👩⚕️ Татьяна Владимировна Плесовских
Врач восстановительной медицины, фитотерапевт. Стаж 35 лет.
🌿 Натуральные методы лечения
🙌 Комплексный подход к здоровью
🚑 Скорая помощь для Вас и Ваших близких
📌 Все соцсети и программы:
https://taplink.cc/drpless
Created
Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 42% 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 49 days, net +400. 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 23,250–23,770 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
25 Sept 2026, 07:41
23,710
+136
17 Sept 2026, 04:58
23,574
+105
15 Sept 2026, 01:59
23,469
+12
13 Sept 2026, 12:00
23,457
+21
11 Sept 2026, 16:18
23,436
+28
9 Sept 2026, 00:59
23,408
+32
5 Sept 2026, 17:40
23,376
+9
3 Sept 2026, 15:21
23,367
-10
2 Sept 2026, 04:49
23,377
+2
1 Sept 2026, 02:18
23,375
-4
31 Aug 2026, 01:38
23,379
+4
30 Aug 2026, 03:05
23,375
-3
28 Aug 2026, 23:37
23,378
-1
28 Aug 2026, 02:33
23,379
-2
27 Aug 2026, 02:53
23,381
-4
26 Aug 2026, 05:38
23,385
-1
25 Aug 2026, 06:54
23,386
-5
24 Aug 2026, 09:32
23,391
+18
22 Aug 2026, 19:24
23,373
+5
21 Aug 2026, 13:08
23,368
first reading
Engagement
69 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 69 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.96%
avg views ÷ 23,710 subscribers
Avg views / post
1,650
19 posts measured
Reaction rate
2.46%
reactions ÷ views · ER floor
Posts in window
19
of 69 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 2 October 2026
Posts held
69 (3 August 2026 – 2 October 2026)
Views total
31,366
Reactions total
771
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Oct 2026, 20:27 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
≈1,940
Videos
≈360
Links
≈1,090
Lifetime counters from Telegram’s own channel header, read 2 October 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 37m
Average length
9m 47s
Measured directly from 10 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
2,753 reactions across 69 posts, in 20 distinct kinds. The most used accounts for 75.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,067
75.1%
🙏
277
10.1%
👍
189
6.87%
🔥
87
3.16%
🕊
56
2.03%
🥰
51
1.85%
❤🔥
6
0.218%
🤯
3
0.109%
🎅
2
0.073%
👏
2
0.073%
💯
2
0.073%
😴
2
0.073%
🤪
2
0.073%
🍓
1
0.036%
💅
1
0.036%
😎
1
0.036%
🤗
1
0.036%
🤣
1
0.036%
🤩
1
0.036%
🥱
1
0.036%
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 69 of the 69 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 2,753 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 69 most recent posts we hold, published 3 August 2026 to 2 October 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
1
across the posts below
Posts paid on
1
of 69 we hold a reading for · 1%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @lavkalekary. 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 69 most recent posts we hold for this entry, published 3 August 2026 to 2 October 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.
🌿 ОКТЯБРЬ - ПОСЛЕДНИЙ БОЛЬШОЙ СБОР ТРАВ! ЧТО ЗАГОТАВЛИВАТЬ?
🍁Вот и наступил октябрь - время в последний раз пройтись по нашим заветным местам с корзиной и собрать то, что природа оставила нам перед зимой.
Дорогие мои🕊️, часто на приемах от пациентов, я слышу подобное: «Травы закончились, холодно - сезон закрыт». А я Вам скажу: А вот и нет! Октябрь - особенный месяц! Собираем последние травы, семена, ягоды, грибы, …
🎯 СЕГОДНЯ, 1 ОКТЯБРЯ, МЫ НАЧИНАЕМ ПРОТИВОВИРУСНЫЙ МАРАФОН!
Дорогие мои🕊️, сегодня стартуем! 🌿
Впереди сезон простуд, вирусов и ОРВИ. И я хочу, чтобы в этот период у вас был не страх и растерянность, а понимание: что делать заранее, как действовать при первых симптомах и как помочь организму восстановиться после болезни.
Сегодня уже выходят первые уроки, дальше их будет больше. Все будет выходить постепенно.
Именн…
🌿 МАЛИНА от ПРОСТУДЫ! ЭТО МОЖЕТ БЫТЬ ОПАСНО!
Здравствуйте, дорогие мои! 🕊️Наступает холодное время года, время простуд и вирусов. Конечно, заболеют не все, и слава Богу. Но если у человека поднялась температура, что он делает первым делом?
🌿Вспоминает малину. У нас ведь как повелось: температура, значит, чай с малиной, укрыться потеплее и пропотеть. Я представляю, как вы сейчас со мной начнёте спорить! Нас так учил…
🌿 БЕСКОНЕЧНАЯ ПРОСТУДА: КАК ВЫБРАТЬСЯ ИЗ «ИММУНОЛОГИЧЕСКОЙ ЯМЫ»?
