Education — 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 13 September 2026 and assigned it the closest of 31 fixed categories, at 68% 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
9 measurements spanning 24 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 5,271–5,295 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
31 Aug 2026, 08:38
5,290
-1
28 Aug 2026, 10:34
5,291
-1
25 Aug 2026, 01:44
5,292
+5
21 Aug 2026, 08:25
5,287
+4
18 Aug 2026, 06:22
5,283
+2
15 Aug 2026, 00:14
5,281
+4
11 Aug 2026, 09:44
5,277
+2
8 Aug 2026, 12:34
5,275
+1
7 Aug 2026, 14:17
5,274
first reading
Engagement
19 posts held, back to 9 May 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 7 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 19 posts for this entry, the most recent from 2 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
10s
Average length
10s
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
337 reactions across 15 posts, in 9 distinct kinds. The most used accounts for 46.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
155
46.0%
❤🔥
86
25.5%
👍
78
23.1%
😱
5
1.48%
🤯
5
1.48%
⚡
2
0.593%
🌚
2
0.593%
🍌
2
0.593%
🤓
2
0.593%
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 15 of the 19 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 337 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 9 May 2026 to 2 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.
А вот тут ещё одна статья про фиброз легких
Не так давно я ее выкладывал уже, но перевод там был шакальный
Теперь вот есть нормальный)
Крайне рекомендую ее к прочтению, потихоньку ставит на свои места все вопросы по поводу интерстициальных заболеваний легких и не только
Ну и раз уж заговорили про ИИ ветеринарный, то вот вам интересная статейка про БЦС переведенная и структурированная ai
Выше я выкладывал книгу с переводом, но со структурой там было все весьма нехорошо
Здесь же и перевод весьма недурной (почти не встретил факапов при чтении) и структура сохранена полностью
Инструменты развиваются, а мы вместе с ними, так что теперь есть возможность переводить иностранные публикаци…
В телеграмме добавили мультимодальные чаты в виде комьюнити
И это очень круто, потому что не надо заводить отдельные чаты и группы, которые непонятно кому принадлежат
Тестово сделал канал по ии
Возможно, что свои наработки буду публиковать именно там, время покажет
Но пока основная цель это ответы на вопросы, последнее время их становится больше
Так что можно вступить в отдельный чат для этого, чтобы не мешать на…
Ответ то на самом деле очень простой - бог его знает где этот фиброз)
Без биопсии и правда не всегда разберешься
Скрытый смысл здесь в другом - это КТ на вдохе и выдохе
Мне стал интересен ваш опыт коллеги
Делали/пробовали?
Честно скажу, что сам я этого не делал с докторами КТ
Коллеги, я не пропал
Делюсь, над чем сейчас работаю: делаю обучающую платформу.
Главная фишка — никаких курсов «для всех». Вместо стандартного набора лекций человек получает индивидуальный трек под конкретный запрос, уровень и задачу.
Внутри будет не только теория, но и тесты, чтобы сразу проверить, что реально отложилось в голове.
Важный момент: это не замена классическому обучению. Здесь нет преподавателя, кото…
коллеги, моя лекция на секции гиперчувствительности переносится примерно на 12:10
сам еще не проснулся до конца 😀, но буду очень стараться рассказать для вас полезные вещи
всех жду!
А сам я сегодня и завтра буду на черноморской конференции вещать 🗣️
Сегодня будет доклад про гэрб, микроаспирацию и прочие прелести на секции по гастроэнтерологии в 12:15
Завтра же на секции гиперчувствительность (время уточняется, вероятно будут перестановки) расскажу про иммунологию эозинофильных заболеваний дыхательных путей с продолжением про астму и ЭБПП
Приходите, буду рад видеть и подискутировать!
Бл, пока канал окончательно не отдали неврологам и нейросетям, оставлю тут один анонс 😂
В начале июня московские коллеги проводят очный базовый курс по болезням респираторной системы собак и кошек.
Я сам в нём не участвую, но тема для врача первичного приема: кашель, одышка, ВДП/НДП, первичная диагностика и вся эта радость, с которой периодически приходится разбираться на приёме.
Если кому-то удобно доехать до Мос…
👍6🌚2
Showing the 12 most recent of 19 posts we hold for @vet_pulmo. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 19 most recent posts we hold, published 9 May 2026 to 2 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
ВЕТКЭТ @vetcatru · 80,274 Telegram ranks this channel #47 of 85 here — alongside 84 others — read 15 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 31 August 2026 — this
entry's latest reading, not the date you are reading this.
“Vet_pulmo” (@vet_pulmo), 5,290 subscribers as measured 31 August 2026. Telegram Register, tgregister.com/channel/vet_pulmo.
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.