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СЪЕДОБНЫЙ НАУЧПОП

@e_semika

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

45,548subscribers

-516 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001515227707
TypeChannel
Username@e_semika
DescriptionО еде без мракобесия Семиколенных Елена, химик-биолог Автор книги "Еда без мракобесия" Мах: max.ru/e_semika Сотрудничество/реклама: @nauchpop_pr В перечне РКН: https://clck.ru/3EdNLn ИП Семиколенных Елена Владимировна ИНН: 280406425480
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live9 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/e_semika

Topic

Health & wellness — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 94% 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

45,54846,11945,833.57 August 20269 November 2026
64 measurements spanning 94 days, net -516. 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 45,462–46,205 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
9 Nov 2026, 16:2045,548-11
8 Nov 2026, 06:4145,559-10
7 Nov 2026, 01:4645,569-3
6 Nov 2026, 04:0145,572-6
5 Nov 2026, 01:0545,578-15
3 Nov 2026, 22:4045,593-16
2 Nov 2026, 23:5645,609-14
1 Nov 2026, 20:5545,623-13
31 Oct 2026, 21:3545,636-17
30 Oct 2026, 23:3745,653-24
30 Oct 2026, 03:1145,677-10
29 Oct 2026, 03:1745,687-15
27 Oct 2026, 23:4045,702-15
26 Oct 2026, 23:2045,717-15
26 Oct 2026, 01:4745,732-9
25 Oct 2026, 03:3545,741-20
24 Oct 2026, 04:1545,761-9
23 Oct 2026, 00:4845,770-3
21 Oct 2026, 21:2145,773-12
20 Oct 2026, 13:2745,785first reading

Engagement

128 posts held, back to 24 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 192 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.57%
avg views ÷ 45,548 subscribers
Avg views / post
3,900
40 posts measured
Reaction rate
4.07%
reactions ÷ views · ER floor
Posts in window
40
of 128 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
WindowRolling 30 days · latest post in window 10 November 2026
Posts held128 (24 July 2026 – 10 November 2026)
Views total156,130
Reactions total6,349
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 00:54 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
≈2,930
Videos
≈503
Links
≈1,370

Lifetime counters from Telegram’s own channel header, read 11 November 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
1m 49s
Average length
22s

Measured directly from 5 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

22,413 reactions across 127 posts, in 30 distinct kinds. The most used accounts for 39.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤8,84939.5%
👍7,70934.4%
🔥3,81217.0%
😁5002.23%
🤣3061.37%
💯2651.18%
👾2341.04%
😈1180.526%
😱980.437%
😐780.348%
✍730.326%
🤔730.326%
😨460.205%
🤝460.205%
🥰430.192%
👏290.129%
🤯250.112%
👀220.098%
👻200.089%
🌚160.071%
10 further kinds510.228%

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 127 of the 128 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 22,413 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 128 most recent posts we hold, published 24 July 2026 to 10 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
5
across the posts below
Posts paid on
1
of 127 we hold a reading for · 0.8%
Most on one post
5
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @e_semika. 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 128 most recent posts we hold for this entry, published 24 July 2026 to 10 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
3.13%
4 of 128 posts carry an ad marker
Regulatory tokens
4
posts carrying an erid · 4 distinct tokens
Median views · ads
4,670
over 4 measured posts
Median views · rest
5,200
over 123 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. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VSb5wGCB6J126 October 202626 October 2026
2VSb5wPcT4N130 October 202630 October 2026
2VSb5ycYL6n118 August 202618 August 2026
2VSb5yk6g1G116 September 202616 September 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.

Measured over the 128 most recent posts we hold, published 24 July 2026 to 10 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.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 40 posts held from the last 30 days (5.00%) 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).

