Telegram RegisterThe public register of Telegram
Telegram profile photo for Наталья Жукова²

Channel

Наталья Жукова²

@NatalliaZhukova2

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

49,671subscribers

+1,480 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-1002122612415
TypeChannel
Username@NatalliaZhukova2
Description#Q4NIF Зарегистрировано в Роскомнадзоре, номер заявки 6549106578 Нейропсихолог с 15-летним опытом Мой клуб «АВТОНОМИЯ» Пространство для женщин, которые хотят стать устойчивыми, способными жить свою жизнь, опираясь на себя ❤️ Сотрудничество: @m_khachanova
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 live18 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/NatalliaZhukova2

Topic

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 89% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

47,91250,11949,015.57 August 2026 — 48,191 subscribers8 August 2026 — 48,147 subscribers9 August 2026 — 48,110 subscribers10 August 2026 — 48,094 subscribers11 August 2026 — 48,049 subscribers12 August 2026 — 48,139 subscribers13 August 2026 — 48,112 subscribers14 August 2026 — 48,080 subscribers15 August 2026 — 48,055 subscribers17 August 2026 — 48,003 subscribers18 August 2026 — 47,929 subscribers19 August 2026 — 47,914 subscribers20 August 2026 — 47,912 subscribers22 August 2026 — 48,743 subscribers23 August 2026 — 49,055 subscribers24 August 2026 — 49,430 subscribers26 August 2026 — 49,495 subscribers26 August 2026 — 49,579 subscribers28 August 2026 — 49,609 subscribers29 August 2026 — 49,630 subscribers30 August 2026 — 49,673 subscribers31 August 2026 — 49,671 subscribers1 September 2026 — 49,951 subscribers2 September 2026 — 49,935 subscribers3 September 2026 — 50,082 subscribers5 September 2026 — 50,085 subscribers8 September 2026 — 50,055 subscribers11 September 2026 — 50,089 subscribers13 September 2026 — 50,119 subscribers14 September 2026 — 49,993 subscribers16 September 2026 — 49,849 subscribers18 September 2026 — 49,671 subscribers49,6717 August 202618 September 2026
32 measurements spanning 42 days, net +1,480. 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 47,581–50,450 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
18 Sept 2026, 13:5649,671-178
16 Sept 2026, 07:2149,849-144
14 Sept 2026, 16:5649,993-126
13 Sept 2026, 06:3750,119+30
11 Sept 2026, 06:2050,089+34
8 Sept 2026, 09:2150,055-30
5 Sept 2026, 05:1750,085+3
3 Sept 2026, 09:1750,082+147
2 Sept 2026, 05:2549,935-16
1 Sept 2026, 05:5449,951+280
31 Aug 2026, 03:5749,671-2
30 Aug 2026, 02:1249,673+43
29 Aug 2026, 03:0249,630+21
28 Aug 2026, 00:4649,609+30
26 Aug 2026, 21:4649,579+84
26 Aug 2026, 01:0849,495+65
24 Aug 2026, 23:1349,430+375
23 Aug 2026, 12:4549,055+312
22 Aug 2026, 01:3448,743+831
20 Aug 2026, 15:5347,912first reading

Engagement

201 posts held, back to 5 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 99 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.19%
avg views ÷ 49,671 subscribers
Avg views / post
2,080
145 posts measured
Reaction rate
3.51%
reactions ÷ views · ER floor
Posts in window
145
of 201 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 142 of 145 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 held201 (5 August 202623 September 2026)
Views total301,565
Reactions total10,443
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Sept 2026, 19:40 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

Photos
4,050
Videos
836
Links
555

Lifetime counters from Telegram’s own channel header, read 23 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
17m 22s
Average length
47s

Measured directly from 22 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

14,943 reactions across 195 posts, in 9 distinct kinds. The most used accounts for 54.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
8,07854.1%
🔥3,31722.2%
❤‍🔥9966.67%
💯7935.31%
😁6604.42%
🥰6404.28%
😍3442.30%
custom 4909153572152673043610.408%
😘540.361%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.

