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Telegram profile photo for Маша Фомичева

Channel

Маша Фомичева

@masha_fomicheva

Verified by Telegram

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Polls · Citations · Telegram's recommendations · Cite this entry

58,725subscribers

-886 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-1001303687673
TypeChannel
Username@masha_fomicheva
DescriptionВкусный канал Маши Фомичевой🤍 Служба Заботы: @MariaFomsupports Регистрация канала: https://goo.su/NqG1Hg
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/masha_fomicheva

Topic

Other / unclassifiable — 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 10 August 2026 and assigned it the closest of 31 fixed categories, at 53% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@masha_fomicheva/7094 · this entry4 Aug 2026, 12:43 UTC@newyeardrfom/47204 Aug 2026, 12:47 UTC1.004 minutes
@masha_fomicheva/7100 · this entry4 Aug 2026, 12:45 UTC@newyeardrfom/47264 Aug 2026, 12:49 UTC1.004 minutes
@masha_fomicheva/7103 · this entry5 Aug 2026, 07:58 UTC@newyeardrfom/47295 Aug 2026, 08:00 UTC1.002 minutes
@masha_fomicheva/7107 · this entry5 Aug 2026, 12:53 UTC@newyeardrfom/47335 Aug 2026, 12:54 UTC1.0072 seconds
@masha_fomicheva/7110 · this entry6 Aug 2026, 15:11 UTC@newyeardrfom/47366 Aug 2026, 15:12 UTC1.0072 seconds
@masha_fomicheva/7112 · this entry7 Aug 2026, 10:02 UTC@newyeardrfom/47387 Aug 2026, 10:03 UTC1.0072 seconds
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@newyeardrfom6 (6/6 hand-verifiable sample passed)1.002 minutesthis entry (60)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 6 comparable posts for this entry, running 4 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 2, the earliest publisher we hold is @masha_fomicheva — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

58,72559,61159,1687 August 2026 — 59,611 subscribers7 August 2026 — 59,611 subscribers8 August 2026 — 59,596 subscribers9 August 2026 — 59,576 subscribers10 August 2026 — 59,596 subscribers11 August 2026 — 59,587 subscribers12 August 2026 — 59,559 subscribers12 August 2026 — 59,536 subscribers14 August 2026 — 59,502 subscribers15 August 2026 — 59,449 subscribers17 August 2026 — 59,427 subscribers18 August 2026 — 59,391 subscribers19 August 2026 — 59,350 subscribers20 August 2026 — 59,326 subscribers21 August 2026 — 59,308 subscribers22 August 2026 — 59,284 subscribers24 August 2026 — 59,250 subscribers25 August 2026 — 59,225 subscribers26 August 2026 — 59,206 subscribers27 August 2026 — 59,175 subscribers28 August 2026 — 59,155 subscribers29 August 2026 — 59,138 subscribers30 August 2026 — 59,123 subscribers31 August 2026 — 59,093 subscribers1 September 2026 — 59,056 subscribers2 September 2026 — 59,045 subscribers3 September 2026 — 59,035 subscribers4 September 2026 — 59,010 subscribers6 September 2026 — 58,958 subscribers10 September 2026 — 58,877 subscribers12 September 2026 — 58,815 subscribers14 September 2026 — 58,790 subscribers15 September 2026 — 58,779 subscribers17 September 2026 — 58,725 subscribers7 August 202617 September 2026
34 measurements spanning 41 days, net -886. 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 58,592–59,744 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
17 Sept 2026, 23:1958,725-54
15 Sept 2026, 22:0158,779-11
14 Sept 2026, 04:5958,790-25
12 Sept 2026, 11:2058,815-62
10 Sept 2026, 04:5758,877-81
6 Sept 2026, 21:5658,958-52
4 Sept 2026, 09:4259,010-25
3 Sept 2026, 00:4759,035-10
2 Sept 2026, 01:2659,045-11
1 Sept 2026, 03:4859,056-37
31 Aug 2026, 01:0859,093-30
30 Aug 2026, 03:5759,123-15
29 Aug 2026, 05:2659,138-17
28 Aug 2026, 02:3559,155-20
27 Aug 2026, 05:0459,175-31
26 Aug 2026, 05:5259,206-19
25 Aug 2026, 05:0659,225-25
24 Aug 2026, 04:0559,250-34
22 Aug 2026, 15:0459,284-24
21 Aug 2026, 08:4359,308first reading