10 Nov 2026, 10:25 UTC≈1,690 views125 reactionsread 11 November 2026
Photo

Рафинированное масло — из бензина? 🫣 Спрашивали про рафинацию масла — рассказываю. 😎 «Жижа из бензина», «жуткий яд»… Каких только эпитетов не достаётся рафинированному подсолнечному маслу. Хотя рафинируют и оливковое, и рапсовое, и кукурузное... Для извлечения масла действительно могут использовать растворитель — отсюда и страшилки. Но не так страшен сей процесс, как о нем толкуют)) Сначала масло нужно достать О…

👍78❤27🔥16😱4

4 Nov 2026, 14:20 UTC≈4,270 views202 reactionsread 11 November 2026
Photo

Творожный омлет #рецепт Читательница рассказала: у неё омлет с творогом после приготовления превращается в тонкую лепёшку. В гостях она продиктовала хозяйке свой рецепт, а та подала высокий, пышный омлет. Хозяйка объяснила, что дело в сковородке. Размер посуды действительно может многое изменить. В широкой форме смесь растекается тонким слоем, в небольшой слой получается толще. А дальше важно не передержать омлет, …

❤115👍56🔥28🥰2🙏1

4 Nov 2026, 10:57 UTC≈4,000 views150 reactionsread 11 November 2026

Топлёное масло и гхи: что с холестерином? В комментариях спрашивают: правда ли, что топлёное масло опасно из-за высокой концентрации холестерина? И гхи — это какое-то особенное масло? Гхи — традиционный индийский вариант топлёного масла. При его приготовлении удаляют почти всю воду и большую часть молочных белков и лактозы. Молочным частицам дают подрумяниться, а затем их отфильтровывают, так появляется характерный…

👍87❤41🔥22

3 Nov 2026, 14:16 UTC≈3,950 views313 reactionsread 11 November 2026

А рецепт пышного творожного омлета надоть? 😁

👍151💯125🔥16❤15😁6

3 Nov 2026, 14:16 UTC≈3,840 views120 reactionsread 11 November 2026

Рецепт быстрый. Почему я после него так устала? В комментариях читательница рассказала, как купила меню с обещанием проводить на кухне не больше получаса в день. А получалось час-полтора. И отдельно добавила: «Так потом же ещё и всё помыть надо: и посуду, и плиту!» Приготовить одно блюдо за полчаса и провести на кухне всего полчаса за день — абсолютно разные вещи)) И обящая второе, часто подготовку и уборку не учи…

👍64❤41🔥15

3 Nov 2026, 14:15 UTC≈3,080 views159 reactionsread 11 November 2026

Ненавижу готовить! Но приходится 🤷‍♀️ Купила как-то несколько меню на месяц с названием "Торопыжка". Автор обещала , что по этим рецептам на кухне я буду торчать не более получаса в день! Неправда!!! Вот это бесит! Ни разу! За 30 мин! Не получилось! Вот это бесит! Час-полтора уходит! Так потом же ещё и всё помыть надо: и посуду, и плиту! В общем, не моё это - кухня.... 🤨 А! И ещё вспомнила 🤣! Вот эта фраза "лук пож…

😁123❤21🔥15

3 Nov 2026, 10:39 UTC≈3,340 views133 reactionsread 11 November 2026

Растопила сливочное масло, а оно разделилось на две части. Это нормально? Да, при растапливании такое бывает. Сливочное масло — это ведь не чистый жир: в нём есть вода, немного белков, молочного сахара и минеральных веществ. Вода распределена в жире мельчайшими капельками. Получается эмульсия «вода в жире», а удерживать эту конструкцию помогает сетка из кристаллов жира. Когда мы нагреваем масло, кристаллы плавятся,…

👍79❤32🔥22

3 Nov 2026, 10:39 UTC≈2,840 views18 reactionsread 11 November 2026
Photo

Photo, posted without a caption

❤18

3 Nov 2026, 10:39 UTC≈2,910 views28 reactionsread 11 November 2026

Добрый день! Подскажите, пожалуйста, растопила сливочное масло и оно разделилось на 2 фракции. Это нормально?

