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Channel

Nikiforov team

@nikiforov_t

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

35,351subscribers

+332 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-1002017790355
TypeChannel
Username@nikiforov_t
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live27 October 2026
Measurements held50
Confirmed unchanged1 time, most recently 27 October 2026
On Telegramt.me/nikiforov_t

Topic

Other / unclassifiable — 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 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 the other topics.

Growth

34,97035,47435,2227 August 2026 — 35,019 subscribers7 August 2026 — 35,019 subscribers7 August 2026 — 35,018 subscribers8 August 2026 — 35,011 subscribers9 August 2026 — 35,002 subscribers10 August 2026 — 34,992 subscribers11 August 2026 — 34,988 subscribers12 August 2026 — 34,970 subscribers13 August 2026 — 35,132 subscribers14 August 2026 — 35,130 subscribers16 August 2026 — 35,155 subscribers17 August 2026 — 35,124 subscribers18 August 2026 — 35,091 subscribers19 August 2026 — 35,186 subscribers20 August 2026 — 35,192 subscribers21 August 2026 — 35,170 subscribers23 August 2026 — 35,150 subscribers24 August 2026 — 35,127 subscribers25 August 2026 — 35,136 subscribers26 August 2026 — 35,150 subscribers27 August 2026 — 35,152 subscribers28 August 2026 — 35,138 subscribers30 August 2026 — 35,128 subscribers1 September 2026 — 35,122 subscribers2 September 2026 — 35,115 subscribers3 September 2026 — 35,097 subscribers5 September 2026 — 35,103 subscribers8 September 2026 — 35,130 subscribers11 September 2026 — 35,127 subscribers13 September 2026 — 35,096 subscribers14 September 2026 — 35,111 subscribers16 September 2026 — 35,126 subscribers19 September 2026 — 35,119 subscribers25 September 2026 — 35,389 subscribers4 October 2026 — 35,428 subscribers9 October 2026 — 35,454 subscribers13 October 2026 — 35,451 subscribers14 October 2026 — 35,417 subscribers15 October 2026 — 35,416 subscribers16 October 2026 — 35,413 subscribers17 October 2026 — 35,409 subscribers18 October 2026 — 35,450 subscribers19 October 2026 — 35,445 subscribers20 October 2026 — 35,474 subscribers22 October 2026 — 35,460 subscribers23 October 2026 — 35,446 subscribers24 October 2026 — 35,428 subscribers25 October 2026 — 35,397 subscribers26 October 2026 — 35,370 subscribers27 October 2026 — 35,351 subscribers35,3517 August 202627 October 2026
50 measurements spanning 81 days, net +332. 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 34,894–35,550 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 50
Measured (UTC)SubscribersChange
27 Oct 2026, 19:5835,351-19
26 Oct 2026, 22:1535,370-27
25 Oct 2026, 23:1635,397-31
24 Oct 2026, 20:1035,428-18
23 Oct 2026, 22:4535,446-14
22 Oct 2026, 21:5635,460-14
20 Oct 2026, 19:2135,474+29
19 Oct 2026, 15:5635,445-5
18 Oct 2026, 17:5635,450+41
17 Oct 2026, 16:5035,409-4
16 Oct 2026, 19:3735,413-3
15 Oct 2026, 16:4035,416-1
14 Oct 2026, 17:0435,417-34
13 Oct 2026, 04:5135,451-3
9 Oct 2026, 00:1735,454+26
4 Oct 2026, 10:4135,428+39
25 Sept 2026, 19:3835,389+270
19 Sept 2026, 04:3635,119-7
16 Sept 2026, 19:1835,126+15
14 Sept 2026, 18:5435,111first reading

Engagement

202 posts held, back to 25 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 150 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
15.3%
avg views ÷ 35,351 subscribers
Avg views / post
5,410
61 posts measured
Reaction rate
1.55%
reactions ÷ views · ER floor
Posts in window
63
of 202 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 26 October 2026
Posts held202 (25 July 2026 – 26 October 2026)
Views total330,078
Reactions total5,127
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Oct 2026, 14:58 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
3h 44m
Average length
3m 04s

Measured directly from 73 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

13,897 reactions across 190 posts, in 47 distinct kinds. The most used accounts for 40.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5,58740.2%
🔥3,79527.3%
🤣1,0747.73%
❤‍🔥7885.67%
😁5183.73%
👍5013.61%
🏆4463.21%
😍2221.60%
👏1891.36%
🥰1020.734%
🎉720.518%
⚡660.475%
🙏610.439%
💋520.374%
🙈450.324%
💘430.309%
💯390.281%
🤩380.273%
👌360.259%
😱330.237%
27 further kinds1901.37%

