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Channel

VERBORGENE GESCHICHTE 🇩🇪

@Verborgene_Geschichte

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry

78,749subscribers

+4,656 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1003140465382
TypeChannel
Username@Verborgene_Geschichte
CreatedBetween 1 September 2025 and 30 November 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live19 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/Verborgene_Geschichte

Topic

Other / unclassifiable — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 83% 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.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (4 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Verborgene_Geschichte/1116 · this entry1 Aug 2026, 11:51 UTC@FreieEnergieDeutschland/12971 Aug 2026, 12:33 UTC1.0043 minutes
@Verborgene_Geschichte/1120 · this entry2 Aug 2026, 11:44 UTC@FreieEnergieDeutschland/13012 Aug 2026, 12:19 UTC1.0035 minutes
@Verborgene_Geschichte/1124 · this entry3 Aug 2026, 11:55 UTC@FreieEnergieDeutschland/13053 Aug 2026, 12:20 UTC1.0025 minutes
@Verborgene_Geschichte/1133 · this entry5 Aug 2026, 11:55 UTC@FreieEnergieDeutschland/13135 Aug 2026, 12:26 UTC1.0031 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@FreieEnergieDeutschland7 (7/7 hand-verifiable sample passed)1.0043 minutesthis entry (61)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 27 comparable posts for this entry, running 1 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @Verborgene_Geschichte — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 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 1 other registered channel, 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

74,09378,74976,4216 August 2026 — 74,093 subscribers6 August 2026 — 74,129 subscribers7 August 2026 — 74,204 subscribers8 August 2026 — 74,303 subscribers9 August 2026 — 74,413 subscribers10 August 2026 — 74,554 subscribers11 August 2026 — 74,603 subscribers12 August 2026 — 74,620 subscribers13 August 2026 — 74,776 subscribers14 August 2026 — 74,915 subscribers16 August 2026 — 74,956 subscribers17 August 2026 — 75,124 subscribers18 August 2026 — 75,233 subscribers19 August 2026 — 75,286 subscribers20 August 2026 — 75,293 subscribers22 August 2026 — 75,516 subscribers23 August 2026 — 75,578 subscribers25 August 2026 — 75,522 subscribers25 August 2026 — 75,509 subscribers26 August 2026 — 75,563 subscribers27 August 2026 — 75,612 subscribers28 August 2026 — 75,926 subscribers29 August 2026 — 76,373 subscribers30 August 2026 — 76,805 subscribers1 September 2026 — 77,096 subscribers2 September 2026 — 77,411 subscribers3 September 2026 — 77,585 subscribers5 September 2026 — 77,761 subscribers8 September 2026 — 78,211 subscribers11 September 2026 — 78,416 subscribers13 September 2026 — 78,595 subscribers14 September 2026 — 78,573 subscribers16 September 2026 — 78,635 subscribers19 September 2026 — 78,749 subscribers6 August 202619 September 2026
34 measurements spanning 44 days, net +4,656. 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 73,395–79,447 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
19 Sept 2026, 00:2078,749+114
16 Sept 2026, 13:5678,635+62
14 Sept 2026, 16:1778,573-22
13 Sept 2026, 04:3978,595+179
11 Sept 2026, 03:3778,416+205
8 Sept 2026, 02:2178,211+450
5 Sept 2026, 01:5677,761+176
3 Sept 2026, 09:1477,585+174
2 Sept 2026, 04:0777,411+315
1 Sept 2026, 02:1377,096+291
30 Aug 2026, 22:3676,805+432
29 Aug 2026, 19:4576,373+447
28 Aug 2026, 19:0775,926+314
27 Aug 2026, 15:4575,612+49
26 Aug 2026, 18:0775,563+54
25 Aug 2026, 21:2875,509-13
25 Aug 2026, 00:3675,522-56
23 Aug 2026, 10:2375,578+62
22 Aug 2026, 00:2275,516+223
20 Aug 2026, 19:0175,293first reading

Engagement

194 posts held, back to 1 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 80 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
24.1%
avg views ÷ 78,749 subscribers
Avg views / post
19,000
96 posts measured
Reaction rate
0.841%
reactions ÷ views · ER floor
Posts in window
96
of 194 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 14 September 2026
Posts held194 (1 August 202614 September 2026)
Views total1,820,810
Reactions total15,304
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Sept 2026, 08:50 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.

