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Channel

Как сказать

@how_say

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

7,549subscribers

-16 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001346298569
TypeChannel
Username@how_say
Created26 October 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held13
Confirmed unchanged2 times, most recently 18 September 2026
On Telegramt.me/how_say

Topic

Film & TV — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 96% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

7,5367,5657,550.55 August 2026 — 7,565 subscribers6 August 2026 — 7,565 subscribers6 August 2026 — 7,562 subscribers9 August 2026 — 7,561 subscribers13 August 2026 — 7,554 subscribers16 August 2026 — 7,547 subscribers19 August 2026 — 7,544 subscribers23 August 2026 — 7,540 subscribers29 August 2026 — 7,536 subscribers1 September 2026 — 7,537 subscribers5 September 2026 — 7,541 subscribers10 September 2026 — 7,552 subscribers14 September 2026 — 7,549 subscribers7,5495 August 202614 September 2026
13 measurements spanning 39 days, net -16. 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 7,532–7,569 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Sept 2026, 04:217,549-3
10 Sept 2026, 13:597,552+11
5 Sept 2026, 10:207,541+4
1 Sept 2026, 06:387,537+1
29 Aug 2026, 04:437,536-4
23 Aug 2026, 06:337,540-4
19 Aug 2026, 13:527,544-3
16 Aug 2026, 21:297,547-7
13 Aug 2026, 06:267,554-7
9 Aug 2026, 23:337,561-1
6 Aug 2026, 13:517,562-3
6 Aug 2026, 03:067,565no change
5 Aug 2026, 22:017,565first reading

Engagement

24 posts held, back to 23 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pages 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 24 posts for this entry, the most recent from 13 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

666 reactions across 22 posts, in 15 distinct kinds. The most used accounts for 54.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤36354.5%
🔥11417.1%
👍8012.0%
❤‍🔥365.41%
🕊314.65%
👏192.85%
🙏50.751%
💔40.601%
💯40.601%
🤝40.601%
⚡20.3%
👎10.15%
😁10.15%
😢10.15%
🫡10.15%

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 22 of the 24 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 666 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 24 most recent posts we hold, published 23 December 2025 to 13 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
2
across the posts below
Posts paid on
2
of 22 we hold a reading for · 9%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @how_say. 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 24 most recent posts we hold for this entry, published 23 December 2025 to 13 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

13 Aug 2026, 11:06 UTC729 views10 reactionsread 28 August 2026
Photo

27 августа премьера сериала «Большая Фарма» на Окко «Путь лекарства: от научной идеи до пациента Когда мы покупаем препарат в аптеке, мы видим только конечный результат. Но за каждой упаковкой стоят годы исследований, клинических испытаний и сложная система, в которой переплетаются наука, медицина и бизнес. Фармацевтика — это сфера больших возможностей и высокой конкуренции. Здесь появляются настоящие научные откр…

🔥10

12 Aug 2026, 07:52 UTC710 views7 reactionsread 28 August 2026
Forwarded from @vse_ne_naprasnoPhoto

Друзья, приглашаем вас 13 августа на особенный благотворительный вечер «Искусство видеть главное», который пройдет в поддержку фонда «Не напрасно». Все собранные средства направятся на программы помощи людям с онкологическими заболеваниями. Мы соберемся в символичном месте — центре современной офтальмологии «Зрение», где каждый день возвращают людям ясность взгляда, — чтобы вместе сфокусироваться на будущем без стра…

❤3🔥2👎1😢1

10 Aug 2026, 14:49 UTC807 views5 reactionsread 28 August 2026
Forwarded from @russco1Photo

Уважаемые коллеги! Приглашаем вас принять участие в анонимном опросе, посвященном актуальным трудностям коммуникации между врачом-онкологом, пациентом и его родственниками. Цель исследования – определить наиболее распространенные организационные и клинические ситуации, требующие поддержки, обучения и разработки практических инструментов коммуникации. Пройти опрос: https://rosoncoweb.ru/surveys/communication_with_pa…

