Politics & activism — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 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 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 3 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 (2 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 109 comparable posts for this entry, running 28 July 2026 to 11 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 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.
Growth
60 measurements spanning 98 days, net +190. 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 12,563–12,864 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
12 Nov 2026, 09:50
12,827
+4
10 Nov 2026, 07:56
12,823
+13
8 Nov 2026, 20:38
12,810
-9
7 Nov 2026, 11:36
12,819
-5
6 Nov 2026, 14:35
12,824
-4
5 Nov 2026, 11:11
12,828
+1
4 Nov 2026, 11:21
12,827
+7
3 Nov 2026, 08:54
12,820
+3
2 Nov 2026, 06:34
12,817
-6
1 Nov 2026, 05:38
12,823
-6
31 Oct 2026, 08:46
12,829
+3
30 Oct 2026, 08:29
12,826
+7
29 Oct 2026, 06:49
12,819
+2
27 Oct 2026, 03:06
12,817
+8
26 Oct 2026, 05:57
12,809
+23
25 Oct 2026, 02:55
12,786
-3
23 Oct 2026, 00:49
12,789
+9
21 Oct 2026, 22:20
12,780
+14
20 Oct 2026, 17:19
12,766
+16
19 Oct 2026, 18:57
12,750
first reading
Engagement
134 posts held, back to 28 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 67 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
84.6%
avg views ÷ 12,827 subscribers
Avg views / post
10,900
38 posts measured
Reaction rate
2.74%
reactions ÷ views · ER floor
Posts in window
38
of 134 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 11 November 2026
Posts held
134 (28 July 2026 – 11 November 2026)
Views total
412,330
Reactions total
11,314
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
12 Nov 2026, 08:30 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
Video runtime
44m 50s
Average length
2m 22s
Measured directly from 19 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
41,217 reactions across 134 posts, in 5 distinct kinds. The most used accounts for 54.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
22,358
54.2%
👎
7,665
18.6%
😁
3,857
9.36%
❤
3,764
9.13%
😢
3,573
8.67%
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 134 of the 134 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 41,217 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 134 most recent posts we hold, published 28 July 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: 16 of 38 posts held from the last 30 days (42.1%) 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).
Das Kartell hat keine Chance gegen die AfD.
Ein Bündnis gegen die AfD ist künftig nur durch eine Mega-Koalition aus CDU, Linken, BSW, SPD und Grünen möglich. Eine solche wäre zum Scheitern verurteilt.
Wir sind die Zukunft. 💪
🇩🇪 Folgen Sie Team Bystron auf Telegram
Es ist ein Business, reine Show.
"Die machen das immer noch?" - Berufsdemonstrantin Thunberg lacht Fridays for Future aus.
🇩🇪 Folgen Sie Team Bystron auf Telegram
„Ilse Aigner – nicht geeignet“
Die bayerischen AfD-Fraktionsvorsitzende Katrin Ebner-Steiner über die Nominierung Ilse Aigners als gemeinsame Kandidatin von CDU und CSU für das Amt der Bundespräsidentin:
„Wir in Bayern kennen Ilse Aigner. Wir halten Sie nicht für geeignet. Als Landtagspräsidentin hat sie oft parteipolitisch agiert und die nötige Neutralität vermissen lassen.
Seit dem Einzug der AfD in den Bayerisc…
Deutschlands Industrie geht zugrunde. Dem Ukraine-Kanzler Merz ist das egal.
Die Wirtschaft reagiert mit Fassungslosigkeit über den Abstieg des Standorts.
🔗 Quelle
🇩🇪 Folgen Sie Team Bystron auf Telegram
Schulden: SPD-Bürgermeister sagt Weihnachten ab
Traurige Weihnachten in Kirchheim: Wegen der Verschuldung der SPD-Kommune wurde sowohl der Christkindlmarkt als auch die Seniorenweihnachtsfeier abgesagt.
Bürgermeister Keck (SPD) erklärt die Haushaltssperre mit "massiven Baukostensteigerungen und Lieferverzögerungen" zurück, bedingt durch Corona und den Ukrainekrieg.
🔗 Quelle
🇩🇪 Folgen Sie Team Bystron auf Telegram
Gekaufte Medien, gekaufte Politik.
"Ich war dabei": Seit 2002 weiteten die USA ihre Einflussoperationen in Europa massiv aus. Milliarden flossen über CIA und USAID.
Mithilfe von NGOs, Stiftungen und transatlantischen Netzwerken wurden politische Führungskräfte gezielt gefördert und in Schlüsselpositionen gebracht.
