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 16 August 2026 and assigned it the closest of 31 fixed categories, at 62% 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 the other topics.
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 in near-verbatim form on 1 other registered channel. This entry also sits inside a group of 156 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. 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 (1 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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 21 comparable posts for this entry, running 14 June 2026 to 8 November 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).
Of the group of 156 channels, the one whose matching posts we hold earliest is @ProfSucharitBhakdi. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.
Views per post sit far above this size band
37,800 average views per post against 32,934 subscribers — an engagement rate of 114.9%. Across the 23,599 registered channels in the same cohort — 31,623–99,997 subscribers — the middle half sit between 2.65% and 15.1%, with a median of 6.81%.
What this was computed from
Window
30 days (6 October 2026 – 5 November 2026)
Posts measured
33 of 33 published in the window (0 exact, 33 rounded by Telegram)
Views totalled
1,248,540
Mature posts only
117.1% over 32 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 keys clone_source · err_high, last confirmed 11 November 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.
Channels linked by matching posts
This channel is in a group of 156 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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.
105 more channels are in this same group but not listed individually here.
Growth
62 measurements spanning 96 days, net +642. 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 32,096–33,094 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
10 Nov 2026, 00:39
32,979
+44
8 Nov 2026, 17:48
32,935
-3
7 Nov 2026, 12:34
32,938
+2
5 Nov 2026, 12:58
32,936
+2
4 Nov 2026, 10:11
32,934
-10
3 Nov 2026, 12:38
32,944
+14
2 Nov 2026, 11:31
32,930
+24
1 Nov 2026, 12:41
32,906
+26
31 Oct 2026, 09:31
32,880
+48
30 Oct 2026, 09:07
32,832
+9
29 Oct 2026, 12:41
32,823
-13
28 Oct 2026, 08:30
32,836
-10
27 Oct 2026, 09:19
32,846
-3
26 Oct 2026, 08:27
32,849
-9
25 Oct 2026, 05:10
32,858
+1
24 Oct 2026, 07:46
32,857
-1
23 Oct 2026, 09:34
32,858
+7
22 Oct 2026, 08:20
32,851
+7
20 Oct 2026, 23:27
32,844
+5
19 Oct 2026, 22:39
32,839
first reading
Engagement
88 posts held, back to 12 June 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 170 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
116.1%
avg views ÷ 32,979 subscribers
Avg views / post
38,300
27 posts measured
Reaction rate
1.38%
reactions ÷ views · ER floor
Posts in window
27
of 88 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
Window
Rolling 30 days · latest post in window 8 November 2026
Posts held
88 (12 June 2026 – 8 November 2026)
Views total
1,034,200
Reactions total
14,287
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 07:51 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
710
Videos
772
Links
930
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
1h 29m
Average length
1m 33s
Measured directly from 58 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
50,989 reactions across 88 posts, in 47 distinct kinds. The most used accounts for 31.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤣
16,091
31.6%
😁
8,732
17.1%
💯
7,435
14.6%
👍
4,327
8.49%
❤
3,691
7.24%
👏
3,461
6.79%
🔥
852
1.67%
🏆
792
1.55%
🤪
754
1.48%
🌭
659
1.29%
🤯
449
0.881%
🙈
437
0.857%
🍾
348
0.683%
🥰
318
0.624%
👌
242
0.475%
🍌
173
0.339%
💊
158
0.31%
🎉
157
0.308%
🦄
154
0.302%
👀
151
0.296%
27 further kinds
1,608
3.15%
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 88 of the 88 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 50,989 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 88 most recent posts we hold, published 12 June 2026 to 8 November 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
1,532
across the posts below
Posts paid on
81
of 88 we hold a reading for · 92%
Most on one post
513
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @snicklink3000. 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 88 most recent posts we hold for this entry, published 12 June 2026 to 8 November 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
Telegram’s own ‘edited’ marker: 1 of 27 posts held from the last 30 days (3.70%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Es liegt etwas in der Luft.
Fast jede sensible Seele spürt es.
Es geht VIEL weiter als die vorgeschobenen politischen und ideologischen Konflikte - jene "einfach zu greifenden" Ablenkungs-Fehden.
Es ist der Versuch einer graduellen, kollektiven Seelen-Enteignung.
Jedes Element einer gesunden Seele wird gleichzeitig angegriffen. Frage dich: Was braucht eine Seele um "gesund" und geerdet zu sein?
- Frieden: gebt ihn…
to be 100% honest:
ganz egal was für ein narzisstischer gockel trump ist... jeder andere präsident hätte den kongress verloren. krieg hin, krieg her, am ende wählen leute anhand der brieftasche. diese ist bei vielen dünner als noch vor 2 Jahren.
was wir in den nächsten jahren erleben werden ist ein perpetuum mobile aus extremem rückgang von arbeitsplätzen... und immer neuen schlaumeiern, die mehr jobs und weniger in…
Willkommen zu News in Affensprache:
Oranger Affe mächtig, weil gesagt "Affennachrichten fake!". Und Freund von Raketenaffe. Aber jetzt Affenhaus nicht mehr auf seiner Seite, weil Affen Kreuzchen bei anderer Banane gemacht.
Nasenaffe Angst, weil oranger Affe Freund.
Nasenaffe will machen Nachbars-Affengehege von Mullah-Affen kaputt mit Afftombombe weil großer Affe im Himmel ihm gesagt: aah-aah! Viele Bananen gezahlt a…
Schon lustig, wie herkömmliche Affen plötzlich denken sie seien die Krönung der Schöpfung... weil sie "Kühlschränke haben" oder "per Smartphone Pizza bestellen" 😅 Wenn man mal kurz ALLES runterbricht auf was es eigentlich IST, sind wir Primaten, die denselben Trieben folgen wie auch schon vor 200.000 Jahren.
