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Channel

СВР ФОНД

@svrfond

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

8,967subscribers

-101 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001845286827
TypeChannel
Username@svrfond
DescriptionПерсональный Фонд Владимира Соловьева
Created18 November 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live9 November 2026
Measurements held24
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/svrfond

Topic

Politics & activism — 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 94% 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 234 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 (4 of the pairs behind the counts below)
Posted firstThenOverlapGap
@svrfond/688 · this entry7 Jul 2026, 16:49 UTC@solovievlive/3761857 Jul 2026, 17:31 UTC1.0041 minutes
@svrfond/689 · this entry8 Jul 2026, 16:34 UTC@solovievlive/3763618 Jul 2026, 17:41 UTC1.0067 minutes
@svrfond/692 · this entry15 Jul 2026, 16:31 UTC@solovievlive/37720715 Jul 2026, 17:02 UTC1.0030 minutes
@svrfond/694 · this entry23 Jul 2026, 13:47 UTC@solovievlive/37824323 Jul 2026, 14:10 UTC1.0023 minutes
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
ChannelMatching postsText overlapTypical gapPublished first
@solovievlive16 (8/8 hand-verifiable sample passed)1.0025 minutesthis entry (16–0)

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 29 comparable posts for this entry, running 1 May 2026 to 16 October 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 234 channels, the one whose matching posts we hold earliest is @mash. 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.

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 234 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.

Mash
@mash · Channel
3,140,033 subscribers
Мир сегодня с "Юрий Подоляка"
@yurasumy · Channel
2,662,248 subscribers
Раньше всех. Ну почти.
@bbbreaking · Channel
1,975,436 subscribers
СОЛОВЬЁВ
@solovievlive · Channel
1,113,787 subscribers
ЗАРУБИН
@zarubinreporter · Channel
452,230 subscribers
АДЕКВАТ Z
@politadequate · Channel
261,849 subscribers
Срочно, Сейчас
@srochnow · Channel
228,297 subscribers
Владимир Мединский
@vr_medinskiy · Channel
202,356 subscribers
Апти Алаудинов «АХМАТ»
@AptiAlaudinovAKHMAT · Channel
199,732 subscribers
Батальон "ШРАМА" 204 полк СпН "АХМАТ"
@specnazahmat · Channel
166,871 subscribers
Вася на сене
@vasya_nasene · Channel
129,066 subscribers
Караульный Z
@karaulny · Channel
119,939 subscribers
Kremlin_Russian
@KremlinRussian · Channel
101,738 subscribers
MDK.txt
@txt_mdk · Channel
92,944 subscribers
Лекторий Dостоевский
@dostoevsky_fm_dostoverno · Channel
78,543 subscribers
Зов Аида
@z0vAida · Channel
64,217 subscribers
Новости Брянска
@barakholka32 · Channel
63,775 subscribers
История.РФ
@rf_history · Channel
58,428 subscribers
MountShow
@mountshow · Channel
55,730 subscribers
Подслушано Клинцы (region_32)
@klintsyregion_32 · Channel
52,677 subscribers
Павел Онищенко НОВОСТИ
@Onishchenko001 · Channel
51,183 subscribers
Петр Толстой
@petr_tolstoy · Channel
50,180 subscribers
БАГДАСАРОВ
@sbagdasarov · Channel
47,581 subscribers
Настоящий Типичный Брянск
@tipical32 · Channel
46,419 subscribers
Ирина Елифёрова Z
@PravdaEliferova · Channel
44,107 subscribers
СМОТРИ
@smotri_media · Channel
44,095 subscribers
ЕРМосква
@ermoscow · Channel
41,755 subscribers
Марина Юденич
@yudenich · Channel
40,115 subscribers
ТКАЧЁВА. ЛИЧНОЕ❤️
@tkacheva_lichnoe · Channel
38,772 subscribers
ПОСОБИЯ. buh_expert
@buh_exspert · Channel
33,608 subscribers
Игорь Молотов 🇮🇶 «АХМАТ»
@molotov_akhmat · Channel
27,695 subscribers
Новозыбков FOX
@Fox_News_Novozybkov · Channel
23,116 subscribers
ВОЕННЫЙ КОНСУЛЬТАНТ
@MilitaryConsultant · Channel
22,256 subscribers
Агрегатор №1
@agromsk · Channel
21,774 subscribers
ГОВОРИТ ТКАЧЁВА
@govorit_tkacheva · Channel
17,506 subscribers
Бабка знает всё!
@BabkaNews · Channel
17,117 subscribers
Дмитрий Саймс
@DmitriySimes · Channel
17,026 subscribers
СОЛОВЬЕВ LIVE ЛАЙФ
@slovievlive · Channel
14,367 subscribers
Егор Ковальчук
@E_V_Kovalchuk · Channel
13,455 subscribers
Донтел
@dontel_dpr · Channel
11,724 subscribers
БОРОДА
@rizaya_boroda · Channel
9,732 subscribers
🏴‍☠️Бунтарь
@buntariy · Channel
9,072 subscribers
Типичные Клинцы
@tipical_klintsy · Channel
8,937 subscribers
Новости СВО / специальная военная операция/ война, россия, украина
@ZaconAndPravo · Channel
8,878 subscribers
Наталья Хим - Максимус. Скандалы,интриги,расследования. Гум.помощь. Новороссии - быть.
@natalia_maximus_ZOV · Channel
8,569 subscribers
Телеграммы от Лисиченко
@StLis · Channel
8,253 subscribers
Канал Форт
@south_fort · Channel
8,013 subscribers
Казань Онлайн | Татарстан
@kazanab · Channel
7,901 subscribers
Третья мировая война
@mirovajavoina · Channel
7,635 subscribers
По'острее
@po_ostree · Channel
7,609 subscribers

