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Telegram profile photo for Cherkashina Research

Channel

Cherkashina Research

@cherkashinaresearch

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

1,862subscribers

+1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001550191629
TypeChannel
Username@cherkashinaresearch
CreatedBetween 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live19 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 19 August 2026
On Telegramt.me/cherkashinaresearch

Growth

1,8611,8621,861.56 August 2026 — 1,861 subscribers6 August 2026 — 1,861 subscribers9 August 2026 — 1,862 subscribers16 August 2026 — 1,861 subscribers19 August 2026 — 1,862 subscribers6 August 202619 August 2026
5 measurements spanning 13 days, net +1. 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 1,861–1,862 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Aug 2026, 12:571,862+1
16 Aug 2026, 15:141,861-1
9 Aug 2026, 13:211,862+1
6 Aug 2026, 06:481,861no change
6 Aug 2026, 02:061,861first reading

Engagement

13 posts held, back to 19 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
23.9%
avg views ÷ 1,862 subscribers
Avg views / post
445
4 posts measured
Reaction rate
4.78%
reactions ÷ views · ER floor
Posts in window
4
of 13 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 4 August 2026
Posts held13 (19 June 20264 August 2026)
Views total1,778
Reactions total85
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:24 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

Video runtime
49s
Average length
49s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Reaction mix

272 reactions across 13 posts, in 17 distinct kinds. The most used accounts for 40.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
11140.8%
🔥5821.3%
🐳3713.6%
😁228.09%
❤‍🔥155.51%
👍72.57%
🫡51.84%
31.10%
🍓31.10%
👎20.735%
🙏20.735%
🥰20.735%
👏10.368%
💋10.368%
🤗10.368%
🤝10.368%
🤣10.368%

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 13 of the 13 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 272reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 19 June 2026 to 4 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.

Telegram Stars

Stars received
7
across the posts below
Posts paid on
6
of 13 we hold a reading for · 46%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @cherkashinaresearch. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 13 most recent posts we hold for this entry, published 19 June 2026 to 4 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

4 Aug 2026, 07:26 UTC323 views30 reactionsread 7 August 2026
Photo

Черкашина ПРО Исследования. "Human Maсhine eXperience. Исследования в Авто" Ведущая: Анастасия Черкашина, основатель Cherkashina Research и Море Людей Гость: Михаил Хананашвили, руководитель направления исследования пользовательского опыта, HMX Research Lead в АТОМ. Автор UX-Horn 0:00 Представление Михаила Хананашвили, руководителя исследований компании АТОМ и основателя канала UX Horn. 5:00 Как устроен процесс соз

🔥12❤‍🔥103🐳3👎2

Signed Анастасия Черкашина

31 Jul 2026, 08:45 UTC421 views27 reactionsread 7 August 2026
Photo

Пульс профессии Уважаемые коллеги, спасибо большое всем, кто заполнил нашу с Аленой Киселёвой анкету. Мы собрали достаточный для анализа массив в 349 анкет непосредственно исследователей и сделали второе поле в 212 анкет не-исследователей (офисных сотрудников), чтобы сравнить настроение исследователей с ситуацией в других профессиональных средах. Первые результаты оказались сложнее и интереснее, чем мы ожидали. Нек

🔥129🐳4🥰2

Signed Анастасия Черкашина

30 Jul 2026, 09:15 UTC432 views20 reactionsread 7 August 2026
Photo

В этом году я снова принимаю участие в выборе и подготовке спикеров по исследовательским темам для Product Sense. Среди людей, занимающихся исследованиями, много талантливых профессионалов, которым есть что рассказать, и мне нравится помогать коллегам быть услышанными и правильно понятыми, ведь это не так просто. Выступление — это целый проект: - выбор актуальной, незаезженной темы; - подготовка заявки; - подбор пра

12🔥6👍1👏1

Signed Анастасия Черкашина

23 Jul 2026, 05:33 UTC602 views8 reactionsread 7 August 2026
Photo

В этом году я — информационный партнёр ResearchEXPO. Поэтому в канале будет несколько сообщений о будущих выступлениях. Сегодня делюсь анонсом панельной дискуссии от Екатерины Узловой (Yandex Cloud): «Как исследовать 100+ сервисов командой из 5 человек?». Имеет ли смысл проводить исследования, если заказчик — корпорация, а не частное лицо? Экосистемные проекты давно вышли за рамки дизайн-мышления и уперлись в эконом

