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Channel

Tom Lausen ‼️❗️original Datenanalyst

@TomLausen

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

45,155subscribers

-650 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001615251793
TypeChannel
Username@TomLausen
DescriptionDatenanalyst: https://t.me/TomLausen/2 https://t.me/boost/TomLausen @BruederleTV Fragen? 👉🏻 @SchreibUnsAn_bot!
Created20 December 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/TomLausen

Topic

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 21 August 2026 and assigned it the closest of 31 fixed categories, at 85% 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 5 other registered channels. This entry also sits inside a group of 157 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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
@TomLausen/1195 · this entry11 Aug 2026, 06:27 UTC@Tom_Lausen1/1118911 Aug 2026, 07:47 UTC1.0079 minutes
@TomLausen/1237 · this entry30 Sept 2026, 09:33 UTC@Tom_Lausen1/1186930 Sept 2026, 11:26 UTC1.001.9 hours
@TomLausen/1262 · this entry21 Oct 2026, 17:57 UTC@Tom_Lausen1/1219221 Oct 2026, 18:12 UTC1.0016 minutes
@TomLausen/1266 · this entry22 Oct 2026, 18:28 UTC@Tom_Lausen1/1219522 Oct 2026, 20:30 UTC1.002.0 hours
@TomLausen/1270 · this entry26 Oct 2026, 17:53 UTC@Tom_Lausen1/1223926 Oct 2026, 18:22 UTC1.0029 minutes
@TomLausen/1280 · this entry4 Nov 2026, 22:04 UTC@Tom_Lausen1/122915 Nov 2026, 09:16 UTC1.0011 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
@Tom_Lausen139 (8/8 hand-verifiable sample passed)1.0058 minutesthis entry (39–0)
@jenslehrich110 (8/8 hand-verifiable sample passed)1.001.7 hoursthis entry (10–0)
@ProfMartinSchwab6 (6/6 hand-verifiable sample passed)1.003.1 hoursthis entry (5–1)
@Kulturstudio9 (8/8 hand-verifiable sample passed)1.0012 hoursthis entry (9–0)
@Rolf_Kron5 (5/5 hand-verifiable sample passed)1.0022 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. 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 77 comparable posts for this entry, running 10 July 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 157 channels, the one whose matching posts we hold earliest is @ProfSucharitBhakdi. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 12 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 157 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. 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.

