Education — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 44% 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 4 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.
30 measurements spanning 43 days, net -222. 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 24,640–24,932 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)
Subscribers
Change
18 Sept 2026, 04:38
24,676
+2
14 Sept 2026, 08:57
24,674
-4
12 Sept 2026, 20:17
24,678
-10
10 Sept 2026, 20:56
24,688
-12
7 Sept 2026, 16:58
24,700
-24
4 Sept 2026, 15:01
24,724
-9
3 Sept 2026, 00:54
24,733
-4
2 Sept 2026, 00:29
24,737
-1
1 Sept 2026, 01:28
24,738
-9
29 Aug 2026, 21:34
24,747
-5
28 Aug 2026, 18:48
24,752
-5
26 Aug 2026, 21:25
24,757
-15
26 Aug 2026, 00:36
24,772
-7
25 Aug 2026, 03:48
24,779
-12
23 Aug 2026, 22:53
24,791
-15
22 Aug 2026, 03:37
24,806
-3
20 Aug 2026, 18:52
24,809
-12
19 Aug 2026, 20:56
24,821
-8
18 Aug 2026, 17:22
24,829
-9
17 Aug 2026, 14:54
24,838
first reading
Engagement
25 posts held, back to 6 January 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 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
11.4%
avg views ÷ 24,676 subscribers
Avg views / post
2,820
2 posts measured
Reaction rate
0.408%
reactions ÷ views · ER floor
Posts in window
2
of 25 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 31 August 2026
Posts held
25 (6 January 2026 – 31 August 2026)
Views total
5,640
Reactions total
23
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:39 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
12h 11m
Average length
30m 29s
Measured directly from 24 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
783 reactions across 25 posts, in 9 distinct kinds. The most used accounts for 61.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
485
61.9%
👍
169
21.6%
🙏
40
5.11%
👏
39
4.98%
😁
19
2.43%
🔥
17
2.17%
🤓
7
0.894%
🥰
6
0.766%
🤩
1
0.128%
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 25 of the 25 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 783 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 6 January 2026 to 31 August 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.
Thalus von Athos
Jasinski, Alf & Christa
Buch 6 - Kap. 29:
Gib Wissen nicht an Fraglose
über den Umgang mit #Wissen, #Kinesiologie und der richtigen #Anwendung von #Methoden, #Beobachtung, #Konzentration und das #Erkennen feiner #Unterschiede
#Leseempfehlung
- - -
weitere Hörproben:
#1 #2 #3 #4 #5 #6 #7 #8 #9 #10 Exzerpte: #1 #2 #3 #4
FrankBraun
> Bücher
#Wortschatzfindung
In einer Gesellschaft konkurrierender Traumatisierungen werden ständig neue Identifikationen und Schutzmaßnahmen erdacht, nicht weil der Mensch sich entwickelt, sondern weil er regrediert..
FrankBraun
Quelle1
Quelle2
#Wortschatzfindung
Leserbrief
Stellen wir uns einfach mal vor..
..Weniger intelligente Menschen müssten nicht mehr in die Politik, weil auch für sie ein menschenwürdiges Dasein gesichert ist, ohne größeren Schaden anzurichten..
FrankBraun
#Wortschaftzfindung
Aphorismen Chnopfloch 2026-08
"Es gibt bei weitem nicht genug Strom, um all die Arbeitsplätze durch KI zu ersetzen, die durch KI ersetzt werden sollen.
FrankBraun
Quelle
Harald Kautz
Was wird hier gespielt?! (2022)
Reupload (2026): "nimmt kein Blatt mehr vor den Mund"
0:00 Manipuliertes Bewusstsein & programmierte Identität
0:52 Ballrog integrieren statt den Schatten bekämpfen
6:35 Desinformation, Wahrheitsgefühl & innere Orientierung
10:25 Warum Seelen gerade jetzt inkarnieren
11:57 Nanobots im Nervensystem
15:51 Freier Wille zwischen Schicksal & göttlicher Führung
16:18 Geoe…
Harald Kautz: "Die Unterscheidung zwischen Retter und Täter ist dann einfach nicht mehr möglich!"
0:00 Begrüßung & die Frage nach dem 26. Juni 2026
0:37 Schicksalsdaten, Zyklen & die Erfahrung von 2012
2:39 Freier Wille, Seelenentscheidung & Beginn eines neuen Zyklus
3:33 Die „Klammer“ zwischen Februar & dem 26. Juni
4:25 Verlust einer kohärenten Wirklichkeit & Zweifel an Informationen
6:20 Widersprüchliche Weltgesc…
Wettbewerb braucht man in einer Gesellschaft dann, wenn einem nicht die Menschen wichtig sind, sondern die Ergebnisse.
[Gerald Hüther]
#Schulen #Wahlvolk #Darwin
FrankBraun
aus > Quelle
B&B #158 Burchardt & Böttcher
Mit Massenverblödungswaffen ins Endspiel?
00:30 5 Jahre B&B oder noch ein Nachspiel?
02:30 Enquete-Kommission für Frau Timmi
06:30 Sehnsucht nach Fritz & Olaf
08:00 Kein Platz für D im Unsicherheitsrat?
10:00 Mafiös: Putin, Co2-Erpresser & Big Pharma
13:00 Ketchup- & Rauchverbot im Freien
17:00 Knallchargen & gesteuertes De-Bunking
25:00 Schlag´s nach bei Breszinski
28:00 White Lives Ma…
❤21👍8🥰1
Showing the 12 most recent of 25 posts we hold for @DietrichKlinghardt. 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 13 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.
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 15 September 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.
Dr. Michael Nehls @MichaelNehls · 32,002 Telegram ranks this channel #29 of 82 here — alongside 81 others — read 5 September 2026
WissenSchafft Freiheit @WissenSchafftFreiheit · 46,287 Telegram ranks this channel #33 of 74 here — alongside 73 others — read 27 August 2026
Christina von Dreien Offiziell @christinavondreien · 27,151 Telegram ranks this channel #44 of 78 here — alongside 77 others — read 11 September 2026
FREQUENCY HUB 〰️, @Frequency_Hub · 34,617 Telegram ranks this channel #46 of 63 here — alongside 62 others — read 3 September 2026
Chlordioxid @Chlordioxid · 81,624 Telegram ranks this channel #52 of 84 here — alongside 83 others — read 18 August 2026
Sören Schumann - Gesundheit Ganzheitlich @soeren_schumann · 59,900 Telegram ranks this channel #54 of 69 here — alongside 68 others — read 22 August 2026
🇨🇭QS24 | Schweizer Gesundheitsfernsehen - Eine Perspektive mehr Gesundheit & Persönlichkeitsentwicklung. @QS24_tv · 27,104 Telegram ranks this channel #59 of 73 here — alongside 72 others — read 11 September 2026
Heiko Schöning offiziell @heiko_schoening · 33,925 Telegram ranks this channel #68 of 80 here — alongside 79 others — read 3 September 2026
This channel appears in 8 seed channels' Telegram-generated recommendation lists in total. 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Backup: Dietrich Klinghardt” (@DietrichKlinghardt), 24,676 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/DietrichKlinghardt.
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.