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 190 of the 202 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 13,897 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 202 most recent posts we hold, published 25 July 2026 to 26 October 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
71
across the posts below
Posts paid on
60
of 192 we hold a reading for · 31%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nikiforov_t. 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 202 most recent posts we hold for this entry, published 25 July 2026 to 26 October 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

26 Oct 2026, 23:47 UTC≈2,370 views13 reactionsread 27 October 2026
Video message

Video message, posted without a caption

❤13

26 Oct 2026, 23:47 UTC≈2,370 views23 reactionsread 27 October 2026
Video message

Video message, posted without a caption

❤16🤣5🤓2

26 Oct 2026, 14:34 UTC≈3,070 views21 reactionsread 27 October 2026
Video message

Video message, posted without a caption

❤13🙏3custom 54720789540661144043👍1🤝1

26 Oct 2026, 05:44 UTC≈4,090 views81 reactionsread 27 October 2026
Video

Мы едем в Геленджик 😇

🔥55❤14🤣11🍓1

25 Oct 2026, 18:49 UTC≈4,750 views53 reactionsread 27 October 2026
Video

☺️ Почему записи лекций нельзя скачать и зачем ограничен доступ Мне часто задают этот вопрос, поэтому отвечу всем сразу. 🚀Каждый курс колледжа — это месяцы работы. Врачи и преподаватели готовят лекции, разбирают клинические случаи, мы снимаем, монтируем, проверяем каждую цифру. Это авторский контент колледжа и наших преподавателей. ❤️‍🩹К сожалению, в нашей сфере очень много пиратства. Курсы скачивают и перепродаю…

❤45❤‍🔥4👍4

25 Oct 2026, 09:25 UTC≈4,440 views137 reactionsread 27 October 2026
Video message

Video message, posted without a caption

🏆69🎉23👏20🔥18❤3👍3🤯1

25 Oct 2026, 09:23 UTC≈4,470 views81 reactionsread 27 October 2026
Video

Диана 🦾 Wellness🔥

❤37❤‍🔥28🏆15🥴1

24 Oct 2026, 15:13 UTC≈5,430 views73 reactionsread 27 October 2026
Video

Амина 😍 Тренер Александра Дербилова

❤49🔥21👍3

22 Oct 2026, 12:55 UTC≈6,330 views16 reactions1 Starread 27 October 2026
Photo

🔥 Новый курс колледжа для выпускников «Фитнес-тренера» 28 октября стартует повышение квалификации «Восстановительные тренировки в фитнесе». Курс пригодится, если вы ведёте клиентов в зале или онлайн, выступаете или тренируетесь для себя. Научитесь безопасно работать: • после травм и при болях в суставах; • при давлении и заболеваниях сердца; • при лишнем весе и диабете; • с хронической болью и мотивацией клиента. …

❤8❤‍🔥8

21 Oct 2026, 15:57 UTC≈5,790 views29 reactionsread 27 October 2026
Photo

🇹🇭 ТАИЛАНД, ПАТТАЙЯ! 🔥 Есть ли среди наших подписчиков те, кто живёт или отдыхает в Паттайе? 👀 Пока ничего не обещаем, но рассматриваем возможность провести мастер-класс Nikiforov Team в 20-х числах ноября! ✅🔥 Хотели бы посетить такое мероприятие? ❗️Мы никому не пишем первыми и не предлагаем запись в личных сообщениях. Будьте внимательны и остерегайтесь мошенников! Кто готов прийти? Отмечайтесь в комментариях! …

❤20❤‍🔥5⚡2🐳1💊1

21 Oct 2026, 08:41 UTC≈6,050 views34 reactionsread 27 October 2026
Photo

КРАСНОЯРСК И НИЖНИЙ НОВГОРОД — МЫ ЕДЕМ К ВАМ! Именно эти два города уверенно вышли в лидеры нашего голосования! 🏆 📌КРАСНОЯРСК | 27–29 НОЯБРЯ ➡️ @trenerzhihareva 27.11 — МК «Ягодицы, ноги» 28.11 — Семинар 29.11 — МК «Спина, дельты» 📌НИЖНИЙ НОВГОРОД | 11–13 ДЕКАБРЯ ➡️@Nikiforov_training_bot 11.12 — МК «Ягодицы, ноги» 12.12 — Семинар 13.12 — МК «Спина, дельты» 🔥 ЗАПИСЬ УЖЕ ДОСТУПНА! Записаться можно ТОЛЬКО че…

❤21❤‍🔥7🏆2🔥2🐳1🤝1

Showing the 12 most recent of 202 posts we hold for @nikiforov_t. 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

@nikiforov_t edited 2 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
20 September 2026
Most recent edit
23 October 2026

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.

