Health & wellness — 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 95% 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 the other topics.
Growth
56 measurements spanning 97 days, net +89. 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 16,644–16,832 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)
Subscribers
Change
12 Nov 2026, 16:49
16,788
+3
8 Nov 2026, 23:08
16,785
-6
7 Nov 2026, 12:06
16,791
-3
6 Nov 2026, 14:31
16,794
+3
5 Nov 2026, 11:20
16,791
-1
4 Nov 2026, 09:20
16,792
+5
3 Nov 2026, 11:34
16,787
+2
2 Nov 2026, 10:39
16,785
-3
1 Nov 2026, 12:54
16,788
-1
31 Oct 2026, 13:16
16,789
-5
30 Oct 2026, 15:29
16,794
+4
29 Oct 2026, 15:57
16,790
-8
28 Oct 2026, 15:17
16,798
-3
26 Oct 2026, 16:08
16,801
+7
25 Oct 2026, 15:08
16,794
-6
24 Oct 2026, 12:00
16,800
-1
23 Oct 2026, 14:27
16,801
-3
22 Oct 2026, 12:09
16,804
-6
21 Oct 2026, 04:00
16,810
+8
19 Oct 2026, 23:15
16,802
first reading
Engagement
150 posts held, back to 31 July 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 79 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.23%
avg views ÷ 16,788 subscribers
Avg views / post
1,380
59 posts measured
Reaction rate
4.05%
reactions ÷ views · ER floor
Posts in window
59
of 150 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 58 of 59 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 14 November 2026
Posts held
150 (31 July 2026 – 14 November 2026)
Views total
81,494
Reactions total
3,236
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 17:43 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
Photos
≈1,400
Videos
≈69
Links
≈71
Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
3h 13m
Average length
7m 28s
Measured directly from 26 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
8,132 reactions across 144 posts, in 25 distinct kinds. The most used accounts for 70.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5,756
70.8%
🔥
770
9.47%
👍
580
7.13%
😢
216
2.66%
💯
194
2.39%
🎉
102
1.25%
👏
95
1.17%
🤯
92
1.13%
😱
84
1.03%
🙏
46
0.566%
😁
39
0.48%
🙈
39
0.48%
😨
38
0.467%
🤔
37
0.455%
👀
9
0.111%
👌
8
0.098%
🤡
5
0.061%
✍
4
0.049%
😭
4
0.049%
🤣
4
0.049%
5 further kinds
10
0.123%
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 144 of the 150 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 8,132 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 150 most recent posts we hold, published 31 July 2026 to 14 November 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
Telegram’s own ‘edited’ marker: 18 of 59 posts held from the last 30 days (30.5%) 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).
Какой смысл делать сложно сочиненные и такие не однозначные анализы, если некому их трактовать?
Опять же вопросы: что такое «норм»? Пик инсулина? Это сколько? С каких цифр до каких от повышался? Верхние показатели- это сколько?
В лбом случае мы никогда не лечим анализы.
ВотиВсе, ВотиВсе…. Вот та самая ситуация с попыткой по анализам поставить диагноз и составлять какие то «схемы»
Талия под 110? А остальное тело? А лет хотя бы сколько? А грудь какого размера? А рост какой?
Вполне возможно, что там литров 10 отеков в кишечнике и каждая грудь 6 размера по 1,5-2 кило.
Что остается? Вычитаем из 100 кг 14… и остается 86. А если рост у дамы 180? Так абсолютно нормальный вес.
Не начинаю…
В нашем очередном диалоге с Владимиром Фокиным речь шла в том числе о легендарном МИКС 76 от рукето (промокод на сайте RUKETOXHIV)
Сочетание дикого ямса и красного женьшеня- прекрасная поддержка иммуноэндокринной системы в переходный период у женщин. Мужчинам тоже этот препарат очень подходит и «бодрит» во многих мужских смыслах.
Дикий ямс- известный источник для производства препаратов прогестерона. Красный женьше…
Прямо сейчас записываем очередной диалог в Владимиром Фокиным.
