👩🏻🔬Доктор Елизавета Афинская
🎓Doctor of Clinical Nutrition, Master of Science in Human Nutrition (США)
❇️Более 23 000 женщин из 68 стран мира стали стройными без чувства голода и заметно очистили кожу -> drafinskaya.ru/tg
📩Для связи: [email protected]
Created
Between 1 April 2019 and 31 October 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 the other topics.
Growth
62 measurements spanning 93 days, net +606. 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 70,921–72,067 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)
Subscribers
Change
8 Nov 2026, 14:15
71,894
-9
7 Nov 2026, 08:50
71,903
-17
6 Nov 2026, 11:19
71,920
-15
5 Nov 2026, 13:09
71,935
+1
4 Nov 2026, 14:20
71,934
+153
3 Nov 2026, 12:46
71,781
+13
2 Nov 2026, 14:31
71,768
-2
1 Nov 2026, 11:40
71,770
-10
31 Oct 2026, 14:05
71,780
-43
30 Oct 2026, 11:47
71,823
-58
29 Oct 2026, 14:39
71,881
-15
28 Oct 2026, 16:54
71,896
-20
27 Oct 2026, 20:06
71,916
+2
26 Oct 2026, 19:10
71,914
+38
25 Oct 2026, 19:47
71,876
+19
24 Oct 2026, 23:15
71,857
+13
23 Oct 2026, 21:04
71,844
-1
22 Oct 2026, 23:48
71,845
+79
21 Oct 2026, 20:20
71,766
+510
20 Oct 2026, 13:55
71,256
first reading
Engagement
36 posts held, back to 22 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 190 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.7%
avg views ÷ 71,894 subscribers
Avg views / post
12,000
10 posts measured
Reaction rate
5.53%
reactions ÷ views · ER floor
Posts in window
10
of 36 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 6 November 2026
Posts held
36 (22 July 2026 – 6 November 2026)
Views total
119,950
Reactions total
6,636
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Nov 2026, 08:24 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
823
Videos
100
Links
514
Lifetime counters from Telegram’s own channel header, read 9 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
3m 07s
Average length
47s
Measured directly from 4 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
25,071 reactions across 36 posts, in 17 distinct kinds. The most used accounts for 67.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
16,890
67.4%
🔥
3,345
13.3%
👍
2,266
9.04%
🎉
1,136
4.53%
🙏
459
1.83%
❤🔥
258
1.03%
😍
207
0.826%
💘
127
0.507%
🍾
120
0.479%
👏
119
0.475%
💯
54
0.215%
🍓
46
0.183%
🥰
23
0.092%
🤓
11
0.044%
💋
5
0.02%
🤩
3
0.012%
🕊
2
0.008%
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 36 of the 36 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 25,071 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 36 most recent posts we hold, published 22 July 2026 to 6 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.
Telegram Stars
Stars received
49
across the posts below
Posts paid on
19
of 36 we hold a reading for · 53%
Most on one post
8
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @liza_afinskaia. 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 36 most recent posts we hold for this entry, published 22 July 2026 to 6 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 6 of 10 posts held from the last 30 days (60.0%) 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).
Глицин не попадает в мозг, а в еде его и так полно
Никогда бы не подумала, что мы так долго будем обсуждать глицин.
Но напишу еще раз, чтобы все точно разобрались🙌️️
Я поняла, что некоторым людям психологически комфортнее считать, что вещество либо работает, либо является пустышкой.
Гораздо сложнее принять, что одно и то же вещество может помогать в одних случаях, не помогать в других, а результат может зависеть …
Но говорят, глицин — это пустышка и эффект плацебо
В науке нужно ориентироваться не на чье-либо мнение, а на результаты научных исследований.
Глицин изучают уже несколько десятилетий, причем для самых разных целей: улучшения сна, изучения влияния на обмен веществ и воспалительные процессы и даже применения в качестве дополнительного средства.
За это время провели много клинических исследований. В одних обнаружили …
🧠Глицин для памяти и сна: работает или нет
Помните, как раньше многие пили глицин "для мозга"? Особенно перед экзаменами или сессией, чтобы лучше запоминать и меньше нервничать.
Сегодня расскажу, имеет ли это смысл.
Итак, глицин — это аминокислота, которая участвует в работе нервной системы, необходима для синтеза коллагена, креатина и глутатиона (одного из важнейших антиоксидантов организма!).
А что мы знаем об …
😳Вы всю жизнь неправильно хранили фрукты и овощи?
Благодарю всех за теплые слова)
А сегодня поделюсь полезными советами для хранения фруктов и овощей, чтобы они дольше оставались свежими.
