Telegram RegisterThe public register of Telegram

Channel

Prof. Dr. Martin Schwab Offiziell

@MartinSchwab

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

12,121subscribers

-4 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-1002201252945
TypeChannel
Username@MartinSchwab
DescriptionJura-Professor, Uni Bielefeld
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/MartinSchwab

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 92% 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

15,200 average views per post against 12,121 subscribers — an engagement rate of 125.2%. Across the 334 registered channels in the same cohort — 10,013–31,309 subscribers, posting mainly in German — the middle half sit between 10.2% and 29.7%, with a median of 18.2%.

What this was computed from
Window30 days (13 July 2026 12 August 2026)
Posts measured19 of 19 published in the window (0 exact, 19 rounded by Telegram)
Views totalled288,440
Mature posts only130.8% over 18 posts read at least 24h after publication
Subscribers12,121 measured 12 August 2026
Cohortb10000:deu · 334 channels · p10 6.18% · p25 10.2% · p50 18.2% · p75 29.7% · p90 47.5%
Position in cohort100.000th percentile · 6.9× the cohort median
Uncertainty±0.035% of the figure, from Telegram’s rounding
Post languageGerman · 100.0%of the window’s posts

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

12,11912,12812,123.56 August 2026 — 12,125 subscribers6 August 2026 — 12,125 subscribers6 August 2026 — 12,128 subscribers7 August 2026 — 12,125 subscribers8 August 2026 — 12,122 subscribers9 August 2026 — 12,119 subscribers10 August 2026 — 12,123 subscribers11 August 2026 — 12,122 subscribers12 August 2026 — 12,121 subscribers12,1216 August 202612 August 2026
9 measurements spanning 6 days, net -4. 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 12,118–12,129 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 06:1612,121-1
11 Aug 2026, 04:0612,122-1
10 Aug 2026, 05:1112,123+4
9 Aug 2026, 08:0612,119-3
8 Aug 2026, 08:5012,122-3
7 Aug 2026, 11:1712,125-3
6 Aug 2026, 08:3012,128+3
6 Aug 2026, 02:3412,125no change
6 Aug 2026, 02:2212,125first reading

Engagement

19 posts held, back to 18 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 15 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
125.2%
avg views ÷ 12,121 subscribers
Avg views / post
15,200
19 posts measured
Reaction rate
1.44%
reactions ÷ views · ER floor
Posts in window
19
of 19 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 12 August 2026
Posts held19 (18 July 202612 August 2026)
Views total288,440
Reactions total4,144
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 12:40 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
195
Videos
17
Links
524

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.

Reaction mix

4,144 reactions across 19 posts, in 32 distinct kinds. The most used accounts for 36.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍1,52436.8%
💯57313.8%
50212.1%
🤬3608.69%
👏2455.91%
🔥1643.96%
😢1393.35%
🙈1132.73%
🤮1062.56%
🤣1012.44%
🙏781.88%
🤡611.47%
🤯370.893%
😁350.845%
🤔320.772%
100.241%
🌭100.241%
🥴90.217%
🕊70.169%
😱70.169%
12 further kinds310.748%

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 19 of the 19 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 4,144reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 18 July 2026 to 12 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.

Recent posts

12 Aug 2026, 02:51 UTC≈2,980 views109 reactionsread 12 August 2026
Photo

DIE BIBLIOTHEK ALS INFEKTIONSTREIBER Henning Rosenbusch hat an diesen Artikel in der BILD vom 11.8.2021 erinnert. https://www.bild.de/regional/muenchen/muenchen-aktuell/corona-irrsinn-in-muenchen-bibliothek-verbietet-sitzen-auf-stuehlen-77357106.bild.html Dies erinnerte mich meinerseits an ein Gespräch mit einer Mitarbeiterin meines Lehrstuhls im Juni 2020. Sie fragte mich, warum die Universitätsbibliothek in Biele