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 196 of the 201 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 14,943 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 201 most recent posts we hold, published 5 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
41
across the posts below
Posts paid on
20
of 201 we hold a reading for · 10%
Most on one post
8
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @NatalliaZhukova2. 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 201 most recent posts we hold for this entry, published 5 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, 19:05 UTC442 views30 reactionsread 23 September 2026
Photo

Я до Автономии, я спустя год в Автономии😂

😁228

23 Sept 2026, 16:12 UTC≈1,590 views148 reactionsread 23 September 2026

Ну мёд 🍯, муж! 🩷🩷🩷

96🔥32😍12❤‍🔥8

23 Sept 2026, 15:09 UTC≈1,600 views22 reactionsread 23 September 2026
Video message

Video message, posted without a caption

🔥148

23 Sept 2026, 15:08 UTC≈1,440 views18 reactionsread 23 September 2026
Video message

Video message, posted without a caption

🔥143🥰1

23 Sept 2026, 15:07 UTC≈1,390 views20 reactionsread 23 September 2026
Video message

Video message, posted without a caption

🔥125❤‍🔥3

23 Sept 2026, 14:02 UTC≈1,460 views59 reactionsread 23 September 2026
Photo

Тем временем оплата ушла семейному терапевту. Завтра сессия, будем говорить о деньгах в паре и достаточности. Терапию оплачиваем 50/50. Терапевт сказала, что мы хорошо себя ведем и скоро будем ходить уже раз в 2 недели =))

😁4118

23 Sept 2026, 12:17 UTC≈1,610 views26 reactionsread 23 September 2026

Медийные люди, пишущие о пользе психотерапии, мой краш 💔

20💯6

23 Sept 2026, 12:16 UTC≈1,630 views59 reactionsread 23 September 2026
Forwarded from @mironovanastasiiaPhoto

почему лучшие луки — это первые упавшие из шкафа вещи после утреннего сеанса психотерапии? ах, этот дивный мир психологических открытий! за последний год я приблизилась к своей сути, гармонии и доброте внутри, как никогда ранее. я могла оставаться в разрушительных сценариях годами, пытаться что-то чинить и всеми способами становиться лучше (ведь дело было, конечно, во мне. нет) главные приобретенные навыки— не ост

37😁17🔥5

23 Sept 2026, 05:30 UTC≈1,830 views77 reactionsread 23 September 2026
Photo

Привычка давать себе. Ребёнку нужен врач - найдём врача. Нужно обследование - найдём деньги. Родителям помочь - разберёмся. Что-то случилось у мужа - включимся. Даже собаке, если надо срочно к ветеринару, никто обычно не сидит полгода с мыслью: ну сейчас сложный период, потом как-нибудь)) А своё здоровье почему-то можно переносить. Зубы потом. Анализы потом. Спорт потом. Отдых потом. Обучение, которое давно хочется

57🔥20

22 Sept 2026, 22:01 UTC≈1,140 views53 reactionsread 23 September 2026
Voice message

Спишь..? Инсайтик принесла Вот это действительно очень дорогой, взрослый и роскошный шопинг. ❤️

❤‍🔥20custom 49091535721526730431410🔥7💯2

22 Sept 2026, 19:10 UTC≈1,530 views40 reactionsread 23 September 2026
Photo

Я тоже off.

🔥39custom 49091535721526730431

22 Sept 2026, 19:08 UTC≈1,390 views5 reactionsread 23 September 2026

Ахах, вот это темп. Я ток приехала в Москву на встречу клуба, к моменту эфира уже уснула 😂 Москва конечно капец шумная, быстрая и прям вся на энергиях. Питер не маленький город, но ритм там все равно не такой бешеный 🤪

💯5

Showing the 12 most recent of 201 posts we hold for @NatalliaZhukova2. 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

@NatalliaZhukova2 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
11 August 2026
Most recent edit
21 September 2026

Forward network

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

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.

