Telegram RegisterThe public register of Telegram

Channel

Foot Doctor

@Foot_Doctor

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

412subscribers

+5 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-1001455688023
TypeChannel
Username@Foot_Doctor
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 8 August 2026
On Telegramt.me/Foot_Doctor

Growth

407412409.57 Aug 2026, 15:45 — 407 subscribers8 Aug 2026, 05:46 — 407 subscribers8 Aug 2026, 07:22 — 412 subscribers7 Aug 2026, 15:458 Aug 2026, 07:22
3 measurements taken within a single day, net +5. 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 406–413 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 07:22412+5
8 Aug 2026, 05:46407no change
7 Aug 2026, 15:45407first reading

Engagement

20 posts held, back to 10 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
51.7%
avg views ÷ 412 subscribers
Avg views / post
213
12 posts measured
Reaction rate
4.95%
reactions ÷ views · ER floor
Posts in window
16
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. It is computed over the 10 of 12 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held20 (10 July 20266 August 2026)
Views total2,555
Reactions total115
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:46 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
52s
Average length
52s

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

142 reactions across 14 posts, in 6 distinct kinds. The most used accounts for 57.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍8257.7%
3927.5%
🔥149.86%
👏32.11%
🙏32.11%
👻10.704%

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 14 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 142reactions 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 10 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, 12:18 UTC83 views9 reactionsread 8 August 2026
Forwarded from @multendoVideo

Когда тебе не до себя... Наверное, каждый из нас хотя бы раз говорил себе: • «Сейчас не до врача.» • «Надо сначала закончить все дела.» • «После отпуска обязательно займусь здоровьем.» • «Да ладно... не смертельно.» Проблема в том, что некоторые заболевания не ждут, когда у нас появится свободное время. Одно из них — сахарный диабет. Он редко заявляет о себе внезапно. Чаще организм месяцами, а иногда и годами, подает

👍7🔥2

5 Aug 2026, 06:40 UTCviews —

Foot Doctor pinned «Здесь собраны все ключевые материалы — для пациентов, их родственников и коллег. Сохраняйте и пересылайте тем, кому это может быть полезно. 👇 Навигация по каналу. Часть 1. 👩‍⚕️ Обо мне • Обо мне https://t.me/Foot_Doctor/33 • С чем к нам обращаться? ht…»

5 Aug 2026, 06:39 UTCviews —

Foot Doctor pinned «Навигация по каналу. Часть 2. 5️⃣ Стопа Шарко • Загадка, окутанная отеком: почему стопа Шарко до сих пор убивает ноги? https://t.me/Foot_Doctor/85 • Почему красная и опухшая стопа — это не всегда инфекция? https://t.me/Foot_Doctor/87 • Почему пациенты со…»

5 Aug 2026, 06:39 UTCviews —

Foot Doctor pinned «Здесь собраны все ключевые материалы — для пациентов, их родственников и коллег. Сохраняйте и пересылайте тем, кому это может быть полезно. 👇 Навигация по каналу. Часть 1. 👩‍⚕️ Обо мне • Обо мне https://t.me/Foot_Doctor/33 • С чем к нам обращаться? ht…»

5 Aug 2026, 06:37 UTC425 views8 reactionsread 8 August 2026

Навигация по каналу. Часть 2. 5️⃣ Стопа Шарко • Загадка, окутанная отеком: почему стопа Шарко до сих пор убивает ноги? https://t.me/Foot_Doctor/85 • Почему красная и опухшая стопа — это не всегда инфекция? https://t.me/Foot_Doctor/87 • Почему пациенты со стопой Шарко отказываются от лечения? https://t.me/Foot_Doctor/95 • Междисциплинарный консенсус https://t.me/Foot_Doctor/46 —— 6️⃣ Обувь, стельки и биомеханика

👍7🙏1

5 Aug 2026, 06:34 UTC112 viewsread 8 August 2026

Здесь собраны все ключевые материалы — для пациентов, их родственников и коллег. Сохраняйте и пересылайте тем, кому это может быть полезно. 👇 Навигация по каналу. Часть 1. 👩‍⚕️ Обо мне • Обо мне https://t.me/Foot_Doctor/33 • С чем к нам обращаться? https://t.me/Foot_Doctor/28 • Видео о нашей работе https://t.me/Foot_Doctor/47 1️⃣ С чего начать? (для новичков) • Как спасти ноги при диабете за 3 минуты: 3 правила

5 Aug 2026, 06:33 UTC111 views9 reactionsread 8 August 2026
Photo

Нас уже 400! И кое-что для вас… Друзья, у нас радостная новость — 400 подписчиков! 🎉 Среди вас — пациенты, их родственники, коллеги-врачи и просто неравнодушные люди. Каждый из вас делает этот канал живым и полезным. Спасибо, что вы со мной! 🙌 А теперь — подарок! 🎁 За это время в канале накопилось много полезных материалов. Чтобы вы не листали ленту часами, я собрала всё важное в одном месте. В следующих двух по

👍6🔥3

3 Aug 2026, 06:53 UTC136 views2 reactionsread 8 August 2026
Photo

Как понять, почему болят стопы при диабете? Боль в стопах при диабете — это не норма. И терпеть её нельзя. Но чтобы лечить, нужно понять причину. Чаще всего их три: сосуды, нервы или суставы. Как их отличить? Разбираемся по шагам. 👇 --- 1️⃣ Сосудистая боль (атеросклероз артерий нижних конечностей) Что происходит: На стенках артерий откладываются холестериновые бляшки, постепенно сужая или даже полностью перекрыв

👍2

3 Aug 2026, 06:53 UTC138 views9 reactionsread 8 August 2026

--- 3️⃣ Суставная боль (остеоартроз, плоскостопие) Что происходит: Износ хрящей, воспаление или деформация суставов. Часто связана с нагрузкой, лишним весом, возрастом. Как распознать: • Боль локализуется в области отдельных участков стопы. • Усиливается при нагрузке (ходьба, стояние) и уменьшается в покое. • Появляется утренняя скованность — трудно «расходиться» после сна. • Часто есть видимые деформации (косточк

👍72

30 Jul 2026, 08:20 UTC210 views18 reactionsread 8 August 2026
Photo

Нейропатия, индуцированная компенсацией диабета: когда «хорошее» лечение приносит страдания История одной пациентки… Недавно у меня на приёме была молодая красивая девушка с диабетом 1 типа. Ей 21 год, через неделю — свадьба. Но вместо радости от примерки платья и туфель — жгучая боль в туловище, стопах и икрах, которая не даёт спать по ночам. 🔥😞 Несколько месяцев она не могла снизить сахар с 20 ммоль/л и легла в

👍125👻1

28 Jul 2026, 05:32 UTC236 views9 reactionsread 8 August 2026
Photo

❤️‍🩹 «Он не слушает!»: Как уговорить родственника с диабетом показать ноги врачу? «Доктор, я уже несколько месяцев прошу маму показать рану, а она отмахивается: "Ничего не болит, это просто мозоль"». Знакомо? 😔 Родственники видят проблему, переживают, но натыкаются на стену отрицания. Давление и скандалы не работают — только портят нервы вам обоим. Сегодня даю конкретный алгоритм, который работает. Без запугиваний

👍63

Showing the 12 most recent of 20 posts we hold for @Foot_Doctor. 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 — 563,451 of 1,480,688entries 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

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.

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

“Foot Doctor” (@Foot_Doctor), 412 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/Foot_Doctor.

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.