🙈75🤮234😁4😢2🙏1

8 Aug 2026, 18:54 UTC≈16,700 views148 reactionsread 12 August 2026

Quellen: SPIEGEL vom 4.8.2026: https://www.spiegel.de/wirtschaft/unternehmen/dortmund-neue-u-bahnen-bewusst-ohne-klimaanlage-bestellt-a-6825cea4-e6fa-4911-ae37-436e8e067f77?fbclid=IwY2xjawTkWfxwZG9mBWV4dG4DYWVtAjEwAHNydGMGYXBwX2lkEDIyMjAzOTE3ODgyMDA4OTIAAR4crvR9wrs5bUTohrfpHpAWd0EyiNIwBlkO8axYq2txxf7yQTCE5yWYtiACmw_aem_XdxqV-SlzT59Lhk8Im4E8Q BILD vom 29.6.2026: https://www.facebook.com/bild/posts/ausgerechnet-in-vi

🔥69🙈31👍17🤔11🙏65🌭5👏2

8 Aug 2026, 18:53 UTC≈19,800 views269 reactionsread 12 August 2026
Photo

ICH BAUE MIR EINEN HITZE-LOCKDOWN Und das geht so: 1. Ich verkünde die Botschaft: „Wir müssen das Klima retten! Dafür brauchen wir Maßnahmen!“ 2. Eine dieser Maßnahmen: Ich spare Energie, indem ich auf Klimaanlagen verzichte. So wie jüngst bei den neu bestellten Dortmunder U-Bahn-Zügen. Siehe SPIEGEL vom 4.8.2026 (Foto. Quelle folgt) Oder in Kliniken und Pflegeheimen. Siehe BILD vom 29.6.2026 (Quelle folgt): 3.

👍149💯43👏2914🤯11🙈7😢5🤬4

5 Aug 2026, 13:03 UTC≈10,700 views285 reactionsread 12 August 2026

SACHSEN-ANHALTS BILDUNGSMINISTER WILL ES NICHT KAPIEREN Teil 2 (Fortsetzung von 👆 Teil 1) Die fortschreitende Zerklüftung des Debattenraums kann man getrost als bedrohliche Fehlentwicklung bezeichnen. Sie ist aber die direkte Folge der Ausgrenzung „unliebsamer” Meinungen aus dem Diskurs. Das Problem, dass die Menschen nur noch Medien konsumieren, in denen sie das lesen, was sie lesen wollen, besteht übrigens nicht n

👍165💯5049👏12🤡52🙏2

5 Aug 2026, 13:03 UTC≈10,000 views148 reactionsread 12 August 2026

SACHSEN-ANHALTS BILDUNGSMINISTER WILL ES NICHT KAPIEREN Teil 1 Liebe Community, Was die WELT hier https://www.welt.de/politik/deutschland/article6a72a1e1cc46967c04caefb8/sachsen-anhalt-selbst-kinder-verbreiten-rechtsradikale-sprueche-bildungsminister-warnt-vor-informationsblasen.html über aktuelle Aussagen von Sachsen-Anhalts Ministerpräsident Jan Riedel berichtet (es handelt sich um eine dpa-Meldung, die auch in d

👍8244💯13😁4🙏3👏2

4 Aug 2026, 12:16 UTC≈7,030 views125 reactionsread 12 August 2026

Quelle: https://www.tagesspiegel.de/politik/adipositas-ist-eine-echte-krankheit-ausschussvorsitzende-offen-fur-abnehmspritze-auf-kassenkosten-15907672.html

🤬75🤮32🤯10🔥32🙏2🤡1

4 Aug 2026, 12:16 UTC≈7,920 views198 reactionsread 12 August 2026
Photo

ENTLARVENDES EINGESTÄNDNIS EINER EINFLUSSFREICHEN FUNKTIONÄRIN Im Kontext der Diskussion um die Frage, ob die gesetzlichen Krankenkassen die Kosten für Abnehm-Spritzen erstatten sollten, gab die Vorsitzende des Gemeinsamen Bundesausschusses (G-BA), Sonja Optendrenk, gegenüber dem Tagesspiegel das aus dem Screenshot ersichtliche bemerkenswerte Statement ab. Beim G-BA (§ 91 SGB V) handelt es sich um jene Institution,

🤬113🤮38💯1814🔥6🤡4👍3🙏2

1 Aug 2026, 16:35 UTC≈8,220 views244 reactionsread 12 August 2026
Photo

GIBT ES SONST NOCH IRGENDWO DEMONSTRATIONEN... ... bei denen die Angaben der Polizei und des Veranstalters zur Anzahl der Teilnehmer übereinstimmen? Im hier gezeigten Bericht https://www.deutschlandfunk.de/300-000-menschen-bei-csd-demo-in-hamburg-100.html war diese Information die erste, die mir auffiel. Denn bei regierungskritischen Protestaktionen weichen diese Zahlen immer deutlich voneinander ab. Ganz besonder

