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 10 September 2026 and assigned it the closest of 31 fixed categories, at 83% 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
58 measurements spanning 87 days, net +6,876. 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 17,456–27,536 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)
Subscribers
Change
2 Nov 2026, 08:45
25,495
-547
1 Nov 2026, 10:58
26,042
-331
31 Oct 2026, 11:47
26,373
+988
30 Oct 2026, 14:59
25,385
+5
29 Oct 2026, 14:48
25,380
-10
28 Oct 2026, 15:18
25,390
-18
27 Oct 2026, 14:49
25,408
-2
26 Oct 2026, 12:16
25,410
-13
25 Oct 2026, 13:48
25,423
-3
24 Oct 2026, 16:16
25,426
-24
23 Oct 2026, 15:15
25,450
-32
22 Oct 2026, 14:36
25,482
-24
21 Oct 2026, 08:44
25,506
+15
20 Oct 2026, 06:45
25,491
-284
19 Oct 2026, 09:39
25,775
-95
18 Oct 2026, 10:56
25,870
-78
17 Oct 2026, 12:56
25,948
-95
16 Oct 2026, 14:06
26,043
-192
15 Oct 2026, 14:20
26,235
+789
14 Oct 2026, 13:40
25,446
first reading
Engagement
97 posts held, back to 27 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 120 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
2.23%
avg views ÷ 25,495 subscribers
Avg views / post
569
34 posts measured
Reaction rate
6.58%
reactions ÷ views · ER floor
Posts in window
35
of 97 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 1 November 2026
Posts held
97 (27 July 2026 – 1 November 2026)
Views total
19,329
Reactions total
1,271
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Nov 2026, 06:40 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
Video runtime
23m 18s
Average length
1m 07s
Measured directly from 21 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
3,724 reactions across 93 posts, in 4 distinct kinds. The most used accounts for 37.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
1,377
37.0%
❤🔥
1,342
36.0%
💯
579
15.5%
😁
426
11.4%
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 93 of the 97 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 3,724 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 97 most recent posts we hold, published 27 July 2026 to 1 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
2
across the posts below
Posts paid on
1
of 93 we hold a reading for · 1%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @evalar_official. 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 97 most recent posts we hold for this entry, published 27 July 2026 to 1 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.
Advertising
Ad load
18.6%
18 of 97 posts carry an ad marker
Regulatory tokens
18
posts carrying an erid · 18 distinct tokens
Median views · ads
589
over 18 measured posts
Median views · rest
592
over 75 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2VSb5wKfNQA
1
20 October 2026
20 October 2026
2VSb5wouA9p
1
24 September 2026
24 September 2026
2VSb5xBm8Ev
1
30 July 2026
30 July 2026
2VSb5xBwDq4
1
14 October 2026
14 October 2026
2VSb5xLWzNe
1
29 July 2026
29 July 2026
2VSb5xLmS5g
1
2 August 2026
2 August 2026
2VSb5xSpTEa
1
29 September 2026
29 September 2026
2VSb5xbjPkW
1
23 October 2026
23 October 2026
2VSb5xivDYN
1
31 August 2026
31 August 2026
2VSb5xkBnca
1
6 October 2026
6 October 2026
2VSb5xsin8r
1
7 October 2026
7 October 2026
2VSb5xsvrdp
1
14 August 2026
14 August 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it. 6 further tokens are held for this entry and not listed here.
Measured over the 97 most recent posts we hold, published 27 July 2026 to 1 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
🍂 Ну что, официально вступаем в последний месяц осени!
Впереди ещё 30 дней, чтобы успеть насладиться осенним уютом: достать любимый шарф, согреваться горячими напитками, пересмотреть любимые фильмы и немного замедлиться перед предновогодней суетой.
А мы уже собрали свою подборку осенних must-have — всё, что нужно для уютного настроения и заботы о себе 💚
А вы любите ноябрь или уже считаете дни до зимы?
5 ДОБАВОК, о которых стоит вспомнить в сезон простуд
С наступлением холодов особенно важно уделять внимание рациону и поступлению питательных веществ, необходимых для нормальной работы иммунной системы.
На какие компоненты стоит обратить внимание?
🍂 Витамин D — участвует в регуляции иммунного ответа и поддерживает работу клеток иммунной системы.
🍂 Витамин C — способствует нормальной работе иммунных клеток и помог…
Это может спасти вашу жизнь!
29 октября — Всемирный день борьбы с инсультом
Инсульт может произойти внезапно, и в такой момент важно не растеряться. Знание простого алгоритма действий поможет быстрее сориентироваться и не потерять драгоценное время.
