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Channel

Богданова и прочие речные твари

@wordsnletters

On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

4,079subscribers

+15 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-1001311324421
TypeChannel
Username@wordsnletters
Created27 May 2019measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/wordsnletters

Growth

4,0644,0794,071.56 August 2026 — 4,064 subscribers6 August 2026 — 4,064 subscribers7 August 2026 — 4,069 subscribers10 August 2026 — 4,077 subscribers13 August 2026 — 4,079 subscribers6 August 202613 August 2026
5 measurements spanning 7 days, net +15. 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 4,062–4,081 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 06:044,079+2
10 Aug 2026, 06:034,077+8
7 Aug 2026, 02:544,069+5
6 Aug 2026, 04:184,064no change
6 Aug 2026, 03:354,064first reading

Engagement

12 posts held, back to 25 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
34.0%
avg views ÷ 4,079 subscribers
Avg views / post
1,390
12 posts measured
Reaction rate
3.76%
reactions ÷ views · ER floor
Posts in window
12
of 12 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 7 August 2026
Posts held12 (25 July 20267 August 2026)
Views total16,649
Reactions total626
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:40 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.

Reaction mix

567 reactions across 11 posts, in 13 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
37866.7%
🔥5910.4%
😁457.94%
🤯234.06%
❤‍🔥223.88%
👍142.47%
😢61.06%
👏50.882%
😈50.882%
40.705%
🤩30.529%
20.353%
🤝10.176%

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 12 of the 12 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 626reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 25 July 2026 to 7 August 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

7 Aug 2026, 11:47 UTC552 views96 reactionsread 8 August 2026
Photo

Я, когда покосили участок

65❤‍🔥22👏4🤩3🔥1🤝1

6 Aug 2026, 11:08 UTC702 views13 reactionsread 8 August 2026

Полезное от Полины Парс

13

6 Aug 2026, 11:08 UTC624 views36 reactionsread 8 August 2026
Forwarded from @parslivresFile

Вчера в новом видео я предложила вам рассмотреть табличку с моими наблюдениями о некоторых разницах в направлениях автофикшна, автобиографии, мемуаров и художественной литературы. Чтобы вам было комфортнее покопошиться в ней, поизучать, даю вам файликовое. Вотермарки авторства не леплю, чтобы не мешало, но если куда-то еще потащите его — отмечайте мне, пожалуйста)

26🔥82

3 Aug 2026, 16:15 UTC861 views32 reactionsread 8 August 2026
Photo

Новинки и почти-новинки августа Все, что вышло и выйдет на русском и что я точно буду читать в этом месяце. Новайолет Булавайо «Нам нужны новые имена» (Альпина.Проза, Строки, пер. Дмитрия Шепелева) Десятилетняя Дарлинг живёт в Зимбабве. Она ворует с друзьями гуавы, играет в «страны» и цепляется за воспоминания о жизни «до» — до того, как бульдозеры снесли ее дом, закрылась школа, а отец уехал на заработки. Дарлинг п

32

3 Aug 2026, 16:15 UTC≈1,000 views39 reactionsread 8 August 2026
Photo

Габриэлла Залапи «Илария» (Поляндрия NoAge, пер. Нины Хотинской) Май 1980 года, Женева. Восьмилетнюю Иларию у ворот школы забирает отец, переживающий тяжёлый развод с её матерью, — и короткая прогулка превращается в двухлетнее скитание по городам Европы. Отец и дочь колесят по Италии, живут в маленьких отелях, и похищение почти похоже на приключение, вот только папа слишком много пьёт и курит. В основе лежит реальная

344👏1

2 Aug 2026, 10:11 UTC≈1,010 views101 reactionsread 8 August 2026
Photo

Моя библиотека. Одна из книг, которые я читала в детстве. Издание 1973 г.

62🔥36🤯3

30 Jul 2026, 20:02 UTC≈1,540 views67 reactionsread 8 August 2026

Вчера на радио РБК вышел выпуск о лонг-листе Букеровской премии с моими небольшими комментариями. Послушать можно здесь *В расшифровке на сайте допущена ошибка: я сказала о том, что больше половины книг в списке этого года так или иначе говорит о кризисах мужчин (на сайте "о женщинах") среднего и пожилого возраста, в чем можно убедиться, прослушав аудио. Действительно, на мой взгляд Букеровская премия этого года обр

45👍14🔥8

28 Jul 2026, 17:40 UTC≈4,430 views43 reactionsread 8 August 2026
Photo

Сегодня объявили лонг-лист Букеровской премии 2026. В него вошли: Chloe Aridjis «The Shadow of the Object» Флора приезжает домой в Мексику, где собака ее семьи внезапно кусает её за руку. Она (Флора, не собака) попадает в больницу в Мехико, переносит несколько операций и знакомится с Вильгельминой — пожилой немкой с пневмонией, коллекционирующей оптические приборы. Женщины ведут похожие на сны разговоры в больничных

42😈1

27 Jul 2026, 10:08 UTC≈1,570 views73 reactionsread 8 August 2026
Photo

Глаз на жопе все же может быть. Эксперимент биолога Майкла Левина

😁45🤯20😈4😢4

26 Jul 2026, 10:41 UTC≈1,440 views36 reactionsread 8 August 2026

Lucy Schiller «Aging Out» Шиллер нет и сорока, но уход за бабушкой во время пандемии дал ей исчерпывающее представление о том, каково это — быть старым в Америке. Бабушка умерла от ковида в свои девяносто с лишним, заразившись, как полагает Шиллер, от сиделки, снявшей маску. Окружающие вежливо намекали, что горевать тут особо не о чем: возраст же. Из этой обиды и собственного страха старения выросло расследование тог

28🔥6😢2

26 Jul 2026, 10:40 UTC≈1,120 views31 reactionsread 8 August 2026
Photo

Читательские рекомендации от критиков и редакторов The New York Times Каждую неделю критики и редакторы The New York Times выбирают самые интересные новинки из всего, что представлено на рынке, от художественной прозы и серьёзных документальных романов до триллеров, фэнтези и детективов. Это — новинки прошлой недели. Новинки этой недели опубликую в закрытом канале сегодня в 19 часов. Anna Thomasson «A Vast Horizon»

31

25 Jul 2026, 13:37 UTC≈1,800 views59 reactionsread 6 August 2026
Photo

Слушаю мужа и дома, и Кибердома Ходим по очереди на выступления друг друга

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

Citation-graph rank

Citation-graph rank — 26,723 of 1,340,412entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

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

Republishes

Channels on the register whose posts this channel has forwarded.

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 11 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.

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.

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.

Яндекс Книги
@booksyandex · 146,742
Telegram ranks this channel #19 of 97 here — alongside 96 others — read 13 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Богданова и прочие речные твари” (@wordsnletters), 4,079 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/wordsnletters.

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.