Personal blog — 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 10 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
33 measurements spanning 41 days, net -172. 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 16,968–17,192 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
17 Sept 2026, 22:21
16,994
-9
15 Sept 2026, 22:19
17,003
+4
14 Sept 2026, 09:15
16,999
-8
12 Sept 2026, 19:59
17,007
-7
10 Sept 2026, 23:41
17,014
-16
7 Sept 2026, 22:01
17,030
-16
4 Sept 2026, 23:00
17,046
-1
3 Sept 2026, 06:29
17,047
+1
2 Sept 2026, 04:03
17,046
-5
1 Sept 2026, 05:38
17,051
-3
31 Aug 2026, 02:48
17,054
-5
30 Aug 2026, 06:15
17,059
-3
29 Aug 2026, 09:15
17,062
-10
27 Aug 2026, 10:42
17,072
-6
26 Aug 2026, 09:04
17,078
-5
25 Aug 2026, 08:12
17,083
-5
24 Aug 2026, 06:06
17,088
-16
22 Aug 2026, 17:05
17,104
-8
21 Aug 2026, 08:25
17,112
+1
20 Aug 2026, 08:22
17,111
first reading
Engagement
124 posts held, back to 3 August 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 53 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
19.4%
avg views ÷ 16,994 subscribers
Avg views / post
3,300
46 posts measured
Reaction rate
15.8%
reactions ÷ views · ER floor
Posts in window
46
of 124 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 3 September 2026
Posts held
124 (3 August 2026 – 3 September 2026)
Views total
151,594
Reactions total
23,930
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 09:32 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
43s
Average length
22s
Measured directly from 2 videos 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
74,620 reactions across 124 posts, in 22 distinct kinds. The most used accounts for 30.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🤣
22,584
30.3%
😱
13,485
18.1%
❤
10,465
14.0%
🤬
5,727
7.67%
😢
5,005
6.71%
custom 5222068542693719122
4,001
5.36%
🔥
3,837
5.14%
😭
2,585
3.46%
👍
1,996
2.67%
custom 5866400906534194666
1,196
1.60%
🙏
809
1.08%
🤡
712
0.954%
🙊
450
0.603%
custom 5240030083040682149
441
0.591%
custom 5463258057607760727
392
0.525%
🤔
311
0.417%
🗿
292
0.391%
🥰
214
0.287%
👎
51
0.068%
🫡
48
0.064%
2 further kinds
19
0.025%
Custom emoji. 4 of the rows above are 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 counts beside them are Telegram’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 124 of the 124 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 74,620 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 124 most recent posts we hold, published 3 August 2026 to 3 September 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
13
across the posts below
Posts paid on
9
of 124 we hold a reading for · 7%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Vrezhime03. 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 124 most recent posts we hold for this entry, published 3 August 2026 to 3 September 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.
Advertising
Ad load
2.42%
3 of 124 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
3,500
over 3 measured posts
Median views · rest
3,800
over 121 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VSb5w5kDML
1
25 August 2026
25 August 2026
2W5zFJTyHff
1
5 August 2026
5 August 2026
2W5zFKARqCu
1
2 September 2026
2 September 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 124 most recent posts we hold, published 3 August 2026 to 3 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Лечу я с женой и другом.
Другу мы пару так и не смогли найти.
Такой возраст уже, что либо у всех семьи, либо работа, либо нет денег. Ну либо все эти причины в совокупности. Поэтому друг летит один.
Дочь придётся оставить у бабушек, мы бы с удовольствием её взяли, там Диснейленд есть в Шанхае, она была бы в восторге, но.
Чужая страна, долгий перелет, мало ли что случится… я просто побоялся её брать. Это больше надо …
Ну чтож, пора посвятить вас в свои планы на мой отпуск.
Планы грандиозные. Вот уже месяц я сам занимаюсь подготовкой к этому путешествию, и это не так просто как могло казаться на первый взгляд.
Билеты, страховка, отель, симки, миграционные карты. Но самое интересное в другом.
Дорога до Москвы на машине - 10 часов.
Перелет от Москвы до Хайкоу - 10 часов.
Пересадка в Хайкоу - 7 часов.
