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 75% 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 why it has no browse page of its own yet.
Growth
30 measurements spanning 32 days, net -567. 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 87,350–88,087 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)
Subscribers
Change
7 Sept 2026, 06:01
87,435
-25
4 Sept 2026, 14:00
87,460
-33
3 Sept 2026, 01:48
87,493
-22
2 Sept 2026, 00:05
87,515
-38
1 Sept 2026, 01:06
87,553
-22
31 Aug 2026, 00:17
87,575
-3
30 Aug 2026, 00:54
87,578
-15
29 Aug 2026, 01:47
87,593
-17
27 Aug 2026, 23:34
87,610
-6
27 Aug 2026, 00:34
87,616
-26
26 Aug 2026, 00:48
87,642
-18
25 Aug 2026, 02:48
87,660
-14
23 Aug 2026, 19:04
87,674
-24
22 Aug 2026, 04:46
87,698
-18
20 Aug 2026, 18:24
87,716
-29
19 Aug 2026, 15:07
87,745
-8
18 Aug 2026, 13:18
87,753
-20
17 Aug 2026, 15:55
87,773
-29
16 Aug 2026, 08:16
87,802
-13
14 Aug 2026, 19:58
87,815
first reading
Engagement
258 posts held, back to 3 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 70 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.61%
avg views ÷ 87,435 subscribers
Avg views / post
8,400
202 posts measured
Reaction rate
0.81%
reactions ÷ views · ER floor
Posts in window
212
of 258 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 8 September 2026
Posts held
258 (3 August 2026 – 8 September 2026)
Views total
1,697,420
Reactions total
13,750
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Sept 2026, 18:02 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
≈6,800
Videos
≈398
Links
≈12,200
Lifetime counters from Telegram’s own channel header, read 8 September 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
44m 08s
Average length
1m 03s
Measured directly from 42 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
15,773 reactions across 235 posts, in 14 distinct kinds. The most used accounts for 52.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
8,321
52.8%
🤮
1,758
11.1%
👏
1,232
7.81%
🔥
1,048
6.64%
🤡
764
4.84%
👎
597
3.78%
💯
530
3.36%
🤔
372
2.36%
🤯
350
2.22%
😢
316
2.00%
🙏
275
1.74%
😱
160
1.01%
⚡
32
0.203%
🤨
18
0.114%
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 248 of the 258 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 16,494 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 258 most recent posts we hold, published 3 August 2026 to 8 September 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.
PISA-Tiefststand: Deutsche Schüler so schlecht wie nie
Deutschland erlebt bei der aktuellen PISA-Studie (PISA 2025, veröffentlicht 2026) einen neuen Negativrekord: Die Leistungen der 15‑Jährigen in Lesen, ..weiterlesen auf apolut.net
#AktuelleNachrichten@apolut | Folge @apolut auf Telegram
Es sind die Scheinkonservativen, die in der täglichen politischen Rhetorik vorgeblich konservative Standpunkte propagiert, diese aber ebenso wie ihre Wähler überall in Europa verraten haben.
In Deutschland heißt der prominenteste Fall des Umfallens Friedrich Merz.