Напомню, что 16 диалогов с этим удивительным специалистом доступны по смешной стоимости 👇👇
https://hivclub.ru/subscription/apeptid/
Жестокий гликативный удар. При этом анализы «ничего не показали».
Что еще? Генетика 👇👇
Кроме известного многим PPARG, есть еще несколько генов, связанных именно с ИР и нарушением действия инсулина.
Но это варианты с небольшим вкладом в развитие ИР: по одному гену нельзя надёжно предсказать инсулинорезистентность. Только комбинация нескольких генов имеет значение и то на фоне других факторов, запускающих ИР.
Мне н…
Какие же грамотные у меня подписчики! Потрясающий разбор полетов!
Именно так! Инсулинорезистентность ИР- это в принципе защитный механизм перераспределения энергетических ресурсов в любой «стремной» ситуации.
Инсулиновый рецептор невероятно сложно организован. И чем больше микро микро поломок этого рецептора, тем хуже он принимает сигнал от инсулина, и тем хуже передает сигнал внутрь клетки.
А если еще есть набор …
Попробуем более понятно объяснить то, что реально очень сложно для понимания.
Мы и наша медицина живет с постоянной оглядкой на заокеанских экспертов. Америка захлебывается от ожирения.
Вы ихних жирных представляете себе? Которые могут только на тележках передвигаться. Наши жирные по сравнению с ихними толстыми просто барби стройняшки.
Генетика у многих американцев такая. Гиперинсулинэмия генетическая. Инсулина …
Как же понять, что она есть, эта самая ИР?
Все известные на сегодняшний момент индексы, типа НОМА, САRO, и новый индекс, учитывающий соотношение триглицеридов к глюкозе…. Все эти индексы рассчитаны на нормальную функцию бета клеток ПЖЖ. И способность ее синтезировать достаточное количество инсулина в ответ на развивающуюся ИР.
Все эти индексы прекрасно работают в привычной картине мира с развитием кардио-рено-гепат…
И еще любопытно то, что при ИР и не высоком инсулине бОльший результат показала тактика восстановления работы b клеток ПЖЖ, то есть восстановление уровня инсулина.
Борьба собственно с самой ИР оказалась менее эффективной.
Как нам такой переворот в сознании и подходе в борьбе с инсулином?
Что еще интересненького доказательная медицина нам доказательно доказала?
А ВонОноЧе. С жиром то, оказывается, бороться НЕ ОБЯЗАТЕЛЬНО 🤷🏻♀️🤷🏻♀️🤷🏻♀️
Надо добиваться некого перераспределения жира…. А если вспомнить, что в раздутых животах на тонких ножках и жира то «кот наплакал»….
Одни раздутые отечные петли кишечника с гниющим и бродящим (в прямом смысле этих слов) содержимым… то речь уже идет о восстановлении …
Вот и доказательная медицина подоспела со своими доказательствами:
Низкий уровень инсулина при существующей инсулинорезистентности- это ВЫСОКИЙ риск атеросклероза (утолщения интима медиа) и СД2 типа.
У людей в генетически высокой способностью ПЖЖ синтезировать больше инсулина тоже есть свои риски. И риски эти тоже серьезные. Но они другие.
Лично для меня такие риски (при высоком инсулине) более управляемы, чем при…
🔥43👍13❤12
Showing the 12 most recent of 150 posts we hold for @ihisamova. 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.
Posts edited after publishing
@ihisamova edited 7 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
18 August 2026
Most recent edit
14 November 2026
Posts recorded as deleted after publishing
We recorded 1 post on @ihisamova as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
8 August 2026
Most recent seen missing
8 August 2026
Median time before seen missing
24 hours
Seen missing in the last 30 days
0
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Если этот телеграмм канал перестанет существовать, удобнее перейти
МАХ40%
В Контакте55%
Хоть в Тик Ток, лишь бы с ХИВ12%
И без ХИВ экспертов много3%
The shares total 110%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Shares as published, totalling 101%. 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 150 most recent posts we hold, published 31 July 2026 to 14 November 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.
Mentions
Named by 3 registered channels — 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.
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.