What this channel posts

Video runtime
55h 05m
Average length
27m 19s

Measured directly from 121 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.

Reaction mix

35,992 reactions across 187 posts, in 33 distinct kinds. The most used accounts for 34.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍12,24734.0%
12,05433.5%
💯4,70813.1%
🤔1,7134.76%
🔥1,4113.92%
😢1,0432.90%
👏7442.07%
🤯6311.75%
😁4411.23%
🙏2250.625%
🦄1700.472%
🎅1210.336%
🌚880.244%
😱880.244%
👀410.114%
🕊380.106%
😨370.103%
🙊300.083%
🥰260.072%
👌250.069%
13 further kinds1110.308%

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 194 of the 194 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 37,977 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 194 most recent posts we hold, published 1 August 2026 to 14 September 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
14
across the posts below
Posts paid on
13
of 194 we hold a reading for · 7%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Verborgene_Geschichte. 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 194 most recent posts we hold for this entry, published 1 August 2026 to 14 September 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.

Recent posts

14 Sept 2026, 08:32 UTC≈1,040 views14 reactionsread 14 September 2026

Der vergessene mittelalterliche "biphasische Schlaf" Jahrtausendelang haben die Menschen in zwei Phasen geschlafen - einmal am Abend und einmal am Morgen. Aber warum? Und wie ist diese Gewohnheit verschwunden? Ursprünglich hatte Ekirch für ein Buch über die Geschichte der Nacht recherchiert und dabei Aufzeichnungen aus der Zeit zwischen dem frühen Mittelalter und der industriellen Revolution durchgesehen. Nach ein

7👍5🔥2

14 Sept 2026, 07:30 UTC≈3,410 views35 reactionsread 14 September 2026
Photo

– Warum ist er gestorben? – Er ging zur Apotheke Ioan Sato ist Chinas berühmtester Arzt, der bewiesen hat, dass Menschen nicht an Krankheiten sterben, sondern an Medikamenten Er hat ein System von Übungen entwickelt, mit denen man in 3 Minuten Diabetes behandeln, den Blutdruck senken, dickflüssiges Blut entfernen und sogar das Sehvermögen wiederherstellen kann. Sie finden es auf seinem Kanal. Nach einem Tag: Krebs

20👍11🔥2👏1🥰1

14 Sept 2026, 04:59 UTC≈6,550 views39 reactionsread 14 September 2026
Video

Der Fluch von Kanaan, gesprochen von DWD — Thomas Berger Abonniere und entdecke mehr: @Verborgene_Geschichte

27🕊9🎃1🤩1🦄1

13 Sept 2026, 12:50 UTC≈12,300 views207 reactionsread 14 September 2026
Photo

Warum die Gravitationstheorie fragwürdig ist und Dichte alles erklärt! 1. Unsichtbare Anziehungskraft? Ernsthaft? Glaubst du wirklich an eine mysteriöse Kraft, die alles nach unten zieht? Kannst du sie sehen oder messen? Wohl kaum. 2. Dichte ist messbar und logisch Dichte = Masse pro Volumen. Einfach, klar, wiederholbar. Kein esoterisches Kraftfeld erforderlich. 3. Hammer vs. Heliumballon Ein Hammer ist dichter al

111👍59💯24😁11🔥2

13 Sept 2026, 11:40 UTC≈11,600 views57 reactionsread 14 September 2026
Video

👀 Wenn du immer häufiger die Augen zusammenkneifst, Texte näher an deine Augen hältst oder Gesichter in der Ferne schlechter erkennst, solltest du das nicht einfach auf Alter oder Müdigkeit schieben. ⚠️ Deine Sehkraft kann sich schleichend verschlechtern – und oft bemerkst du es erst, wenn es deinen Alltag bereits beeinträchtigt. 🔬 Es gibt einen wenig bekannten Ansatz rund um die Mechanismen des Sehens und der Rege

🤔3017😁5🔥3👍2

13 Sept 2026, 08:04 UTC≈13,700 views230 reactionsread 14 September 2026
Photo

Das große Geheimnis über Pflanzen Pflanzen besitzen eine übermenschliche Intelligenz. Wenn du deinen Speichel auf den Samen einer essbaren Pflanze gibst und ihn dann in die Erde setzt, geschieht etwas Spektakuläres. Während der Samen deinen Speichel aufnimmt, beginnt er, deine DNA zu lesen und seinen eigenen genetischen Bauplan anzupassen, um ein Superfood zu werden, das speziell auf deine Mängel und Bedürfnisse ab

