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Channel

Brennpunkt 5G

@Brennpunkt5G

On this record: Growth · Engagement · Posts · Citations · Cite this entry

933subscribers

-1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001152227444
TypeChannel
Username@Brennpunkt5G
Created5 January 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/Brennpunkt5G

Growth

933934933.56 August 2026 — 934 subscribers6 August 2026 — 934 subscribers14 August 2026 — 933 subscribers6 August 202614 August 2026
3 measurements spanning 8 days, net -1. 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 933–934 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 17:55933-1
6 Aug 2026, 13:52934no change
6 Aug 2026, 09:54934first reading

Engagement

20 posts held, back to 16 February 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
52.4%
avg views ÷ 933 subscribers
Avg views / post
489
4 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
4
of 20 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
WindowRolling 30 days · latest post in window 24 July 2026
Posts held20 (16 February 202624 July 2026)
Views total1,957
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 13:52 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.

Recent posts

24 Jul 2026, 18:12 UTC221 viewsread 6 August 2026

Weniger Social Media, mehr Wohlbefinden: Ulmer Studie zeigt positive Effekte einer zeitweisen Reduktion https://www.uniklinik-ulm.de/aktuelles/detailansicht/weniger-social-media-mehr-wohlbefinden-ulmer-studie-zeigt-positive-effekte-einer-zeitweisen-reduktion.html

24 Jul 2026, 18:11 UTC730 viewsread 6 August 2026

Ulmer Studie zeigt "dramatische Veränderungen" durch weniger Social Media Immer online, ständig Scrollen - der Alltag vieler junger Menschen. Eine Studie aus Ulm zeigt: Schon ein Monat mit weniger Social Media kann reichen, um Stress zu senken und besser zu schlafen. https://www.swr.de/swraktuell/baden-wuerttemberg/ulm/social-media-detox-studie-ulm-100.html

24 Jul 2026, 18:02 UTC749 viewsread 6 August 2026

HIRNFORSCHER: „Wir produzieren behinderte Kinder“ 2012 wurde Prof. Dr. Manfred Spitzer für sein Buch Digitale Demenz noch als Kulturpessimist verspottet. Heute wissen wir, dass er die Auswirkungen sogar unterschätzt hat. In dieser Folge erklärt der Psychiater und Neurowissenschaftler, was tatsächlich mit unserem Gehirn passiert, wenn wir viel auf Bildschirme schauen, warum TikTok & Co. uns weniger empathisch machen

21 Jul 2026, 14:38 UTC257 viewsread 6 August 2026

https://demofueralle.de/wp-content/uploads/2025/08/Broschuere-Smartphone-END-klein.pdf

4 Jun 2026, 11:02 UTC472 viewsread 6 August 2026
Forwarded from @neuigkeiten_deVideo

🇨🇭 Der CEO von Nokia erklärt, dass bis 2030 „Smartphones direkt in unsere Körper implantiert werden“, da 6G vollständig einsatzbereit sein würde Präsident Trump hat gerade ein Memorandum zur Beschleunigung der Einführung von 6G unterzeichnet, mit dem erklärten Ziel, „implantierbare Technologien zu nutzen“. ❕ @neuigkeiten_de

22 May 2026, 06:34 UTC505 viewsread 6 August 2026

https://www.oecd.org/de/publications/besser-leben-kindliches-wohlergehen-in-einer-digitalen-welt-auszugsweise-ubersetzung_7aaf58dc-de/full-report/component-3.html

22 May 2026, 06:33 UTC512 viewsread 6 August 2026

Deutsche Kinder sind besonders viel am Bildschirm https://www.tagesschau.de/inland/gesellschaft/oecd-bildschirmzeit-kinder-100.html

17 May 2026, 18:03 UTC438 viewsread 6 August 2026
Forwarded from @EventorumTV

Hier die Einzelvorträge aus dem MWGFD Pressesymposium „5G, 6G … immer weiter so?“ 👉Prof. Dr. Werner Bergholz Mobilfunktechnologie: Physikalische Grundlagen und technische Vorteile von 5G 👉Prof. Dr. Klaus Buchner Erbschäden und Missbildungen bei Tieren durch Funkstrahlung 👉Dr. Claus Scheingraber Mobilfunk und die erhöhten gesundheitlichen Risiken durch 5G 👉Klaus Scheidsteger (Journalist) Zwischen Verharmlosung, Ig

3 May 2026, 06:14 UTC402 viewsread 6 August 2026

Hier der link zur kompletten Aufzeichnung des Pressesymposium des MWGFD vom 2. Mai 2026 in Vilsbiburg

3 May 2026, 06:14 UTC445 viewsread 6 August 2026

https://rumble.com/v798ysw-live-pressesymposium-mwgfd-zum-thema-5g-6g-immer-weiter-so.html

3 May 2026, 06:14 UTC432 viewsread 6 August 2026

...es war ein hoch-erfreuliches Beispiel von konstruktiver Vernetzung von politisch und wissenschaftlich kritischen und verantwortungsvollen Bürgern in unserem Land. Einfach vorbildlich. Eine Wohltat, den Raum mit diesen Menschen teilen zu dürfen. Ehrenamtliches Engagement für das Gemeinwohl, gegenseitige Wertschätzung in wacher Präsenz. Prädikat wertvoll! 🥰🙏

11 Apr 2026, 05:21 UTC684 viewsread 6 August 2026

Pressesymposium 5G,6G ... immer weiter so? - MWGFD https://www.mwgfd.org/2026/03/pressesymposium-5g6g-immer-weiter-so/

Showing the 12 most recent of 20 posts we hold for @Brennpunkt5G. 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.

Citation-graph rank

Citation-graph rank — 1,122,204 of 1,566,395entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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

Names

Channels on the register whose handles appear in this channel's posts.

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.

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“Brennpunkt 5G” (@Brennpunkt5G), 933 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Brennpunkt5G.

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.