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 9 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
31 measurements spanning 43 days, net +187. 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 31,412–31,682 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
18 Sept 2026, 22:00
31,642
-1
16 Sept 2026, 14:21
31,643
-8
14 Sept 2026, 21:38
31,651
+1
13 Sept 2026, 10:57
31,650
+8
8 Sept 2026, 20:02
31,642
+15
3 Sept 2026, 10:42
31,627
+53
2 Sept 2026, 02:23
31,574
-4
1 Sept 2026, 00:08
31,578
+17
30 Aug 2026, 20:53
31,561
+8
29 Aug 2026, 19:04
31,553
+11
28 Aug 2026, 15:38
31,542
-2
27 Aug 2026, 16:16
31,544
+6
26 Aug 2026, 16:12
31,538
-3
25 Aug 2026, 16:23
31,541
+3
24 Aug 2026, 19:45
31,538
+5
23 Aug 2026, 02:47
31,533
+5
21 Aug 2026, 16:28
31,528
+9
20 Aug 2026, 17:34
31,519
-1
18 Aug 2026, 12:43
31,520
+11
17 Aug 2026, 15:09
31,509
first reading
Engagement
68 posts held, back to 4 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 73 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
5.77%
avg views ÷ 31,642 subscribers
Avg views / post
1,820
39 posts measured
Reaction rate
3.27%
reactions ÷ views · ER floor
Posts in window
39
of 68 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 24 September 2026
Posts held
68 (4 August 2026 – 24 September 2026)
Views total
71,158
Reactions total
2,324
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Sept 2026, 08:14 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
≈7,890
Videos
≈1,050
Links
≈860
Lifetime counters from Telegram’s own channel header, read 24 September 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
37m 51s
Average length
1m 27s
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
4,004 reactions across 68 posts, in 25 distinct kinds. The most used accounts for 49.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,986
49.6%
🔥
1,044
26.1%
❤🔥
247
6.17%
🙏
205
5.12%
👍
152
3.80%
👏
130
3.25%
😱
58
1.45%
💯
39
0.974%
🤩
36
0.899%
🥰
32
0.799%
😍
23
0.574%
😁
9
0.225%
😭
7
0.175%
🍌
4
0.1%
🍾
4
0.1%
👀
4
0.1%
💋
4
0.1%
💔
4
0.1%
🥴
4
0.1%
✍
3
0.075%
5 further kinds
9
0.225%
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 68 of the 68 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 4,004 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 68 most recent posts we hold, published 4 August 2026 to 24 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.
Объявления. Что нового и что в планах. Не пропустите!
1. 27 - го в Москве конференция "Здоровье семьи", записываю лекцию: "Гормональное угасание - эстетический коллапс женщины".. Будут интересные другие спикеры - эксперты. См здесь, билеты недорогие и на онлайн можно будет посетить: https://achekanova.ru/conf
2. Закончим ТГЛ рилсы из ИГ - моей "шпаргалкой" - мой подарок подписчикам "два основных параметра" в липид…
Гормоны поддерживают кожу? Конечно! Мы разбирали это на последнем Мастер Классе.
И у меня будет повторяться лекция "Гормональное угасание женщины. Эстетический коллапс"
на конференции по семейному здоровью https://achekanova.ru/conf
Да, эстриол. DHEA - наружно, дозированно, для улучшения состояния кожи. Прогестерон там тоже имеет свое приложение.
Высокие триглицериды.
Часть 1
Триглицериды - это гораздо больше, чем ещё одна строчка в липидограмме.
⠀
Иногда одного этого показателя достаточно, чтобы начать задавать совсем другие вопросы: что происходит с чувствительностью к инсулину? Есть ли избыток висцерального жира? Как чувствует себя печень? Что с углеводным обменом, уровнем ЛПВП и общим метаболическим профилем?