Дорогие мои🕊️, наверняка многим родителям знакома эта картина.
Ребёнок пошёл в садик или школу - принёс инфекцию домой. Сначала заболел он, через несколько дней мама, следом папа, потом бабушка. Только один начинает поправляться - заболевает другой.
❗️А самое неприятное - Вы ещё толком не восстановились, а ребёнок снова приходит с насморком, болью в …
Дорогие мои, здравствуйте! 🍂
🍅У нас на Урале этот сентябрь выдался удивительно тёплым, такого солнышка да ясного неба в сентябре давненько не было!
☀️ Все дни на огороде проводили: кто морковку да свёколку выкапывал, кто грядки прибирал, кто укрывал.
Нужно было все укрыть, все в зиму посадить, все благословить, потому что тепла уже не будет.
И нужно будет уже готовиться к зиме, слякоти, простудам и запасаться пол…
🌿 ЛУЧШЕЕ МАСЛО В СЕЗОН ОРВИ И ПРОСТУД - МАСЛО ТОПОЛИНО - ОСИНОВОЕ
Дорогие мои🕊️, в сезон простуд я всегда стараюсь смотреть на организм комплексно. Не только на температуру или насморк, а на слизистые, дыхательные пути, общее самочувствие, сон и восстановление.
И одно из натуральных средств, которое мне нравится использовать в комплексном подходе, - Тополино-Осиновое масло. 🌿
В его составе - масляные экстракты оси…
🕊️ 27 сентября - великий православный праздник, Воздвижение Креста Господня!
Дорогие мои 🕊️, это день глубокой нашей молитвы, горячего прошения к Богу. О наших детках, о внуках, о семье, о мире во всём мире. Обо всём, что у нас на сердце.
Найдите сегодня время побыть в тишине, уединиться, обратиться к Господу. Среди наших забот, среди дел - остановиться и помолиться. 🙏
Дорогие женщины, мамы, бабушки, молитесь за с…
🌿 10 МИФОВ ОБ ОРВИ, ВИРУСАХ И ПРОСТУДАХ, В КОТОРЫЕ ДО СИХ ПОР ВЕРЯТ
Давайте сегодня разберём 10 самых распространённых мифов.
Дорогие мои🕊️, как врач, который уже 35 лет лечит пациентов в сезон ОРВИ и простуд, я буквально каждый день слышу на приёмах одни и те же заблуждения.
И самое неприятное - из-за этих мифов люди часто начинают лечиться неправильно: принимают ненужные препараты, пропускают действительно важны…
🍂 КАК ВЫ ДУМАЕТЕ ТАК ДОЛЖНА ВЫГЛЯДЕТЬ ПОДГОТОВКА К СЕЗОНУ ПРОСТУД?
🕊️ Хочу сегодня рассказать Вам одну историю из недавнего приёма.
👩⚕️ Ко мне пришла пациентка, и ещё до нашей консультации она зашла в обычную аптеку и просто сказала:
«Соберите мне, пожалуйста, что-нибудь от простуды - на всякий случай».
В результате ей собрали целый набор: противовирусные средства, препараты от температуры, сосудосуживающие капли…
🌿 🎥 ПРИВИВКА ПРОТИВ ГРИППА: РАЗБИРАЕМ ТЕМУ ПОДРОБНО
Дорогие друзья, по вашим многочисленным просьбам - видео о прививках против гриппа.
Давайте поговорим об этом серьёзно, подробно, детально. Потому что у нас с вами и дети, и пожилые родители, и люди с хроническими заболеваниями. И хочется понимать, как позаботиться о себе и своих близких в осенне-зимний период.
Более 30 лет я работаю с людьми с различными хрониче…
Дорогие мои🕊️, я внимательно читаю ваши комментарии под опросом о прививке против гриппа.
💬 Вижу, что мнения разделились: кто-то делает прививку себе и детям, а кто-то не делает и категорически против.
По вашим многочисленным просьбам я записала видео на эту тему.
🎥 Более 30 лет я работаю с людьми, у которых есть хронические заболевания, и знаю, как много вопросов возникает перед решением о прививке.
Особенно ког…
Showing the 12 most recent of 69 posts we hold for @lavkalekary. 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
@lavkalekary edited 1 post 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
28 September 2026
Most recent edit
28 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 2 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.
Read from Telegram’s recommendation API, most recently 18 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.
Доктор Шагарова @drshagarova · 105,432 Telegram ranks this channel #33 of 77 here — alongside 76 others — read 18 September 2026
🌿Евгений Козлов | Здоровье| Биохакинг @altmedicina · 26,183 Telegram ranks this channel #69 of 90 here — alongside 89 others — read 13 September 2026
This channel appears in 2 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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Лавка Лекаря” (@lavkalekary), 23,710 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/lavkalekary.
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.