Channel
@threads_for_doctors
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
4subscribers
+2 since we began measuring on 3 November 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003866805936 |
|---|---|
| Type | Channel |
| Username | @threads_for_doctors |
| Created | 2 November 2026 — measured — dated from the channel’s first post |
| First recorded | 3 November 2026 |
| Last confirmed live | 3 November 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 3 November 2026 |
| On Telegram | t.me/threads_for_doctors |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 3 Nov 2026, 22:58 | 4 | +2 |
| 3 Nov 2026, 07:22 | 2 | first reading |
8 posts held, back to 2 November 2026 — the 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.
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.
| Window | Rolling 30 days · latest post in window 2 November 2026 |
|---|---|
| Posts held | 8 (2 November 2026 – 2 November 2026) |
| Views total | 257 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Nov 2026, 07:22 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.
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.
Telegram’s own ‘edited’ marker: 4 of 8 posts held from the last 30 days (50.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Консультация по Threads 30 минут по видео. Вы уходите с тремя вещами: 1️⃣ Чем вы отличаетесь от конкурентов 2️⃣ Подходит ли под ваши услуги Threads 3️⃣ Как ведение будет выглядеть для вас Стоимость — 0р Без продаж: если по разговору ясно, что мы друг другу полезны - чудесно. Если нет, метафорически пожмем руки и разойдемся на добром слове Пишите «Консультация, Threads» → @igor_bass_work 👇 Игорь, основатель I.D.…
Почему пациенты выбирают моих врачей Я шесть лет продвигаю врачей. За это время я провёл 400+ интервью с пациентами, которые нашли врача через соцсети. Я знаю, на что смотрят пациенты. Как сделать, чтобы выбрали вас. Что вы получите: 1️⃣ Пациенты запомнят вас. Мы начинаем с глубокого интервью. Нюансы выделят вас среди коллег 2️⃣ Сочетание охватов и продаж. Каждый ваш пост несет свою задачу. Ничего просто так не…
Video message, posted without a caption
«Я уже выкладывала в Threads. Не сработало…» Да, большинство врачей уже пробовали. Но: ✖️ Вы выкладывали 5 постов в день? ✖️ Вели дольше месяца? ✖️ У каждого поста был путь к записи? Буду откровенен: Сейчас в Threads выйти на первичку быстрее, чем в Reels. Вам не придётся снимать видео. И это дешевле. Но 15 пациентов в месяц — это работа. Пять постов в день, каждый день. С неба пациенты не падают 😅
Threads подходит вам, если: 👉🏻 Ваш приоритет — первичка, а не медийность 👉🏻 Вы не любите говорить на камеру 👉🏻 Готовы отвечать пациентам в переписке Threads — не волшебная таблетка. Но и Инстаграм в 2021 году волшебным не был. Просто тогда мы приводили врачу 10 000 подписчиков за два месяца, и запись у него закрывалась на полгода вперёд. Тогда 4 из 5 врачи смеялись над Инстой. Сейчас смеются над Трэдсами
Threads уже приводит пациентов Но посмотрите на "стратегию" врачей: низкие цены и акции. ✖️ Врач сидит 2–3 часа в день в телефоне — время ✖️ Пациенты бегают от скидки к скидке — нестабильность ✖️ Работать за расходники — нет прибыли В Threads все конкурируют ценой. Мои врачи не хотят работать на низких чеках 👇 1️⃣ Чтобы шли на имя, а не на цену нужно продумать имидж 2️⃣ Выстроить путь пациента от поста до за…
Threads для врачей — источник пациентов в 2026 году ✔️ Врачей в Threads мало ✔️ Аудитории с деньгами много Пациент из Threads не смотрит блог месяцами. Путь короткий: Увидел пост с воронкой → написал → записался Так работал Инстаграм в 2021. Врачи, которые зашли туда первыми, сегодня укомплектованы премиум пациентами на 6 месяц и более Пример:
Channel created
Showing the 8 most recent of 8 posts we hold for @threads_for_doctors. 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.
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.
Named by 1 registered channel — 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.
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.
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 3 November 2026 — this entry's latest reading, not the date you are reading this.
“Threads для врачей” (@threads_for_doctors), 4 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/threads_for_doctors.
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.