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 21 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
6 measurements spanning 38 days, net -7. 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 457–466 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Sept 2026, 07:58
458
-2
7 Sept 2026, 00:20
460
-2
22 Aug 2026, 07:36
462
-1
14 Aug 2026, 13:28
463
-2
8 Aug 2026, 04:47
465
no change
7 Aug 2026, 12:08
465
first reading
Engagement
8 posts held, back to 10 June 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 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 8 posts for this entry, the most recent from 6 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 55s
Average length
58s
Measured directly from 2 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
49 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 81.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
40
81.6%
🔥
7
14.3%
👍
2
4.08%
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 6 of the 8 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 49 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 10 June 2026 to 6 July 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.
От чего у тела появляется неприятный запах?
Это статья не только про "запах старости". Если есть запах изо рта, пот, стул стали пахнуть неприятнее, вам тоже будет интересно👇
Избыток сахара и переработанной еды
Когда в рационе много сладкого, выпечки, фастфуда, колбас, снеков и алкоголя, организм вынужден "справляться" с такой едой, это большая нагрузка на него. Кожа - это орган выделения, и она выделяет токсины из …
АНТИДЕПРЕССАНТЫ пьете?
Ко мне все чаще приходят клиенты "на антидепрессантах". Причем их все чаще назначают тогда, когда симптомы связаны не с депрессией: при изжоге, отрыжке, проблемах со сном.
А они вовсе не так безобидны, как вы думаете.
Нашла для вас бесплатный мини-курс "Нейрохакинг для здорового образа жизни".
Узнаете, что такое дофамин и как работать с депрессией. А также, как предотвратить деменцию, котор…
Возрастной запах тела - что делать?
Каюсь, раньше, когда я чувствовала этот тяжелый, кислый "запах старости", думала, что это из-за того, что пожилым людям сложно мыться🫣
А вы?
На самом деле, гигиена здесь ни при чем.
Один из факторов, с которым связывают так называемый возрастной запах - вещество 2-ноненаль. Оно может образовываться активнее уже после 40-50 лет из-за изменений в работе сальных желез и процессов …
Какие сладости ест нутрициолог?
Клубника в шоколаде
Батончики без сахара
Мармеладки
Леденцы, полезные для зубов
Пастила на палочке
Если хотите еще такие подборки, ставьте реакции💚
@telo_po_lubvi
Почему так часты откаты после консультаций, марафонов и диет?
Статистика беспощадна: вы знаете, что только 40% людей на диетах удается снизить вес, а успешно удерживают полученный результат лишь 12%?
И касается это не только диет, но и вообще всех новых привычек.
Причина не в отсутствии силы воли.
Гораздо чаще вы получаете слишком много информации и просто не успеваете внедрить ее в жизнь.
За годы работы я понял…
Обо мне, мое образование, с чем я работаю, услуги - в карточках♥️
Зачем нужен нутрициолог?
Всегда хочется получить "волшебную таблетку", но здоровье - это система.
И часто мы получаем лечение симптомов вместо поиска причины.
• Лишний вес - вот уколы для снижения.
• Низкий ферритин - пожалуйста,
капельница или таблетки.
• Эндометриоз или миома - КОК
или операция.
• Повышен холестерин - уберите жирное
или статины.
•…
❤8
Showing the 8 most recent of 8 posts we hold for @telo_po_lubvi. 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.
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.
Shares as published, totalling 99%. 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 8 most recent posts we hold, published 10 June 2026 to 6 July 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.
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 14 September 2026 — this
entry's latest reading, not the date you are reading this.
“Надежда Шутенко | Нутрициолог” (@telo_po_lubvi), 458 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/telo_po_lubvi.
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.