Literature — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 3 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
24 measurements spanning 92 days, net -91. 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 5,824–5,943 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)
Subscribers
Change
5 Nov 2026, 23:28
5,838
-7
2 Nov 2026, 13:56
5,845
-2
30 Oct 2026, 11:56
5,847
-5
27 Oct 2026, 02:48
5,852
-3
23 Oct 2026, 18:56
5,855
-1
17 Oct 2026, 17:48
5,856
-5
14 Oct 2026, 16:46
5,861
-2
11 Oct 2026, 02:57
5,863
-7
5 Oct 2026, 00:38
5,870
-19
25 Sept 2026, 20:58
5,889
-7
17 Sept 2026, 03:20
5,896
-3
13 Sept 2026, 06:17
5,899
-3
9 Sept 2026, 09:58
5,902
+2
4 Sept 2026, 11:55
5,900
+3
1 Sept 2026, 09:47
5,897
-2
29 Aug 2026, 04:28
5,899
-6
25 Aug 2026, 22:28
5,905
-3
22 Aug 2026, 19:46
5,908
-3
19 Aug 2026, 11:25
5,911
-7
16 Aug 2026, 08:54
5,918
first reading
Engagement
42 posts held, back to 25 May 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 10 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
29.0%
avg views ÷ 5,838 subscribers
Avg views / post
1,690
10 posts measured
Reaction rate
1.60%
reactions ÷ views · ER floor
Posts in window
10
of 42 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 3 November 2026
Posts held
42 (25 May 2026 – 3 November 2026)
Views total
16,910
Reactions total
270
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 16:07 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
18m 23s
Average length
1m 40s
Measured directly from 11 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
1,522 reactions across 41 posts, in 17 distinct kinds. The most used accounts for 26.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
402
26.4%
❤
391
25.7%
👌
131
8.61%
⚡
129
8.48%
💯
116
7.62%
🤣
88
5.78%
🔥
69
4.53%
🤡
38
2.50%
🤬
36
2.37%
👏
30
1.97%
🫡
25
1.64%
🏆
17
1.12%
🤩
13
0.854%
👎
11
0.723%
🎉
10
0.657%
🤔
10
0.657%
🙈
6
0.394%
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 41 of the 42 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 1,522 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 42 most recent posts we hold, published 25 May 2026 to 3 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 10 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).
🎄 Kaffee, Krimi und ein persönlicher Gruß vom Autor!
Du suchst noch ein besonderes Weihnachtsgeschenk für jemanden, der guten Kaffee und spannende Geschichten liebt?
Dann haben wir genau das Richtige: Genieße eine kräftige Tasse Lebensglut-Kaffee und tauche mit „Ausgelacht – Ein Talburg-Krimi“ von Frank Kraemer in eine düstere Welt voller Geheimnisse, Abgründe und überraschender Wendungen ein.
Das Besondere: Eine …
Buchrezension zur Frank Kraemers „Ausgelacht - Ein Talburg-Krimi“
Ein Detektivkrimi, der uns in die fiktive Stadt Talburg führt. Eine Stadt, in der Verbrechen geschehen, Abgründe sichtbar werden und hinter den Fassaden so manche Geschichte auf uns wartet. Im ersten Teil der Talburg Reihe wird der Leser mit knallharter Selbstjustiz konfrontiert. Zudem gibt es für Fans der erfolgreichsten Rechtsrock Band Deutschlands …
Die Offene Psychiatrie erleben wir jeden Tag aufs Neue.
Vielen Dank an @racdrummer für die Darbietung 🤝
https://youtu.be/GF2hxFtc-fE?is=NoCg7WHNostyuCMk
▶️ VIDEO - Jetzt den Trailer ansehen: HIER KLICKEN!
Viele warten schon ganz gespannt auf den Mitschnitt zu unserer Veranstaltung am 3. Oktober 2026, wo wir über den ethnischen Volksbegriff stritten. Deshalb ein kleiner Vorgeschmack. Das Video kommt bald. Wir arbeiten gerade noch an den Feinheiten.
Abonniert unseren Kanal auf YouTube, um das nicht zu verpassen!
