Jura-Professor, Uni Bielefeld Kontaktinformationen✍🤓
Offizieller Telegram-Kanal von Martin Schwab. Hier finden Sie aktuelle Neuigkeiten zu meinen Themen. Nützliche Erinnerungen und Motivation. Wir bieten auch Investitionsmöglichkeiten.Beste Grüße✍️😊🇩🇪
Created
Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 80% 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 12 other registered channels. This entry also sits inside a group of 156 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)
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
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. 818 of the 824 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 781 comparable posts for this entry, running 2 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 156 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.
Views per post sit far below this size band
23.2 average views per post against 45,781 subscribers — an engagement rate of 0.051%. Across the 23,599 registered channels in the same cohort — 31,623–99,997 subscribers — the middle half sit between 2.65% and 15.1%, with a median of 6.81%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
392 of 396 published in the window (392 exact, 0 rounded by Telegram)
Views totalled
9,090
Mature posts only
0.068% over 176 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or below the 1st percentile of its cohort and is at least 3× away from that cohort’s median — below 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 keys clone_copy · clone_mutual · clone_source · err_low, 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 156 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.
105 more channels are in this same group but not listed individually here.
Growth
65 measurements spanning 95 days, net +24,766. 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 20,596–60,893 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
10 Nov 2026, 15:11
50,038
-250
9 Nov 2026, 05:51
50,288
-231
8 Nov 2026, 00:00
50,519
+4,905
7 Nov 2026, 01:07
45,614
-76
6 Nov 2026, 03:07
45,690
-91
5 Nov 2026, 02:50
45,781
-34
4 Nov 2026, 02:09
45,815
-22
2 Nov 2026, 22:50
45,837
-4
2 Nov 2026, 02:08
45,841
-24
1 Nov 2026, 05:29
45,865
-1,614
31 Oct 2026, 07:36
47,479
-5
30 Oct 2026, 06:41
47,484
-4,396
29 Oct 2026, 06:44
51,880
-817
28 Oct 2026, 07:08
52,697
-1,133
27 Oct 2026, 06:35
53,830
-18
26 Oct 2026, 06:59
53,848
-11
25 Oct 2026, 10:28
53,859
-16
24 Oct 2026, 10:36
53,875
-411
23 Oct 2026, 08:45
54,286
-1,943
22 Oct 2026, 12:10
56,229
first reading
Engagement
1,163 posts held, back to 2 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 176 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.045%
avg views ÷ 50,038 subscribers
Avg views / post
22.6
375 posts measured
Reaction rate
1.69%
reactions ÷ views · ER floor
Posts in window
378
of 1,163 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 23 of 375 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 11 November 2026
Posts held
1,163 (2 August 2026 – 11 November 2026)
Views total
8,476
Reactions total
10
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 20:03 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
≈4,700
Videos
≈1,570
Links
≈2,620
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
13h 41m
Average length
2m 54s
Measured directly from 283 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 reactions across 18 posts, in 8 distinct kinds. The most used accounts for 58.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
14
58.3%
👎
2
8.33%
🤣
2
8.33%
🤮
2
8.33%
👍
1
4.17%
👏
1
4.17%
🤬
1
4.17%
🥰
1
4.17%
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 59 of the 1,000 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 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 22 August 2026 to 11 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: 0 of 378 posts held from the last 30 days (0%) 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).
Da bleib ich lieber daheim?!
Immer mehr Leute ziehen sich zurück - zu wenig Geld, zu müde, zu genervt von den anderen.
Viele Veranstalter schmeißen den Hut drauf.
Auch, wenn ich das alles vielfach verstehen kann - die Entwicklung ist bedenklich…
➡️ Mein Kanal: https://t.me/ProfDrMartinSchwabOffiziell
Ich bewundere Elsa Mittmannsgruber für ihren unermüdlichen Einsatz, und ich freue mich sehr, dass sie am Samstag, 28.11., einen ihrer großartigen Vorträge bei meinem Glücksbringer Kongress hält. Und ich teile ihre Meinung, dass es extrem sexy ist, wenn Menschen ihre Meinung äußern.
Ilse Aigner ist ungeaignert 😉
Deutschland sucht eine Bundespräsidentin, die Brücken baut, Menschen zusammenführt und die Spaltung unseres Landes überwindet.
Ilse Aigner möchte eigentlich genau das tun. Bei der Union, der SPD und den Grünen will sie nun vorsprechen, bei der AfD und den Linken jedoch nicht.
Somit steht bereits lang vor der Wahl fest: Aus Aigner wird in der politischen Satire ganz schnell: Ungeaigner…
Investieren und Traden und dabei Gewinn zu machen, während man investiert und tradet, ist sehr süß. Glaub mir, es ist sehr, sehr, sehr süß.
Erstens hast du Seelenfrieden, weil du weißt, dass du mit mir zu tun hast. Deine Investition ist bei mir sicher. Ich bin eine bekannte Person, und das bedeutet, dass dein Geld zu 100 % sicher ist und du Seelenfrieden hast.
Zweitens weißt du, dass ich ein Experte auf diesem Gebi…
Coinbase erhält volle US-Lizenz als Treuhandbank
Die US-Bankenaufsicht OCC hat Coinbase die endgültige Genehmigung für eine nationale Treuhandbank erteilt. Die Coinbase National Trust Company darf damit Kryptowerte unter direkter Bundesaufsicht verwahren und Zahlungsdienste anbieten. Eine vorläufige Zusage hatte es im April gegeben. Das bestehende Verwahrgeschäft soll über drei Jahre in die neue Einheit überführt we…
„#Bastardmoderne“
Wie wurden wir das, was wir nie sein wollten? Zur nächsten Veranstaltung im Rahmen unserer „Potsdamer Gespräche“ können Sie Jan A. Karon mit seinem Buch „Bastardmoderne“ erleben. Der Verlag verspricht eine „zornige Alltagsbeobachtung“ in Berlin-Kreuzberg. Mit beißendem Witz und unbarmherziger Präzision deckt Jan A. Karon die Mechanismen einer Epoche auf, die aus der Postmoderne hervorging und heute…
Showing the 12 most recent of 1,163 posts we hold for @ProfMartinSchwab. 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Handles this channel named that no longer answer
Dead references
4
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
4
vacant every time we have ever looked
@ProfMartinSchwab named 4 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@beatrix_vstorch named in 1 post, 8 November 2026 – 8 November 2026
@oerrblog named in 1 post, 2 November 2026 – 2 November 2026
@apollo_news_de named in 1 post, 10 October 2026 – 10 October 2026
@niusde_ named in 1 post, 10 October 2026 – 10 October 2026
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.
“Prof. Dr. Martin Schwab Offiziell” (@ProfMartinSchwab), 50,038 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/ProfMartinSchwab.
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.