Перелет из Хайкоу в Шанхай - 3…
Слабонервным и восприимчивым лучше не читать, я не шучу.
Женщина, 45 лет, без сознания.
Повод к вызову уже настораживавший, но интриги докинул еще водитель, когда я сказал ему адрес.
- «Олег, Кутузова 14, частный дом»
- «Кутузова 14?»
- «Да»
- «Кутузова 14? Точно?»
- «Да точно»
- «А ты знаешь что это за адрес?»
- «Нет вроде»
- «Ооооой….»
Олег, помимо того что водитель скорой, он ещё и таксист. И все «злачные» мес…
Ну вот и всё, отработал я смену, и впереди отпуск.
Сегодня я работал только день.
Когда ты в 99% случаев работаешь сутки - день кажется просто лёгкой прогулкой.
Чёт куда-то поездил, стемнело, и уже домой.
Но интересный вызовок один всё таки был… ну как интересный… я бы сказал страшный… щас приеду домой расскажу.
Чуточку терпения ❤️
Сижу капаю бабулю с нарушением ритма.
Пока льётся амиодарон спокойно заполняю планшет, и тут фраза:
- «Ну что, прошли?»
- «Извините, не понял, что я прошел?»
- «Ну игру»
- «Какую игру?»
- «А что в планшете своем делаете?»
И это не первый случай, когда пациенты думают что мы в планшете в игры играем 😂
Ну а кто диски от болгарки в укладке разглядел - отдельный лайк 😂
Кто стоит за производством современных препаратов?🔬
Технологи, микробиологи, инженеры,химики, менеджеры и еще десятки специалистов.
В канале Life Petrovax знакомимся с коллегами, рассказываем об их профессиях и показываем, чем они занимаются каждый день.
А еще делимся свежими вакансиями для тех, кто хочет присоединиться к команде.
👉Подписывайтесь на Life Petrovax
Вот перед отпуском даже люди бесят меньше.
Вот вызвал мужик, 40 лет, с болью в ноге.
Ногу он подвернул 2 недельки назад, а она сейчас предательски болит у него. И нужно его на рентген отвезти, снимок сделать, вдруг перелом, ну.
И я даже не ругался с ним, просто улыбался, обезболил, и ушел из квартиры.
- «А в больницу то не возьмёте меня?»
- «Возьмём конечно)»
- «Когда?»
- «В другой раз)»
И всё, с улыбочкой, без н…
Всем доброе утро.
Я на смене. Я через сутки вышел, но я не расстраиваюсь, и этому есть одно объяснение.
Сегодня моя крайняя смена перед отпуском, а планы на отпуск у меня грандиозные, в которые я вас чуть позже посвящу.
Поэтому сегодня спокойненько катаем смену и с улыбочкой едем в отпуск 😌
Я не люблю выкладывать у себя новости, но мимо этой пройти не могу...
Какой-то тип с лопатой набросился на прихожан у Храма святых Жен-Мироносиц в Москве. Пострадало несколько человек и была вызвана скорая помощь.
И этот неадекват набросился и на девушку фельдшера, и начил избивать лопатой...
Оттаскивать агрессора от пострадавшего бросились коллеги девушки и прохожие. Когда мужчина продолжил оказывать активное соп…
Держите историю с очередных ночных приключений... Всё как обычно, глупость, абсурд, странная логика.
Дают вызов: женщина, 72 года, повышение артериального давления (150/90)
Это мог быть обычный вызов, еслиб не одно НО - адрес этого вызова. Когда водитель глянул навигатор, его уже кое что смутило и он говорит:
- "А туда вообще дорога есть?"
- "Не знаю, должна быть"
- "Ну просто там лесом/полем, вообще граница района…
Надеюсь, что вы ночью спали чуть-чуть покомфортнее.
P.S. на видео не алкаш, которого мы с улицы подобрали, - это я сплю 😂
🤣378❤122🔥40custom 52400300830406821498👍5🙏1
Showing the 12 most recent of 124 posts we hold for @Vrezhime03. 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.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“В режиме 03 | Блог фельдшера 🚑” (@Vrezhime03), 16,994 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Vrezhime03.
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.