AUF1
@auf1tv · Channel
271,695 subscribers
Aktien mit Kopf
@Aktien_mit_Kopf1 · Channel
188,045 subscribers
Freie Medien
@FreieMedienTV · Channel
134,014 subscribers
LION Media
@LIONMediaNews · Channel
132,271 subscribers
Oliver Janich & Team
@oliverjanich · Channel
106,330 subscribers
Cruel History
@cruel_historyy · Channel
102,968 subscribers
LION Media TV
@LIONMediaTV · Channel
102,727 subscribers
Qlobal-Change 🫂
@QlobalChange · Channel
91,935 subscribers
Mäckle macht gute Laune
@maeklegutelaune · Channel
91,321 subscribers
BITTEL TV - EINFACH ANDERS
@bitteltv · Channel
91,047 subscribers
Aktuell360 (Antiilluminaten TV)
@antiilluminaten · Channel
89,691 subscribers
Reiner Fuellmich 🇩🇪/🇦🇹/🇨🇭
@ReinerFuellmich · Channel
89,236 subscribers
Wahrheitsjäger
@Wahrheits_jaeger · Channel
83,256 subscribers
HAINTZ.media 🇩🇪🇦🇹🇨🇭🇪🇸
@Haintz · Channel
72,195 subscribers
henning rosenbusch - Channel
@rosenbusch · Channel
71,601 subscribers
🔎 Graphene Agenda 💉
@GrapheneAgenda · Channel
70,188 subscribers
Politische Bilder 😇
@PolitischeBilder · Channel
68,706 subscribers
HISTORY
@secret_history2 · Channel
68,537 subscribers
Stefan Magnet
@stefanmagnet · Channel
68,100 subscribers
Carsten Jahn - TEAM HEIMAT
@CarstenJahn_TEAMHEIMAT · Channel
66,988 subscribers
Tom Lausen ‼️ Original Datenanalyst Offiziell
@Tom_Lausen1 · Channel
61,309 subscribers
Dirk Dietrich
@DDDDoffiziell · Channel
55,844 subscribers
MEINE D-NEWS 🇩🇪 🇦🇹 🇨🇭
@MeineDNEWS · Channel
55,240 subscribers
Prof. Dr. Martin Schwab Offiziell
@ProfMartinSchwab · Channel
50,038 subscribers
Conspiracy Theory
@conspiracy_theory3 · Channel
48,508 subscribers
Anwälte-für-Aufklärung
@Anwaelte_fuer_Aufklaerung · Channel
47,884 subscribers
Prof. Dr. Martin Schwab Offiziell
@ProfdMartinSchwab · Channel
45,709 subscribers
Rolf Kron - Ärzte stehen auf Offizieller Kanal
@Rolf_Kron · Channel
43,867 subscribers
SECRETS OF HEALTH
@secret_health1 · Channel
42,475 subscribers
Cute and Fun Videos 🥰
@cuteandfunvideos · Channel
39,843 subscribers
Simone Voss - EINE LEHRERIN STEHT AUF-
@simonevoss · Channel
39,778 subscribers
Kanal Rechtsanwalt Dirk Sattelmaier
@rasattelmaier · Channel
38,371 subscribers
1984 – Das Magazin
@oliverflesch · Channel
36,744 subscribers
Wow!
@wowwvd · Channel
34,955 subscribers
Meet Your Mentor (mym by Simo) MYM-Clips
@MeetYourMentorOffizielle · Channel
34,656 subscribers
Heiko Schöning offiziell
@heiko_schoening · Channel
34,062 subscribers
Q-Faktor Germany News - Die Echtzeit Analyse - Das Original ©
@Q_Faktor_Germany · Channel
33,631 subscribers
JENS LEHRICH
@jenslehrich1 · Channel
33,089 subscribers
Snicklink unzensiert
@snicklink3000 · Channel
33,005 subscribers
Amazing Facts💡
@amazingfacts4 · Channel
32,557 subscribers
Politische Nachrichten 🗞
@Politische_Nachrichten · Channel
27,867 subscribers
Dave Brych Kanal
@davebrych_public · Channel
27,317 subscribers
Dr. med. Carola Javid- Kistel MITEINANDER MUTIG SEIN- ÄRZTE STEHEN AUF FÜR PATIENTEN.....🙏❤
@miteinander_mutig_sein · Channel
27,029 subscribers
KateBonoAwake
@KateBono · Channel
26,980 subscribers
Kontrafunk - Die Stimme der Vernunft
@kontrafunk2 · Channel
24,240 subscribers
Danijel_Sheran17 ✨
@danijelsheran · Channel
22,850 subscribers
✨✨✨ᵂᴬQᴱᵁᴾᵂᴼᴿᴸᴰ✨✨✨ 🄰🅁🄲🄷🄸🅅✨✨✨
@waqeupworld · Channel
20,801 subscribers
Kurz und Kräftig
@Kurz_und_kraftig · Channel
20,446 subscribers
Thomas Eglinski Info-Kanal
@infothomaseglinski1 · Channel
19,975 subscribers
💣𝐓𝐈𝐐 𝐓𝐎𝐐 𝐁𝐐𝐐𝐌𝐒💣
@TiQToQBQQms · Channel
19,342 subscribers

106 more channels are in this same group but not listed individually here.

