Канал про здоровье
👩⚕️Я -Наталья Кондакова, доктор натуропатии, ароматерапевт, специалист по здоровью.
Начни с этого 👇
https://salebot.site/kurs_zdorove_v_detalyah_1
Запись в лист ожидания на консультацию
Пишите ассистенту @Mila_VV
Created
Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 100% 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
32 measurements spanning 42 days, net +359. 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 68,502–69,024 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
18 Sept 2026, 15:01
68,964
+93
16 Sept 2026, 09:21
68,871
+42
14 Sept 2026, 13:20
68,829
-2
12 Sept 2026, 23:37
68,831
+37
11 Sept 2026, 01:37
68,794
-98
8 Sept 2026, 02:18
68,892
-14
5 Sept 2026, 00:18
68,906
+23
3 Sept 2026, 09:05
68,883
-11
2 Sept 2026, 04:13
68,894
+25
1 Sept 2026, 02:35
68,869
+13
30 Aug 2026, 22:46
68,856
+7
29 Aug 2026, 21:35
68,849
+12
29 Aug 2026, 00:52
68,837
-14
28 Aug 2026, 02:06
68,851
+47
27 Aug 2026, 00:35
68,804
-53
25 Aug 2026, 23:37
68,857
+25
24 Aug 2026, 20:58
68,832
+16
23 Aug 2026, 06:36
68,816
+71
21 Aug 2026, 21:38
68,745
+59
20 Aug 2026, 19:55
68,686
first reading
Engagement
164 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 111 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.00%
avg views ÷ 68,964 subscribers
Avg views / post
1,380
84 posts measured
Reaction rate
1.86%
reactions ÷ views · ER floor
Posts in window
84
of 164 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 69 of 84 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 28 September 2026
Posts held
164 (4 August 2026 – 28 September 2026)
Views total
115,913
Reactions total
1,829
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Sept 2026, 15:34 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
≈2,420
Videos
≈1,600
Links
≈1,420
Lifetime counters from Telegram’s own channel header, read 28 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
1h 29m
Average length
2m 53s
Measured directly from 31 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
3,941 reactions across 141 posts, in 11 distinct kinds. The most used accounts for 42.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,675
42.5%
🔥
1,600
40.6%
👍
509
12.9%
🥰
63
1.60%
🤣
37
0.939%
🙏
24
0.609%
😱
13
0.33%
😨
8
0.203%
👏
6
0.152%
🤩
5
0.127%
💯
1
0.025%
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 164 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 3,941 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 164 most recent posts we hold, published 4 August 2026 to 28 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.
КАК ИЗБАВИТЬСЯ ОТ СЕДИНЫ
Делюсь своим лайфхаком☝️
❗️Что важно понять
Седина — это не про возраст, а про сигнал организма. Краска маскирует симптом, а причина — глубже. Волосы первыми «отключают» пигментацию, когда клеткам не хватает ресурса на восстановление.
Обо всём подробно я расскажу на 2-дневном практикуме «Пептиды: как запустить восстановление, когда ничего не помогает».
Для вас — полный пакет участия:
✔️ 2…
СХЕМА ВОССТАНОВЛЕНИЯ ЗРЕНИЯ
Часто встречаю ваши комментарии👇
➡️ Глаза устают к обеду, будто песка насыпали.
➡️ Зрение теряет четкость, все плывет после работы за компом.
➡️ Сухость, покраснение, чувство, что вот-вот лопнут капилляры.
➡️ Страх, что зрение будет только падать, а очки станут толще.
➡️ Головные боли от напряжения, хотя к окулисту — «все в норме».
Пептиды умеют чинить ткани, подтягивать кожу, возвращать…
2 лайфхака для ваших глаз
Ежедневно я провожу за компьютером не один час. Глаза напрягаются, устают, появляются деструкции — маленькие червячки, которые будто парят передо мной.
Поэтому я взяла для себя за правило два простых действия:
1️⃣ Пептиды для глаз
Я подобрала их под свои особенности и пожелания: утренние и вечерние. Вы даже не представляете, как сильно заметна разница в остроте зрения и отсутствии постоян…
МОЁ ДО/ПОСЛЕ
Друзья мои, я уверена: с годами можно становиться только лучше и краше.
