Channel
@achern_weiss_bescheid
On this record: Growth · Engagement · Posts · Citations · Cite this entry
1,050subscribers
-3 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001244071856 |
|---|---|
| Type | Channel |
| Username | @achern_weiss_bescheid |
| Created | 5 February 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 16 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 16 August 2026 |
| On Telegram | t.me/achern_weiss_bescheid |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Aug 2026, 17:34 | 1,050 | -3 |
| 13 Aug 2026, 09:46 | 1,053 | +1 |
| 10 Aug 2026, 02:41 | 1,052 | -1 |
| 6 Aug 2026, 12:50 | 1,053 | no change |
| 6 Aug 2026, 09:50 | 1,053 | first reading |
17 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 1 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 17 (3 August 2026 – 6 August 2026) |
| Views total | 1,940 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 12:50 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.
schon fast historischer Moment 😳 Im Mainstream wird 'Turbo-Krebs' mit der Covid-Impfung in Verbindung gebracht (🇩🇪dt. Untertitel) Der „Turbokrebs“ ist in den Nachrichten der Mainstream-Medien angekommen, und Fox News 45 Baltimore hat den gecancelten Arzt Paul Marik eingeladen, um darüber zu sprechen. 🗣 „Es scheint einen Zusammenhang zu geben zwischen ... Impfungen, insbesondere den Auffrischungsimpfungen, und der E…
schon fast historischer Moment 😳 Im Mainstream wird 'Turbo-Krebs' mit der Covid-Impfung in Verbindung gebracht (🇩🇪dt. Untertitel) Der „Turbokrebs“ ist in den Nachrichten der Mainstream-Medien angekommen, und Fox News 45 Baltimore hat den gecancelten Arzt Paul Marik eingeladen, um darüber zu sprechen. 🗣 „Es scheint einen Zusammenhang zu geben zwischen ... Impfungen, insbesondere den Auffrischungsimpfungen, und der E…
Willkommen in der Welt der „wissenschaftlichen“ Fantasie ☀️ Britischer Wetterdienst wurde dabei ertappt, Daten von 100 nicht existierenden Wetterstationen zu nutzen, um ihre Klimaberichte zu stützen Das UK Met Office (der nationale Wetterdienst Großbritanniens) wurde dabei erwischt, Temperaturdaten von 100 fiktiven Wetterstationen zu erfinden, um ihre Klimaberichte zu stützen. Noch brisanter ist die Tatsache, dass …
alte Bücher gut aufheben 🌤 "Das Wetter in Deutschland" (1947) widerlegt Mainstream-Behauptungen von angeblichen Temperatur-Rekorden Deswegen ist es so wichtig alte Brockhaus-Sammlungen, Lexika, Sachbücher (ja selbst fiktionale Romane) aufzuheben und auf gar keinen Fall wegzuschmeissen. Niemand hätte früher daran gedacht, dass über das Wetter gelogen werden wird oder wieviel Geschlechter es beim Menschen gibt. Teile…
Klimawandel „abgesagt“ ☀️🍁🥶🌷 Der Weltklimarat (IPCC) hat laut aktuellen Modellrechnungen seine langfristigen Temperaturprojektionen nach unten angepasst. Ach was!? Einige Wissenschaftler sehen darin ein Zeichen, dass frühere Szenarien möglicherweise zu pessimistisch waren. Es zeigt, wie wichtig es ist, wissenschaftliche Erkenntnisse immer wieder kritisch zu überprüfen und neue Daten einzubeziehen. https://weltwoche…
Rote Linien Die Menschen kennen keine roten Linien mehr - weder bei dem, was man ihnen antut, noch bei dem, was sie anderen antun. www.achern-weiss-bescheid.de
Klimawandel „abgesagt“ ☀️🍁🥶🌷 Der Weltklimarat (IPCC) hat laut aktuellen Modellrechnungen seine langfristigen Temperaturprojektionen nach unten angepasst. Ach was!? Einige Wissenschaftler sehen darin ein Zeichen, dass frühere Szenarien möglicherweise zu pessimistisch waren. Es zeigt, wie wichtig es ist, wissenschaftliche Erkenntnisse immer wieder kritisch zu überprüfen und neue Daten einzubeziehen. https://weltwoche…
🌞 1959, 1967 oder 1974 gab es bei uns wochenlang die Hitze so um 35 Grad und mehr 🎬 Kaitag am Freitag mit Kai Orak der besondere Nachrichten - Überblick A U F W A C H K A N A L ❗️ d e i n e r o t e P i l l e . . .
Bundestag - krasse Enthüllung: Millionen für Totalversager, Milliarden in die eigene Tasche! Bundestag als Selbstbedienungsladen für Unfähige. Wie sich MdBs die Taschen füllen! – Diese Zahlen schockieren. Ex-Abgeordnete Joana Cotar mit krassen Details. Kind der DDR 👫
37 Grad | ZDF Zwischen uns die Wahrheit - Einzeldoku 04.08.2026 · 22:15 Uhr · 44:02 Debatten über Corona, Kriege oder verborgene Interessen bestimmter Akteure spalten nicht nur in Talkshows; sie belasten Familien und Freundschaften. Was bleibt, wenn jeder seine eigene Wahrheit hat? 👉 mit Fritz Düker
1918 Spanische Grippe-Experiment – Injektion von Bakterien und Ausscheidung von Impfstoffen… — Jack Raven Folge: @Verbotene_Historie ✅
Das Malone-Rogan-Interview ist damit nicht nur ein Dokument über COVID-19, sondern der historische Wendepunkt, an dem der Informationskrieg zwischen etablierten Institutionen und unabhängigen Netzwerken vollends öffentlich ausbrach. https://x.com/RealWsiegrist/status/2084725738100375619?s=20 Negative Wirksamkeit der Covid-Impfstoffe https://waltisiegrist.locals.com/post/2730871/negative-wirksamkeit-der-covid-impfsto…
Showing the 12 most recent of 17 posts we hold for @achern_weiss_bescheid. 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 — 1,014,960 of 1,480,975entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
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 16 August 2026 — this entry's latest reading, not the date you are reading this.
“www.achern-weiss-bescheid.de” (@achern_weiss_bescheid), 1,050 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/achern_weiss_bescheid.
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.