Growth

45,15545,80545,4806 August 202611 November 2026
65 measurements spanning 98 days, net -650. 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 45,058–45,903 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
11 Nov 2026, 22:5645,155-19
10 Nov 2026, 04:1145,174-2
8 Nov 2026, 16:1445,176-3
7 Nov 2026, 13:0745,179-9
6 Nov 2026, 15:4045,188-1
5 Nov 2026, 12:0845,189+2
4 Nov 2026, 10:1145,187-3
3 Nov 2026, 09:1845,190-13
2 Nov 2026, 08:1545,203-11
1 Nov 2026, 06:2145,214-6
31 Oct 2026, 06:2945,220-5
30 Oct 2026, 05:3745,225-4
29 Oct 2026, 05:0145,229-9
28 Oct 2026, 01:0645,238-7
26 Oct 2026, 21:4045,245+1
26 Oct 2026, 00:0645,244-3
25 Oct 2026, 00:5445,247-8
24 Oct 2026, 00:5645,255-2
23 Oct 2026, 02:3745,257-14
22 Oct 2026, 02:0645,271first reading

Engagement

102 posts held, back to 10 July 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 197 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
42.5%
avg views ÷ 45,155 subscribers
Avg views / post
19,200
36 posts measured
Reaction rate
1.57%
reactions ÷ views · ER floor
Posts in window
36
of 102 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
WindowRolling 30 days · latest post in window 10 November 2026
Posts held102 (10 July 2026 – 10 November 2026)
Views total691,150
Reactions total10,821
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 03:12 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
403
Videos
90
Links
768

Lifetime counters from Telegram’s own channel header, read 12 November 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
12m 54s
Average length
1m 51s

Measured directly from 7 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

35,045 reactions across 102 posts, in 5 distinct kinds. The most used accounts for 62.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍21,75162.1%
❤11,60033.1%
😁8312.37%
🤡4601.31%
👎4031.15%

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 102 of the 102 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 35,045 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 102 most recent posts we hold, published 10 July 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 36 posts held from the last 30 days (16.7%) 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, 22:39 UTC≈12,900 views317 reactionsread 12 November 2026

“Die Gründe für das dubiose Vorgehen liegen allerdings nahe: In einer echten Pandemie gibt es keine historische Unterbelegung der Betten. In einem echten nationalen Seuchen-Notstand sind deutlich mehr Menschen krank als sonst. Doch das war in den Corona-Jahren gerade nicht der Fall. Und deshalb haben die Verantwortlichen der Enquete-Kommission Gründe dafür, es mit der Wahrheit in ihren Protokollen nicht allzu genau…

👍270❤39🤡4😁4

10 Nov 2026, 17:51 UTC≈8,610 views157 reactionsread 12 November 2026
Forwarded from @bitteltvPhoto

19.30 Uhr - LIVE - 11.11.2026 Corona-Symposium Die Grosse Analyse mit Tom Lausen Teil 2 Youtube 👉 https://www.youtube.com/@bittel_tv VK 👉 https://vk.com/bitteltv RUMBLE 👉 https://rumble.com/user/bitteltv KICK 👉 https://kick.com/bittel-tv Twitter 👉 https://twitter.com/bitteltv Twitch 👉 https://www.twitch.tv/bitteltv TEILEN - mehr Infos bei: @BITTELTV - EINFACH ANDERS

👍106❤49😁2

9 Nov 2026, 18:27 UTC≈9,740 views185 reactionsread 12 November 2026
Forwarded from @bitteltvPhoto

20 Uhr - LIVE - 09.11.2026 🔴 LIVE: CORONA-SYMPOSIUM – DIE GROSSE ANALYSE! 🎙️ Mit Tom Lausen & Roger Bittel Was waren die wichtigsten Aussagen des 5. Corona-Symposiums im Deutschen Bundestag? 🔎 Wir analysieren die brisantesten Aussagen, Fakten, Widersprüche und offenen Fragen. Youtube 👉 https://www.youtube.com/@bittel_tv VK 👉 https://vk.com/bitteltv RUMBLE 👉 https://rumble.com/user/bitteltv KICK 👉 https://ki…