Engagement

104 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 98 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.32%
avg views ÷ 58,725 subscribers
Avg views / post
2,540
33 posts measured
Reaction rate
1.57%
reactions ÷ views · ER floor
Posts in window
33
of 104 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. It is computed over the 32 of 33 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 23 September 2026
Posts held104 (4 August 202623 September 2026)
Views total83,730
Reactions total1,290
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Sept 2026, 03:25 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
4,220
Videos
717
Links
475

Lifetime counters from Telegram’s own channel header, read 24 September 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
10m 14s
Average length
38s

Measured directly from 16 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

2,458 reactions across 99 posts, in 20 distinct kinds. The most used accounts for 65.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,61365.6%
🔥31712.9%
❤‍🔥26510.8%
🤩592.40%
😍542.20%
👍371.51%
💔321.30%
💯180.732%
👌160.651%
🥰130.529%
110.448%
👏70.285%
🍓50.203%
🙏30.122%
😁20.081%
🥴20.081%
🎉10.041%
👎10.041%
🕊10.041%
🦄10.041%

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 99 of the 104 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 2,458 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 104 most recent posts we hold, published 4 August 2026 to 23 September 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
3
across the posts below
Posts paid on
3
of 104 we hold a reading for · 3%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @masha_fomicheva. 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 104 most recent posts we hold for this entry, published 4 August 2026 to 23 September 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

23 Sept 2026, 13:17 UTC≈1,150 views26 reactionsread 24 September 2026
Photo

ну что, продолжаем готовить по осенней подборке🍁 и сегодня у нас НОРМАЛЬНЫЙ УЖИН! мои любимые фаршированные перчики😍 я их готовлю сразу много, чтобы потом несколько вечеров вообще не думать, что поесть и после нашего сегодняшнего разговора про вечернее переедание они сюда ну идеально вписались! пошаговый рецепт оставлю в комментариях👇 там всё подробно, сохраняйте и готовьте! вот такой клуб я, собственно, и собира

18🔥5👌2👏1

23 Sept 2026, 12:07 UTC≈1,290 views14 reactionsread 24 September 2026
Photo

отеки - одна из моих любимых тем потому что в большинстве случаев глобальной проблемы нет от слова совсем так-то я даже свой клуб назвала в честь отёков ахаха) вот я их люблю! потому что говорить о них могу бесконечно. и предлагаю сегодня разобрать одну из сотни неочевидных причин ВЕЧЕРНЕЕ ПЕРЕЕДАНИЕ и тянется оно еще с самого утра. если утром почти не поели или даже с утра все было хорошо, то в обед вы точно пер

❤‍🔥85👏1

23 Sept 2026, 11:07 UTC≈1,410 viewsread 24 September 2026
Poll

Как дела с отеками?

  1. всё так же отекаю(52%
  2. чуть лучше29%
  3. у меня вообще нет отечности19%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

23 Sept 2026, 11:07 UTC≈1,370 views5 reactionsread 24 September 2026

рассказывайте, как дела обстоят осенью с отеками? ситуация лучше, чем летом?

5

22 Sept 2026, 11:09 UTC≈2,160 views63 reactionsread 24 September 2026
File

Ловите осеннюю подборку моих любимых рецептов! Это я собираю золотую коллекцию рецептов для своего клуба «Плоский живот. Минус отеки» Теперь понимаете, насколько он будет крут?!?!🔥🔥🔥 Кстати! Уже можно добавляться в предзапись: https://masha-fom.ru/preclub Потихоньку подробности про свой клуб буду здесь вам рассказывать. И готовить вместе с вами по этой подборке😍 Буду все показывать, чтобы у вас получалось!