Наташа Жукова.Рядом 🫂
@zhukova_ryadom · 28,164
#1
Жукова сказала это Окей.
@zhukovakey · 11,061
#2
Жукова для психологов
@richhelping · 7,124
#3
Университет Современной Психологии | УСП
@ump_edu · 4,884
#4
«СРЕДА ДЛЯ СВОИХ» сообщество Наташи Жуковой
@club_zhukova · 2,303
#5
RealPsy С Олифирович
@RealPsy_Olifirovich · 1,608
#6
Её рук дело | Соина Лена
@elenasoina_delo · 757
#7
Анна Макогонова
@annamakogonovapsy · 536
#8
Ректор Булатова
@psy_bulatova · 13,514
#9
Седа Каспарова
@Seda_Kasparova_news · 257,316
#10
Тата Феодориди
@TatFeodoridy · 60,022
#11
Ольга Берг о психологии 💌
@olga_bergpsyy · 15,545
#12
Богатые психологи🔥
@psy_rich_body · 2,411
#13
Гениальные мысли КЛ
@xenia_lvovna · 1,837
#14
Мария Яковлева
@marie_yakovlevaa · 814
#15
Извините, вырвалось
@kristina_medinskya · 2,350
#16
Психолог для пар и для тебя | Татьяна Кондрушева (Гудкова)
@power_spirit_psy · 324
#17
Ты не сложная ❤️‍🩹 Твой психолог Екатерина Рудик
@psy_katerudik · 1,062
#18
Анна Протасова
@reiraofficial · 94,279
#19
Терапия. Расстановки| Алиса Абрамова
@psyholog_abramova · 644
#20
Мария Шидловская | Заметки психолога
@MashaPsy_Vredina · 4,587
#21
Мария Роженко | психология, бизнес и жизнь
@coaching21centure · 4,753
#22
Настя про психологию: развитие и продвижение
@psyinspirationgo · 716
#23
💭Иными Словами | Седова Юлия
@yuliasedova · 648
#24
Психология отношений. Созависимость 👨‍👩‍👧‍👦
@procodependency · 1,302
#25
ПСИХОЛОГ ТАТЬЯНА ФИШЕР
@fisherpsy · 7,518
#26
ГИД ПО ЛИЧНОЙ ЭВОЛЮЦИИ Шорохова!
@shorokhova_tatiana_77 · 1,263
#27
УНИВЕРСИТЕТ Мавричева
@universitet_mavricheva · 106
#28
Мари Мигаль — про мозг и бизнес 🧠🚀
@migal_pro · 632
#29
НЕзависимость
@antixhrypkost · 920
#30
Лев Черняев
@lev_chernyaev · 4,317
#31
Козлова о важном
@kozlovaevgeniya_psy · 5,289
#32
PODREZ EDUCATION
@podrezeducation · 7,511
#33
Канал Ирины Подрез
@ipodrez · 29,426
#34
Дневник смысловика. Помогаю продвигать профессиональный бренд
@bardadynova_dnevnik · 615
#35
Берг Институт психологии
@berg_institute · 7,079
#36
Институт психологии Life Practic
@psypractic_ru · 33,136
#37
Оксана Лаврентьева
@OxanaLavretieva · 39,091
#38
Анна Риттер. Терапия как искусство
@annaritter_therapy · 5,280
#39
Аня Каменец #makesense
@kamenetsanya · 2,668
#40
Канал Школы системного подхода в бизнесе
@hfnd_school · 1,539
#41
Канал Артема Дюкарева
@artemdykarevchannel · 4,684
#42
Мария Довнар
@mariyadovnar_channel · 10,319
#43
В кресле у маркетолога
@vkresleumarketologa · 887
#44
Marina Golomazdina
@marinagolomazdina · 120,608
#45
Мария Бразговская
@MBrazgovskaia · 56,295
#46
честно говоря | Анастасия Райская
@nastya_rayskaya · 762
#47