❤128👍56🤡1

7 Nov 2026, 23:58 UTC≈13,700 views541 reactionsread 12 November 2026
Forwarded from @schwarzerkanal2Photo

Stefan Homburg Protokollfälschungen und Rechtsverletzungen im Bundestag: Der Lausen-Krimi ist auf Platz 1 der SPIEGEL-Bestsellerliste eingestiegen! Herzlichen Glückwunsch! Hintergrund: Das Buch ist ideales Weihnachtspräsent für alle, die noch immer an die Gates-Epstein-Seuche glauben, egal was Fakten und Dokumente zeigen. Schauen Sie hierzu auch meine neueste Sendung an, die zeigt, wie Wissenschaftler und Medien d…

👍401❤130😁10

7 Nov 2026, 21:32 UTC≈13,100 views171 reactionsread 12 November 2026
Forwarded from @marcelbarzbackup

Spendenaufruf für Multipolar Vielen Dank an alle Unterstützer — wir haben bereits 30 % erreicht. 🤝 Marcel Barz https://whydonate.com/de/fundraising/prozesskosten-multipolar

👍132❤39

5 Nov 2026, 19:18 UTC≈22,100 views370 reactionsread 12 November 2026

https://youtu.be/LNdrAnRO-us

👍304❤62😁4

4 Nov 2026, 22:08 UTC≈18,500 views297 reactionsread 12 November 2026
Forwarded from @DigitalChronist

Liebe Zuschauer, die Aufzeichnung der Direktübertragung "DC am Abend • Zu Gast: Tom Lausen" ist abrufbar! YouTube https://youtube.com/live/XlPlaabv4fg odysee https://odysee.com/@Digitaler.Chronist:8/Direktuebertragung-DC-am-Abend-Zu-Gast-Tom-Lausen-04.11.26:f Netzseite https://www.digitaler-chronist.com/direktuebertragung/die-aufzeichnungen-der-direktuebertragungen Rumble https://rumble.com/v7hv29g-direktbertragu…

👍222❤75

4 Nov 2026, 22:04 UTC≈17,900 views533 reactionsread 12 November 2026
Photo

Eine Buchhandlung stellt diese beiden Bücher direkt nebeneinander. Links: „Faschismus ist keine Meinung. Stabil bleiben in autoritären Zeiten.“ Rechts: unser Buch über die Aufarbeitung einer Zeit, in der der Staat bestimmte, wer seine Angehörigen besuchen, arbeiten gehen oder ein Restaurant betreten durfte. Ich stelle mir das Verkaufsgespräch vor: „Ich möchte etwas über die Gefahren autoritärer Politik lesen.“ „…

👍344😁112❤74🤡3

4 Nov 2026, 16:35 UTC≈22,400 views304 reactionsread 12 November 2026

https://youtu.be/kpaG1D8c_OU Heute noch ein Gespräch mit Franz Becchi, der bis vor kurzer Zeit bei der Berliner Zeitung gearbeitet hat und nun als freier Journalist veröffentlicht. Franz Becchi ist ursprünglich Italiener und hat genau zur Corona Zeit in Mailand gelebt und die Geschichten des Sterbens dort live miterlebt, was ihn zu einem sehr scharfen Beobachter dieser Zeit hat werden lassen. Ich empfehle auch sei…

👍248❤56

4 Nov 2026, 13:37 UTC≈29,000 views1,099 reactionsread 12 November 2026
Photo

Thalia legt es tatsächlich aus. Das neue BUCH 5 Minuten gegen die Macht. Eine Angestellte erkannte mich und freute sich diebisch, dass es gelungen sei, wieder kritische Bücher auslegen zu dürfen, was in letzter Zeit selten passierte. https://www.thalia.de/shop/home/artikeldetails/A1081391705 Datenanalyst-shop.de

❤650👍419😁29🤡1

4 Nov 2026, 13:34 UTC≈16,200 views184 reactionsread 12 November 2026

https://www.freie-medienakademie.de/medien-plus/schuldgemeinschaft DIE SCHULDGEMEINSCHAFT IN DER ENQUETE CORONA. Ein Beitrag von Prof Meyen Datenanalyst-shop.de Das neue Buch bestellen: https://www.buchkomplizen.de/5-minuten-gegen-die-macht.html?noloc=1

