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Channel

Метод Набокова

@myobsessionwithbooks

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

3,234subscribers

+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-1002194818650
TypeChannel
Username@myobsessionwithbooks
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/myobsessionwithbooks

Growth

3,1243,2343,1796 August 2026 — 3,133 subscribers6 August 2026 — 3,133 subscribers6 August 2026 — 3,130 subscribers9 August 2026 — 3,124 subscribers12 August 2026 — 3,161 subscribers16 August 2026 — 3,234 subscribers6 August 202616 August 2026
6 measurements spanning 11 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 3,108–3,251 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 17:283,234+73
12 Aug 2026, 23:253,161+37
9 Aug 2026, 17:423,124-6
6 Aug 2026, 21:343,130-3
6 Aug 2026, 04:503,133no change
6 Aug 2026, 04:333,133first reading

Engagement

7 posts held, back to 2 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
12.2%
avg views ÷ 3,234 subscribers
Avg views / post
395
7 posts measured
Reaction rate
21.8%
reactions ÷ views · ER floor
Posts in window
7
of 7 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 held7 (2 August 20267 August 2026)
Views total2,768
Reactions total604
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:55 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

491 reactions across 6 posts, in 5 distinct kinds. The most used accounts for 33.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 534577914430518351016333.2%
custom 53841695033220467279820.0%
custom 52783037864508498949719.8%
custom 52943690128372934218216.7%
custom 53503237308054591055110.4%

Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

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 7 of the 7 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 604reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 7 most recent posts we hold, published 2 August 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, 09:21 UTC255 views75 reactionsread 7 August 2026
Photo

Так себе из меня охотник, с последней книжной охоты ушла с пустыми руками🤩 Взгляд зацепился за несколько экземпляров, но стоило перевернуть их и увидеть на обратной стороне ценник, как глаза полезли на лоб, а рука сама потянулась с книгой обратно к полке – водрузить ее на свое облюбованное место. В каждом книжном обязательно ищу полочку с Владимиром Набоковым, зачастую она выглядит так, как будто ее обнесли после бо

custom 534577914430518351029custom 527830378645084989423custom 529436901283729342123

7 Aug 2026, 06:10 UTC290 views36 reactionsread 7 August 2026

Если вы еще не заходили к Софе в гости, сейчас хороший момент, чтобы это исправить. Это один из самых душевных каналов, которые я знаю, сама давно подписана. Рекомендасьон от души, друзья🫂

custom 534577914430518351014custom 535032373080545910513custom 52783037864508498949

6 Aug 2026, 09:34 UTC371 views81 reactionsread 7 August 2026
Photo

«Мертвая зона» плотно забетонирована тревогой, ощущением неотвратимости и религиозным помешательством💭 Заметила следующую тенденцию с книгами Кинга: я проглатываю страниц 100 в начале, потом подвисаю, темп чтения снижается, а в какой-то момент я снова могу прочитать залпом 100 страниц и не заметить, как они пролетели. Бум, вау и катарсис не случились, чувствуется, что это ранний Кинг, и становится понятно, откуда но

custom 529436901283729342130custom 534577914430518351030custom 535032373080545910521

5 Aug 2026, 09:16 UTC441 views116 reactionsread 7 August 2026
Photo

Люди добрые, вот скажите, мне это надо? Сколько я уже смотрю на книги Флориана Иллиеса, на восторженные отзывы, сил моих больше нет..

custom 534577914430518351049custom 538416950332204672738custom 529436901283729342129

4 Aug 2026, 09:40 UTC496 views69 reactionsread 7 August 2026
Photo

Тройное удовольствие, три новых томика от одного из любимых издательств🤩 📌Брит Бильдёэн «Желтый уровень опасности» – роман норвежской писательницы для дождливых летних или осенних вечеров; Когда Дорте приезжает в роскошный гостевой дом на природе, над окрестностями уже сгущается буря. Вся семья соберется здесь на выходные, чтобы отметить золотую свадьбу родителей: ожидается и брат Дорте, и сестра с мужем и собакой.

custom 538416950332204672728custom 527830378645084989424custom 535032373080545910517

3 Aug 2026, 10:00 UTC483 views114 reactionsread 7 August 2026
Photo

В одну из прогулок по Москве было найдено такое уютное пространство🤩 Несколько комнат, камин, живые цветы, книги и много воздуха – тихая гавань посреди шумного города. Стивен Кинг не особо вписался в атмосферу, да. Местечко работает по принципу коворкинга, но кажется, что в гости к другу пришел. 📌«Теплое место» Москва, Новокузнецкая, 1, стр. 1 #кудасходить

custom 527830378645084989441custom 534577914430518351041custom 538416950332204672732

2 Aug 2026, 09:11 UTC≈432 views113 reactionsread 6 August 2026
Photo

Ситуация по Стивену Кингу, которого я собираю в серии «книжная полка»💻 📌Собрано 32 книги 📌Не хватает 14 книг 📌Прочитано 5 книг Серия «король на все времена» мне тоже нравится, да и книг в ней больше вышло, но так повелось, что начала собирать в другом издании. Что уже прочитала: «11/22/63» – 100/10, пока самая любимая, сериал тоже обожаю; «Сияние» – ну тут без комментариев, советую взять и пощекотать себе нервишк

Showing the 7 most recent of 7 posts we hold for @myobsessionwithbooks. 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 — 274,364 of 1,481,243entries 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.

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 4 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.

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“Метод Набокова” (@myobsessionwithbooks), 3,234 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/myobsessionwithbooks.

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.