4 measurements spanning 7 days, net +2. 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 1,899–1,905 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 13:18
1,904
+4
10 Aug 2026, 15:22
1,900
-2
7 Aug 2026, 15:37
1,902
no change
6 Aug 2026, 20:05
1,902
first reading
Engagement
11 posts held, back to 24 June 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
56.6%
avg views ÷ 1,904 subscribers
Avg views / post
1,080
8 posts measured
Reaction rate
4.98%
reactions ÷ views · ER floor
Posts in window
8
of 11 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
Window
Rolling 30 days · latest post in window 4 August 2026
Posts held
11 (24 June 2026 – 4 August 2026)
Views total
8,627
Reactions total
430
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 17:20 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.
Reaction mix
607 reactions across 11 posts, in 20 distinct kinds. The most used accounts for 67.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
411
67.7%
❤🔥
99
16.3%
🥰
24
3.95%
🤡
14
2.31%
💔
11
1.81%
😭
10
1.65%
💯
5
0.824%
😁
5
0.824%
🤨
5
0.824%
🤔
4
0.659%
💅
3
0.494%
😐
3
0.494%
🤩
3
0.494%
👌
2
0.329%
😱
2
0.329%
🫡
2
0.329%
custom 5453901746231325622
1
0.165%
✍
1
0.165%
🤣
1
0.165%
🤷♀
1
0.165%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.
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 11 of the 11 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 607reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 24 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
3
across the posts below
Posts paid on
2
of 11 we hold a reading for · 18%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Inostrankamd. 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 11 most recent posts we hold for this entry, published 24 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.
Моё лето 2026 ☀️
Из плюсов работы госпиталистом — гибкий график.
Главное, чтобы за год я отработала нужное количество дней — 182.
То есть примерно 60 дней каждые четыре месяца.
Я, естественно, построила себе на лето довольно экзотический график 😅 Обычно госпиталисты работают неделю on, неделю off.
Я же сначала улетела в Москву на три недели, потом вернулась, сейчас отрабатываю 17 дней подряд, а после этого снова …
Продолжаем про Personal Statement, раз сейчас пик сезона 😌👇
🔹Что писать в первом параграфе?
Это ваше пространство для креативности. Именно первый абзац должен стать самым сильным хуком, который сразу захватит внимание читателя.
🔹О чем можно рассказать?
• детство
• самая яркая черта вашего характера;
• необычное хобби;
• уникальный опыт работы (например, врачом на теплоходе);
• любое событие или опыт, которые дела…
7 идей структуры параграфов для вашего Personal Statement 💭
Как правило, чтобы уложиться в одну страницу, оптимально писать 5 параграфов. Больше пяти я не рекомендую🙅🏽♀️
🔸Первый и последний параграф — отдельная тема. О них поговорим в конце.
Остаются три основных параграфа в центре вашего Personal Statement.
1. Классический вариант (чаще всего подходит свежим выпускникам)
1. Вступление
2. Опыт во время учебы в …
Как круто, когда мои ребятушки поступают 🤩
В этом году впервые я помогала писать Personal Statement не только врачам, но и стоматологам.
Их путь в американскую систему совсем другой. Даже имея диплом стоматолога, полученный за рубежом, они не могут просто начать работать или поступить в резидентуру, как мы с вами. Чтобы войти в американскую систему, им приходится заново поступать в университет и еще 2 года учиться.…
В Москве у меня лицо всегда сияет ✨
Не пойму от чего 🤔 то ли от процедур и походов к косметологу, то ли от того, что я тут ничего не делаю: отдыхаю, гуляю, вкусно ем и танцую.
В любом случае, наслаждаюсь моментом 🥰
Кстати, из процедур я периодически делаю RF microneedling на Vivace. Всем искренно рекомендую 💅
результат как видите без фильтров 😌
Ошибка № 2️⃣
Рассказывать о событиях, которые происходили «вокруг вас».
🔹Такие истории сами по себе могут быть интересными и даже очень сильными. Но не забывайте: вы пишете Personal Statement, а не художественный рассказ.
🔹ПД хочет узнать именно вас. Событие — это всего лишь инструмент, через который вы раскрываете свои качества, ценности и мотивацию.
🔹Посмотрите, как одну и ту же историю можно рассказать соверше…
Часики тикают! ⏰
У всех они тикают. Но особенно громко — у аппликантов Match этого года.
Уже четыре года подряд я всем говорю одно и то же: начинайте работать над Personal Statement в июле.
А вообще, чем раньше, тем лучше.
И каждый год… обязательно каждый год… находятся те, кто откладывает его до самого последнего момента.
Я вас понимаю — сама еще тот прокрастинатор. 😅
Но поверьте опыту тех, кто уже прошел этот …
А потом видим какие-то странные необъяснимые болезни типа POTS или chronic fatigue syndrome которые чаще всего встречаются у женщин, и да, к психиатру 🤡
Tell me the world doesn’t give a f about women’s health without saying it… 🤗
Я снова в Москве! 😍
Успела сходить на всякие процедуры, включая биоревитализацию к подруге-дерматологу. ✨ Ботокс до сих пор не колола. Уже год спрашиваю: «Не пора ли?» А дерматолог говорит: «Не надо».
У меня ведь нет лобных морщин, потому что я в целом unimpressed and unbothered, и из моего лица довольно сложно выдавить морщинку на лбу или выражение искреннего удивления. 😂 Я же столько всего повидала в этой жизни.
…
POV: ты сдала все USMLE, стала Board-Certified Internal Medicine Attending Physician, и теперь тебя спрашивают твое ценное мнение об USMLE — уже как практикующего доктора 🥹
Ну что, как вам USMLE?
Как бы вы ответили? (Вопрос не риторический 😂)
❤🔥50🔥14🤡7🤩2🤣1🥰1custom 54539017462313256221
Showing the 11 most recent of 11 posts we hold for @Inostrankamd. 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 — 825,784 of 1,478,351entries 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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Inostranka M.D.” (@Inostrankamd), 1,904 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/Inostrankamd.
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.