183 more channels are in this same group but not listed individually here.

Growth

8,9679,0689,017.56 August 2026 — 9,068 subscribers6 August 2026 — 9,068 subscribers9 August 2026 — 9,060 subscribers12 August 2026 — 9,054 subscribers16 August 2026 — 9,049 subscribers18 August 2026 — 9,045 subscribers21 August 2026 — 9,041 subscribers24 August 2026 — 9,037 subscribers27 August 2026 — 9,032 subscribers2 September 2026 — 9,029 subscribers7 September 2026 — 9,024 subscribers12 September 2026 — 9,021 subscribers16 September 2026 — 9,018 subscribers29 September 2026 — 9,008 subscribers6 October 2026 — 8,998 subscribers13 October 2026 — 8,994 subscribers18 October 2026 — 8,992 subscribers22 October 2026 — 8,987 subscribers25 October 2026 — 8,985 subscribers28 October 2026 — 8,982 subscribers31 October 2026 — 8,979 subscribers2 November 2026 — 8,970 subscribers5 November 2026 — 8,968 subscribers9 November 2026 — 8,967 subscribers6 August 20269 November 2026
24 measurements spanning 95 days, net -101. 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 8,952–9,083 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
9 Nov 2026, 06:598,967-1
5 Nov 2026, 19:088,968-2
2 Nov 2026, 23:068,970-9
31 Oct 2026, 08:358,979-3
28 Oct 2026, 14:478,982-3
25 Oct 2026, 04:178,985-2
22 Oct 2026, 07:358,987-5
18 Oct 2026, 22:148,992-2
13 Oct 2026, 00:368,994-4
6 Oct 2026, 20:428,998-10
29 Sept 2026, 23:009,008-10
16 Sept 2026, 01:409,018-3
12 Sept 2026, 01:199,021-3
7 Sept 2026, 12:429,024-5
2 Sept 2026, 19:589,029-3
27 Aug 2026, 13:559,032-5
24 Aug 2026, 18:139,037-4
21 Aug 2026, 12:589,041-4
18 Aug 2026, 19:259,045-4
16 Aug 2026, 04:499,049first reading