❤28

2 Nov 2026, 14:39 UTC≈3,200 views240 reactionsread 11 November 2026
Photo

Я рассказывала, что уже 15 лет поддерживаю свой вес и при этом вкусно ем. За эти годы у меня сложилась своя система питания и готовки, в которой одинаково важны состав еды, вкус и удобство. Каждый день ведь нужно решить, чем накормить себя и семью. Желательно из продуктов, которые уже есть, с учётом вкусов домашних и сил на сегодняшний вечер. А если хочется снизить вес, возникает ещё одна задача: как изменить свою е…

🔥194👍23❤20🤣3

2 Nov 2026, 14:37 UTC≈2,780 views69 reactionsread 11 November 2026
Photo

А ваши гиды можно купить, если я не в клубе? Меня часто об этом спрашивают. Для своего закрытого клуба «Еда без мракобесия | Практика» я делаю подробные гиды по питанию и кухне. Мне хочется, чтобы после чтения можно было разобраться со своей едой, выбрать сковороду или понять, нужна ли вам добавка и что написано на её упаковке. Часть гидов уже вышла в клубе, остальные сейчас еще готовлю. Вот какие темы в них разби…

❤38👍19🔥8💊2😁2

2 Nov 2026, 14:08 UTC≈2,750 views132 reactionsread 11 November 2026

«В твороге много холестерина, поэтому даже обезжиренного можно не больше 100–150 г в сутки?» В обезжиренном твороге холестерина мало, да и вообще пищевой холестерин давно «амнистировали»)) Для большинства людей нет необходимости высчитывать его миллиграммы в каждом продукте. Для здоровья сердца важнее весь рацион: какие жиры мы едим, хватает ли овощей, бобовых и цельнозерновых продуктов. Если повышен ЛПНП — тот сам…

❤75🔥32👍25

Showing the 12 most recent of 128 posts we hold for @e_semika. 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

@e_semika 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 6 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.

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.

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#52
Смотровая Военврача
@dr_voenvrach · 45,377
#53
Сначала крем, потом поем
@snachalakrem · 21,869
#54
Гастро FM | Софья Бакаева
@bakaevadoc · 9,126
#55
Доктор Жесткова|Косметология
@drzhestkova · 2,607
#56
Сотникова пишет
@elenasotnikovaletters · 20,388
#57
С пустой тарелкой
@eat_harmomy · 7,874
#58
Шура, выручай!
@shura_help · 34,563
#59
Доктор Коуч Варвара Веретюк
@doctor_veretyuk · 8,522
#60
АННА И ПСИХОЛОГИЯ
@neiropsy_manna · 4,741
#61
Барышня шутить изволит
@baryshnya_shutit · 44,702
#62
Doctor_Vailova | Юлия Вайлова | Врач, дерматолог, косметолог, уход за кожей, онкология
@drVailova · 9,774
#63
Страшная химия
@chemistrybyolga · 33,687
#64
РеФорма | Психология, питание и работа с весом
@reforma_life · 3,886
#65
Breaking Bread
@dushnilabezmichelina · 39,146
#66
Завтрак с Килиной
@zavtrak_s_Kilinoy · 62,065
#67
Джейн он Эйр
@thejaneonair · 6,195
#68
Ненудный нюд
@makeup_stories · 26,731
#69
Дерматология Быканова
@dr_bykanov · 62,229
#70
Принцесса Verandot
@princessaverandot · 54,307
#71
контент 40+
@content40plus · 7,286
#72
мерзкие женщины
@merzkiej · 32,348
#73
MARIANNA
@bymarianna · 69,121
#74
DocDeti & DocMed
@docdeti_docmed · 62,924
#75
ЗОЖигалочка💚
@NutritionByRita · 2,135
#76
the girl who
@girl_who · 81,314
#77
Дневник доктора Белолипецкой
@dr_belolipetskaia · 44,186
#78
BLACK MORION
@blackmorion · 28,508
#79
Раньше всех. Ну почти.
@bbbreaking · 1,975,436
#80
Стрелец-Молодец
@strelets_molodec · 348,852
#81
Лука Ебков
@luka_ebkov · 429,055
#82
Антиглянец
@sncmag · 299,576
#83
Максимально наша
@maximalno_nasha · 25,456
#84
НЕПРОЗАМУЖ
@mortalbeauty · 46,394
#85
Не последние люди в городе
@neposlednielyudi · 57,235
#86
don't touch my face
@donttouchmyface · 54,725
#87
По составу тут
@juliyasot · 18,460
#88
Косметический маньяк
@cosmetman_com · 27,008
#89
Катины секреты
@no_drama_plz · 37,651
#90
нателеграмил(а)
@vamvtg · 15,366
#91
Юра, не волнуйся!
@uravseok · 15,506
#92

Read from Telegram’s recommendation API, most recently 27 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.

