Channel
@DieneDemLeben
On this record: Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Cite this entry
18,583subscribers
-19 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001285446620 |
|---|---|
| Type | Channel |
| Username | @DieneDemLeben |
| Description | Niemand muss jemandes Feind sein. Zur Beendung gesellschaftlicher Pandemien. Denn: "Wir, die Menschen wollen in Freiheit und Frieden, in Wahrhaftigkeit und mit Respekt zum Leben leben." (Natur kapieren, Natur kopieren.) IBAN: DE51 4401 0046 0406 4514 67 |
| Created | 31 May 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/DieneDemLeben |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 15:18 | 18,583 | -4 |
| 12 Aug 2026, 14:34 | 18,587 | -1 |
| 11 Aug 2026, 15:52 | 18,588 | -3 |
| 9 Aug 2026, 17:42 | 18,591 | -6 |
| 8 Aug 2026, 20:28 | 18,597 | -5 |
| 7 Aug 2026, 21:26 | 18,602 | +7 |
| 7 Aug 2026, 00:40 | 18,595 | -7 |
| 6 Aug 2026, 10:02 | 18,602 | no change |
| 6 Aug 2026, 09:53 | 18,602 | first reading |
24 posts held, back to 20 July 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 19 pagesof 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 12 August 2026 |
|---|---|
| Posts held | 24 (20 July 2026 – 12 August 2026) |
| Views total | 95,680 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 14 Aug 2026, 09:21 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.
Lifetime counters from Telegram’s own channel header, read 14 August 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.
Measured directly from 2 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.
[Typ/Thema]: Gesundheit – Biontech-Deal hinter den Kulissen? Neue Dokumente belasten Spahns Ministerium 🔗 Quelle: https://arakavanews.com/biontech-deal-hinter-den-kulissen-neue-dokumente-belasten-spahns-ministerium-2/ 📖 Die Story Die Akteure sind das Bundesgesundheitsministerium unter Jens Spahn und die Firma Biontech. Die Ausgangslage: Neue Dokumente tauchen auf, die zeigen sollen, wie hinter verschlossenen Türen…
Neue Corona-Akten Welche Rolle spielten Spahn, Lauterbach und das BMG? ▶️ JETZT ANSEHEN Neue Dokumente, alte Bücher – und plötzlich erscheinen viele Entscheidungen der Corona-Jahre in einem anderen Licht. Alexander Kühn spricht mit Dr. Sabine Stebel über ihre Auswertung von EU-Unterlagen, Regierungsdokumenten sowie den Büchern von Jens Spahn und Georg Mascolo. Im Zentrum steht die Frage: Wie stark war die Bundesreg…
[Analyse]/Buchbesprechung: Mascolos Augenzeugenbericht – Primärquelle oder Hofberichterstattung? 🔗 Quelle: https://arakavanews.com/katja-gloger-georg-mascolo-ausbruch-innenansichten-einer-pandemie-1/ 🎭 Worum es wirklich geht Georg Mascolo, der Haus- und Hofberichterstatter der Regierung, durfte als Augenzeuge an geheimen Sitzungen teilnehmen und schreibt nun ein Buch darüber. Der Autor des Artikels behandelt das W…
⬇️ ⬇️ ⬇️ Der bekannte Datenanalyst 📊🤓 Tom Lausen ist auf Vortragsreise 🦠 💉😷 Wie geht es den Menschen in Deutschland nach Corona, den Maßnahmen und der Impfkampagne, was hat sich vor allem mit den Geburten verändert und welche Bedeutung hat die Enquete Kommission? Eine Analyse gesundheitlicher Folgen der Corona-Zeit, der Maßnahmen und der Impfkampagne anhand aktueller Daten und was die Enquete Kommission davon hält. …
[Gesundheit]: EU-FOI-Dokumente Teil 3: Deutschlands Rolle bei der Impfstoffbeschaffung 🔗 Quelle: https://arakavanews.com/zusammenfassung-der-eu-freedom-of-information-dokumente-teil-3/ ⚡ In Kuerze Die Auswertung von 315 EU-FOI-Dokumenten zeigt einen frühen, eigenständigen bilateralen Kommunikationskanal zwischen dem Bundesministerium für Gesundheit (BMG) und BioNTech/Pfizer vor der offiziellen EU-Verhandlungsaufna…