В карточках собрали памятку, которую стоит знать каждому.
Сохраните и отправьте близким — возможно, однажды эти знания окажутся жизненно важными. 🩷
Фитоэстрогены: что это и зачем они нужны женщинам? 🌿
С возрастом гормональный фон женщины меняется. Особенно заметно это в период менопаузы, когда снижение уровня эстрогенов может сопровождаться приливами жара, ночной потливостью, нарушениями сна и перепадами настроения.
В этом контексте часто говорят о фитоэстрогенах — растительных соединениях, способных взаимодействовать с эстрогеновыми рецепторами. Однако не все…
10 000 шагов больше не обязательны? У нас хорошие новости! ✨
Если вы каждый вечер наматываете круги по квартире, чтобы закрыть норму шагов, кажется, пора пересмотреть эту привычку.
Листайте карточки, чтобы узнать, сколько шагов действительно нужно для пользы здоровью и почему важно заботиться не только об активности, но и о суставах. 💜
♥️В этом поможет комплексный подход: регулярное движение и дополнительная подде…
🌿 Более 2 тонн мусора вывезли с горы Белуха при поддержке «Эвалар»!
Компания «Эвалар» и экологическое движение «Мусорная лавина» вновь объединили усилия, чтобы сохранить природную красоту Алтая.
🏔 За неделю волонтеры собрали 2100 кг отходов на популярных туристических маршрутах у горы Белуха, в долине Ярлу и у Аккемского озера. Из-за труднодоступности местности мусор пришлось вывозить вертолетом Ми-8.
За шесть лет…
Куда пропало либидо и почему дело может быть вовсе не в партнёре? ❤️🩹
Снижение сексуального желания не всегда связано с отношениями. На либидо могут влиять состояние здоровья, гормональные изменения и другие факторы.
Разбираемся вместе с экспертом «Эвалар» — Оксаной Мешковой, акушером-гинекологом и гинекологом-эндокринологом.
Ставь ❤️, если было полезно!
ДГК И ЭПК: ЧЕМ ОТЛИЧАЮТСЯ ДВЕ КЛЮЧЕВЫЕ ОМЕГА-3? 🐟
На упаковках Омега-3 часто встречаются две аббревиатуры — ДГК и ЭПК. Это две полиненасыщенные жирные кислоты, которые выполняют в организме разные, но взаимодополняющие функции.
Раскрываем особенности каждой кислоты и разбираемся, какую роль ДГК и ЭПК играют в организме. Подробности — в карточках ♥️
Почему мы берём телефон в руки, даже когда там ничего нет? 📱
Открываем экран, проверяем уведомления, листаем ленту — порой даже не замечая, как тянемся к телефону.
Разбираемся вместе с экспертом «Эвалар» — Михаилом Пешковым, врачом-неврологом, почему проверка телефона становится автоматическим поведением.
Ставь ❤️, если было полезно!
Красивые волосы — результат ежедневных привычек. 💗
Как защитить длину от ломкости, какие продукты включить в рацион и почему важно заботиться о коже головы? Собрали 6 простых советов в карточках.
А дополнить уход можно таблетками «Эксперт волос» Эвалар — комплексом с кератином, биотином, цинком, медью и аминокислотами для здоровья и красоты волос.
Подробнее — на сайте Эвалар.
Щитовидка или перименопауза: почему симптомы так легко перепутать? 🩺
Усталость, перепады настроения и нарушения сна могут сопровождать разные состояния.
Как понять, с чем связаны изменения в самочувствии?
Разбираемся вместе с экспертом «Эвалар» — Оксаной Мешковой, акушером-гинекологом и гинекологом-эндокринологом.
Ставь ❤️, если было полезно!
🏆 Evalar Cosmetics — инновационная разработка года!
Линейка сывороток Evalar Cosmetics стала победителем премии «Лучшее для красоты» (Best for Beauty) в номинации «Инновационная разработка года»
Эксперты высоко оценили инновационность, безопасность, эффективность и качество продукции.
Анна Черулева, руководитель группы брендов «Эвалар»:
«Мы системно работаем над тем, чтобы сочетать передовые научные решения с пра…
👍18❤🔥15💯3
Showing the 12 most recent of 97 posts we hold for @evalar_official. 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
@evalar_official edited 6 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
8 August 2026
Most recent edit
21 October 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.
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 2 November 2026 — this
entry's latest reading, not the date you are reading this.
“evalar_official” (@evalar_official), 25,495 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/evalar_official.
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.