Но это не про волшебную таблетку. Это про СИСТЕМУ.
Что у меня в базе?
✅ спорт
✅ питание
✅ качественный сон
✅ восстановление
Но есть ещё один момент, который реально изменил картинку 👇
ПЕПТИДЫ
‼️Но их ельзя просто взять и начать принимать их наугад.
Нужно понимать:
— какие пептиды нужны именно вам
— под какую задачу
— как сочета…
⁉️Чем отличаются БАДы от пептидов
То, чем принципиально отличаются БАДы от пептидов, я подробно разобрала в своём видео — там наглядно показано, почему без клеточного управления просто добавить вещества недостаточно ☝️
‼️Но важно: пептиды —это не волшебная таблетка, это спусковой крючок.
Их нельзя пить просто так, для здоровья. Они работают только если знать, что именно нарушено.
🚨Поэтому, друзья мои, жду вас на…
Девочки, не могу молчать!
Сейчас тестирую два пептида: один для эпифиза, второй для синтеза коллагена. И это просто огонь! 🔥
Пептид эпифиза — вообще магия. Регулирует ось яичники–мозг, помогает наладить синтез мелатонина. И сон… это небо и земля! Засыпаю быстро, сплю глубоко, просыпаюсь отдохнувшей. А коллагеновый пептид — кожа стала плотнее и сияет, как будто выспалась на год вперёд
Не реклама, просто делюсь вост…
🔥15❤1
Showing the 12 most recent of 164 posts we hold for @nataliakondakova_naturopat. 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
@nataliakondakova_naturopat edited 13 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
5 September 2026
Most recent edit
23 September 2026
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.
Понимаю, что тема этой недели деликатная, но с ней важно разобраться. Что вы пробовали для налаживания стула?Голосуйте — и заодно напишите в комментариях, что реально сработало. Спасибо за вашу честно
Слабительные 💊17%
Диеты 🍲26%
Пробиотики40%
Ничего, само пройдет наверное 🤷♀️18%
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 164 most recent posts we hold, published 4 August 2026 to 28 September 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 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.
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.
Фитооздоровление | Яна Александровна @fitoyana · 1,900#93
Read from Telegram’s recommendation API, most recently 20 August 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.
Андрей Галкин - Врач-Остеопат | Нейрокоуч @rulikamed · 44,118 Telegram ranks this channel #6 of 83 here — alongside 82 others — read 28 August 2026
Здоровье с Екатериной Новиковой @katerina_dietolog · 50,353 Telegram ranks this channel #22 of 94 here — alongside 93 others — read 25 August 2026
🌿👩⚕️ Семейный нутрициолог - Доктор Клевцова @doctor_klevtsova · 20,112 Telegram ranks this channel #30 of 87 here — alongside 86 others — read 28 September 2026
Ешьте Головой: стань стройной и энергичной с нами 👑 @doctorayupovat · 30,889 Telegram ranks this channel #30 of 74 here — alongside 73 others — read 6 September 2026
«Ресурс» Марины Жигульской @resurs_online · 42,062 Telegram ranks this channel #34 of 84 here — alongside 83 others — read 14 September 2026
Эндокринолог ❤️ Ольга Павлова 💊 Диабет @dia_dietolog_olga_pavlova · 59,247 Telegram ranks this channel #39 of 91 here — alongside 90 others — read 22 August 2026
Панасюк Николай @getfit_nutrition · 70,835 Telegram ranks this channel #39 of 96 here — alongside 95 others — read 20 August 2026
Лилия Стародубцева | Нутрициолог @lilystarfit_blog · 24,167 Telegram ranks this channel #44 of 79 here — alongside 78 others — read 16 September 2026
Школа Здоровья врача Ольги Помойнецкой @health_club_drPomoinetskaya · 22,088 Telegram ranks this channel #47 of 84 here — alongside 83 others — read 21 September 2026
Доктор Вялов @doctorvyalov · 40,455 Telegram ranks this channel #59 of 88 here — alongside 87 others — read 30 August 2026
This channel appears in 10 seed channels' Telegram-generated recommendation lists 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Про здоровье | Наталья Кондакова доктор натуропатии” (@nataliakondakova_naturopat), 68,964 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/nataliakondakova_naturopat.
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.