👍14951💯16👏8🤯6

13 Sept 2026, 04:59 UTC≈12,700 views69 reactionsread 14 September 2026
Video

raum&zeit Studio Talk: Die Wiederentdeckung eines neuen revolutionären wissenschaftlichen Weltbildes Dr. Immanuel Velikovsky (1895–1979) schrieb mit seinem Buch "Welten im Zusammenstoss" eines der bedeutendsten und umstrittensten Sachbücher der Wissenschaft. Seine interdisziplinären Forschungen sind eine Synthese von Naturwissenschaft, Sagenwelt und Religion. Das Ergebnis ist ein neues Weltbild, das an der modernen

48👍16🎅3🔥2

13 Sept 2026, 04:59 UTC≈12,600 views165 reactionsread 14 September 2026

Jesuitenpriester Alberto Rivera: "Der Vatikan schuf den Islam!" Alberto Rivera war Jesuitenpriester, bis er sich lossagte und erzählte, was er aus seiner Zeit als Priester in der Gesellschaft Jesu wusste, zu der auch der Zugang zu den geheimen Bibliotheken des Vatikans gehörte. Dafür wurde er ermordet, wie auch andere ehemalige Jesuitenpriester vergiftet wurden. "Was ich Ihnen erzählen werde, ist das, was ich in ge

🤔7345💯23👍15🤯9

13 Sept 2026, 04:55 UTC≈12,400 views236 reactionsread 14 September 2026
Photo

Im Mai 2002 vergruben Schüler eines Gymnasiums in Berlin-KREUZBERG eine Zeitkapsel für das Jahr 2026. Normalerweise findet man darin alte Bravo-Hefte, Euro-Münzen oder Wünsche für die Zukunft. Doch der Brief des damals 10-jährigen Lukas Schmidt versetzte selbst Historiker in Staunen. Mit kindlicher Handschrift und Buntstiften beschrieb Lukas Ereignisse, die damals völlig unmöglich schienen: die weltweite Pandemie 20

138👍61🎅15😁13😎9

12 Sept 2026, 12:01 UTC≈15,000 views119 reactionsread 14 September 2026
Video

Medizingeschichte verstehen! - Dr. Michaela Dane "Warum gibt es für die meisten chronischen Krankheiten keine ursächlichen Heilmethoden in der Schulmedizin? Gab es in vergangen Epochen der Menschheitsgeschichte schon Hochkulturen mit einer fortschrittlichen Medizin? Dr. Michaela Dane nimmt uns mit auf eine Reise von der Vergangenheit bis in die Gegenwart. Dabei erfahren wir von Insider-Informationen aus fast schon v

97👏18🤯2🤓1🦄1

12 Sept 2026, 09:06 UTC≈7,410 views123 reactionsread 14 September 2026
Forwarded from @Verbotene_HistorieVideo

Wie man Inkassounternehmen loswird --- Betreff: Formelles Forderungsbestätigungsgesuch – Konto: [Kontonummer einfügen] An [Name des Inkassounternehmens], Ich schreibe Ihnen in Bezug auf Ihre Mitteilung bezüglich der oben genannten Forderung. Ich bestreite diese Forderung und beantrage hiermit formell die Bestätigung gemäß meinen Rechten nach dem Fair Debt Collection Practices Act (FDCPA), 15 USC §1692g. Ich verl

👍7442🎅4😁2👏1

12 Sept 2026, 08:04 UTC≈14,200 views75 reactionsread 14 September 2026
Photo

🔴1️⃣2️⃣3️⃣4️⃣🔴 Krebs, Leukämie, Parkinson, Demenz – 99 % aller Krankheiten lassen sich im Voraus OHNE medizinische Eingriffe erkennen! Darüber und noch viel mehr berichtet die renommierte Ärztin Petra. Auf ihrem Kanal beantwortet sie die Fragen ganz normaler Menschen und bewahrt ihnen so ihre Gesundheit und enorme Geldsummen. 🦠 Diese Blutdrucktabletten bringen dich um (Titel) 🦠 Mit 40 sind die Gelenke zu 97 % abg

57🤔11🎅4🎃2🔥1

Showing the 12 most recent of 194 posts we hold for @Verborgene_Geschichte. 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.

Posts edited after publishing

@Verborgene_Geschichte 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.