Engagement

29 posts held, back to 1 May 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 47 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
591.6%
avg views ÷ 8,967 subscribers
Avg views / post
53,100
2 posts measured
Reaction rate
0.067%
reactions ÷ views · ER floor
Posts in window
2
of 29 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 16 October 2026
Posts held29 (1 May 2026 – 16 October 2026)
Views total106,100
Reactions total71
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 23:43 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
204
Videos
424
Links
539

Lifetime counters from Telegram’s own channel header, read 10 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
11m 09s
Average length
1m 14s

Measured directly from 9 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

824 reactions across 29 posts, in 11 distinct kinds. The most used accounts for 44.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤37044.9%
👍20925.4%
🙏13916.9%
🔥668.01%
👎111.33%
👏60.728%
💩60.728%
🤣60.728%
🤮50.607%
🖕40.485%
😁20.243%

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 29 of the 29 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 824 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 29 most recent posts we hold, published 1 May 2026 to 16 October 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 2 posts held from the last 30 days (0%) 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).

16 Oct 2026, 12:35 UTC≈46,900 views51 reactionsread 10 November 2026
Video

⚫️ Фонд Владимира Соловьёва завершил марафон «Охота на шершней» — сбор средств на 30 пикапов для мобильных огневых групп. Для огневого расчёта пикап — это скорость и манёвренность, когда счёт идёт на секунды. Он помогает вовремя отреагировать на угрозу и выполнить главную задачу — защитить людей от атак беспилотников и сохранить жизни. Спасибо каждому, кто поддержал марафон. Ваша помощь и неравнодушие очень важны д…

👍33❤12👏3🙏3

12 Oct 2026, 14:04 UTC≈59,200 views20 reactionsread 10 November 2026
Photo

⚫️ До финиша марафона СВР Фонда «Охота на шершней» остался всего один шаг: 29 пикапов для мобильных огневых групп уже приобретены, осталось собрать средства всего на одну машину! Пикапы значительно сокращают время прибытия расчётов в нужную точку и помогают оперативно выполнять задачи по обеспечению безопасности граждан и объектов. Любая сумма приближает нас к цели — переведи, сколько можешь. Важно! Фонд примет пи…

🙏14❤4👍2

7 Oct 2026, 12:40 UTC≈47,500 views29 reactionsread 10 November 2026
Photo

⚫️ Марафон «Охота на шершней» продолжается! Мы собираем средства на пикапы для мобильных огневых групп, которые защищают побережье Чёрного моря и трассу «Новороссия» от вражеских беспилотников. Двадцать восемь автомобилей уже готовы к работе — до цели осталось всего две машины! Пикап — это возможность быстрее реагировать на угрозу: выдвинуться в нужный район, настигнуть цель, уничтожить её и сразу сменить позицию. Ч…

❤19👍10

2 Oct 2026, 11:07 UTC≈48,700 views25 reactionsread 10 November 2026
Photo

⚫️ 28 пикапов уже приобретены — до завершения марафона СВР Фонда «Охота на шершней» осталось собрать средства всего на две машины! Все автомобили передадут мобильным огневым группам, которые ежедневно уничтожают беспилотники противника. Для таких подразделений пикап — это не просто транспорт, а верный помощник. Он позволяет быстро выдвинуться в нужный район, оперативно уничтожить цель и сразу сменить точку после вып…

❤19🙏5👎1

29 Sept 2026, 10:22 UTC≈46,500 views25 reactionsread 10 November 2026
Video

⚫️ Всего три пикапа. Именно их не хватает, чтобы завершить марафон СВР Фонда «Охота на шершней». Цель — 30 машин для мобильных огневых групп. Эти пикапы — не просто транспорт. Это скорость, манёвр и укрытие для тех, кто каждый день сбивает вражеские дроны. Каждая машина на передовой — это чьи-то сохранённые жизни. Присоединяйтесь к марафону — приблизьте нашу победу! Любая сумма приближает нас к цели — переведи, ско…