🔗 Bericht
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„Von Clown zu Clown – keine Pointe“
So kommentiert Alexander Wallasch Böhmermanns Selenskyj-Interview. Plaudern über Popmusik und Skifahren, während Menschen im Krieg sterben.
Warum findet das überhaupt im öffentlich-rechtlichen Fernsehen statt? Weil hier Propaganda gemacht werden soll. Weil die Stimmung in Deutschland kippt. Weil nur noch wenige Deutsche Verständnis dafür haben, dass hier Milliarden aus unserem Wo…
Haft für Worte – wo bleibt die Verhältnismäßigkeit?
Paul Brandenburg bleibt laut Verteidigerteam mindestens zwei weitere Wochen in U-Haft. Während Schwerkriminelle teils auf freiem Fuß bleiben, sitzt er wegen mutmaßlicher Äußerungsdelikte hinter Gittern.
Ein Rechtsstaat, der Kritiker einsperrt und bei Schwerkriminellen versagt, stellt sich selbst ein Armutszeugnis aus. Wer in Brüssel Rechtsstaatlichkeit einfordert,…
Milliarden für Kiew, Stillstand daheim!
Für den Ukrainekrieg fließen Milliarden, während unseren Kommunen das Geld für Schulen, Straßen und Schwimmbäder fehlt. Diese Prioritäten sind ein Skandal. Unsere Steuergelder müssen zuerst den Bürgern zugutekommen. Berlin und Brüssel müssen endlich umsteuern!
🇩🇪 Folgen Sie Team Bystron auf Telegram
Polen: Rechtsstaat nach Parteibuch?
Polizei am Verfassungsgericht, der Präsident suspendiert: Rechtsprofessorin Frauke Rostalski sieht in WELT gewichtige Hinweise auf einen Verfassungsbruch mit Rückendeckung der Tusk-Regierung.
Und solche Leute sind Verbündete der EU!
Quelle
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Deutschlands Industrie braucht einen Regierungswechsel!
Die nächste Hiobsbotschaft: Laut Gesamtmetall sind weitere 300.000 Jobs in der Metall- und Elektroindustrie bedroht. Union und SPD setzen den wirtschaftlichen Niedergang fort.
Schluss mit teurer Energie wegen unsinniger EU-Sanktionen und überbordender Bürokratie aus Brüssel. Zeit für einen Wechsel!
Quelle
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Vance: Wahlen wegen des Irankrieges verloren
US-Vizepräsident JD Vance führt die Wahlniederlage der Republikaner auf den Iran-Krieg zurück. Frühere Trump-Wähler seien zu den Demokraten gewechselt. Sie wollten ein Kriegsende, niedrigere Lebenshaltungskosten, „America First“ und ein anderes Verhältnis zu Israel.
Quelle
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👍253❤15😁9👎8
Showing the 12 most recent of 134 posts we hold for @teambystron. 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 edited after publishing
@teambystron edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
12 August 2026
Most recent edit
7 November 2026
Posts recorded as deleted after publishing
We recorded 2 posts on @teambystron 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
1 September 2026
Most recent seen missing
1 September 2026
Median time before seen missing
2 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.
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 46 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.
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.
Martin Sichert Infokanal @martinsichertinfo · 20,901 Telegram ranks this channel #18 of 83 here — alongside 82 others — read 25 September 2026
JUNGE FREIHEIT @JUNGE_FREIHEIT_Official · 20,151 Telegram ranks this channel #27 of 81 here — alongside 80 others — read 28 September 2026
Apollo News @apollonews_de · 19,251 Telegram ranks this channel #34 of 82 here — alongside 81 others — read 4 October 2026
MEINE D-NEWS 🇩🇪 🇦🇹 🇨🇭 @MeineDNEWS · 55,240 Telegram ranks this channel #38 of 75 here — alongside 74 others — read 23 August 2026
Carsten Jahn - TEAM HEIMAT @CarstenJahn_TEAMHEIMAT · 66,988 Telegram ranks this channel #40 of 80 here — alongside 79 others — read 20 August 2026
Nius @niusde · 35,416 Telegram ranks this channel #42 of 80 here — alongside 79 others — read 3 September 2026
Björn Höcke @BjoernHoeckeAfD · 48,632 Telegram ranks this channel #46 of 80 here — alongside 79 others — read 26 August 2026
Tichys Einblick @tichyseinblicknews · 19,792 Telegram ranks this channel #53 of 79 here — alongside 78 others — read 29 September 2026
Achtung, Reichelt! @AchtungReichelt · 21,386 Telegram ranks this channel #59 of 81 here — alongside 80 others — read 23 September 2026
This channel appears in 9 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“Team Bystron” (@teambystron), 12,827 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/teambystron.
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.