First edit seen
12 September 2026
Most recent edit
12 September 2026

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republished by 118 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

Das Deutsche Reich 1871- heute von Dr. Matthes Peter Haug
@DasDeutscheReich1871M_P_Haug · 15,485
7 posts
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@Nitro1966 · 65
6 posts
💖🙏💖Strahlenkranz V....Merci Danke
@mh171702Q2Q · 12,530
4 posts
EXCEEDLIMITS_Bildung & Forschung
@EXCEEDLIMITS_BILDUNG_FORSCHUNG · 3
3 posts
Verbotene Historie
@Verbotene_Historie · 84,618
3 posts
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@buergerwieduundich · 771
3 posts
metaHeilraum
@metaheilraum · 8
3 posts
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@ogskanal · 101
3 posts
Bäuerin Lucy
@Bauerin_Lucy · 36,328
2 posts
Dunkel_Wald
@Dunkel_Wald · 5
2 posts
FREIE ENERGIE⚡️
@FreieEnergieDeutschland · 76,373
2 posts
Vom Suchen zum Finden ...🧚‍♂️
@Yvanna8Mo · 8
2 posts
sathya yuga
@dernexus · 7,677
2 posts
Von Herz zu Herz
@herzensbereich · 12
2 posts
Marit's News
@marits_news · 28
2 posts
Dr. med. Carola Javid- Kistel MITEINANDER MUTIG SEIN- ÄRZTE STEHEN AUF FÜR PATIENTEN.....🙏❤
@miteinander_mutig_sein · 27,312
2 posts
Nachdenk-Geschichten
@nachdenkgeschichten · 114
2 posts
▫️Rechtsanwältin Beate Bahner
@rechtsanwaeltin_beate_bahner · 82,818
2 posts
Catweazle
@shgxp · 19
2 posts
Train_your_brain
@trainyourbrain31 · 41
2 posts
uskerngesund
@uskerngesund · 3
2 posts
weg mit dem System (Ersatzkanal)
@wegmitdemsystemErsatzkanal · 13,327
2 posts
Wo drückt der Schuh ?
@wodruecktderSchuh · 318
2 posts
WWG1WGA-Swiss
@wwg1wwga_Swiss · 123
2 posts
Der Zwergenrat
@zwergenrat · 120
2 posts
Babr's Allerlei
@Babrs_allerlei · 14
1 post
Q COLOGNE 🕊🔊
@CQLQGNE · 422
1 post
Verstand Natur Vernunft
@Denke · 12
1 post
Der Akupunkteur
@Der_Akupunkteur · 816
1 post
Die Menschheit erwacht
@DieMenschheitErwacht · 11,011
1 post
Die Weisse Rose
@DieWeisseRose · 280
1 post
Die Rebellion {stay critical) ⚫️⚪️🔴➕⚪️🔵🔴
@DieWiderstandsRebellen · 26
1 post
Die Würdigen
@Die_Wuerdigen · 12
1 post
Dokus Unzensiert
@DokusUnzensiert · 74
1 post
Don Qnebels Expertenrunde
@DonQnebel · 35
1 post
EXCEEDLIMITS - Résine & Gesundheitskultur
@EXCEEDLIMITS_GESUNDHEIT · 7
1 post
Bewusstsein & Heilung
@Edelmann_Anke · 172
1 post
European Native Church
@European_Native_Curch · 86
1 post
Exitmatrix.net
@ExitMatrixNet · 30
1 post
Stefan 👍🍀🌞🙏
@alraskar369 · 9
1 post
🐝BeeHealthy 🥗
@beeehealthy · 1,464
1 post
BEGAB - Gablitz
@begab_buergerentscheide_gablitz · 13
1 post
Bibi Blogsberg
@bibiblogsberg · 154
1 post
📯 BÜRGERINFORMATIVE - 🗞 News
@buergerinformative · 7,766
1 post
❤️⬛️⬜️🟥 Gabriele Curschmann-Käsinger
@curschmann_kaesinger · 8,497
1 post
DasBesteKommtNoch
@dasbestekommtnoch · 5
1 post
Schdorsch
@deschdorsch · 8
1 post
ERDAKUPUNKTUR "Ort der Kraft"🕊
@erdakupunktur · 189
1 post

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 135 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.

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“VERBORGENE GESCHICHTE 🇩🇪” (@Verborgene_Geschichte), 78,749 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/Verborgene_Geschichte.

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.