❤119👍62😁3

Showing the 12 most recent of 102 posts we hold for @TomLausen. 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 recorded as deleted after publishing

We recorded 4 posts on @TomLausen 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
4 September 2026
Most recent seen missing
18 September 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
0

Forward network

Republished by

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

Republished by 76 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

HAINTZ.media 🇩🇪🇦🇹🇨🇭🇪🇸
@Haintz · 72,195
10 posts
Infokanal Kräfte aus Medizin und Pflege gemeinsam der Impfpflicht trotzen...
@impfpflichttrotzeninfokanal · 333
9 posts
Anwälte-für-Aufklärung
@Anwaelte_fuer_Aufklaerung · 47,884
7 posts
Verbales Vitriol (Dr. Sabine Stebel)
@DrBines_verbales_Vitriol · 8,143
6 posts
Brüderle TV
@bruederletv · 827
6 posts
Kulturstudio.tv | WAHRHAFTIG - AUTHENTISCH - UNPERFEKT
@Kulturstudio · 30,041
5 posts
Schwerin Schweig Nicht
@SchwerinSchweigNicht · 309
5 posts
So werden wir dumm gehalten
@dumm_gehalten · 1,726
5 posts
Das Gesundheitswesen steht auf
@DasGesundheitswesen · 750
3 posts
BITTEL TV - EINFACH ANDERS
@bitteltv · 91,047
3 posts
impfen-nein-danke.de offiziell | Vorsprung durch Wissen
@impfen_nein_danke · 12,286
3 posts
▫️Rechtsanwältin Beate Bahner
@rechtsanwaeltin_beate_bahner · 81,866
3 posts
wirsindeinegrossefamilie
@wirsindeinegrossefamilie · 8
3 posts
Mad in Germany ©️
@Mad_In_Germany · 22,114
2 posts
Buxaktiv
@buxaktiv_de · 387
2 posts
Corona Kinder - Der Film
@coronakinderfilm · 390
2 posts
Critically.correct.global
@criticallycorrectglobal · 23
2 posts
Masken pro/contra
@maskenprocontra · 51
2 posts
#paedagogenzeigengesicht
@paedagogenzeigengesicht · 1,003
2 posts
Realsatireportal
@realsatireportal · 112
2 posts
Freiberger An(RSCH)zeiger
@Anrschzeiger · 231
1 post
Augen Auf Medien Analyse
@AugenAufMA · 13,149
1 post
Corona-Pressespiegel Kanal
@CoronaPressespiegelKanal · 147
1 post
Corona-Regime Aufarbeitung
@CoronaRegimeAufarbeitung · 108
1 post
Corona-Agenda-Wissens-Ticker
@Corona_Agenda_Wissens_Ticker · 366
1 post
DAS solltest du wissen!
@DASsolltestduwissen · 72
1 post
EMA Daten Analyse Programmieren
@DatenAnalyseProgrammieren · 16,576
1 post
Dr. Mona Aranea - Soziologin und Mutter
@Dr_Mona_Aranea · 1,062
1 post
Freiheitsversammlung München
@Freiheitsversammlung · 288
1 post
Ganzheitsarzt.de - Hauptkanal Praxis Dr Marc Fiddike. 😷
@Ganzheitsarzt_de · 1,317
1 post
Wahrheiten2020❗MachDichSchlau❗
@InformationIstAlles · 79
1 post
Luckenwalde geht spazieren 🕯
@LuckenwaldeSpaziert · 88
1 post
AB71 Corona
@ab71corona · 1
1 post
Alien‘s Best Friend
@aliensbestfriend · 5,638
1 post
Rainer LiveTV
@black_sheep_active · 46
1 post
Shadowban
@channel_list_1 · 958
1 post
Corona Kinder INFOKANAL
@coronakinderkanal · 369
1 post
Dagegen Video Archiv📽
@dagegen_video_archiv · 39
1 post
Freiheitsliebe 🎻🪘🎸
@deinefreiheitsliebe · 15
1 post
Elsa der Coronafant
@elsacoronafant · 1,780
1 post
Eltern für Ihre Kinder NRW
@eltern_fuer_ihre_kinder_nrw · 140
1 post
FinanzFux
@finanzfux · 1
1 post
Freie Menschen Eifel Infokanal
@freiemenscheneifel · 268
1 post
HANTA-HOAX 🦠
@hantahoax · 117
1 post
Info-Mixer
@infomixer · 3
1 post
KANAL - Bewegung Schwarzenberg
@kanal_bewegung_szb · 100
1 post
Alphafemale🐺 Ersatzkanal
@kate86er · 61
1 post
❌ m2c
@m2cblog · 4
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 48 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.

