Telegram RegisterThe public register of Telegram

Channel

Елена Кулешова 🛰

@kulevrina

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

951subscribers

+0 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001117562418
TypeChannel
Username@kulevrina
DescriptionКанал про патриотизм здорового человека и русский язык. Семантическая гигиенистика и оздоровительная цензура. Общение со всамделишным полиматом. +79052908386 Поддержать автора: 2202 2010 9903 8099 Елена Анатольевна К.
Created25 March 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live7 August 2026
Measurements held2
On Telegramt.me/kulevrina

Growth

9517 Aug 2026, 09:04 — 951 subscribers7 Aug 2026, 09:17 — 951 subscribers7 Aug 2026, 09:047 Aug 2026, 09:17
2 measurements taken within a single day. 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 950–952 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 09:17951no change
7 Aug 2026, 09:04951first reading

Engagement

20 posts held, back to 3 March 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
10.1%
avg views ÷ 951 subscribers
Avg views / post
96.0
1 post measured
Reaction rate
9.38%
reactions ÷ views · ER floor
Posts in window
1
of 20 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 29 July 2026
Posts held20 (3 March 202629 July 2026)
Views total96
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 09:17 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
1,600
Videos
57
Links
674

Lifetime counters from Telegram’s own channel header, read 7 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

213 reactions across 19 posts, in 10 distinct kinds. The most used accounts for 30.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥6430.0%
👍5726.8%
2813.1%
💯177.98%
😁157.04%
👏146.57%
🤯83.76%
😢73.29%
🤔20.939%
😈10.469%

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 19 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 213reactions 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 3 March 2026 to 29 July 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

29 Jul 2026, 05:42 UTC96 views9 reactionsread 7 August 2026
Forwarded from @LastOfRusPhoto

Слоны обсуждают: ментальные границы и литература как ПВО в эпоху гибридных войн Историки считают, что одной из первых гибридных войн была Пелопоннесская, случившаяся в 5 веке до н.э. Боровшиеся за власть над Грецией Афины и Спарта использовали ряд невоенных методов для затруднения действий противника: экономические санкции, прокси-войны, пропаганду и политические перевороты. Две с половиной тысячи лет спустя гибридн

👍5🔥3😁1

Signed Yelena Kuleshova

3 Jul 2026, 20:48 UTC211 views16 reactionsread 7 August 2026
Photo

Photo, posted without a caption

🔥12👍31

Signed Yelena Kuleshova

27 Jun 2026, 06:18 UTC286 views5 reactionsread 7 August 2026
Photo

Photo, posted without a caption

😁5

Signed Yelena Kuleshova

24 Jun 2026, 11:39 UTC267 views10 reactionsread 7 August 2026

https://t.me/annaApsua/398

8👍2

Signed Yelena Kuleshova

23 Jun 2026, 08:03 UTC288 views9 reactionsread 7 August 2026

#статья #gfcn Цитаты Франкенштейна: как ИИ подрывает академическую честность Феномен, который в экспертной среде получил название «галлюцинации уверенности», «фантомные ссылки» или «цитаты Франкенштейна», рискует стать одной из самых больших опасностей XXI века для академической науки и образования в глобальном масштабе. Он был спровоцирован широким внедрением больших языковых моделей (LLM) в практические исследова

👏6💯3

Signed Yelena Kuleshova

10 May 2026, 14:26 UTC453 views4 reactionsread 7 August 2026
Video

Video, posted without a caption

4

Signed Yelena Kuleshova

10 May 2026, 14:26 UTC362 views3 reactionsread 7 August 2026

Наша группа сделала на МНМ

👍3

Signed Yelena Kuleshova

17 Apr 2026, 03:35 UTC522 views6 reactionsread 7 August 2026

Доступна пока только десктопная версия: сайт переезжает на русский домен. Писатель Оксана Останина, серебряный лауреат "Пересвета" в номинации "Рукописи". @kulevrina

🔥6

Signed Yelena Kuleshova

16 Apr 2026, 14:56 UTC454 views1 reactionsread 7 August 2026
Forwarded from @sociosoft

▶️▶️▶️18-19 апреля: семинар Сергея Переслегина «Лабораториум». ▶️Тема: «Когнитивные пределы и экономика за пределами индустриальной фазы». 📍Так или иначе, индустриальная фаза закончится созданием мира-технологии «Искусственный интеллект». Его могут разрешать / запрещать / ограничивать / контролировать, вероятны проблемы с нехваткой энергии, но ИИ будет, а проблемы, в конечном итоге, будут разрешены. Нас ожидает 6-я в

1

Signed Yelena Kuleshova

12 Apr 2026, 08:29 UTC354 views22 reactionsread 7 August 2026
Photo

Пока все постят Гагарина, я поделюсь с вами Валентином Глушко. Человеком, без которого не было бы никакого космоса вообще. @kulevrina

🔥19😁21

Signed Yelena Kuleshova

6 Apr 2026, 05:57 UTC422 views15 reactionsread 7 August 2026

"Девочки должны быть нежными и слабыми", "защитники всегда найдутся", "спорт не для девочек, ну, кроме гимнастики и синхронного плавания", "слабость украшает женщину". Тем временем: "Во время стоянки поезда № 149/150 Челябинск — Санкт-Петербург на станции Поназырево в Костромской области пассажир вытолкнул проводницу из вагона. Инцидент был зафиксирован на видео и опубликован в блоге «1520. Все о железной дороге». П

💯6🤯6👍2👏1

Signed Yelena Kuleshova

3 Apr 2026, 16:57 UTC392 views12 reactionsread 7 August 2026

Не могу не порекламировать писателя-фантаста тов. Бузлаева, который наконец-то соизволил дать мне интерву. @kulevrina

🔥102

Signed Yelena Kuleshova

Showing the 12 most recent of 20 posts we hold for @kulevrina. 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 — 958,237 of 1,183,361entries 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

Names

Channels on the register whose handles appear in this channel's posts.

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

“Елена Кулешова 🛰” (@kulevrina), 951 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/kulevrina.

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.