❤19🙏5👎1

25 Sept 2026, 11:14 UTC≈44,400 views20 reactionsread 10 November 2026
Photo

⚫️ В рамках марафона СВР Фонда «Охота на шершней» уже собраны средства на 27 из 30 пикапов! До завершения сбора остаются три автомобиля. Их передадут мобильным огневым группам, которые ежедневно уничтожают беспилотники противника. Пикапы необходимы для быстрого перемещения между позициями, оперативного выхода в заданный район и смены точки после выполнения задачи. Техника нужна уже сейчас. Любая сумма приближает на…

❤17🙏2👎1

22 Sept 2026, 08:12 UTC≈48,800 views23 reactionsread 10 November 2026
Video

⚫️ Марафон «Охота на шершней» продолжается! На сегодняшний день собраны средства уже на 26 пикапов для мобильных огневых групп, 15 автомобилей переданы подразделениям. Пикап — это скорость, манёвренность и возможность действовать там, где счёт идёт на минуты. Он помогает бойцам быстро выйти на позицию, выполнить задачу и вовремя покинуть опасный участок. Главная задача — 30 автомобилей. До неё осталось собрать сред…

❤19🙏3👎1

19 Sept 2026, 13:21 UTC≈50,900 views35 reactionsread 10 November 2026
Video

⚫️ В рамках марафона «Охота на шершней» мы собрали средства на 26 пикапов для мобильных огневых групп. 15 машин уже переданы подразделениям. Спасибо каждому, кто переводит деньги. Всё это стало возможным благодаря вам! Благодарим первого заместителя председателя Правительства России Дениса Мантурова, который всегда помогает наладить контакт с промышленностью, а также компанию «Соллерс» за поддержку марафона. До це…

❤21👍13👎1

14 Sept 2026, 12:55 UTC≈46,100 views24 reactionsread 10 November 2026
Video

⚫️ СВР Фонд продолжает марафон «Охота на шершней»! Благодаря вашей поддержке уже удалось приобрести 25 из 30 необходимых пикапов. До достижения цели не хватает всего пяти машин, и каждая из них нужна на передовой как можно скорее. Пикапы предназначены для мобильных огневых групп, которые ежедневно уничтожают вражеские беспилотники, в том числе дроны, оснащённые элементами искусственного интеллекта. Эти машины позвол…

❤15🔥6👎2🙏1

30 Jul 2026, 14:57 UTC≈58,500 views40 reactionsread 10 November 2026
Photo

⚫️ 22 из 30 пикапов уже удалось собрать благодаря вашей поддержке в рамках марафона Владимира Соловьёва и СВР-Фонда «Охота на шершней». До цели остаётся совсем немного — эти автомобили как можно скорее должны отправиться к мобильным огневым группам, которые ежедневно отражают атаки вражеских беспилотников, в том числе дронов с элементами искусственного интеллекта. Каждый новый пикап — это скорость, манёвренность и …

🙏24❤11👍4👎1

28 Jul 2026, 10:30 UTC≈1,810 views19 reactionsread 10 November 2026
Photo

⚫️ Уже 21 из 30 пикапов удалось собрать благодаря вашей поддержке в рамках марафона «Охота на шершней». Эта техника жизненно необходима нашим бойцам на побережье Чёрного моря и на направлении трассы «Новороссия» — она позволяет быстрее реагировать на угрозы и действовать максимально эффективно. Пикапы дают возможность оперативно выходить на позиции, перехватывать вражеские беспилотники и мгновенно менять дислокацию,…

❤12👍7

23 Jul 2026, 13:47 UTC≈57,700 views25 reactionsread 10 November 2026
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⚫️ 18 пикапов из 30 уже удалось собрать благодаря вашей поддержке в рамках марафона «Охота на шершней». Именно эта техника поможет нашим бойцам, которые несут службу на побережье Чёрного моря и контролируют трассу «Новороссия», быстрее реагировать на угрозы и эффективнее выполнять боевые задачи. Пикапы позволяют оперативно выдвигаться на позиции, перехватывать вражеские беспилотники и сразу менять место, снижая риск…

❤16🙏9

Showing the 12 most recent of 29 posts we hold for @svrfond. 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.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 1 registered channel — 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.

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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“СВР ФОНД” (@svrfond), 8,967 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/svrfond.

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.