Geburt. 80 jahrelang Nahrung in Energie umwandeln. Fortpflanzen. Stamm beschützen. Sterben.
Das war's. Der Re…
So etwas wie "Meinungsfreiheit" existiert nicht.
Hat es niemals. Zu keinem Zeitpunkt und an keinem Ort. Weder in der DDR, noch in der UdSSR, weder in den USA, Deutschland oder Timbuktu. Nirgendwo.
Kann es gar nicht. Soll es gar nicht.
Klar... wir können uns den ganzen Tag im Kreis drehen und darüber aufregen "wo sie plötzlich hin ist" und "wer sie einschränken will" - das ändert nichts daran, dass sie niemals existi…
Spürt ihr das eigentlich... wie jetzt "der Ruck" richtig losgeht? Wie sie einen Gang hochschalten? Wie sie jetzt wirklich ALLE spalten und radikalisieren wollen? Als wär alles bisherige bloß so 'ne art "Trainings-Level" gewesen? Ein kleiner Vorgeschmack...
Jetzt muss wirklich ALLES aktiviert werden, damit wir einander hassen... Blutrunst, Rache und Tod verlangen... mit Schaum vor dem Mund und feuer-roten Augen aufei…
❤590👏149💯98🤣16😈5
Showing the 12 most recent of 88 posts we hold for @snicklink3000. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republished by 81 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 15 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 5 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Ich hab mal eben durchgezählt, ich hab sie tatsächlich nicht mehr alle 🤪 @nichtmehralle · 21,104 Telegram ranks this channel #2 of 75 here — alongside 74 others — read 24 September 2026
Clownswelt @Clownswelt · 29,573 Telegram ranks this channel #2 of 79 here — alongside 78 others — read 7 September 2026
Lachen macht Freu(n)de @LachenMachtFreude · 37,111 Telegram ranks this channel #5 of 69 here — alongside 68 others — read 31 August 2026
Schwurblerhumor😁 @schwurblerhumor · 38,507 Telegram ranks this channel #11 of 70 here — alongside 69 others — read 31 August 2026
Lachkanal @Lachkanal · 40,336 Telegram ranks this channel #13 of 69 here — alongside 68 others — read 30 August 2026
Lustige Bilder & Videos @lustigebilderDE · 24,382 Telegram ranks this channel #17 of 64 here — alongside 63 others — read 16 September 2026
Trau keinem Promi offiziell @traukeinempromioffiziell · 39,153 Telegram ranks this channel #23 of 73 here — alongside 72 others — read 30 August 2026
Digitaler Chronist @DigitalChronist · 29,121 Telegram ranks this channel #36 of 80 here — alongside 79 others — read 8 September 2026
🇩🇪 Aktivist Mann & Team #Deutschland #Germany #activistman @aktivistmann · 23,409 Telegram ranks this channel #41 of 66 here — alongside 65 others — read 17 September 2026
Tim K. @timmkellner · 201,303 Telegram ranks this channel #43 of 86 here — alongside 85 others — read 15 August 2026
Nuoviso @Nuoviso · 51,369 Telegram ranks this channel #44 of 80 here — alongside 79 others — read 24 August 2026
Traugott Ickeroth - Der Sturm ist da! @ti_origin · 23,415 Telegram ranks this channel #46 of 70 here — alongside 69 others — read 18 September 2026
Krisenrat.info Peter Denk @krisenrat · 34,596 Telegram ranks this channel #46 of 64 here — alongside 63 others — read 2 September 2026
✠ ℤ𝕖𝕚𝕥𝕘𝕖𝕤𝕔𝕙𝕖𝕙𝕖𝕟 ✠ @Barbarossa_SMGI · 29,665 Telegram ranks this channel #47 of 75 here — alongside 74 others — read 7 September 2026
Horizont (YT: _horizont_ ) @horizont_telegram · 26,678 Telegram ranks this channel #49 of 76 here — alongside 75 others — read 12 September 2026
Unabhängige Nachrichten @nachrichtenportal · 25,541 Telegram ranks this channel #51 of 69 here — alongside 68 others — read 13 September 2026
MICHAEL WENDLER 🚨 & TEAM @michaelwendlerlive · 39,809 Telegram ranks this channel #51 of 69 here — alongside 68 others — read 29 August 2026
Alles was du zum Leben brauchst @AlleswasduzumLebenbrauchst · 29,225 Telegram ranks this channel #53 of 67 here — alongside 66 others — read 8 September 2026
MARKmobil @MARKmobil · 115,678 Telegram ranks this channel #53 of 86 here — alongside 85 others — read 15 August 2026
MetanoiaMagazin @MetanoiaMagazin · 38,663 Telegram ranks this channel #54 of 70 here — alongside 69 others — read 31 August 2026
JUNGE FREIHEIT @JUNGE_FREIHEIT_Official · 20,149 Telegram ranks this channel #57 of 81 here — alongside 80 others — read 28 September 2026
Bernie aus Australien 🇦🇺 ®™ @bernie006 · 32,307 Telegram ranks this channel #58 of 71 here — alongside 70 others — read 4 September 2026
Neverforgetniki @neverforgetnikiblog · 32,328 Telegram ranks this channel #59 of 79 here — alongside 78 others — read 29 September 2026
This channel appears in 62 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Snicklink unzensiert” (@snicklink3000), 32,979 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/snicklink3000.
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.