⠀
❗️ За выраженным повышением триглицеридов з…
Ловлю себя на мысли, что я такая "древняя" )), что то, что я помню десятилетиями камуфляжилось, ОФИЦИАЛЬНО, регуляторами, правительствами, СИСТЕМОЙ, не говоря уже о их фанатичных, нередко одержимых, "рупорах", под конспирологию "чистой воды", "вред недоказан", "это в вашей больной голове", вдруг, звучит, как подтвержденный факт от официальных лиц.
Давно наблюдаю эту "интересную" закономерность - целый ряд неудобн…
🔴 Можно ли использовать местный эстриол во время грудного вскармливания или лучше ждать завершения ГВ?
На фоне лактации высокий пролактин физиологически снижает активность яичников и уровень эстрогенов. Поэтому у части женщин появляются сухость слизистых, жжение, болезненность при сексе и мочевые симптомы - то, что сегодня всё чаще обсуждают как генитоуринарный синдром лактации.
И здесь важный момент: выраженный ди…
Иногда интересные эффекты гормональной терапии обнаруживаются совсем не там, где их ожидали.
В этом случае крем Revita с эстриолом и DHEA применялся локально по назначению - но на фоне применения были отмечены выраженные изменения пигментации кожи лица. И это хороший повод обсудить важный момент: локальное нанесение гормонов не всегда означает исключительно локальное действие.
Эстриол и DHEA взаимодействуют с рецеп…
Десятилетиями в медицине Lp(а) был «изгоем». Его называли сугубо генетическим, немодифицируемым фактором риска. Нам говорили: если он высокий - смиритесь и пейте таблетки.
⠀
💘 Но что, если это не так?
⠀
Представьте себе Lp(а) не как врага, а как «умную губку». Его задача - адсорбировать окисленные фосфолипиды (метаболический «мусор») и нести их прямо в печень. Там, через взаимодействие с рецепторами SRB1 и активацию …
☄️ Американская кардиологическая ассоциация (AHA) поставила точку. В своей статье «The burden of proof has been met» они официально признали свинец и кадмий независимыми факторами риска сердечно-сосудистых заболеваний.
⠀
Что это меняет для вас?
⠀
🔴 Свинец теперь официально стоит в одном ряду с курением, высоким давлением и лишним весом.
⠀
🔴 Даже при идеальном холестерине и давлении, накопленные металлы продолжают раз…
Громкий скандал в Украине.
История BIOPATID - не столько история одного "тирзепатида для похудения".
Она о рынке, который вырос быстрее, стремительно, соблазнительно, чем способность пациента понять, что именно ему вводят.
Пептиды стали модными, за ними, действительно, есть будущее.
Инъекции, пеллеты становятся привычными и выходят за пределы США. Удобная, почти доступная, почти "wellness"-индустрия..
Красива…
Случай на PubMed открывает глаза на медицинский абсурд. Женщина поступает в реанимацию с картиной инфаркта и катастрофическим Липопротеином(а) выше 800 единиц. По классическим протоколам её ждет пожизненная терапия статинами. Но ангиография показывает: бляшек нет, сосуды идеально чистые. Причина: тяжелое отравление свинцом на заводе, которое вызвало мощный кардиоспазм.
⠀
Этот кейс буквально ломает миф о «немодифициру…
Эстротерапия - БЗГТ, снижает Lp(a) при разных путях введения. Насколько выраженным будет снижение, зависит от пути введения, дозы и индивидуальной биохимии женщины.