20 Oct 2026, 09:12 UTCAnonymous Poll714 voters

Выбираем 2 города для Мастер-классов

  1. Нижний Новгород19%
  2. Пермь9%
  3. Самара14%
  4. Красноярск19%
  5. Воронеж13%
  6. Ярославль14%
  7. Уфа12%

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 202 most recent posts we hold, published 25 July 2026 to 26 October 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republishes

Channels on the register whose posts this channel has forwarded.

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

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.

MILANI SERGEEVNA
@pantherkaM · 25,119
#1
DozersuperstarIFBB
@dozersuperstarifbb · 2,512
#2
Антон Муштанов
@mushtanov · 8,131
#3
Khramova.a
@khramova_asv · 456
#4
Данил Арсеньев Фитнес Тренер
@danik1988 · 2,978
#5
неСуперЗав
@nesuperzav · 46,693
#6
Гончарова Анастасия
@GoncharovaAnastasiia · 1,232
#7
anelelelena
@anelelelena · 4,117
#8
Тренер здорового человека
@viola_deva · 5,505
#9
LENA BABURINA | PHOTO & LIFE
@lena130499 · 525
#10
KSENIIA FITNESS
@FitnessKsu · 10,314
#11
Mari_neva_
@marimatskan · 7,066
#12
Макарова Мария
@makarovamariya_ifbb · 2,142
#13
ALENA LISA ✨️🤫
@alena_L1sa · 1,469
#14
Справочная тренера с Андреем Лисёнковым
@lisenkovtr · 1,314
#15
Дмитрий Безуевский
@bezuevskiy · 14,072
#16
alexander__philippov
@coach_philippov · 8,983
#17
YADOMAROVA дневник фитнес бикини
@yadomarovaN · 14,428
#18
НЕГАТИВНЫЙ КАНАЛ
@golovina1 · 5,706
#19
⏹️Champions Cube Live 🎥
@zolotarev_sergei · 767
#20
ФББР - FBBR
@fbbr_official · 4,777
#21
ЗЕЛЕНОВА
@misszelenova · 2,121
#22
Valentina Mishina©️
@Valentina_Mishina_Pro · 7,380
#23
ТВОЙ ЛИЧНЫЙ ТРЕНЕР||Ангелина Зайцева
@angzaytseva1 · 4,337
#24
заметки хатавакса
@hattawax · 8,269
#25
FIT ENVOY
@fit_envoy · 24,036
#26
Marina Bychenko
@MARINABYCHENKO · 2,718
#27
Svetlana🥐/Онлайн ТРЕНЕР🏋️‍♂️
@vorobeshka333 · 719
#28
imlinava
@imlinava · 3,866
#29
Виктор Козлов | Гипертрофия: наука и практика
@fizikleducation · 6,354
#30
КСЕНИЯ ШЕВЕЛЁВА 😏
@Xeniasheveleva · 4,464
#31
444
@iamigoshina · 1,639
#32
Ассоциация Профессионалов Фитнеса (FPA)
@trenerskayaFPA · 9,019
#33
Sergey Karpov | Live & Photo
@karpjr2104 · 6,215
#34
Глеб Фостенко | MFG-SCHOOL
@mfg_school · 5,281
#35
Уголок ps.popov
@ps_popov · 13,315
#36
SlavikGutnikov
@slavikgutnikov · 8,707
#37
Павел Баранов. Эндокринология/диетология.
@pavelbaranov_md · 31,150
#38
Sportik Sonik
@sportik_sonik · 849
#39
ANDY KOJO: Дневник PRO
@andy_kojo31 · 6,059
#40
LizafitBikini
@LizafitBikini · 864 (as read 2 September 2026)
#41
zheleznyy_oduvanchik
@zheleznyy_oduvan · 1,490
#42
АЛИНА | фитнес-тренер и мама🤱
@its_orlova · 7,880
#43
Belkina Sport
@BelkinaSport · 1,383
#44
poli🐆
@polinamurfit · 509
#45
Gosha Neoclassic Channel
@gosha_neoclassic_chanel · 1,156
#46
жизнь ventus__florem
@ventusfloremlife · 85,328
#47
Дневник Халиуши
@haliushaaa · 2,884
#48
Galimaslovskaya_ifbb | Галина Масловская
@galiamaslovskaya_ifbb · 3,007
#49
Будни фитоняши
@garipovalilu2 · 17,548
#50
Angela Ignatova
@angelaignatova · 28,592
#51
13NB13 | ФИТНЕС | БОДИБИЛДИНГ | ЗОЖ
@nataliprofitness · 516
#52
vicsemenova
@vikkyfit · 327
#53
Kat_Shuhart IFBB PRO
@katshuhart · 1,816
#54
NBC | Федерация современного бодибилдинга и фитнеса в России | National Bodybuilding Community
@nbcrus · 3,651
#55
Мудрость Фитнеса (тренер Кабуров)
@fitness_mayatnik · 25,635
#56
Alazickaia | Мотивация
@lazickaia · 4,034
#57
Domanskaya FITNESS
@domanskayamusic · 6,552
#58
Павел Тулюпа
@tulupavel_fit · 70,392
#59
katyavaska
@podlyhorek · 1,326
#60
by.alinkins вещает 🐈‍⬛
@byalinkins · 24,558
#61
Siberian Power Show
@siberian_power_show · 3,752
#62
Что скрывает Реброва
@Rebrovass · 3,199
#63
Yana_Smith_Kuznetsova
@Yanasmithkuznetsova · 10,273
#64
ЛИСА в мире психологии
@Lisa_Sgonnik · 1,017
#65
Знахарев Знает
@ZnaharevZnaet · 1,873
#66
_svetlana_fit
@svetlana_fit_ifbbpro · 5,969
#67
AINA VAR | Фитнес
@aina_varr · 17,913
#68
Влада Уварова | Тренер
@VU_live · 741 (as read 2 September 2026)
#69
ТМейт | Physical Training
@fiztrening · 8,819
#70
Xenia92k: Твое идеальное тело
@xenia92k · 7,621
#71
katrin_shok
@katrinshok · 5,111 (as read 2 September 2026)
#72
Эльчин Аскеров
@elchinaskerov · 856
#73
prytula_cameraman 📸✨
@prytula_cameraman · 322 (as read 2 September 2026)
#74
dnevnik.bikini
@dnevnikbikini · 937
#75
STAGEMAKEUP & HAIRSTYLE
@makeup_fitnessbikini_world_tel · 600 (as read 2 September 2026)
#76
Вакансии фитнес-индустрии
@fitnessrabota · 3,671
#77
Мракоборец - еда без запретов
@bodyscience_crew · 10,881
#78
Dasha Nikitchik
@dashanikitchik · 51,455
#79