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.

henning rosenbusch - Channel
@rosenbusch · 71,601
#1
RA Ludwig - Querdenkeranwalt
@RA_Ludwig · 62,924
#2
BITTEL TV - EINFACH ANDERS
@bitteltv · 91,047
#3
Philipp Kruse, Rechtsanwalt
@philippkruse · 21,898
#4
Aya Velázquez
@ayawasgeht · 21,455
#5
Multipolar Magazin
@multipolar_magazin · 22,709
#6
Bastian_Barucker
@barucker · 6,673
#7
Anwälte-für-Aufklärung
@Anwaelte_fuer_Aufklaerung · 47,884
#8
Kanal Rechtsanwalt Dirk Sattelmaier
@rasattelmaier · 38,371
#9
Holger Fischer Rechtsanwalt
@HolgerFischerRA · 18,422
#10
AUF1
@auf1tv · 271,695
#11
reitschuster.de
@reitschusterde · 204,612
#12
Alles Ausser Mainstream
@AllesAusserMainstream · 108,302
#13
Reiner Fuellmich 🇩🇪/🇦🇹/🇨🇭
@ReinerFuellmich · 89,236
#14
LION Media
@LIONMediaNews · 132,271
#15
Stefan Magnet
@stefanmagnet · 68,100
#16
Tim K.
@timmkellner · 201,303
#17
Uncut-News.ch "Das Original"🇨🇭Unabhängige Analysen und Informationen zu Geopolitik, Wirtschaft, Gesundheit, Technologie
@uncut_news · 102,071
#18
▫️Rechtsanwältin Beate Bahner
@rechtsanwaeltin_beate_bahner · 81,866
#19
Paul Brandenburg
@paulbrandenburg · 45,156
#20
Anti-Spiegel - Offizieller Kanal
@AntiSpiegel · 121,609
#21
Freie Medien
@FreieMedienTV · 134,014
#22
MARKmobil
@MARKmobil · 115,678
#23
HOCH2.TV
@Hoch2TV · 8,931
#24
apolut.
@apolut · 86,204
#25
RABBIT RESEARCH
@rabbitresearch · 81,853
#26
Dr. Daniele Ganser
@DanieleGanser · 73,294
#27
Martin Sichert Infokanal
@martinsichertinfo · 20,901
#28
Prof. Dr. Martin Schwab Offiziell
@MartinSchwab · 12,160
#29
Friedemann Däblitz
@RA_Friede · 7,559
#30
Dr. Michael Nehls
@MichaelNehls · 32,289
#31
Ernst Wolff
@Wolff_Ernst · 21,703
#32
Oliver Janich & Team
@oliverjanich · 106,330
#33
Soufisticated
@soufisticated · 18,492
#34
Heiko Schöning offiziell
@heiko_schoening · 34,062
#35
TheRealTom (tm) - Trusted Flagger
@tomdabassman · 5,822
#36
LION Media TV
@LIONMediaTV · 102,727
#37
Schweizerischer Verein WIR (Wirksamkeit - Intuition - Respekt)
@VereinWIR · 16,218
#38
Transition News
@CoronaTransition · 12,718
#39
Carsten Jahn - TEAM HEIMAT
@CarstenJahn_TEAMHEIMAT · 66,988
#40
Epoch Times Deutsch
@epochtimesde · 30,360
#41
Neues aus Russland 🪆📢 Alina Lipp
@neuesausrussland · 160,217
#42
Dominik Maximilian Reichert
