Englisch sprachige Videos - deutsch Synchronisiert. Die Videos aus den Projekten als Ergebnis der Video Übersetzungs Offensive.
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Created
30 January 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
International news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 79% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
13,900 average views per post against 8,164 subscribers — an engagement rate of 170.8%. Across the 499 registered channels in the same cohort — 3,165–9,899 subscribers, posting mainly in German — the middle half sit between 10.2% and 28.2%, with a median of 18.0%.
What this was computed from
Window
30 days (28 July 2026 – 27 August 2026)
Posts measured
79 of 79 published in the window (1 exact, 78 rounded by Telegram)
Views totalled
1,101,783
Mature posts only
177.4% over 72 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal.A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 27 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
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.
9 measurements spanning 20 days. 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 8,153–8,173 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
26 Aug 2026, 00:03
8,164
-2
23 Aug 2026, 07:08
8,166
-5
19 Aug 2026, 20:34
8,171
+9
16 Aug 2026, 17:55
8,162
+7
13 Aug 2026, 06:05
8,155
-5
9 Aug 2026, 22:12
8,160
-3
7 Aug 2026, 00:03
8,163
-1
6 Aug 2026, 03:03
8,164
no change
6 Aug 2026, 02:37
8,164
first reading
Engagement
79 posts held, back to 1 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 20 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
170.8%
avg views ÷ 8,164 subscribers
Avg views / post
13,900
79 posts measured
Reaction rate
0.035%
reactions ÷ views · ER floor
Posts in window
79
of 79 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. It is computed over the 74 of 79 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 26 August 2026
Posts held
79 (1 August 2026 – 26 August 2026)
Views total
1,101,783
Reactions total
374
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
26 Aug 2026, 20:23 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
Photos
≈15
Videos
≈366
Links
≈1,200
Lifetime counters from Telegram’s own channel header, read 26 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.
Video runtime
2m 09s
Average length
2m 09s
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.
Reaction mix
352 reactions across 69 posts, in 25 distinct kinds. The most used accounts for 34.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
122
34.7%
👍
97
27.6%
🔥
23
6.53%
🤡
13
3.69%
👏
12
3.41%
👎
11
3.13%
💯
11
3.13%
🥱
11
3.13%
😈
8
2.27%
🤮
8
2.27%
🤔
7
1.99%
💩
5
1.42%
🤷♀
5
1.42%
🖕
3
0.852%
🙏
3
0.852%
🌭
2
0.568%
🕊
2
0.568%
🦄
2
0.568%
⚡
1
0.284%
🎅
1
0.284%
5 further kinds
5
1.42%
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 74 of the 79 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 374reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 79 most recent posts we hold, published 1 August 2026 to 26 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.
Telegram Stars
Stars received
10
across the posts below
Posts paid on
1
of 79 we hold a reading for · 1%
Most on one post
10
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @VideoTranslateProjects. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 79 most recent posts we hold for this entry, published 1 August 2026 to 26 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
🎥🎼 Redacted News - 26.08.2026
🌎 Catherine Austin Fitts: Niemand ist auf das vorbereitet, was auf uns zukommt
"Catherine Austin Fitts vertritt die Ansicht, dass mächtige Kräfte in Washington „fest entschlossen sind,“ die amerikanische Bevölkerung über die Lebensmittelversorgung und Arzneimittel zu „vergiften“, und führt das Scheitern von Reformbemühungen als Beweis dafür an. Sie beobachtet eine wachsende globale und…
🎥🎼 Professor Jiang bei Danny Jones - 24.08.2026
🕹 „Sie kontrollieren Trump & Netanjahu“: Die geheime Familie, über die niemand spricht (Deutsch)
In diesem tiefgehenden Interview konfrontiert Danny Jones Professor Jiang Xueqin mit den wildesten Vorwürfen – von Spionage bis zu den verborgenen Machtnetzwerken, die die Weltpolitik lenken. Jiang erklärt, warum China in Mathematik dominiert, wie die Ein-Kind-Politik die…
🎥🎼 More Perfect Union - 24.08.2026
👁 Die 15 seltsamsten Mandela Effekte aller Zeiten, über die niemand spricht
"Erinnern Sie sich anders an die Warnhinweise auf Autospiegeln? Damit sind Sie vielleicht nicht allein.
Stellen Sie Ihr Gedächtnis anhand von 15 seltenen Mandela-Effekten auf die Probe und finden Sie heraus, ob die Details, an die Sie sich erinnern, noch mit den offiziellen Angaben übereinstimmen.
Dies i…
🎥🎼 More Perfect Union - 24.08.2026
🇺🇸 Wir haben den berüchtigtsten Geheimorden aufgedeckt: Und die Wahrheit ist schockierend
"Die Verschwörungstheorien sind wahr – eine kleine Gruppe von Eliten bestimmt die Agenda des Landes.
Es handelt sich um Milliardäre, Politiker, Richter und andere. Und sie treffen sich im privaten Camp „Bohemian Grove“.
Die Mitgliederliste ist geheim, aber Daniel Boguslaw hat uns eine volls…
🎥🎼 Redacted News - 24.08.2026
🇪🇺 Jetzt geht’s los! Eine Katastrophe wegen Dieselkraftstoff droht Europa
"Oberst Douglas Macgregor erörtert die Verschmelzung der Kriege in der Ukraine und im Nahen Osten und weist darauf hin, dass eine Annäherung zwischen der Ukraine und Israel die USA tiefer in den Konflikt hineinziehen könnte. Ein Schwerpunkt liegt auf den eskalierenden Spannungen zwischen Israel und der Türkei, ei…
🎥🎼 More Perfect Union - 24.08.2026
🇺🇸 Wir haben den Masterplan aufgedeckt, den Peter Thiel vor Ihnen verbergen will
"Peter Thiel finanziert ein Vorhaben, überall – von Gaza über Venezuela bis hin zu Kleinstädten in Kalifornien – privatisierte Stadtstaaten zu errichten.
