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 67% 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 1 other registered channel. 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.
No sample pairs were kept for this entry. The counts below were measured, but without the pairs there is nothing here for you to open and check, so treat the relationship as recorded rather than demonstrated.
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 2,749 comparable posts for this entry, running 5 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
66 measurements spanning 96 days, net -2,103. 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 59,995–62,728 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)
Subscribers
Change
10 Nov 2026, 09:09
60,310
-26
8 Nov 2026, 22:10
60,336
-50
7 Nov 2026, 17:54
60,386
-26
6 Nov 2026, 16:01
60,412
-11
5 Nov 2026, 15:58
60,423
-19
4 Nov 2026, 18:31
60,442
-14
3 Nov 2026, 16:46
60,456
-22
2 Nov 2026, 13:39
60,478
-22
1 Nov 2026, 12:06
60,500
-21
31 Oct 2026, 14:29
60,521
-12
30 Oct 2026, 14:50
60,533
-13
29 Oct 2026, 13:56
60,546
-23
28 Oct 2026, 11:14
60,569
-18
27 Oct 2026, 09:10
60,587
-15
26 Oct 2026, 08:54
60,602
-20
25 Oct 2026, 09:49
60,622
-13
24 Oct 2026, 12:38
60,635
-18
23 Oct 2026, 15:08
60,653
-37
22 Oct 2026, 14:50
60,690
-28
21 Oct 2026, 11:49
60,718
first reading
Engagement
3,117 posts held, back to 5 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 196 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.07%
avg views ÷ 60,310 subscribers
Avg views / post
1,250
860 posts measured
Reaction rate
0.667%
reactions ÷ views · ER floor
Posts in window
860
of 3,117 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 728 of 860 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
3,117 (5 August 2026 – 11 November 2026)
Views total
1,074,660
Reactions total
6,344
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 22:08 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
≈13,400
Videos
≈7,210
Links
≈37,000
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.
Reaction mix
7,091 reactions across 804 posts, in 50 distinct kinds. The most used accounts for 18.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
1,336
18.8%
👍
1,013
14.3%
❤
787
11.1%
💩
705
9.94%
🤮
625
8.81%
🤬
614
8.66%
😁
294
4.15%
🤡
274
3.86%
🤣
216
3.05%
👎
213
3.00%
🖕
163
2.30%
👏
122
1.72%
😈
90
1.27%
🤷♂
74
1.04%
🤯
65
0.917%
💯
63
0.888%
🤪
55
0.776%
😡
53
0.747%
🤔
32
0.451%
🍌
24
0.338%
30 further kinds
273
3.85%
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 831 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 7,091 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 7 October 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 860 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).
Wie Medien politische Gewalt einordnen – in USA und Europa
Der Schütze von Krakau war ein klassischer Einzeltäter. Er tötete seine Familie und anschließend wahllos Menschen auf der Straße. Unter den Opfern waren keine schwarzen oder arabischen Menschen. Dennoch wird er in der Kriminalstatistik als rechtsextremer Massenmörder geführt.
Der Beitrag Wie Medien politische Gewalt einordnen – in USA und Europa erschien zu…
Wenn Heimat zur Fremde wird
Jan Karon. Bastardmoderne. Edition Tumult Nr. 2, Paperback, 175 Seiten, 19,00 €
Der Beitrag Wenn Heimat zur Fremde wird erschien zuerst auf Tichys Einblick.
via Tichys Einblick (author: Buchauszug)
Merz’ Steuerreform ist viel Gerede um wenig
Ob Andrea Nahles (SPD) einst als Arbeitsministerin das Steuergeld der Bürger ausgab oder nun als Vorfrau der hochverschuldeten Bundesagentur für Arbeit (BA) „spätestens für 2028 einen Darlehenserlass oder Zuschuss des Bundes“ von zehn Milliarden Euro fordert (Handelsblatt), zahlen müssen es am Ende die inzwischen wöchentlich mit neuer Schröpfung bedrohten Erwerbsbürger.
D…
Haiti: Zwei Jahrhunderte Einmischung, und die Banden von heute
In letzter Zeit wird viel über Haiti berichtet, und wie toll dort ein mit Donald Trump verbündeter lateinamerikanischer Regierungschef durch das Militär die Banden bekämpft. Aber die meisten wissen nicht,[…]
Der Beitrag Haiti: Zwei Jahrhunderte Einmischung, und die Banden von heute erschien zuerst unter tkp.at.
via tkp.at (author: Jochen Mitschka)
Wie kluge Politik die Zahl der Asylbewerber reduziert
Die Mitte-Rechts-Regierung des Landes Niederösterreich (1,73 Millionen Einwohner) liefert aktuell ein Beispiel dafür, wie der Ersatz von Bargeld durch Sachleistungen die Zahl der Asylbewerber in der Grundversorgung drastisch sinken lässt: Bis Ende 2026 sollen weitere 53 Asylheime geschlossen werden. Seit dem Spätsommer wurden bereits elf Quartiere aufgegeben. Zus…
Linkspartei-Chef verteidigt Palästinaflagge-„Kletterer“ vor dem Reichstag
Eine Palästinaflagge statt Schwarz-Rot-Gold vor dem Reichstag: Der Linkspartei-Chef Luigi Pantisano relativiert den Vorfall im Bundestag. Es folgt ein heftiger Schlagabtausch – und ein Ordnungsruf.
via JF Plus
Getötete Frau in Hamburg: Gambischer Tatverdächtiger war ausreisepflichtig
Trotz lange abgelehnten Asylantrags hält sich ein 27jähriger Gambier weiter in Deutschland auf und steht nun unter Verdacht, eine Frau in Hamburg getötet zu haben. Woran scheiterte die Abschiebung?
via JF Plus
Der Staat kassiert am Bratwurststand
Elf Seiten. So lang ist die Beschlussvorlage für eine neue „Benutzungsordnung für Sportstätten“ der Gemeinde Much in Nordrhein-Westfalen. Diese elf Seiten in hässlichstem Behörden-Deutsch bringen die knapp 15.000 Menschen dort im Bergischen Land jetzt auf die Palme.