@DominikMaximilianReichert · 8,538
#43
Aufrecht Schweiz
@aufrechtch · 2,029
#44
Die Weltwoche
@DIE_WELTWOCHE · 15,684
#45
Björn Höcke
@BjoernHoeckeAfD · 48,632
#46
ET VIDEO & CONTENT
@etvideocontent · 7,168
#47
Kla.TV - Klagemauer TV
@KlagemauerTV · 75,176
#48
COMPACT-Magazin
@CompactMagazin · 76,690
#49
Beatrix von Storch
@BeatrixvStorch · 14,687
#50
Dr. med. Carola Javid- Kistel MITEINANDER MUTIG SEIN- ÄRZTE STEHEN AUF FÜR PATIENTEN.....🙏❤
@miteinander_mutig_sein · 27,029
#51
Jasmin Kosubek Original
@jasminkosubek · 9,032
#52
Sara Bennett Lightfight
@saraslightfight · 56,436
#53
Ärzte für Aufklärung offiziell
@aerztefueraufklaerungoffiziell · 79,015
#54
RPP Institut - Offiziell
@rppinstitut · 60,840
#55
🔵 Martin Sellner [TELEGRAMELITE]
@martinsellnerIB · 71,298
#56
Dr. Maria Hubmer-Mogg - MAHUMO
@DrMariaHubmerMoggMAHUMO · 13,914
#57
Arminius Erben
@arminius_erben · 30,117
#58
Qlobal-Change 🫂
@QlobalChange · 91,935
#59
Björn Banane
@bjoernbanane · 12,358
#60
Klartext20/21-Gemeinsam 👍🏻Info-kanal🔝🖤🤍❤️
@Klartext2021Gemeinsam · 63,146
#61
apolut 🎙 podcast
@tagesdosis_KenFM · 53,335
#62
MetanoiaMagazin
@MetanoiaMagazin · 38,646
#63
Prozessbeobachtung
@prozessbeobachterin · 692
#64
Kilez More [sic!]
@KilezMore · 10,896
#65
BastaBerlin
@bastaberlin · 17,921
#66
NachDenkSeiten – Die kritische Website
@NachDenkSeiten_DE · 19,796
#67
SchwrzVyce
@schwrzvycemusik · 4,064
#68
Politik Spezial
@PolitikSpezial · 26,550
#69
🍷 eingeSCHENKt.TV
@eingeSCHENKt · 16,537
#70
pboehringer [Peter Boehringer]
@pboehringer · 16,152
#71
Ich hab mal eben durchgezählt, ich hab sie tatsächlich nicht mehr alle 🤪
@nichtmehralle · 21,104
#72
🚨Unzensiert V2🚨
@UnzensiertV2 · 67,476
#73
Covid-Injektion & Co. Sicherheit - Wirksamkeit - Notwendigkeit
@covidimpf · 14,090
#74
Freie Sachsen
@freiesachsen · 108,139
#75
Alien‘s Best Friend
@aliensbestfriend · 5,638
#76
Snicklink unzensiert
@snicklink3000 · 33,005
#77
Herbert Kickl
@HKickl · 31,645
#78
Punkt.Preradovic-das Original
@punktpreradovic · 26,103
#79
Horizont (YT: _horizont_ )
@horizont_telegram · 26,678
#80
Lachkanal
@Lachkanal · 40,337
#81
FAIR TALK TV
@FairTalk_TV · 10,332
#82

Read from Telegram’s recommendation API, most recently 27 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.