Эстрогены снижают Lp(a) и у мужчин. Но исследования проводились в весьма специфической группе мужчин с раком предстательной железы, где эстрогены использовались как андроген-депривационная терапия. Поэтому переносить это на обычных мужчин и тем более пре…
🔥36❤25🙏5
Showing the 12 most recent of 68 posts we hold for @doclana_mornatural. 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
@doclana_mornatural edited 4 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
20 August 2026
Most recent edit
4 September 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Helena Kornilova / Елена Корнилова @helenkornilova · 183,157#1
Read from Telegram’s recommendation API, most recently 6 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
ᴍᴀᴢᴀᴇᴠᴅᴏᴄ @mazaevdoc · 36,624 Telegram ranks this channel #1 of 81 here — alongside 80 others — read 1 September 2026
ДЕТОКСКАФА @detoxkafa · 27,225 Telegram ranks this channel #2 of 87 here — alongside 86 others — read 11 September 2026
Юсипова - системная медицина! @yusipovacom · 54,288 Telegram ranks this channel #2 of 89 here — alongside 88 others — read 24 August 2026
Doctor_alina @doctor_alina_enikeeva · 24,430 Telegram ranks this channel #3 of 81 here — alongside 80 others — read 16 September 2026
Amelyrain.eco Эксперт по оздоровлению @amelyrain · 32,617 Telegram ranks this channel #3 of 70 here — alongside 69 others — read 5 September 2026
detsdoc | здоровье & Remee+ @detsdoc · 59,048 Telegram ranks this channel #3 of 91 here — alongside 90 others — read 22 August 2026
Заметки невролога Овсянникова КС @zametki_nevrologa · 71,593 Telegram ranks this channel #3 of 85 here — alongside 84 others — read 20 August 2026
Helena Kornilova / Елена Корнилова @helenkornilova · 183,157 Telegram ranks this channel #5 of 84 here — alongside 83 others — read 12 August 2026
Naturodoc_ @Naturodockamila · 32,702 Telegram ranks this channel #6 of 69 here — alongside 68 others — read 5 September 2026
Док_Магомедова/Doc_Magomedova @doc_magomedova777 · 70,659 Telegram ranks this channel #8 of 81 here — alongside 80 others — read 20 August 2026
🚷 Переходник 🚷 @dr_shefova · 3 Telegram ranks this channel #9 of 88 here — alongside 87 others — read 20 August 2026
Доктор Марина Мальцева|🌿Интегративная медицина @mvmaltseva · 40,441 Telegram ranks this channel #10 of 82 here — alongside 81 others — read 30 August 2026
Эндокринолог Либеранская @liberanskaya · 25,541 Telegram ranks this channel #11 of 88 here — alongside 87 others — read 14 September 2026
Доктор Анна Читанава @annacheeta · 33,816 Telegram ranks this channel #11 of 90 here — alongside 89 others — read 3 September 2026
detox4sisters @detox4sisters · 34,921 Telegram ranks this channel #14 of 80 here — alongside 79 others — read 2 September 2026
Ирина Шиманская Holistica @tibetdoc · 79,620 Telegram ranks this channel #18 of 96 here — alongside 95 others — read 18 August 2026
Natalia_Promolodost @club_pro_molodost · 30,126 Telegram ranks this channel #19 of 80 here — alongside 79 others — read 7 September 2026
Валентина Жукова @nutriciologzhu · 38,466 Telegram ranks this channel #21 of 81 here — alongside 80 others — read 31 August 2026
Клиника Калинченко @kalinchenko_dlya_pacientov · 40,399 Telegram ranks this channel #21 of 91 here — alongside 90 others — read 30 August 2026
Gastrosmile🌱Гастросмайл🌱Венера Хабирова🌱Интегративный Гастроэнтеролог @gastrosmile · 41,219 Telegram ranks this channel #21 of 93 here — alongside 92 others — read 29 August 2026
ПланетаМед - клиники сложного диагноза Василия Генералова @planetamed · 35,153 Telegram ranks this channel #23 of 83 here — alongside 82 others — read 2 September 2026
АНЧА БАРАНОВА @anchabaranova · 35,710 Telegram ranks this channel #25 of 98 here — alongside 97 others — read 2 September 2026
Ксения Машкина @dr_mashkina · 75,166 Telegram ranks this channel #30 of 97 here — alongside 96 others — read 19 August 2026
Здравомыслие в еде @zdravomislievede · 31,498 Telegram ranks this channel #31 of 97 here — alongside 96 others — read 6 September 2026
This channel appears in 49 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Doclana.mornatural” (@doclana_mornatural), 31,642 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/doclana_mornatural.
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.