National news — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 59% 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. 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. 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 972 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).
Recorded under the key 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.
Growth
63 measurements spanning 97 days, net -336. 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 21,952–22,388 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
10 Nov 2026, 19:08
22,002
-5
9 Nov 2026, 05:22
22,007
-4
7 Nov 2026, 21:17
22,011
-5
6 Nov 2026, 22:08
22,016
-6
5 Nov 2026, 20:38
22,022
+1
4 Nov 2026, 19:45
22,021
-1
3 Nov 2026, 20:41
22,022
-7
2 Nov 2026, 22:37
22,029
-3
1 Nov 2026, 00:01
22,032
-6
30 Oct 2026, 23:28
22,038
+2
29 Oct 2026, 21:45
22,036
-10
28 Oct 2026, 22:00
22,046
-8
27 Oct 2026, 22:56
22,054
-8
26 Oct 2026, 23:17
22,062
-4
25 Oct 2026, 21:46
22,066
-3
25 Oct 2026, 00:50
22,069
-9
23 Oct 2026, 22:05
22,078
-8
22 Oct 2026, 21:11
22,086
-6
21 Oct 2026, 15:36
22,092
-2
20 Oct 2026, 11:19
22,094
first reading
Engagement
1,052 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
11.0%
avg views ÷ 22,002 subscribers
Avg views / post
2,420
205 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
205
of 1,052 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 10 November 2026
Posts held
1,052 (4 August 2026 – 10 November 2026)
Views total
496,592
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 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
≈24,700
Videos
≈2,230
Links
≈103,000
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
53m 46s
Average length
1m 12s
Measured directly from 45 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.
Recent posts
Telegram’s own ‘edited’ marker: 31 of 205 posts held from the last 30 days (15.1%) 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).
🚨 Nordseeklinik Helgoland insolvent – Millionenstreit gefährdet chirurgische Versorgung
Die einzige Klinik auf Helgoland hat am 29. Oktober 2026 Insolvenz in Eigenverwaltung beantragt. Auslöser sind Rückforderungen der Krankenkassen im mittleren siebenstelligen Bereich. Die Nordseeklinik Helgoland verfügt über 24 Betten und beschäftigt rund 40 Mitarbeiter. Sie sichert die medizinische Versorgung von etwa 1.300 Einwo…
Google zahlt für Stromverzicht zugunsten von Künstlicher Intelligenz
Weil Stromnetz und Stromerzeugung nicht ausreichen, um auch in Spitzenzeiten den Stromhunger der KI-Anwendungen zu befriedigen, weitet Google in den USA ein Programm zur Nachfragesteuerung aus. In Kooperation mit dem Unternehmen Voltus bietet Google Haushalten und Unternehmen Geld dafür, dass diese in Spitzenzeiten ihre Stromnachfrage drosseln lass…
Maschinenbauer rechnen mit Bundesregierung ab: »Wir sind fassungslos«
Deutschlands Maschinenbauer verlieren die Geduld mit der Bundesregierung. Angesichts ausbleibender Reformen und anhaltender Streitigkeiten innerhalb der schwarz-roten Koalition schlägt der Branchenverband VDMA Alarm.
Auf dem Maschinenbau-Gipfel in Berlin übte Kawlath am Dienstag scharfe Kritik an der Bundesregierung. Bereits vor einem Jahr habe e…
💶⚡️ Dunkelflaute treibt Strompreise auf mehr als 600 Euro
Die anhaltende Windflaute in weiten Teilen Europas hat die Strompreise am Montag auf neue Höchststände getrieben. In Deutschland kostete eine Megawattstunde an der Strombörse während der abendlichen Spitzenzeiten zeitweise mehr als 600 Euro. Im Tagesdurchschnitt lag der Großhandelspreis bei 345,64 Euro je Megawattstunde.
Verantwortlich ist eine Wetterlage, d…
+ JETZT 13% GÜNSTIGER +
Räucherapotheke
📍28 Räucherschätze für individuelle Rituale
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Für jeden Anlass die passende Komposition
Von Weißdorn, B…
Gerber Multi-Tool Dual-force
📍Maximale Werkzeugkraft kompakt integriert
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Robust konstruier…
💥🇪🇸 El Hierro im Notstand, Mallorca unter Druck – Sánchez lässt Invasoren mit Militärjets nach Madrid fliegen
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Seit Anfang Oktober kamen mehr als 12.…
💶💶 Trotz angespannter Haushaltslage:
Regierung will doch keine Einsparungen bei parteinahen Stiftungen
Die Bundesregierung will zwei große Förderposten für politische Stiftungen gegenüber ihrem ersten Haushaltsentwurf für das kommende Jahr um insgesamt 185 Millionen Euro erhöhen. Das geht aus der Bereinigungsvorlage des Bundesfinanzministeriums für die abschließenden Haushaltsberatungen hervor.
Für fünf zentrale F…
💥 Aigner verzichtet auf Besuch bei AfD-Bundestagsfraktion
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► Von Storch hatte die Nominierung der Unionskandidatin zuvor öffentlich als »Armutsz…
🇩🇪 189 Sitzplätze, 1 Libanese: NRW chartert ganze Boeing für Abschiebung eines Migranten
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Die Koste…
Showing the 12 most recent of 1,052 posts we hold for @koppreport. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 66 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 11 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.
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.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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.
“KOPP Report” (@koppreport), 22,002 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/koppreport.
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.