👍4❤1

2 Aug 2026, 15:13 UTC≈1,260 views16 reactionsread 28 August 2026

Принял участие в подкасте Объединения молодых нефрологов «Профильтровано» . Поговорили про протокол SPIKES и почему не всегда трудные разговоры идут по плану. Тайм-коды 00:00 Вступление 00:53 Как Максим пришел к изучению коммуникативных навыков 05:45 Сообщение плохих новостей влияет на дальнейшую жизнь пациента? 08:19 «Правильное сообщение без ложных надежд» 09:04 Выбор места в российских реалиях - один из наиболе…

👍12❤4

19 Jul 2026, 09:55 UTC≈1,570 views19 reactionsread 28 August 2026

За последние несколько лет появилось очень много выпусков подкастов в различных форматах, затрагивающих тему общения врача и пациента. Как пример, нашел такой подкаст с пластическим хирургом. С появлением ИИ написание информационных постов в телеграмм-канал носит почти бесполезных характер. LLM может написать любой текст, проанализировать литературу и много другое. Даже сейчас, когда пишу этот текст, телеграмм пре…

❤19

13 Jul 2026, 16:39 UTC≈2,370 views7 reactionsread 28 August 2026

Подкаст общества молодых нефрологов -выпуск про протоколы коммуникации

❤6😁1

13 Jul 2026, 09:05 UTC≈1,520 views5 reactionsread 28 August 2026
Forwarded from @hsotalks

​​#hso_talks #hso_games HSO GAMES 3.0: СТАРТ РЕГИСТРАЦИИ 💜 Друзья, всем привет 🤝 Хотим поприветствовать всех на третьих онкологических играх от Высшей школы онкологии и HSO community 🔥 Мы уже рассказали вам, что в этом году олимпиада HSO games 3.0 пройдет в два этапа: 1️⃣ Отборочный этап: запутанный клинический кейс, при решении которого команда должна будет продемонстрировать свое умение провести диагностический…

🔥5

27 Jun 2026, 15:18 UTC≈1,700 views11 reactionsread 28 August 2026

Академия RUSSKO. Вебинар по коммуникации с пациентом

❤6🙏5

17 Jun 2026, 07:10 UTC≈2,360 views53 reactionsread 28 August 2026

Что рекомендую прочитать по теме медицинской коммуникации Джонатан Сильверман, Сюзан Куртц, Джулиет Дрейпер «Навыки общения с пациентами» Это основной учебник по навыкам медицинской коммуникации, где полностью описана Калгари-Кэмбриджская модель. Обязателен к прочтению всем, кто изучает медицинскую коммункацию. Однако читать довольно сложно, я, например некоторые главы перечитываю до сих пор, хотя книга на русском …

❤41🔥8🤝4

16 Jun 2026, 18:33 UTC≈1,870 views20 reactionsread 28 August 2026

Сообщение плохих новостей: как не травмировать пациента Как сделать тяжелый разговор более бережным для всех его участников

❤14🕊5👍1

15 Jun 2026, 05:00 UTC≈2,010 views24 reactionsread 28 August 2026

Нашел публикацию коллег из Красноярска по вопросу коммуникации при врачебной ошибке. «Информирование пациента о случившемся осложнении или допущенной врачебной ошибке: обзор литературы»

❤16🔥8

Showing the 12 most recent of 24 posts we hold for @how_say. 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 5 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.

Медач | Medical Channel
@medach · 28,118
Telegram ranks this channel #18 of 97 here — alongside 96 others — read 10 September 2026
Юрист для врача Ангелина Романовская
@mfcexpert_news · 29,565
Telegram ranks this channel #38 of 96 here — alongside 95 others — read 8 September 2026
Онкология простыми словами
@oncolya · 27,332
Telegram ranks this channel #59 of 98 here — alongside 97 others — read 11 September 2026
Доктор Лесков
@doctorleskov · 27,877
Telegram ranks this channel #79 of 92 here — alongside 91 others — read 10 September 2026
Занимательная эндокринология
@funwithmedicine · 22,742
Telegram ranks this channel #92 of 98 here — alongside 97 others — read 20 September 2026

This channel appears in 5 seed channels' Telegram-generated recommendation lists 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 14 September 2026 — this entry's latest reading, not the date you are reading this.

“Как сказать” (@how_say), 7,549 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/how_say.

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.