Read from Telegram’s recommendation API, most recently 2 September 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.

MILANI SERGEEVNA
@pantherkaM · 25,119
Telegram ranks this channel #1 of 77 here — alongside 76 others — read 14 September 2026
Настя Горбань
@gorban_n · 21,357
Telegram ranks this channel #2 of 65 here — alongside 64 others — read 23 September 2026
Dasha Nikitchik
@dashanikitchik · 51,455
Telegram ranks this channel #4 of 57 here — alongside 56 others — read 2 September 2026
FIT ENVOY
@fit_envoy · 24,036
Telegram ranks this channel #43 of 75 here — alongside 74 others — read 16 September 2026
Мудрость Фитнеса (тренер Кабуров)
@fitness_mayatnik · 25,635
Telegram ranks this channel #43 of 93 here — alongside 92 others — read 13 September 2026
Павел Баранов. Эндокринология/диетология.
@pavelbaranov_md · 31,150
Telegram ranks this channel #48 of 96 here — alongside 95 others — read 6 September 2026
ONLYFITS
@onlyfits_club · 22,888
Telegram ranks this channel #49 of 66 here — alongside 65 others — read 20 September 2026
Здравхаб Игоря Воронцова
@HealthCoachIgor · 19,928
Telegram ranks this channel #54 of 87 here — alongside 86 others — read 27 September 2026
Sofia Maloletova
@Sofia_Malolet · 21,943
Telegram ranks this channel #54 of 82 here — alongside 81 others — read 21 September 2026
VLADLENAFIT
@vladlenafit · 35,976
Telegram ranks this channel #54 of 93 here — alongside 92 others — read 4 September 2026
ЛиндоВерный
@lindover · 20,245
Telegram ranks this channel #57 of 85 here — alongside 84 others — read 27 September 2026
Биохакинг |Максим Обухов | Нутрициология
@obukhov_channel · 27,396
Telegram ranks this channel #62 of 74 here — alongside 73 others — read 27 September 2026
Павел Тулюпа
@tulupavel_fit · 70,392
Telegram ranks this channel #78 of 91 here — alongside 90 others — read 20 August 2026

This channel appears in 13 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 27 October 2026 — this entry's latest reading, not the date you are reading this.

“Nikiforov team” (@nikiforov_t), 35,351 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/nikiforov_t.

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.