Das Ziel besteht darin, Regierungen durch gewinnorientierte Unternehmen zu ersetzen.
Wir haben untersucht, wie Thiels Plan die Demokratie weltweit…
🎥🎼 The Missing Link with Shane Buell (10/2025) - 23.08.2026
🇺🇸 Gewagte These? Charlie Kirks vorgetäuschter Tod
"Ich trage einen immer größer werdenden Berg an Beweisen zusammen, die die Theorie von Kirks vorgetäuschtem Tod – auch bekannt als „Pseudocide“ – stützen, sowie die rechtlichen Konsequenzen, mit denen er aufgrund der Vortäuschung seines Todes rechnen müsste.
Außerdem weise ich auf einige der „33“ Ungereimt…
🎥🎼 Video Advice - 23.08.2026
👁 „Das Teufelsintervall, das uns krank macht“
"In der Musikwissenschaft wird es als „Teufelsintervall“ bezeichnet, wenn man 741 Hz mit 528 Hz kombiniert.
#nikolatesla, #528hz, #solfeggio, #528hzfrequency, #741hz
________________________________________________________________________
Vielen Dank an Dr. Leonard Horowitz. Schaut euch seine Arbeit an, ihr werdet begeistert sein – http://dr…
🎥🎼 The Young Turks - 23.08.2026
EXKLUSIV: Candace Owens spricht bei TYT über die Ermittlungen gegen Charlie Kirk
"Candace Owens geht mit Ana Kasparian bei „The Young Turks“ auf die Ungereimtheiten in den Ermittlungen zum Mord an Charlie Kirk ein. Stimmst du der Sichtweise von TYT zu? Sag uns in den Kommentaren unten, was du davon hältst."
Für Dich mit KI-Unterstützung auf deutsch übersetzt und vertont, der The You…
🎥🎼 Redacted News - 21.08.2026
🇺🇸🇮🇷🇮🇱 Oberst Macgregor: „Wir verloren diesen Krieg bereits, er ist vorbei“ – Iran warnt vor Katastrophe
"Oberst Douglas Macgregor vertritt die Ansicht, dass die Vereinigten Staaten den Krieg gegen den Iran strategisch verloren haben und es ihnen an einer kohärenten außenpolitischen Strategie mangelt, wobei er ihre Interessen mit denen Israels gleichsetzt. Er bezeichnet die aktuelle La…
🎥🎼 Larken Rose - 21.08.2026
❓Sind Polizisten der Feind?
"Vielleicht ist Ihnen schon einer der vielen Propaganda-Beiträge verschiedener Polizeibehörden aufgefallen, in denen die Polizisten eifrig betonen, dass sie nicht Ihre Feinde sind. Also … stimmt das?"
Für Dich mit KI-Unterstützung auf Deutsch übersetzt und vertont, der Larken Rose Beitrag vom 17. August 2026
🇩🇪 👉 *YouTube
🇺🇸 Quelle
*** Video Translate Proj…
❤5💯2
Showing the 12 most recent of 79 posts we hold for @VideoTranslateProjects. 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 — 20,495 of 1,621,754entries 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
Named by 67 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@VideoTranslateProjects named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@deeperstates named in 2 posts, 26 August 2026 – 27 August 2026
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.
🔎 Graphene Agenda 💉 @GrapheneAgenda · 71,176 Telegram ranks this channel #12 of 82 here — alongside 81 others — read 20 August 2026
🌘 Der andere Blickwinkel 🌒 @Blickwinkel · 74,035 Telegram ranks this channel #34 of 69 here — alongside 68 others — read 19 August 2026
Kla.TV - Klagemauer TV @KlagemauerTV · 75,622 Telegram ranks this channel #35 of 82 here — alongside 81 others — read 19 August 2026
Lichtweiser @lichtweiser · 45,813 Telegram ranks this channel #36 of 69 here — alongside 68 others — read 27 August 2026
Wahrheitsjäger @Wahrheits_jaeger · 83,510 Telegram ranks this channel #38 of 76 here — alongside 75 others — read 18 August 2026
WAS WIRKLICH IST - ENDE DER TÄUSCHUNG @waswirklichist · 59,904 Telegram ranks this channel #41 of 68 here — alongside 67 others — read 22 August 2026
Qlobal-Change 🫂 @QlobalChange · 94,050 Telegram ranks this channel #50 of 82 here — alongside 81 others — read 16 August 2026
RABBIT RESEARCH @rabbitresearch · 84,105 Telegram ranks this channel #58 of 82 here — alongside 81 others — read 18 August 2026
LION Media @LIONMediaNews · 134,795 Telegram ranks this channel #60 of 87 here — alongside 86 others — read 15 August 2026
MARKmobil @MARKmobil · 117,282 Telegram ranks this channel #77 of 86 here — alongside 85 others — read 15 August 2026
This channel appears in 10 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 26 August 2026 — this
entry's latest reading, not the date you are reading this.
“Video Translate Projects - Deutsch” (@VideoTranslateProjects), 8,164 subscribers as measured 26 August 2026. Telegram Register, tgregister.com/channel/VideoTranslateProjects.
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.