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Channel

Вершки и корешки

@vershki

On this record: Topic · Growth · Engagement · Posts · Citations · Cite this entry

5,710subscribers

-53 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001058153123
TypeChannel
Username@vershki
Created28 April 2016 — 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/vershki

Topic

Literature — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.

Growth

5,7105,7635,736.55 August 2026 — 5,763 subscribers6 August 2026 — 5,763 subscribers9 August 2026 — 5,760 subscribers12 August 2026 — 5,758 subscribers15 August 2026 — 5,753 subscribers18 August 2026 — 5,752 subscribers21 August 2026 — 5,750 subscribers24 August 2026 — 5,751 subscribers30 August 2026 — 5,752 subscribers2 September 2026 — 5,750 subscribers6 September 2026 — 5,744 subscribers11 September 2026 — 5,739 subscribers15 September 2026 — 5,736 subscribers26 September 2026 — 5,734 subscribers5 October 2026 — 5,732 subscribers12 October 2026 — 5,726 subscribers15 October 2026 — 5,725 subscribers18 October 2026 — 5,728 subscribers21 October 2026 — 5,729 subscribers24 October 2026 — 5,722 subscribers27 October 2026 — 5,719 subscribers30 October 2026 — 5,717 subscribers6 November 2026 — 5,711 subscribers9 November 2026 — 5,710 subscribers5 August 20269 November 2026
24 measurements spanning 96 days, net -53. 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 5,702–5,771 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, 13:215,710-1
6 Nov 2026, 01:155,711-6
30 Oct 2026, 23:185,717-2
27 Oct 2026, 19:395,719-3
24 Oct 2026, 23:275,722-7
21 Oct 2026, 20:085,729+1
18 Oct 2026, 12:365,728+3
15 Oct 2026, 04:575,725-1
12 Oct 2026, 08:215,726-6
5 Oct 2026, 04:205,732-2
26 Sept 2026, 17:415,734-2
15 Sept 2026, 08:005,736-3
11 Sept 2026, 13:595,739-5
6 Sept 2026, 23:415,744-6
2 Sept 2026, 14:155,750-2
30 Aug 2026, 18:565,752+1
24 Aug 2026, 21:495,751+1
21 Aug 2026, 02:535,750-2
18 Aug 2026, 11:445,752-1
15 Aug 2026, 08:335,753first reading

Engagement

19 posts held, back to 7 April 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 9 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.8%
avg views ÷ 5,710 subscribers
Avg views / post
730
3 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
3
of 19 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 3 November 2026
Posts held19 (7 April 2026 – 3 November 2026)
Views total2,190
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 19:54 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 3 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).

3 Nov 2026, 10:56 UTC508 viewsread 4 November 2026
Forwarded from @ubivaet

Молодежь, поверившая Юнгеру, что нужно срочно уходить в лес, давно постарела и никуда, разумеется, не ушла. А если бы ушла, то узнала, что в лесу их не просто никто не ждет, им там не рады, а их избу распилят надвое.

3 Nov 2026, 04:55 UTC632 viewsread 4 November 2026
Forwarded from @mamontfm

До снежного человека нужно дорасти https://youtu.be/QvvBWhKvTL0

23 Oct 2026, 15:00 UTC≈1,050 viewsread 4 November 2026
Forwarded from @krugom16

В рамках диверсификации мер паранормальной звуковой активности. os sine facie os sine os Filles de feu sūt I.N ⁊ .I.S. · Шnterludia Onufr GapteVv legēs gʰrendʰ “paiceâ€� · Rcriptū anno dñi .mm°xxvi°â€2026 · Mix --ꝑ manus Arnld_Pr · expl

10 Sept 2026, 12:56 UTC≈1,730 viewsread 4 November 2026
Forwarded from @krugom16Photo

У дорогого друга Даниила Да в культовом издательстве Кобан пейс вышла дебютная книга прозы под названием «Могила Оливье». Повторю на иной манер основную мысль коротенького предисловия, которое я к ней написал. Философ Антон Сюткин предлагает делить всех философов на гностиков и пантеистов. Гностики — это те, для кого мир неизлечимо сломан, в нем есть фатальный дефект, пантеистам же в мире плюс минус заебись, здесь в…

7 Sept 2026, 14:45 UTC≈1,430 viewsread 4 November 2026

10 лет «Горькому» исполнилось, ощущения непонятные в связи с этим, но хотелось бы и 20-летие тоже как-нибудь так скромно отметить — хотя бы раскатывать губу нам никто запретить не может пока ведь.

7 Sept 2026, 14:42 UTC≈1,300 viewsread 4 November 2026
Forwarded from @krugom16

Вообще этот материал мог бы называться «Кто ж тебя „Горьким“ прозвал? Десять сладких лет о книгах и чтении». Десять лет для российских медиа — срок немалый, целая эпоха пришла и ушла, но кое-что остается постоянным. Из этих десяти лет семь я тружусь редактором «Горького», периодически вынужден погружаться в толщу сайта о книгах и чтении и потому могу сказать, что именно не изменилось. Известный драматизм интонации, е…

5 Sept 2026, 14:31 UTC≈1,280 viewsread 4 November 2026
Forwarded from @com_plPhoto

...могилы расступились, и место, казавшееся до этого небольшим, плоским и одномерным, дрогнуло и перестало таким быть. Мы очутились на вершине довольно крутого холма, крутого настолько, что спускаться вниз по подтаявшему снегу было по меньшей мере опасно. <…> Пространство с каждой минутой расширялось всё больше, как будто его выталкивала во все стороны сжатая до сего момента пружина. <…> Не знаю, видел ли это Ф., до …

25 Jun 2026, 07:49 UTC≈2,950 viewsread 4 November 2026

Последняя на сегодняшний день книга знаменитого издательства, совершенно безумная и замечательная, срочно приобретайте.

25 Jun 2026, 07:48 UTC≈2,770 viewsread 4 November 2026
Forwarded from @com_plPhoto

На войну я уходил на время. Оказалось — на всю жизнь. Собрание стихотворений Юрия Белаша появилось на озоне: Белаш, Юрий Семенович Стихотворения. Окопные стихи. Оглохшая пехота. Окопная земля. Окопные миниатюры. Солдатские строки. — М.: Московский военно-поисковый отряд «Дозор»: Common Place, 2026. — 320 с. Эта книга — наиболее полное на сегодня собрание стихотворений участника Великой Отечественной войны, совет…

23 Jun 2026, 07:16 UTC≈2,210 viewsread 4 November 2026

Дорогой БРАТ покоряет новые высоты, следите за обновлениями.

23 Jun 2026, 07:15 UTC≈1,890 viewsread 4 November 2026
Forwarded from @ubivaet

Я теперь, помимо прочего, киносценарист — как Теннесси Уильямс, как Василий Шукшин, как Вильям Сароян. Название: «Эфир». Жанр: комедия, ужасы. Режиссер: Таня Баженова. Музыка: Евгений Горбунов. Актеры: хорошие. Дата выхода: ASAP. https://youtu.be/IgpS7bye0vQ?si=iu5GnSR9pqUe2LGR

23 Jun 2026, 07:15 UTC≈1,590 viewsread 4 November 2026
Forwarded from @breakonthrough

Вы думали, что мы мертвы, а мы не мертвы. Как минимум одна пятая КРОТа прорывается в кинопроизводство. С увожением.

Showing the 12 most recent of 19 posts we hold for @vershki. 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.

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.

“Вершки и корешки” (@vershki), 5,710 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/vershki.

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.