Гастроэнтеролог & Терапевт
@doctor_sitkina · 42,032
Telegram ranks this channel #2 of 96 here — alongside 95 others — read 29 August 2026
Доктор Афинская
@liza_afinskaia · 71,873
Telegram ranks this channel #7 of 89 here — alongside 88 others — read 20 August 2026
ЛЕНИВЫЙ КУЛИНАР @leniviy_kulinar
@kulinar_leniviy · 123,140
Telegram ranks this channel #13 of 82 here — alongside 81 others — read 13 August 2026
Кухня наизнанку
@min2ru · 537,399
Telegram ranks this channel #14 of 83 here — alongside 82 others — read 11 August 2026
Бородатый не пробовал | доктор Бурлаков
@doc_burlakov · 34,196
Telegram ranks this channel #19 of 94 here — alongside 93 others — read 3 September 2026
Обратная сторона Л.
@semikolennyh · 18,724
Telegram ranks this channel #25 of 87 here — alongside 86 others — read 4 October 2026
Газовый гигант (ibs.doc)🪐
@ibs_doc · 21,742
Telegram ranks this channel #27 of 100 here — alongside 99 others — read 23 September 2026
Доктор Утин
@doctorutin · 24,617
Telegram ranks this channel #27 of 97 here — alongside 96 others — read 16 September 2026
Татьяна Метельская | Фитнес-тренер в Telegram
@tanya_yourfit · 57,083
Telegram ranks this channel #27 of 62 here — alongside 61 others — read 25 August 2026
Доктор Амина
@dr_amina_pirmanova · 129,968
Telegram ranks this channel #28 of 87 here — alongside 86 others — read 13 August 2026
Каша в голове
@kashapisha · 19,691
Telegram ranks this channel #29 of 91 here — alongside 90 others — read 29 September 2026
МАША И ЕДА
@delikatessenit · 45,338
Telegram ranks this channel #29 of 87 here — alongside 86 others — read 27 August 2026
Дневник доктора Белолипецкой
@dr_belolipetskaia · 44,186
Telegram ranks this channel #32 of 90 here — alongside 89 others — read 27 August 2026
Nice&Easy / Нутрициолог Дарья Савельева
@perekusovnet · 39,093
Telegram ranks this channel #47 of 93 here — alongside 92 others — read 30 August 2026
Тамара, какого хрена?
@od_tkh · 22,734
Telegram ranks this channel #48 of 84 here — alongside 83 others — read 19 September 2026
Страшная химия
@chemistrybyolga · 33,687
Telegram ranks this channel #52 of 91 here — alongside 90 others — read 4 September 2026
Каплина О.Ю., гинеколог, гемостазиолог & dr.gemogyn
@dr_gemogyn · 21,861
Telegram ranks this channel #54 of 98 here — alongside 97 others — read 23 September 2026
Максим Кузнецов - Врач эндокринолог
@medic_smith · 150,584
Telegram ranks this channel #54 of 98 here — alongside 97 others — read 13 August 2026
Шура, выручай!
@shura_help · 34,563
Telegram ranks this channel #60 of 95 here — alongside 94 others — read 3 September 2026
Пей таблетки! | MedIQLab
@mediq · 65,604
Telegram ranks this channel #64 of 93 here — alongside 92 others — read 21 August 2026
Школа Семейных Отношений Яны Катаевой
@yanakataeva · 29,137
Telegram ranks this channel #65 of 90 here — alongside 89 others — read 8 September 2026
VLADLENAFIT
@vladlenafit · 36,413
Telegram ranks this channel #69 of 93 here — alongside 92 others — read 4 September 2026
dnevnikdoctora
@dnevnikdoctora · 45,184
Telegram ranks this channel #69 of 98 here — alongside 97 others — read 27 August 2026
Гастроэнтеролог ХАРИТОНОВ Андрей Геннадьевич
@ag_kharitonov · 58,834
Telegram ranks this channel #71 of 99 here — alongside 98 others — read 22 August 2026

This channel appears in 33 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“СЪЕДОБНЫЙ НАУЧПОП” (@e_semika), 45,548 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/e_semika.

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.