[Gesundheit]: EU-Impfstoffbeschaffung: 315 geheime Protokolle ans Licht gezerrt 🔗 Quelle: https://arakavanews.com/the-eu-vaccines-procurement-steering-committee-the-joint-negotiation-team-protocolls/ ☕ Kurz erklaert Der Autor hat sich durch Mascolos Buch gekämpft und dann mit KI-Hilfe 315 PDFs der EU-Impfstoff-Verhandlungsprotokolle aufgestöbert – inklusive der Erkenntnis, dass selbst die Gesundheitsminister sich …
Moin, Mittwoch den 05.08.26, also morgen Abend, veranstalten Holger und Sabine wieder ein Zoom. Thema: HP Oliver Knefel zum Thema Ernährung und dem Aufbau unsers Ausbildungs- und Kompetenzzentrums bei Hamburg Sabine und Holger über ihre Experimente mit Boldo, Vanillin und Tulsitee. Beginn: 19:00 Uhr Einlass: 18:40 Uhr Teilnahme nur mit laufender Kamera möglich. Zoom Link: https://us06web.zoom.us/j/6712402921?pw…
[Analyse/Politik]: Spahn-Rückblick: „Wir werden uns viel verzeihen müssen“ – Teil 12, der Epilog 🔗 Quelle: https://arakavanews.com/jens-spahn-wir-werden-uns-viel-verzeihen-muessen-teil-12-epilog/ 🎭 Worum es wirklich geht Jens Spahn verabschiedet sich mit einem Buch, das er selbst als philosophischen Rückblick verkauft – der Autor dieser Artikelserie liest es eher als toxische Täter-Opfer-Umkehr. Spahn fordert „Ver…
[Typ/Thema]: Gesundheit: Jens Spahn – Vorwürfe der Mittäterschaft und systematischer Rechtsverstöße bei der COVID-19-Impfkampagne 🔗 Quelle: https://arakavanews.com/jens-spahn-wir-werden-uns-viel-verzeihen-muessen-teil-13/ 📌 Das Wesentliche Der Artikel präsentiert eine rechtliche Analyse von Rechtsanwalt Tobias Ulbrich, der Jens Spahn als Mittäter und nicht nur als Gehilfen bei einer Reihe von mutmaßlichen Straftat…
[Analyse/News]: Tonys Tagebuch: Faucis interne Notizen zum Virusursprung – Widersprüche und politische Dimension 🔗 Quelle: https://arakavanews.com/tonys-tagebuch-und-der-ursprung-des-virus/ 🔬 Befund Der Artikel analysiert Tagebucheinträge von Anthony Fauci aus dem Jahr 2021, die dessen wechselnde Positionen zur Herkunft von SARS-CoV-2 dokumentieren. Fauci bezeichnete die Laborursprungstheorie wiederholt als „Versc…
[Thema/Gesundheit]: Der interne Bericht von Major Joseph Murphy über Corona-Maßnahmen 🔗 Quelle: https://arakavanews.com/der-interne-bericht-von-major-joseph-murphy-aus-dem-august-2021/ 🎭 Worum es wirklich geht Das Dokument, um das es in diesem Tweet geht ist das Dokument 22-FRO-0457, der interne Bericht von Major Joseph Murphy vom 13.08.2021, der auf Basis geheimer DEFUSE-Unterlagen eine Verbindung zwischen US-Fo…
https://www.youtube.com/watch?v=SrBg5rpF4qo Michael Levins Forschungsarbeit lässt sich auf Basis seiner zahlreichen in der PubMed-Datenbank gelisteten Publikationen präzise in vier wissenschaftliche Kernbereiche zusammenfassen. Seine Studien verbinden Entwicklungsbiologie, Neurowissenschaften und Bioinformatik. [1, 2, 3, 4, 5] 1. Das bioelektrische Netzwerk als Steuerungscode (Morphogenese) Ein Großteil von Levins …
Showing the 12 most recent of 24 posts we hold for @DieneDemLeben. 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.
@DieneDemLeben edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank — 567,524 of 1,336,469entries 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.
Named by 5 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.
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Diene dem Leben” (@DieneDemLeben), 18,583 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/DieneDemLeben.
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.