Gerald Grosz rechnet mit den Scheinkonservativen ab, er zeichnet in Ausgemerzt: Das Ende der Scheinkonservativen das große dramatische Finale der prinzi…
Offener Brief an Ulrich Siegmund, Claudia Wittig und Thomas Schulze | Von Diether Dehm
Lieber Ulrich Siegmund! Liebe Claudia Wittig! Lieber Thomas Schulze! Gestatten Sie mir, Ihnen von ganzem Herzen zu Ihrem Wahlerfolg zu gratulieren. Dies ..weiterlesen auf apolut.net
#Artikel@apolut | Folge @apolut auf Telegram
Ukraine-Krieg: Der Westen eskaliert | Von Tilo Gräser
Russische Vertreter kritisieren deutlich die westliche Eskalation. Unterdessen besuchten die US-Unterhändler Witkoff und Kushner erneut Moskau und zum ..weiterlesen auf apolut.net
#Tagesdosis@apolut | Folge @apolut auf Telegram
Die zwei Uhren des Imperiums – Warum der Niedergang den Westen spaltet | Von Dirk Ellerbrock
Wer die Eskalationsspirale der letzten Jahre verstehen will – vom Iran über die Ukraine bis zur Handelspolitik gegenüber China –, sollte sie nicht als ..weiterlesen auf apolut.net
#Artikel@apolut | Folge @apolut auf Telegram
Karsten Dusse „Filmriss auf Immenhof“ | Von Paul Clemente
Worin besteht der dauernde Erfolg von Krimis, ob als Roman oder Film? Die spanische Autorin Rosa Ribas erklärt: Dieses Genre zeigt gesellschaftliche B ..weiterlesen auf apolut.net
#LyrischeBeobachtungsstelle@apolut | Folge @apolut auf Telegram
Das zweite Betriebssystem der Macht (Teil 1) | Von Michael Hollister
Wie Palantir Deutschlands Sicherheitsbehörden verbindet und spaltetDieselbe Software, die vier Länderpolizeien für unverzichtbar halten, hat die Bunde ..weiterlesen auf apolut.net
#Artikel@apolut | Folge @apolut auf Telegram
Brief aus Budapest #14: Hassfabrik und Lynchstimmung: Ungarns Gesellschaft im Erregungszustand | Von Gábor Stier
Fast ein halbes Jahr nach den Wahlen kommt die ungarische Gesellschaft immer noch nicht zur Ruhe. Sie lechzt nach Blut und will die ikonischen Figuren ..weiterlesen auf apolut.net
#Artikel@apolut | Folge @apolut auf Telegram
Thomas Meuter: Menschenähnliche Roboter können Menschen identifizieren und verfolgen
Ausschnitt aus dem Interview mit Thomas Meuter | KI-Tötungsmaschinen revolutionieren die Kriegsführung – Hier in voller Länge zu sehen: https://apolut.net/im-gespraech-thomas-meuter-3/
TriggerFM: Nachrichten der Freien Medien vom 07.09.2026 🎥
Aus dem Klappentext:Themen: Elon Musk gratuliert AfD zum Wahlsieg, AfD übertrifft Umfragewerte in Sachsen-Anhalt, EU stoppt Verteidigungsgruppe-Gründu ..weiterlesen auf apolut.net
#apoluTipp@apolut | Folge @apolut auf Telegram
Im Gespräch: Thomas Meuter | KI-Tötungsmaschinen revolutionieren die Kriegsführung 🎥
Der Journalist und Rüstungsexperte Thomas Meuter hat zusammen mit seinem Kollegen Stefan Nitschke ein umfangreiches Fachbuch geschrieben. Der Titel la ..weiterlesen auf apolut.net
#ImGespräch@apolut | Folge @apolut auf Telegram
Ist Selensky am Ende? | Von Thomas Röper
Das Council von Foreign Relation fordert de facto, Selensky zu entmachten.
Auch wenn deutsche Medien den offenen Streit zwischen Selensky und seinen w ..weiterlesen auf apolut.net
#Standpunkte@apolut | Folge @apolut auf Telegram
👍72👏20😱5👎1
Showing the 12 most recent of 258 posts we hold for @apolut. 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 111 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.