👍140💯778👏7🕊4🤷‍♀32🌭2

31 Jul 2026, 16:42 UTC≈28,600 views307 reactionsread 12 August 2026
Photo

ZUR ERINNERUNG AN DEN QUARANTÄNE-HORROR GEGEN UNSERE KINDER Henning Rosenbusch hat an einen offenen Brief des Kinderschutzbundes erinnert, der die Art und Weise, wie die Corona-Quarantäne an Kindern vollzogen wurde, als das gebrandmarkt hat, was es ist – als psychische Gewalt gegenüber den Kindern. Ich habe daraufhin im Archiv der Zuschriften gewühlt, die mich in der Corona-Zeit erreicht haben. Hier einige Auszüge:

🤬168😢52💯4715🔥9🤮7👍3🙏3

28 Jul 2026, 13:33 UTC≈18,600 views247 reactionsread 12 August 2026
Photo

DOPPELMORAL IN BERLINS STRAFJUSTIZ Bild links: Schuldspruch wegen Verwendens von NS-Symbolen (Kammergericht Berlin, Urteil vom 30.9.2024 – 2 ORs 14/24) Bild rechts: Keine Ermittlungen. Generalstaatsanwaltschaft Berlin, Verfügung vom 10.7.2026 – 171 Zs 38/26, dokumentiert bei Haintz Media vom 25.7.2026, https://haintz.media/artikel/recht/neues-von-der-sta-berlin-die-mit-ihrem-massengeschaeft-ueberfordert-ist/ Die E

👍119💯8215😱7🔥6🤮6🤣43

26 Jul 2026, 23:05 UTC≈10,200 views171 reactionsread 12 August 2026

KRITISCHE BEMERKUNGEN ZU DEN CORONA-AUSSAGEN VON PROF. DR. CHRISTINE FALK Teil 1 Liebe Community, Henning Rosenbusch erinnerte kürzlich daran, dass Prof. Dr. Christine Falk seinerzeit geäußert hat, Ungeimpfte seien die „Treiber der Pandemie“. Christin Falk war damals Präsidentin der Deutschen Gesellschaft für Immunologie und zudem Mitglied des Corona-Expertenrats der Bundesregierung. Ich frage mich, wie eine Immun

👍11734🤯7🔥6👏32🙏2

26 Jul 2026, 23:05 UTC≈13,200 views296 reactionsread 12 August 2026

KRITISCHE BEMERKUNGEN ZU DEN CORONA-AUSSAGEN VON PROF. DR. CHRISTINE FALK Teil 3 (Fortsetzung von 👆 Teil 2) 2. Aussagen von Sachverständigen dürfen vom Rechtanwender aber niemals anstandslos hingenommen, sondern müssen kritisch hinterfragt werden. Denn die Entscheidung über die Anwendung des Rechts ist letztverbindlich den Gerichten anvertraut; der Sachverständige hilft lediglich dem Gericht bei der Wahrheitsfindung

👏173👍6735🔥10🙏10💊1

Showing the 12 most recent of 19 posts we hold for @MartinSchwab. 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 — 12,343 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.

