Telegram RegisterThe public register of Telegram

Channel

Die größten Gefahren für ihr Vermögen

@GroessteGefahren

On this record: Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

2,181subscribers

-6 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001219588102
TypeChannel
Username@GroessteGefahren
Created16 November 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/GroessteGefahren

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 3 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.

Growth

2,1812,1872,1846 August 2026 — 2,187 subscribers6 August 2026 — 2,187 subscribers10 August 2026 — 2,185 subscribers13 August 2026 — 2,181 subscribers6 August 202613 August 2026
4 measurements spanning 7 days, net -6. 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 2,180–2,188 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 08:382,181-4
10 Aug 2026, 00:022,185-2
6 Aug 2026, 11:202,187no change
6 Aug 2026, 10:452,187first reading

Engagement

22 posts held, back to 21 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
38.9%
avg views ÷ 2,181 subscribers
Avg views / post
849
22 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
22
of 22 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 7 August 2026
Posts held22 (21 July 20267 August 2026)
Views total18,671
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 16:52 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.

What this channel posts

Video runtime
38s
Average length
38s

Measured directly from 1 video 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.

Recent posts

7 Aug 2026, 14:55 UTC324 viewsread 7 August 2026

So bereiten Sie sich für den nächsten Crash vor ... (und er wird kommen) https://youtu.be/weLPCfCnVjw ___ Folgen Sie mir auf X: https://x.com/RealMarkusDan

7 Aug 2026, 02:52 UTC86 viewsread 7 August 2026

https://www.youtube.com/watch?v=MvUpmCEgams ___ Folgt mir auf X: https://x.com/RealMarkusDan

6 Aug 2026, 06:09 UTC113 viewsread 7 August 2026

https://www.youtube.com/watch?v=uFo2q8Zrnlg ___ Folgt mir auf X: https://x.com/RealMarkusDan

4 Aug 2026, 02:28 UTC176 viewsread 7 August 2026

https://www.youtube.com/watch?v=BZDiOJ2hIlA ___ Folgt mir auf X: https://x.com/RealMarkusDan

3 Aug 2026, 03:08 UTC200 viewsread 7 August 2026

https://www.youtube.com/watch?v=Ku0LEV1WFhA ___ Folgt mir auf X: https://x.com/RealMarkusDan

2 Aug 2026, 21:28 UTC≈1,850 viewsread 7 August 2026

Sie haben „Die Tribute von Panem“ gesehen und sich auf die Seite des Widerstands gestellt. Sie haben „Star Wars“ gesehen und sich auf die Seite des Widerstands gestellt. Sie haben „Matrix“ gesehen und sich auf die Seite des Widerstands gestellt. Sie haben „Die Bestimmung – Divergent“ gesehen und sich auf die Seite des Widerstands gestellt. Sie haben „V wie Vendetta“ gesehen und sich auf die Seite des Widerstands

1 Aug 2026, 20:30 UTC≈1,860 viewsread 7 August 2026

🇷🇺 Russland: Die Sowjetunion existiert nicht mehr, könnt ihr uns wie alle anderen in die NATO lassen? 🇺🇸 USA: Nein 🇷🇺 Russland: Okay, aber könnt ihr uns bitte nicht bedrohen, indem ihr die NATO nach Osten ausweitet? 🇺🇸 USA: Nein 🇷🇺 Russland: Gut, wir haben gesehen, dass ihr neue Raketensysteme entwickelt – lasst ihr uns daran mitarbeiten? 🇺🇸 USA: Nein 🇷🇺 Russland: Na gut, dann machen wir eben Hyperschallraketen

1 Aug 2026, 02:36 UTC198 viewsread 7 August 2026

https://www.youtube.com/watch?v=-86LScPm-L4 ___ Folgt mir auf X: https://x.com/RealMarkusDan

31 Jul 2026, 19:26 UTC≈1,800 viewsread 7 August 2026

Die halten uns für doof ... https://www.youtube.com/watch?v=GephUkNUs3s

29 Jul 2026, 06:34 UTC250 viewsread 7 August 2026

https://www.youtube.com/watch?v=u-tc8bQ0h9w ___ Folgt mir auf X: https://x.com/RealMarkusDan

29 Jul 2026, 06:22 UTC≈2,250 viewsread 7 August 2026
Photo

Israel zahlt Millionen, um KI zu manipulieren: Brad Parscales Einflussmaschine Die israelische Regierung führt eine Kampagne im Wert von 4,5 Millionen Dollar pro Monat durch, um zu beeinflussen, was KI-Chatbots über Israel sagen — und laut Drop Site funktioniert das. Der ehemalige Trump-Kampagnenmanager Brad Parscale steckt hinter 10 Websites, die für Israel erstellt wurden. Jede davon verbreitet eine andere Erzähl

Showing the 12 most recent of 22 posts we hold for @GroessteGefahren. 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 — 91,834 of 1,345,403entries 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

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.

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

“Die größten Gefahren für ihr Vermögen” (@GroessteGefahren), 2,181 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/GroessteGefahren.

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.