Bernie aus Australien 🇦🇺 ®™ @bernie006 · 32,796#83
Read from Telegram’s recommendation API, most recently 17 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.
apolut 🎙 podcast @tagesdosis_KenFM · 53,982 Telegram ranks this channel #1 of 86 here — alongside 85 others — read 24 August 2026
RPP Institut - Offiziell @rppinstitut · 62,122 Telegram ranks this channel #1 of 76 here — alongside 75 others — read 21 August 2026
Nuoviso @Nuoviso · 51,972 Telegram ranks this channel #3 of 80 here — alongside 79 others — read 24 August 2026
Paul Brandenburg @paulbrandenburg · 45,539 Telegram ranks this channel #4 of 80 here — alongside 79 others — read 27 August 2026
Corona_Fakten @Corona_Fakten · 48,637 Telegram ranks this channel #4 of 74 here — alongside 73 others — read 26 August 2026
Silberjunge Thorsten Schulte OFFIZIELL @silberjungethorstenschulte · 76,613 Telegram ranks this channel #4 of 82 here — alongside 81 others — read 19 August 2026
MMnews offiziell @mmnews_offiziell · 30,147 Telegram ranks this channel #8 of 85 here — alongside 84 others — read 7 September 2026
Dr. Michael Nehls @MichaelNehls · 31,942 Telegram ranks this channel #8 of 82 here — alongside 81 others — read 5 September 2026
Prof.Dr.Stefan Hockertz Original Wissenschaft @ProfHockertz · 54,563 Telegram ranks this channel #8 of 81 here — alongside 80 others — read 23 August 2026
Digitaler Chronist @DigitalChronist · 29,599 Telegram ranks this channel #9 of 80 here — alongside 79 others — read 8 September 2026
Anti-Spiegel - Offizieller Kanal @AntiSpiegel · 122,738 Telegram ranks this channel #9 of 87 here — alongside 86 others — read 15 August 2026
Epoch Times Deutsch @epochtimesde · 30,787 Telegram ranks this channel #10 of 78 here — alongside 77 others — read 6 September 2026
AUF1 @auf1tv · 273,992 Telegram ranks this channel #10 of 87 here — alongside 86 others — read 15 August 2026
COMPACT-Magazin @CompactMagazin · 77,632 Telegram ranks this channel #11 of 77 here — alongside 76 others — read 19 August 2026
▫️Rechtsanwältin Beate Bahner @rechtsanwaeltin_beate_bahner · 83,028 Telegram ranks this channel #12 of 85 here — alongside 84 others — read 18 August 2026
Ken Jebsen - Aufklärung und Information @kenjebsen · 123,661 Telegram ranks this channel #12 of 90 here — alongside 89 others — read 15 August 2026
Ignaz Bearth offiziell @ignazbearth · 33,277 Telegram ranks this channel #13 of 78 here — alongside 77 others — read 4 September 2026
Raik Garve @Gesundheitslehrer · 40,540 Telegram ranks this channel #13 of 73 here — alongside 72 others — read 30 August 2026
Bewusst TV - Jo Conrad @BewusstTV · 42,055 Telegram ranks this channel #13 of 71 here — alongside 70 others — read 29 August 2026
Dr. Daniele Ganser @DanieleGanser · 73,750 Telegram ranks this channel #14 of 85 here — alongside 84 others — read 19 August 2026
Reiner Fuellmich 🇩🇪/🇦🇹/🇨🇭 @ReinerFuellmich · 90,796 Telegram ranks this channel #14 of 84 here — alongside 83 others — read 17 August 2026
Friedrich - Partner Offizieller News Kanal @friedrichpartner · 29,250 Telegram ranks this channel #15 of 85 here — alongside 84 others — read 8 September 2026
Anwälte-für-Aufklärung @Anwaelte_fuer_Aufklaerung · 48,599 Telegram ranks this channel #15 of 80 here — alongside 79 others — read 26 August 2026
Kla.TV - Klagemauer TV @KlagemauerTV · 75,546 Telegram ranks this channel #15 of 82 here — alongside 81 others — read 19 August 2026
This channel appears in 80 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.
Domains linked from posts
5 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 7 September 2026 — this
entry's latest reading, not the date you are reading this.
“apolut.” (@apolut), 87,435 subscribers as measured 7 September 2026. Telegram Register, tgregister.com/channel/apolut.
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.