Юсипова - системная медицина! @yusipovacom · 54,528 Telegram ranks this channel #16 of 89 here — alongside 88 others — read 24 August 2026
Мигрень СТОП @migreni_stop · 19,467 Telegram ranks this channel #17 of 92 here — alongside 91 others — read 1 October 2026
Dr.Shefova / Доктор Шефова @dr_shefova · 69,236 Telegram ranks this channel #18 of 88 here — alongside 87 others — read 20 August 2026
Доктор Егоров @doctorilyaegorov · 32,845 Telegram ranks this channel #26 of 92 here — alongside 91 others — read 4 September 2026
Evstigneeva_gastro @evstigneeva_gastro · 19 Telegram ranks this channel #27 of 92 here — alongside 91 others — read 11 September 2026
ДОКТОР ЭЛЯ @dzhobavaeliso · 32,031 Telegram ranks this channel #29 of 88 here — alongside 87 others — read 6 September 2026
ᴍᴀᴢᴀᴇᴠᴅᴏᴄ @mazaevdoc · 36,198 Telegram ranks this channel #35 of 81 here — alongside 80 others — read 1 September 2026
Доктор Виктория Орлинская @cardiodokstories · 162,333 Telegram ranks this channel #35 of 88 here — alongside 87 others — read 12 August 2026
ДЕТОКСКАФА @detoxkafa · 27,302 Telegram ranks this channel #36 of 87 here — alongside 86 others — read 11 September 2026
Gastrosmile🌱Гастросмайл🌱Венера Хабирова🌱Интегративный Гастроэнтеролог @gastrosmile · 40,951 Telegram ranks this channel #38 of 93 here — alongside 92 others — read 29 August 2026
🦋 Библиотека АИТ @ms_hashimoto · 19,523 Telegram ranks this channel #40 of 91 here — alongside 90 others — read 1 October 2026
Заметки невролога Овсянникова КС @zametki_nevrologa · 72,068 Telegram ranks this channel #46 of 85 here — alongside 84 others — read 20 August 2026
ИЗБА МОЛОДИЛЬНЯ @izbamolodilnya · 21,109 Telegram ranks this channel #48 of 86 here — alongside 85 others — read 26 September 2026
Helena Kornilova / Елена Корнилова @helenkornilova · 181,739 Telegram ranks this channel #49 of 84 here — alongside 83 others — read 12 August 2026
Химия Пищи/Биохакинг/ А.Родионова @ximiya_tasya_ro · 24,173 Telegram ranks this channel #53 of 93 here — alongside 92 others — read 16 September 2026
Doctor_alina @doctor_alina_enikeeva · 24,375 Telegram ranks this channel #55 of 81 here — alongside 80 others — read 16 September 2026
Doclana.mornatural @doclana_mornatural · 31,969 Telegram ranks this channel #56 of 80 here — alongside 79 others — read 6 September 2026
Док_Магомедова/Doc_Magomedova @doc_magomedova777 · 69,327 Telegram ranks this channel #57 of 81 here — alongside 80 others — read 20 August 2026
Доктор Владимир Попов | detsdoc @detsdoc · 58,288 Telegram ranks this channel #61 of 91 here — alongside 90 others — read 22 August 2026
Эндокринолог Либеранская @liberanskaya · 25,629 Telegram ranks this channel #63 of 88 here — alongside 87 others — read 14 September 2026
Ирина Шиманская Holistica @tibetdoc · 78,901 Telegram ranks this channel #66 of 96 here — alongside 95 others — read 18 August 2026
Первая Школа Биохакинга | Здоровье @pervayashkola · 23,734 Telegram ranks this channel #72 of 90 here — alongside 89 others — read 17 September 2026
Ирина Баранова🇷🇺 Врач anti-age @baranovaia · 31,008 Telegram ranks this channel #72 of 92 here — alongside 91 others — read 6 September 2026
Кулинарная медицина. Рецепты здоровья Кати Янг @katya_young · 33,075 Telegram ranks this channel #72 of 90 here — alongside 89 others — read 4 September 2026
This channel appears in 32 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“Врач Хисамова Ирина Валерьевна” (@ihisamova), 16,788 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/ihisamova.
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.