Care4Truth — Masken tragen; ein Risiko?
@Care4Truth · 1,024
5 posts
AllerleyRaum
@allerleyraum_status · 183
3 posts
[ST] Demokratische Montagsspaziergänge Sachsen-Anhalt
@demo_sachsenanhalt_montag · 38
3 posts
Kanal Freiheit und Selbstbestimmung
@Kanal_Freiheit · 55
3 posts
Anwälte-für-Aufklärung
@Anwaelte_fuer_Aufklaerung · 48,875
2 posts
Corona Impfschäden 🇩🇪 🇦🇹 🇨🇭 🇱🇮▪Allgemeine Informationen
@CoronaImpfschaedenDeutschland · 372
2 posts
dieBasis BW Infokanal
@dieBasisBW · 494
2 posts
Freie Linke Zukunft Nachrichten
@freielinke · 2,570
2 posts
Et bliev nix wie et wor
@friedenundwahrhaftigkeit · 9
2 posts
Gegenoffensive
@gegenoffensive · 132
2 posts
Mündige Bürger Viersen
@muendigebuergerviersen · 73
2 posts
Naturheilpraxis Gabriele Drews - Heilpraktikerin
@naturheilpraxislehrte · 7
2 posts
Oliver Janich & Team
@oliverjanich · 108,592
2 posts
Psychotherapeut*innen stehen auf!- Infokanal 🦋 offiziell
@PT_stehen_auf · 1,431
2 posts
Archiv - Solinger Widerstand
@SolingerWiderstandArchiv · 20
2 posts
Der Waldgang
@WaldgangAlbdruck · 14,564
2 posts
WHO Pakt Nein!
@WHOPaktNein · 93
2 posts
❤️Frangipani❤️
@wirsinddubist · 115
2 posts
ChristenStehenAuf
@ChristenStehenAuf_de · 809
1 post
Dave Brych Kanal
@davebrych_public · 28,140
1 post
David gegen COVID
@David_vs_Covid · 746
1 post
[BB] Demokratische Montagsspaziergänge Brandenburg
@demo_brandenburg_montag · 67
1 post
[HB] Demokratische Montagsspaziergänge Bremen
@demo_bremen_montag · 48
1 post
[MV] Demokratische Montagsspaziergänge Mecklenburg-Vorpommern
@demo_meckpom_montag · 88
1 post
[NI] Demokratische Montagsspaziergänge Niedersachsen
@demo_niedersachsen_montag · 106
1 post
[RP] Demokratische Montagsspaziergänge Rheinland-Pfalz
@demo_rheinlandpfalz_montag · 135
1 post
[SL] Demokratische Montagsspaziergänge Saarland
@demo_saarland_montag · 43
1 post
[SN] Demokratische Montagsspaziergänge Sachsen
@demo_sachsen_montag · 99
1 post
[SH] Demokratische Montagsspaziergänge Schleswig-Holstein
@demo_schleswigholstein_montag · 94
1 post
[TH] Demokratische Montagsspaziergänge Thüringen
@demo_thueringen_montag · 49
1 post
Die Bielefeld Bewegung
@DieBielefeldBewegung · 83
1 post
Die Jaworskis (offiziell)
@diejaworskis_offiziell · 10,194
1 post
Dr. Philip Zeschmann
@drphilipzeschmann · 39
1 post
Eltern für Ihre Kinder NRW
@eltern_fuer_ihre_kinder_nrw · 142
1 post
Für alle Kinder!
@Fuer_alle_Kinder · 983
1 post
Für den Status
@fuerdenStatus · 799
1 post
GeZeitenwechsel (Infokanal)
@GeZeitenwechselInfokanal · 85
1 post
HändewegvonunserenKindern
@HaendewegvonunserenKinderneV · 579
1 post
🇨🇭Denke selbst🇨🇭
@Hinterfrage_alles · 153
1 post
Impfungen - IMPFormier Dich!
@impfungen · 1,444
1 post
Info-Mixer
@infomixer · 5
1 post
IDA informiert
@initiative_demokratie · 5,277
1 post
Karl HH
@karlpacific · 28
1 post
MahnwacheRosenheimDokumente
@MahnwacheRosenheimDokumente · 70
1 post
MatthiasBL Info Kanal
@matthiasblvideos · 120
1 post
Mutflash - Medizinische Argumentationen und Studiensammlungen
@mspezial · 1,303
1 post
Niemalsvergessen
@niemalsvergessen · 169
1 post
QUERDENKEN (381 - ROSTOCK) |RECHT
@QD381_Recht · 51
1 post
QUERDENKEN (234 - BOCHUM) ⎜ INFO Kanal
@querdenken_234 · 190
1 post
Q 571 - Minden | INFO-Kanal
@querdenken_571 · 87
1 post
🔹 Causalis
@RealCausalis · 125
1 post
🔥 SCIENTIASAPIENTIA 🔥
@scientiasapientia · 21
1 post
Team für Kinder
@TeamFuerKinder · 944
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 4 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Prof. Dr. Martin Schwab Offiziell” (@MartinSchwab), 12,121 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/MartinSchwab.

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.