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Не женщина, а филолог

@lenochka_philology

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

147subscribers

-2 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001679853078
TypeChannel
Username@lenochka_philology
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live18 September 2026
Measurements held5
Confirmed unchanged2 times, most recently 18 September 2026
On Telegramt.me/lenochka_philology

Growth

146149147.56 August 2026 — 149 subscribers8 August 2026 — 149 subscribers12 August 2026 — 146 subscribers25 August 2026 — 148 subscribers10 September 2026 — 147 subscribers1476 August 202610 September 2026
5 measurements spanning 36 days, net -2. 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 146–149 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Sept 2026, 17:17147-1
25 Aug 2026, 20:46148+2
12 Aug 2026, 03:32146-3
8 Aug 2026, 20:01149no change
6 Aug 2026, 01:39149first reading

Engagement

20 posts held, back to 24 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 1 page 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 20 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

78 reactions across 15 posts, in 8 distinct kinds. The most used accounts for 43.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3443.6%
🔥1620.5%
🥰911.5%
🤩78.97%
👍56.41%
😱56.41%
🙏11.28%
🤗11.28%

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 15 of the 20 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 78 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 24 July 2026 to 6 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

6 Aug 2026, 08:14 UTC54 views6 reactionsread 8 August 2026
Forwarded from @volnostformationPhoto

под корягой фыркнул ёж догорела сигарета ты когда-нибудь умрёшь я люблю тебя за это пёс забрался в конуру от помойки тащит дымом я когда-нибудь умру вот и повод быть любимым на дорогах гололёд мы останемся в кровати всё когда-нибудь умрёт но на всё любви не хватит вроде дар а вроде труд не продашь не передаришь все когда-нибудь умрут а как будто ты одна лишь вроде правда вроде ложь я забыл и перепутал ты когда-ни

🥰4🔥2

5 Aug 2026, 11:07 UTC55 views2 reactionsread 8 August 2026
Forwarded from @usywillyPhoto

Сегодня происходит действие рассказа "Будет ласковый дождь"

😱2

5 Aug 2026, 08:54 UTC75 views6 reactionsread 8 August 2026

Забавнее всего было узнать, что у лучшей подруги я записана в телефоне как «Елена Олеговна».

🤩6

3 Aug 2026, 15:06 UTC105 views15 reactionsread 8 August 2026
Photo

Кстати, сегодня ровно 10 лет, как для меня мир поделился на «нефоров» и «цивилов». 3 августа 2016 года я пришла на Арбат становиться панком. Кем я по итогу стала, не очень понятно, но один юноша меня как «панк-учителя» в телефоне записал уже. P. S. Фотка чуть более поздняя, ирландская. Но того же 2016 года.

🔥96

31 Jul 2026, 22:42 UTC165 views4 reactionsread 8 August 2026
Forwarded from @fmusbotFile

🔍 Найти любимую песню!

2👍1😱1

31 Jul 2026, 22:42 UTC167 views2 reactionsread 8 August 2026

Поскольку я сегодня была на концерте группы «Вежливый отказ», пусть здесь будет песня, которая сегодня не прозвучала, но мне лет с 15 очень нравится:

🔥1😱1

30 Jul 2026, 13:13 UTC253 views4 reactionsread 8 August 2026

Если «Юдоль» была самой доброй книгой Елизарова, то самой доброй его песней является эта. Во всяком случае, это первая его песня со счастливым концом.

3🥰1

29 Jul 2026, 09:44 UTC212 views5 reactionsread 8 August 2026
Photo

Наш пейзаж и натюрморт.

3🔥2

29 Jul 2026, 00:15 UTC185 views7 reactionsread 8 August 2026
Photo

Запрещённый инстаграм фотку десятилетней давности подкинул. Тоже из Черногории, кстати.

5🥰2

28 Jul 2026, 19:01 UTC160 views6 reactionsread 8 August 2026
Photo

Последний вечер перед отъездом.

6

Showing the 12 most recent of 20 posts we hold for @lenochka_philology. 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 20 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 10 September 2026 — this entry's latest reading, not the date you are reading this.

“Не женщина, а филолог” (@lenochka_philology), 147 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/lenochka_philology.

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.