Гештальт-терапия в жизни | Логинов Константин
@loginovkostya · 12,445
#48
Кристина Ульянова ПСИХОЛОГ
@ulianovapsy · 634
#49
Бренд эксперта
@Uverennost_Beseda · 331
#50
Большой коучинг с Домброван
@MariaDombrovan · 7,981
#51
Заметки супервизора
@supervisoregorovapsy · 2,555
#52
Валера Гут | Ψ и AQ
@gutvaleriy · 29,181
#53
Соткана солью, нежная 🤍
@belkinairina · 4,268
#54
Mikhail Saidov
@MikhailSaidov · 54,694
#55
Мари, ну что?
@mari_vse · 18,528
#56
Юра Мурадян
@ymuradyan · 39,275
#57
Полина Гавердовская | структура психотерапии и всякое
@polina_gaverdovskaya · 12,212
#58
vera_churina
@churinave · 9,053
#59
Искусство быть никем
@tyt_takoe · 230
#60
«Комната отдыха» Тони Штольц
@tonishtolz_room · 1,270
#61
Реальность интересует?
@neurascope · 1,094
#62
Александр Рязанцев !Психолог -консультант! Расстановки
@aryazantcevru · 1,025
#63
Академия коучинга
@styleoflifeacademy · 464
#64
КОНТЕНТ ДЛЯ ПСИХОЛОГА |ПОСТЫ,СТОРИС,РИЛС
@storis_psy · 10,917
#65
OPEN HEARTS❤️
@OpenHearts_OKochergina · 609
#66
Veronika14
@veronika14 · 62,564
#67
Макс Пестов / Ничего Нет
@yasnijsokol · 6,416
#68
Пневма Институт
@pneumainstitute_ru · 5,317
#69
Евгения Немкова| Психолог| Расстановщик
@Nemkova_vmeste · 1,063
#70
Школа смыслов
@shkola_smyslov · 3,737
#71
Логово Льва 🦁
@logovo88 · 548
#72
Дубынина 🍒
@slushaya_serdcem · 2,685
#73
Женя ДВИЖЕНИЕ В TG✨
@zhenyavdvizhenii · 1,108
#74
Анна Спивак|Обучаю профессии женский коуч
@womens_coaching_school · 971
#75
Ирина Бродникова | Бизнес-психолог
@brodnikova_psy · 308
#76
Звезданутым с добрым утром!
@astro_lesya · 5,716
#77
Денис Сенников | Жизнь как она есть
@denissennikoff · 6,084
#78
Институт AQ
@aq_institute · 4,550
#79
Другая жизнь | Инал Белгороков
@insidebelgorokov · 1,531
#80
МИГ | Международный Институт Гештальта
@institute_of_gestalt · 1,522
#81
Пекарская. Гештальт.
@vp1by · 1,855
#82
Институт «Иматон»
@institutimaton · 4,758
#83
🤪 Неправильный психолог
@sskarpov_psyclub · 2,329
#84
Мастера игры
@muradyangames · 5,817
#85
Склярова Марина officials
@sm_woman · 5,187
#86
психоаналитическое бюро
@alyona_vdo · 355
#87
Gestalt.ru события
@gestalt_events · 9,881
#88
Финансовая стратегия | Азат Халимов
@azatkhalimov · 1,366
#89

Read from Telegram’s recommendation API, most recently 9 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.

Наташа Жукова.Рядом 🫂
@zhukova_ryadom · 28,164
Telegram ranks this channel #2 of 93 here — alongside 92 others — read 9 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Наталья Жукова²” (@NatalliaZhukova2), 49,671 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/NatalliaZhukova2.

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.