39🔥17❤‍🔥5🙏2

22 Sept 2026, 10:50 UTC≈2,230 views47 reactionsread 24 September 2026
Photo

буду вас дразнить! сначала покажу этот волшебный супчик! он из осенней подборки как раз🍁😍 готовлю его так: Тыквенный суп с печеными овощами и тыковками-ньокками Для супа: Запекаешь 1 час в духовке Тыква 500гр Перец болгарский 2шт Чеснок 1 (но после запекания я беру только 2 зубчика) 2 больших помидора, но можно и без них После запекания добавляешь к ним в блендер: Сливки/кокосовое молоко 300мл Специи (перец, папри

346🔥4🤩3

22 Sept 2026, 08:25 UTC≈2,150 views55 reactionsread 24 September 2026
Photo

настроение: поделиться с вами осенней подборкой моих любимых рецептов принимать готовы?😍🍁

❤‍🔥36🔥134🤩2

16 Sept 2026, 13:15 UTC≈3,560 views116 reactionsread 23 September 2026

Хочу создать клуб! Такое сообщество, где будут мои рецепты/сборники/меню где я буду делиться своими тарелками где я буду рассказывать свои секретики про отеки, вес где буду влюблять вас в то, что сделает нас всех счастливыми и здоровыми!😍 Хочу, хочу, хочу!😍 Делаем?!?! Если да, то что бы еще хотелось там увидеть?

80🔥21❤‍🔥10🤩3🥴2

16 Sept 2026, 13:08 UTC≈2,940 views8 reactionsread 23 September 2026
Video message

Video message, posted without a caption

🔥61🎉1

16 Sept 2026, 10:41 UTC≈2,980 views121 reactionsread 23 September 2026
Photo

домашний сливовый пирог🍁 оцениваем срочно от 0 до 100, чтобы я знала, насколько актуальны такие самые обычные, но уютные рецепты, где используем самые обычный сахар и пшеничную муку

❤‍🔥7528👍16🤩2

16 Sept 2026, 10:31 UTC≈2,270 views21 reactionsread 22 September 2026
Video message

Video message, posted without a caption

😍12🔥63

15 Sept 2026, 14:06 UTC≈2,670 views80 reactionsread 22 September 2026
Photo

романтизирую осень🍁❤️ оставайтесь на связи! завтра поделюсь волшебным пирогом со сливами (тот, что на фото)

61❤‍🔥19

Showing the 12 most recent of 104 posts we hold for @masha_fomicheva. 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.

23 Sept 2026, 11:07 UTCAnonymous Poll133 voters

Как дела с отеками?

  1. всё так же отекаю(52%
  2. чуть лучше29%
  3. у меня вообще нет отечности19%

Shares as published. 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 104 most recent posts we hold, published 4 August 2026 to 23 September 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.

Names

Channels on the register whose handles appear in this channel's posts.

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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@salatshop · 28,653
#36
Рецепты от @varaksina.as 🥑
@varaksinablog · 19,668
#37
Седа Каспарова
@Seda_Kasparova_news · 257,316
#38
vadim_porzh - канал для стройных и сильных
@vadim_porzh · 14,325
#39
БЕЛЬЧИКИ
@kbelchik · 65,540
#40
Тоня Сальникова
@pptonya · 113,552
#41
How to Sasha
@howtosashanovikova · 63,028
#42
тут Нелл
@nelljoule · 20,204
#43
Хэлфи Клуб
@healthy_clubbyLiza · 34,056
#44
В женской шкуре
@elya_bulochka · 49,447
#45
Instafoodpassion
@instafoodpassion · 27,370
#46
ЗОЖигалочка💚
@NutritionByRita · 2,088
#47
Нескучный ВЕЛНЕС
@happywellness · 77,392
#48
Сабина Филина | Домашние тренировки
@sabintag · 69,087
#49
G.D_wellness
@gdwellness · 12,359
#50
Доктор Дубинина Ольга
@doctor_dubinina · 12,548
#51
МамТань
@tatipetrishcheva17 · 34,638
#52
Кукуха
@kukuhafm · 6,147
#53
EatClean | ПП РЕЦЕПТЫ И МЕНЮ
@eatclean_menu · 85,038
#54
Ароматная Сауна
@aromasauna · 38,997
#55
katyaklish
@katyaklish · 21,973
#56
ТВОЙ СОМЕЛЬЕ 🍷
@chris_tella_wine · 102,087
#57
с любовью, эми🤍
@emmiiili · 5,424
#58
PILETSKAYA
@piletskayabeauty · 97,153
#59
Usmanovakate💎
@usmanovakaterina · 131,250
#60
Kids Club. Стрелец-Молодец
@streletskids · 49,300
#61
Анастасия Кужовник | Фитнес-тренер
@anastasiia_kuzhovnik · 24,873
#62
Valeriia НУТРИЦИОЛОГ 🥑
@leraeasyfit · 4,158
#63
Ну Крис | питание и образ жизни
@nykris · 2,275
#64
С любовью, ЗОЖ
@masha_pro_zozh · 10,214
#65
JULYABAY
@julyabaybeauty · 28,230
#66
pp.live
@anastasiya_pplive · 23,322
#67
Эстетический маньяк
@elizabethbelaya · 20,723
#68
Liza_tasty_blog
@liza_tasty_bllog · 52,094
#69
Кровавая барыня
@bloodysx · 1,158,879
#70
Стрелец-Молодец
@strelets_molodec · 355,464
#71
Ольга Гогаладзе
@profinansy · 577,646
#72
Katya Golden
@katya_golden · 108,306
#73
Okuprin
@okuprin · 34,547
#74
Заготовки с Шелушей
@zagotovki_welldone · 31,480
#75
Твоя Филатова✌🏽
@marinafilatovaaa · 47,176
#76
Кухня Антона 🔪
@anton_food · 51,068
#77
IRNBY TRAINING CLUB
@irnby_club · 21,095
#78