Der Beitrag Der Staat kassiert am Bratwurststand erschien zuerst auf Tichys Einblick.
via Tichys Einblick (author…
U-Haft für Regierungskritik: Wie die Justiz Andersdenkende verfolgt
Der Arzt und Publizist Paul Brandenburg wurde am Berliner Flughafen festgenommen und in Untersuchungshaft genommen, wegen reiner Sprech- und Äußerungsdelikte. Der Hintergrund: Brandenburg hatte sich in Beiträgen scharf zu Berlins noch Regierendem Bürgermeister Kai Wegner (CDU) und dessen Umfeld geäußert.
Der Beitrag U-Haft für Regierungskritik: Wie…
🤬9❤1
Showing the 12 most recent of 3,117 posts we hold for @CheckMateNews. 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 92 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 91 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 22 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.
Bleib Stark 🤜🤛 @bleibtstark · 25,510 Telegram ranks this channel #1 of 70 here — alongside 69 others — read 13 September 2026
Chemtrails/Haarp/Wettermanipulation @KanalChemtrailsHaarp · 35,926 Telegram ranks this channel #1 of 65 here — alongside 64 others — read 1 September 2026
OVALmedia | Deutsch @OVALmedia · 21,925 Telegram ranks this channel #2 of 87 here — alongside 86 others — read 21 September 2026
Kampf für unsere Zukunft ❣️ @Kampf_fuer_unsere_Zukunft · 48,634 Telegram ranks this channel #2 of 74 here — alongside 73 others — read 25 August 2026
GlobalPatriots @globalpatriots · 26,802 Telegram ranks this channel #3 of 76 here — alongside 75 others — read 11 September 2026
Wissen ist Macht offiziell @wissenistmacht1 · 33,004 Telegram ranks this channel #3 of 73 here — alongside 72 others — read 4 September 2026
Nichts Neues unter der Sonne @Xavier_Naidoo · 35,675 Telegram ranks this channel #3 of 65 here — alongside 64 others — read 2 September 2026
💎🧬The Final Awakening [Follow only your Soul♾️] @TheFinalAwakening · 19,877 Telegram ranks this channel #4 of 68 here — alongside 67 others — read 28 September 2026
Werner Altnickel, Lebenswerk (Offizieller Kanal) @WernerAltnickelAbsicherung · 20,341 Telegram ranks this channel #4 of 76 here — alongside 75 others — read 27 September 2026
TranslatedPress DE @TranslatedPressDE · 20,351 Telegram ranks this channel #4 of 73 here — alongside 72 others — read 26 September 2026
Unabhängige Nachrichten @nachrichtenportal · 25,541 Telegram ranks this channel #4 of 69 here — alongside 68 others — read 13 September 2026
SC-360* Media @SC360Media · 34,374 Telegram ranks this channel #4 of 65 here — alongside 64 others — read 3 September 2026
Neuzeit Nachrichten💥 @NeuzeitNachrichten · 43,420 Telegram ranks this channel #4 of 75 here — alongside 74 others — read 28 August 2026
MARKmobil @MARKmobil · 115,678 Telegram ranks this channel #4 of 86 here — alongside 85 others — read 15 August 2026
Verschwörungen 🌍 @GeheimesWissenDerEliten · 63,107 Telegram ranks this channel #5 of 77 here — alongside 76 others — read 21 August 2026
TECHNIKUS🇦🇹NEWS🇩🇪 @technikus_news · 25,920 Telegram ranks this channel #6 of 75 here — alongside 74 others — read 13 September 2026
Corona_Fakten @Corona_Fakten · 47,850 Telegram ranks this channel #6 of 74 here — alongside 73 others — read 26 August 2026
Snicklink unzensiert @snicklink3000 · 33,005 Telegram ranks this channel #7 of 76 here — alongside 75 others — read 5 September 2026
Dirk Dietrich @DDDDoffiziell · 55,844 Telegram ranks this channel #7 of 75 here — alongside 74 others — read 23 August 2026
🔎 Graphene Agenda 💉 @GrapheneAgenda · 70,188 Telegram ranks this channel #7 of 82 here — alongside 81 others — read 20 August 2026
Ärzte für Aufklärung offiziell @aerztefueraufklaerungoffiziell · 79,048 Telegram ranks this channel #7 of 85 here — alongside 84 others — read 18 August 2026
RABBIT RESEARCH @rabbitresearch · 81,853 Telegram ranks this channel #7 of 82 here — alongside 81 others — read 18 August 2026
Qlobal-Change 🫂 @QlobalChange · 91,935 Telegram ranks this channel #7 of 82 here — alongside 81 others — read 16 August 2026
This channel appears in 148 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“CheckMateNews ♟” (@CheckMateNews), 60,310 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/CheckMateNews.
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.