National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 73% 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 forms a group of 2 channels linked by matching posts. 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 (6 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 18 comparable posts for this entry, running 5 September 2025 to 24 December 2025. 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 2 channels, the one whose matching posts we hold earliest is @fsb_boutique — 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 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 2 registered channels linked by matching posts. 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.
65 measurements spanning 99 days, net -1,169. 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 34,365–35,884 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
12 Nov 2026, 21:48
34,540
-9
10 Nov 2026, 12:41
34,549
-28
9 Nov 2026, 03:16
34,577
-19
7 Nov 2026, 22:37
34,596
-10
6 Nov 2026, 22:06
34,606
-17
5 Nov 2026, 20:31
34,623
-8
4 Nov 2026, 22:11
34,631
-8
3 Nov 2026, 19:19
34,639
-6
2 Nov 2026, 19:38
34,645
-11
1 Nov 2026, 20:55
34,656
-7
31 Oct 2026, 18:00
34,663
-13
30 Oct 2026, 15:36
34,676
-15
29 Oct 2026, 15:27
34,691
-9
28 Oct 2026, 12:26
34,700
-8
27 Oct 2026, 10:18
34,708
-8
26 Oct 2026, 13:16
34,716
-9
25 Oct 2026, 13:29
34,725
-7
24 Oct 2026, 11:41
34,732
-13
23 Oct 2026, 09:44
34,745
-20
22 Oct 2026, 09:16
34,765
first reading
Engagement
19 posts held, back to 5 September 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 185 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 19 posts for this entry, the most recent from 24 December 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Photos
≈2,490
Videos
≈1,090
Links
≈3,480
Lifetime counters from Telegram’s own channel header, read 15 November 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
27s
Average length
14s
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.
Reaction mix
2,654 reactions across 19 posts, in 4 distinct kinds. The most used accounts for 39.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,058
39.9%
😡
775
29.2%
🤔
682
25.7%
👎
139
5.24%
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 19 of the 19 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 2,654 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 5 September 2025 to 24 December 2025, 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
3
across the posts below
Posts paid on
2
of 19 we hold a reading for · 11%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @fsb_boutique. 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 19 most recent posts we hold for this entry, published 5 September 2025 to 24 December 2025. 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.
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👍190😡33🤔12
Showing the 12 most recent of 19 posts we hold for @fsb_boutique. 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.
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 6 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 2 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.
ПОЛИТКУХНЯ @politica_kitchen · 27,429 Telegram ranks this channel #1 of 72 here — alongside 71 others — read 4 October 2026
Компромат ГРУПП @kompromat_group · 55,549 Telegram ranks this channel #3 of 72 here — alongside 71 others — read 4 October 2026
Комитетчик @kmnedr · 20,907 Telegram ranks this channel #3 of 85 here — alongside 84 others — read 24 September 2026
Компромат Групп @criminalru · 117,172 Telegram ranks this channel #3 of 93 here — alongside 92 others — read 14 August 2026
Прокурорские будни @anon_prok_press · 20,569 Telegram ranks this channel #4 of 86 here — alongside 85 others — read 26 September 2026
Картотека @kartotekaio · 282,403 Telegram ranks this channel #6 of 85 here — alongside 84 others — read 31 August 2026
Оперативный обзор @operobzor · 96,651 Telegram ranks this channel #8 of 86 here — alongside 85 others — read 16 August 2026
ПРАЙМ КРАЙМ @primecrimeofficial · 27,839 Telegram ranks this channel #9 of 76 here — alongside 75 others — read 11 September 2026
Компромат 2.0 :: Мы решаем, что является компроматом @kompr · 73,064 Telegram ranks this channel #9 of 94 here — alongside 93 others — read 26 August 2026
В адресах @vadresah · 29,704 Telegram ranks this channel #10 of 75 here — alongside 74 others — read 9 September 2026
Версия @VersiaRu · 28,976 Telegram ranks this channel #11 of 91 here — alongside 90 others — read 30 August 2026
Железный Феликс @iron_feliks · 99,156 Telegram ranks this channel #11 of 92 here — alongside 91 others — read 15 August 2026
МЕЛЬНИЦА @Melnitsa21 · 27,649 Telegram ranks this channel #12 of 80 here — alongside 79 others — read 12 September 2026
DOFA @ddofa · 201,820 Telegram ranks this channel #12 of 94 here — alongside 93 others — read 12 August 2026
GeneralSVR(reserv) @generalsvr2 · 62,773 Telegram ranks this channel #15 of 93 here — alongside 92 others — read 21 August 2026
СВОБОДНОЕ ДЫХАНИЕ -- ☢ЯДрёна WatchЬ‼️ @shingarkin · 24,447 Telegram ranks this channel #16 of 91 here — alongside 90 others — read 18 September 2026
Правдорубка @mincerchannel · 27,087 Telegram ranks this channel #18 of 86 here — alongside 85 others — read 11 September 2026
Новости ОРМ (МВД ПОЛИЦИЯ) @mvdnew · 38,475 Telegram ranks this channel #18 of 79 here — alongside 78 others — read 31 August 2026
Андрей Караулов*. Правда. @karaulov_pravda · 69,498 Telegram ranks this channel #18 of 86 here — alongside 85 others — read 20 August 2026
Новый Век @Wek_ru · 18,498 Telegram ranks this channel #20 of 94 here — alongside 93 others — read 3 October 2026
Другая История @drugaiaistoria · 32,915 Telegram ranks this channel #21 of 67 here — alongside 66 others — read 11 September 2026
Ростов.ком PRO @rostov_compro · 20,091 Telegram ranks this channel #22 of 91 here — alongside 90 others — read 29 September 2026
ПОЛИЦИЯ 2.0 @POLICE_2020 · 46,566 Telegram ranks this channel #22 of 85 here — alongside 84 others — read 26 August 2026
Полицейский подвал @police_podval · 21,813 Telegram ranks this channel #23 of 84 here — alongside 83 others — read 22 September 2026
This channel appears in 72 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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“Бутик ФСБ” (@fsb_boutique), 34,540 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/fsb_boutique.
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.