Hier auf Telegram werden wir auch weiterhin berichten…
Der Krieg des Demos gegen den Ethnos in Frankreich führt uns vor Augen, was in naher Zukunft auf uns wartet. Ein Stück Plastik der Einbürgerung ändert nichts an den ethnischen Spannungen, es verhindert nur deren Lösung: Remigration.
Ganzes Video ansehen!
📌 Kurzanalyse zu „Warum Rechte immer verlieren“
Frank Kraemer sprach auf seinem YouTube-Kanal mit dem Rechtsanwalt Dr. Björn Clemens und dem „Volkslehrer“ Nikolai Nerling über die Juristen-Diskussionsrunde, die am 3. Oktober vom MetaPol-Verlag organisiert wurde, thematisch drehte sie sich um den Volksbegriff (das Video zur Diskussion soll demnächst veröffentlicht werden).
🤔 Nerling: Bei der Diskussion am 3.10. gab …
Die Stählerne Bewegung nimmt Fahrt auf. Sei Teil der Bewegung und beuge dich keinem Schuldkult!
Auf YouTube ansehen!
Denk an 3-G:
🔥 Geliket
🔥 Geteilt
🔥 Gehyped
Spotify | YouTube | Instagram
Warum Rechte immer verlieren
Am 3. Oktober fand der Agora Europa Kongress unter dem Motto "Wer schützt das Volk vor Karlsruhe" statt. Es ging um den ethnischen Volksbegriff und in welchem Verhältnis Demos, also das Staatsvolk, zum Ethnos, den Volks- oder Abstammungsdeutschen zueinanderstehen. Dr. Björn Clemens gehörte zu den Diskutanten. Mit ihm und dem Volkslehrer, der wie ich im Publikum saß, spreche ich über die …
Alle Staatsgewalt geht vom Volke aus. Aber wer darf bestimmen, wer dieses Volk ist?
Das Volk selbst – oder die Richter in Karlsruhe?
Am 3. Oktober haben wir diese Frage auf den Tisch gebracht. Krah, Clemens, Schüßlburner, Vierfuß und von Waldstein diskutierten beim AGORA-Kolloquium unter der Moderation von Peter Feist. Und sie waren sich keineswegs einig.
Muss rechte Politik die heutige Rechtsprechung als Grenze a…
Wem gehören meine Gedanken bzw. wessen Gedanken bestimmen mein Leben?
Ein einfacher Gedankengang: In der Regel gehen wir davon aus, dass wir sind, wie wir sind. Unsere Handlungen erfolgen aus dem Gedanken, welchen wir in dem Augenblick haben. Egal in welcher Situation, wir gehen zumeist davon aus, dass wir in „unserem“ Sinne agieren. Nun, vielleicht gibt es auch eine andere Sichtweise.
Hier weiterlesen!
Hier nun endlich unser neuer Spotify Kanal. Nach und nach wird alles hochgeladen, was machbar ist.
Nicht nur Stahlgewitter, sondern ebenso alle anderen Projekte von Gigi.
Teilen und abonnieren nicht vergessen 🫡
https://open.spotify.com/intl-de/album/2DGMtNFIQhmmChZoTzzyER
Das 6. Treffen der D3B Mitstreiterschaft
Im Osten Thüringens, dort wo deutsche Herzen freier schlagen, traf sich die Mitstreiterschaft des Dritten Blickwinkels im September 2026 zum sechsten Mal. In vertrauter Runde pflegten wir die in den Jahren gewachsenen kameradschaftlichen und freundschaftlichen Bande.
Hier weiterlesen!
👍23❤3🏆2🙈1
Showing the 12 most recent of 42 posts we hold for @derdritteblickwinkel. 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.
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 9 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.
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.
achse:ostwest @achseostwest · 25,966 Telegram ranks this channel #49 of 78 here — alongside 77 others — read 12 September 2026
JUNGE FREIHEIT @JUNGE_FREIHEIT_Official · 20,163 Telegram ranks this channel #76 of 81 here — alongside 80 others — read 28 September 2026
This channel appears in 2 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“🎙 Der dritte Blickwinkel 🔊” (@derdritteblickwinkel), 5,838 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/derdritteblickwinkel.
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.