5🐳1👍1🤝1

Signed Анастасия Черкашина

20 Jul 2026, 09:47 UTC663 views28 reactions2 Starsread 7 August 2026
Photo

Черкашина ПРО Исследования. "Путь Исследователя длиной в 37 лет" Ведущая: Анастасия Черкашина, основатель Cherkashina Research и Море Людей Гость: Игорь Задорин, основатель социологической компании "Циркон" 0:00 Знакомство с Игорем Вениаминовичем Задориным. Компании «Циркон» 37 лет. 4:20 Как проходить экономические кризисы. 8:10 Как находить «своих» сотрудников. 13:40 Стандарты качества. 20:40 В чём суть исследова

16❤‍🔥5🐳5🍓1🔥1

Signed Анастасия Черкашина

9 Jul 2026, 06:34 UTC780 views34 reactionsread 7 August 2026
Photo

Отзывы на работу не так часто удаётся получать. Это отдельная работа, на которую часто не хватает времени. И как же приятно, когда они прилетают без запросов, спонтанно. Спасибо, команда ВТБ. Мы тоже очень рады работать с вами. Опытного исследователя видно сразу — по тому, как ставятся цели на исследования/рекрут, как выстраивается процесс работы, планирование. Классного результата можно достигнуть только выстраивая

🔥1513🐳2🙏2🍓1🤗1

Signed Анастасия Черкашина

6 Jul 2026, 16:37 UTC802 views38 reactions1 Starread 7 August 2026
Photo

Весной начинается сезон конференций, и к середине лета уже можно говорить о каких-то трендах в тематике выступлений — о том, что реально в головах. Из того, что бросается в глаза. На конференциях бизнеса об исследованиях речь всё чаще идёт о бизнес-процессах. От верхнеуровневого разговора о культуре мы перешли к докладам о том, как менять, внедрять, трансформировать процессы с учётом новых возможностей и меняющихся

😁1815🐳2🍓1👍1🔥1

Signed Анастасия Черкашина

3 Jul 2026, 13:28 UTC≈3,140 views31 reactions1 Starread 7 August 2026

Пульс профессии. В последний год очень часто можно было услышать от представителей разных компаний об увольнениях, сокращениях и других трансформациях, происходящих внутри компаний и отделов исследований. Режут не только ставки, но и бюджеты, говорят исследователи. И на какое бы собрание исследователей ты ни пришёл, тема сложностей поиска или потери работы звучит везде, причём зачастую не в самом позитивном ключе. Ис

20🫡5🔥3👍2🐳1

Signed Анастасия Черкашина

29 Jun 2026, 09:49 UTC903 views11 reactions1 Starread 7 August 2026
Video

Фильм "Укрощение строптивого" вышел 46 лет назад, а тема автоматизации работы и этики снова невероятно актуальна.

😁4🐳2👍21💋1🤣1

Signed Анастасия Черкашина

24 Jun 2026, 07:28 UTC≈1,010 views4 reactionsread 7 August 2026
Photo

Как бы вы объяснили, что ваши услуги лучше? У нас «качественно» без обоснования не засчитывается. Похоливарим или пойдем спросим у ИИ?

🔥3🐳1

Signed Анастасия Черкашина

23 Jun 2026, 05:53 UTC915 views13 reactions1 Starread 7 August 2026

Респондент старается угадать правильный ответ или понравится модератору. Всегда ли дело в респонденте? Многим исследователям наверняка знаком термин «раппорт». Это состояние взаимопонимания, доверия и гармонии между людьми, которое способствует эффективной коммуникации и взаимодействию. Он характеризуется эмоциональной связью и симпатией, позволяющими участникам общения чувствовать себя комфортно и открыто делиться

🐳121

Signed Анастасия Черкашина

22 Jun 2026, 17:26 UTC704 views19 reactionsread 7 August 2026

Расскажу вам сегодня про 2 классные возможности (ну вдруг вы еще не в курсе))). Одно дело просто прийти на конференцию, а другое стать ее частью. Research EXPO уже совсем скоро и вы можете стать спикером на главной исследовательской площадке или принять участие в конференции в качестве волонтера. Про выступления В программе 5 треков 🔹 SUN — главная сцена для масштабных стратегических кейсов 🔹 WAVE — как исследовани

12🔥5🐳2

Signed Анастасия Черкашина

Showing the 12 most recent of 13 posts we hold for @cherkashinaresearch. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 337,288 of 1,566,395entries 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 2 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.

Named by

Channels on the register whose posts name this channel's handle.

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

“Cherkashina Research” (@cherkashinaresearch), 1,862 subscribers as measured 19 August 2026. Telegram Register, tgregister.com/channel/cherkashinaresearch.

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.