Multipolar Magazin
@multipolar_magazin · 22,709
Telegram ranks this channel #2 of 82 here — alongside 81 others — read 19 September 2026
Aya Velázquez
@ayawasgeht · 21,455
Telegram ranks this channel #3 of 84 here — alongside 83 others — read 22 September 2026
RA Ludwig - Querdenkeranwalt
@RA_Ludwig · 62,924
Telegram ranks this channel #5 of 79 here — alongside 78 others — read 21 August 2026
OVALmedia | Deutsch
@OVALmedia · 21,925
Telegram ranks this channel #9 of 87 here — alongside 86 others — read 21 September 2026
STEFAN HOMBURG
@StefanHomburgOffiziel · 77,935
Telegram ranks this channel #10 of 65 here — alongside 64 others — read 19 September 2026
Kanal Rechtsanwalt Dirk Sattelmaier
@rasattelmaier · 38,371
Telegram ranks this channel #13 of 75 here — alongside 74 others — read 31 August 2026
Anwälte-für-Aufklärung
@Anwaelte_fuer_Aufklaerung · 47,884
Telegram ranks this channel #13 of 80 here — alongside 79 others — read 26 August 2026
henning rosenbusch - Channel
@rosenbusch · 71,601
Telegram ranks this channel #13 of 86 here — alongside 85 others — read 20 August 2026
Rolf Kron - Ärzte stehen auf Offizieller Kanal
@Rolf_Kron · 43,867
Telegram ranks this channel #23 of 80 here — alongside 79 others — read 28 August 2026
Ernst Wolff
@Wolff_Ernst · 21,703
Telegram ranks this channel #30 of 76 here — alongside 75 others — read 22 September 2026
Philipp Kruse, Rechtsanwalt
@philippkruse · 21,898
Telegram ranks this channel #34 of 81 here — alongside 80 others — read 21 September 2026
Heiko Schöning offiziell
@heiko_schoening · 34,062
Telegram ranks this channel #36 of 80 here — alongside 79 others — read 3 September 2026
Dr. Daniele Ganser
@DanieleGanser · 73,294
Telegram ranks this channel #37 of 85 here — alongside 84 others — read 19 August 2026
Dr. Michael Nehls
@MichaelNehls · 32,289
Telegram ranks this channel #42 of 82 here — alongside 81 others — read 5 September 2026
Prof.Dr.Stefan Hockertz Original Wissenschaft
@ProfHockertz · 54,152
Telegram ranks this channel #47 of 81 here — alongside 80 others — read 23 August 2026
Bewusst TV - Jo Conrad
@BewusstTV · 41,382
Telegram ranks this channel #50 of 71 here — alongside 70 others — read 29 August 2026
Dr. med. Carola Javid- Kistel MITEINANDER MUTIG SEIN- ÄRZTE STEHEN AUF FÜR PATIENTEN.....🙏❤
@miteinander_mutig_sein · 27,029
Telegram ranks this channel #54 of 69 here — alongside 68 others — read 11 September 2026
Ärzte für Aufklärung offiziell
@aerztefueraufklaerungoffiziell · 79,015
Telegram ranks this channel #54 of 85 here — alongside 84 others — read 18 August 2026
Martin Sichert Infokanal
@martinsichertinfo · 20,901
Telegram ranks this channel #55 of 83 here — alongside 82 others — read 25 September 2026
reitschuster.de
@reitschusterde · 204,612
Telegram ranks this channel #56 of 89 here — alongside 88 others — read 15 August 2026
RPP Institut - Offiziell
@rppinstitut · 60,840
Telegram ranks this channel #58 of 76 here — alongside 75 others — read 21 August 2026
BITTEL TV - EINFACH ANDERS
@bitteltv · 91,047
Telegram ranks this channel #58 of 84 here — alongside 83 others — read 17 August 2026
Friedrich - Partner Offizieller News Kanal
@friedrichpartner · 29,288
Telegram ranks this channel #61 of 85 here — alongside 84 others — read 8 September 2026
Corona_Fakten
@Corona_Fakten · 47,850
Telegram ranks this channel #61 of 74 here — alongside 73 others — read 26 August 2026

This channel appears in 45 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Tom Lausen ‼️❗️original Datenanalyst” (@TomLausen), 45,155 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/TomLausen.

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.