Сохраняйте этот пост себе и отправляйте близким🔥
1️⃣️️️️️️Положите неспелые фрукты рядом с яблоком, чтобы они быстрее созрели
Дело в том, что яблоки выделяют газ этилен, из-за которого быстрее созревают:
• Бананы
• Хурма
• Кив…
Забавные (и не только) факты с нашей свадьбы
• За 10 минут до церемонии я порвала платье😂 Нервничала, что не успеваю, торопилась одеться и слишком сильно потянула за ленты платья на спине. К счастью, свадебный организатор не растерялась и успела все зашить. Я удивилась ее невозмутимости, а она сказала, что с подобными ситуациями сталкивается не впервые
• Свадебный макияж я сделала сама. Для съемок моих программ и ф…
🍫Шоколадный банановый кекс с пользой для здоровья и фигуры
Делюсь с вами моим новым фаворитом среди полезных десертов🔥️️
Как же я люблю домашние полезные десерты. Каждый раз, когда покупаю якобы полезные десерты в супермаркетах или кафе, в очередной раз убеждаюсь, что домашние гораздо вкуснее.
Этот банановый кекс содержит много клетчатки, содержит белок и полезные полифенолы. При этом минимум добавленного сахара🙌🏻…
🍊Неожиданные источники витаминов, минералов и клетчатки
Всем привет! Книгу о коллагене закончила, скоро порадую вас🔥️️️️️️
А вчера мне прислали 258 фотографий с нашей свадебной церемонии) Тоже скоро покажу. До этого я показывала вам только фото с телефона
Сегодня делюсь с вами подборкой продуктов, которые неожиданно богаты витаминами, минералами и клетчаткой. Все значения для продуктов указала на 100 г, а для напи…
Вредные привычки для фигуры
Всем привет! Подборку популярных постов смотрите по этой ссылке
А сегодня подготовила для вас список вредных привычек для фигуры🔥️️️️️️ В скобках поставила ссылки на научные исследования.
• Постоянно не высыпаетесь. Недосып может усиливать чувство голода и повышать аппетит. Если не высыпаться, то вы будете чувствовать себя более голодной, поэтому будете больше есть (Soltanieh et al., 20…
Какие продукты чаще есть для красоты кожи✨
Чтобы вы понимали, насколько я люблю анализировать научные исследования, сегодня я села за анализ данных о коллагене в 7:30 утра 😄 Уже который день с трудом отрываюсь от работы в 21:00. Я обожаю анализировать исследования. Книга о коллагене вам понравится, уже почти закончила!
Итак, когда речь заходит о молодости кожи, то сразу вспоминают добавки, дорогие кремы и процедуры…
Яблоки полезны для сердца, фигуры и кишечник🍎
Ох, я провалилась в дебри научных исследований о коллагене! Скоро доделаю для вас книгу о коллагене для красоты кожи. Анализирую много данных, делаю сравнения, которые пока не встречала в научных публикациях. И стараюсь все объяснять простым языком🔥️️️️️️
Итак, осень. Самое время поговорить о яблоках)
Это привычный фрукт, который, я считаю, незаслуженно не пользуется т…
Насколько важно есть сезонные продукты?🍎
Всем привет! Занимаюсь созданием для вас книги о коллагене для красоты кожи🔥️️️️️️
А сегодня хочу поднять тему о сезонных продуктах.
🌿Почему я люблю чаще включать в питание сезонные продукты:
• Более яркий вкус
• Доступность
• Повод разнообразить питание
Но есть только сезонные продукты я не рекомендую.
🔻У такого подхода я вижу важные минусы:
1️⃣Вы можете начать есть ещ…
Можно ли фрукты вечером?
В видео рассказываю, правда ли, что фрукты вечером «откладываются в жир», и что делать, если после них появляется вздутие.
Отдельно у меня есть рекомендации, которые помогут есть фрукты без вздутия и дискомфорта в моем материале по этой ссылке
Если остались вопросы о фруктах, то пишите ниже🙌
❤356👍136🙏23🔥11😍5❤🔥4
Showing the 12 most recent of 36 posts we hold for @liza_afinskaia. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Posts edited after publishing
@liza_afinskaia edited 5 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
25 August 2026
Most recent edit
4 November 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 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.
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.
Доктор Амина @dr_amina_pirmanova · 129,973 Telegram ranks this channel #1 of 87 here — alongside 86 others — read 13 August 2026
Revitonica @revitonica_ru · 262,133 Telegram ranks this channel #21 of 83 here — alongside 82 others — read 10 August 2026
Гастроэнтеролог & Терапевт @doctor_sitkina · 42,049 Telegram ranks this channel #45 of 96 here — alongside 95 others — read 29 August 2026
НАПРАВЛЕНИЯ @dmitry_lukyanchuk · 123,792 Telegram ranks this channel #45 of 82 here — alongside 81 others — read 14 August 2026
ДОКТОРБЛОГЕР @doctorbloger_live · 38,427 Telegram ranks this channel #47 of 72 here — alongside 71 others — read 1 September 2026
Виктория Кушнарёва @ViktoriyaKushnareva · 23,096 Telegram ranks this channel #48 of 88 here — alongside 87 others — read 18 September 2026
morskaya_pipiska @morskaya_pipiska · 35,124 Telegram ranks this channel #48 of 71 here — alongside 70 others — read 2 September 2026
Марина Кострова @marina_kostrova · 86,271 Telegram ranks this channel #83 of 94 here — alongside 93 others — read 18 August 2026
This channel appears in 8 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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“Доктор Афинская” (@liza_afinskaia), 71,894 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/liza_afinskaia.
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.