Read from Telegram’s recommendation API, most recently 22 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.

Alena.Mad
@alena_mad0 · 66,520
Telegram ranks this channel #3 of 81 here — alongside 80 others — read 21 August 2026
Монахова
@monakhovana · 86,547
Telegram ranks this channel #23 of 65 here — alongside 64 others — read 18 August 2026
Rovenskaya_sveta
@rovenskaya_sveta · 30,686
Telegram ranks this channel #35 of 86 here — alongside 85 others — read 6 September 2026
batonobelka вещает 🥐
@batonobelka_talks · 22,058
Telegram ranks this channel #38 of 71 here — alongside 70 others — read 21 September 2026
Liza_tasty_blog
@liza_tasty_bllog · 52,094
Telegram ranks this channel #43 of 88 here — alongside 87 others — read 24 August 2026
Vorobey_pp - ПП рецепты
@vorobey_pp_recipes · 42,172
Telegram ranks this channel #44 of 92 here — alongside 91 others — read 29 August 2026
Никита | Похудение | Фитнес тренер | Осанка
@komarowfitness · 32,002
Telegram ranks this channel #47 of 80 here — alongside 79 others — read 5 September 2026
МамТань
@tatipetrishcheva17 · 34,638
Telegram ranks this channel #53 of 63 here — alongside 62 others — read 2 September 2026
К телу бережно | осанка | похудение | ПП рецепты
@kurmanchuk_official · 24,118
Telegram ranks this channel #54 of 77 here — alongside 76 others — read 16 September 2026
SPORT_LIZZ 🤍
@sportlizz · 27,914
Telegram ranks this channel #55 of 84 here — alongside 83 others — read 10 September 2026
pp.live
@anastasiya_pplive · 23,322
Telegram ranks this channel #60 of 74 here — alongside 73 others — read 18 September 2026
Заготовки с Шелушей
@zagotovki_welldone · 31,480
Telegram ranks this channel #62 of 86 here — alongside 85 others — read 6 September 2026
katyaklish
@katyaklish · 21,973
Telegram ranks this channel #63 of 76 here — alongside 75 others — read 22 September 2026
Кухня Антона 🔪
@anton_food · 51,068
Telegram ranks this channel #75 of 79 here — alongside 78 others — read 25 August 2026
Анастасия Кужовник | Фитнес-тренер
@anastasiia_kuzhovnik · 24,873
Telegram ranks this channel #78 of 89 here — alongside 88 others — read 15 September 2026
VLADLENAFIT
@vladlenafit · 33,539
Telegram ranks this channel #79 of 93 here — alongside 92 others — read 4 September 2026
ПП рецепты
@avokado_xudeet · 95,516
Telegram ranks this channel #80 of 86 here — alongside 85 others — read 16 August 2026
EatClean | ПП РЕЦЕПТЫ И МЕНЮ
@eatclean_menu · 85,038
Telegram ranks this channel #84 of 88 here — alongside 87 others — read 18 August 2026

This channel appears in 18 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Маша Фомичева” (@masha_fomicheva), 58,725 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/masha_fomicheva.

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.