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Channel

Практическая психология для женщин - PSY-инженерия. Официальный канал Марты Николаевой-Гариной

@marta_ng

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

23,335subscribers

-1,134 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001089505825
TypeChannel
Username@marta_ng
Description🎁🎁🎁 СЕАНС В ПОДАРОК «ТОТАЛЬНОЕ ОМОЛОЖЕНИЕ ОРГАНИЗМА» https://t.me/marta_ng/4458 💛 Работающие психотехники и лайфхаки, проверенные за 15 лет практики Магазин технологий и сеансов "Marta-NG" https://marta-ng.com/?utm_campaign=telegram
CreatedBetween 1 September 2016 and 30 September 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held63
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/marta_ng

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 10 August 2026 and assigned it the closest of 31 fixed categories, at 98% 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.

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 in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. 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
@psychological_journal/856616 Jul 2026, 05:00 UTC@marta_ng/10753 · this entry16 Jul 2026, 05:00 UTC1.00under a minute
@psychological_journal/869510 Aug 2026, 07:00 UTC@marta_ng/10882 · this entry10 Aug 2026, 07:00 UTC1.00under a minute
@psychological_journal/875620 Aug 2026, 04:00 UTC@marta_ng/10943 · this entry20 Aug 2026, 04:00 UTC1.00under a minute
@psychological_journal/891312 Sept 2026, 14:00 UTC@marta_ng/11100 · this entry12 Sept 2026, 14:00 UTC1.00under a minute
@psychological_journal/895318 Sept 2026, 14:00 UTC@marta_ng/11140 · this entry18 Sept 2026, 14:00 UTC1.00under a minute
@psychological_journal/92943 Nov 2026, 07:00 UTC@marta_ng/11481 · this entry3 Nov 2026, 07:00 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@psychological_journal135 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (130–5)

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. 5 of the 5 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 493 comparable posts for this entry, running 15 July 2026 to 11 November 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).

Of the group of 2 channels, the one whose matching posts we hold earliest is @marta_ng — 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 12 November 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.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim 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

23,33524,46923,9026 August 202611 November 2026
63 measurements spanning 97 days, net -1,134. 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 23,165–24,639 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)SubscribersChange
11 Nov 2026, 22:2123,335-12
9 Nov 2026, 23:1423,347+4
8 Nov 2026, 13:0123,343-5
7 Nov 2026, 09:2923,348+1
6 Nov 2026, 08:2623,347-3
4 Nov 2026, 04:5923,350-2
3 Nov 2026, 07:3823,352-2
2 Nov 2026, 05:4823,354-73
1 Nov 2026, 02:2023,427-163
30 Oct 2026, 23:2823,590-176
29 Oct 2026, 20:4823,766-158
28 Oct 2026, 23:4123,924-159
27 Oct 2026, 20:1924,083-26
26 Oct 2026, 16:4624,109-18
25 Oct 2026, 19:1724,127-38
24 Oct 2026, 16:0624,165-25
23 Oct 2026, 16:5524,190-19
22 Oct 2026, 20:1124,209-12
21 Oct 2026, 14:2124,221-5
20 Oct 2026, 13:1624,226first reading

Engagement

494 posts held, back to 15 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 128 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.979%
avg views ÷ 23,335 subscribers
Avg views / post
228
165 posts measured
Reaction rate
2.15%
reactions ÷ views · ER floor
Posts in window
165
of 494 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 138 of 165 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 11 November 2026
Posts held494 (15 July 2026 – 11 November 2026)
Views total37,694
Reactions total689
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Nov 2026, 02:44 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
≈2,290
Videos
≈410
Links
≈4,270

Lifetime counters from Telegram’s own channel header, read 12 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.

Reaction mix

2,281 reactions across 406 posts, in 9 distinct kinds. The most used accounts for 59.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,35859.5%
👍70330.8%
❤‍🔥873.81%
🥰763.33%
🔥371.62%
💯130.57%
👏40.175%
😱20.088%
😍10.044%

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 410 of the 494 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 2,281 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 494 most recent posts we hold, published 15 July 2026 to 11 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 165 posts held from the last 30 days (0%) 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).

11 Nov 2026, 14:00 UTC220 views6 reactionsread 12 November 2026

​​Пауза на Слово дня делает длинный день легче Пауза, после которой дела идут легче ___________________________ Длинные дни утомляют не столько объёмом дел, сколько отсутствием пауз: внимание работает без передышки. Несколько минут над Словом дня дают мозгу такую передышку. Задача меняется, нагрузка распределяется по-другому, и к делам вы возвращаетесь посвежевшими. ✦ За разгаданное слово — гарантированный подарок…

👍4❤2

11 Nov 2026, 12:00 UTC94 viewsread 11 November 2026

​​ЭНДО-ТЮНИНГ — по специальной цене Счастливый час: сегодня с 15:00 до 21:00 ___________________________ Только сегодня, с 15:00 до 21:00 сеанс ЭНДО-ТЮНИНГ по специальной цене Счастливого часа Гормональная оптимизация. Калибровка эндокринной системы в технике синхронизации гормональных сигналов. Эндо-Тюнинг синхронизирует гормональную систему, что отменяет (или превентивно исключает) следующие проявления: • Хрони…

11 Nov 2026, 10:00 UTC204 views1 reactionsread 12 November 2026

​​Шведы раскрыли секрет людей, которые в 70 выглядят на 45 ___________________________ Вот какое интересное исследование провели шведские учёные Йоханссон и Фальк. Они долгое время изучали один феномен, который многим не даёт покоя: медленно стареющие люди. Шведские учёные поставили вопрос так: почему одним в 70 биологически 45-48, а другие едва ползают? Выяснилось: всё дело в восприятии собственного возраста. Учас…

👍1

11 Nov 2026, 09:00 UTC201 views2 reactionsread 12 November 2026

​​Сеансы, подобранные под ваше состояние Не наугад, а по результату ___________________________ Сеансы, подобранные под ваше состояние Выбрать сеанс из большого каталога непросто, особенно когда неясно, с чего начинать. «Цветовой тест» решает эту задачу: он определяет текущее состояние и подбирает сеансы точно под него. Так коррекция начинается с того, что действительно важно сейчас. Какой цвет притягивает вас сил…

👍2

11 Nov 2026, 07:00 UTC208 views3 reactionsread 12 November 2026

​​Нейро-мист: мгновенная распаковка обаяния Нейрогенная сессия с дневным кремом ___________________________ Все люди обаятельные. Обаяние – это опция, встроенная в каждого из нас от рождения. Посмотри на детей – ведь нет же среди них тех, кто не фонтанирует обаянием. Куда оно потом девается? Вот точный адрес, куда сливается наше сверкающее обаяние: нейронная программа защитного реагирования. Незнакомая обстановка, …

❤2👍1

11 Nov 2026, 06:00 UTC208 views5 reactionsread 12 November 2026

​​✨ Нейро-Руна | Ваш утренний ритуал на сегодня, 11 ноября Как подсказать мозгу, что важно сегодня ___________________________ Мозг замечает то, что считает важным, и пропускает остальное. Что именно важно сегодня, ему можно подсказать с утра: полминуты с Нейро-Руной дня — и ретикулярная формация настроит фильтр внимания на нужные вам события. ВЫТАЩИТЬ НЕЙРО-РУНУ ────────────── P.S. Обратите внимание! На сайте раб…

👍5

11 Nov 2026, 05:00 UTC213 views2 reactionsread 12 November 2026

​​Сколько вам лет на самом деле: тест на биологический возраст Узнайте, насколько ваш истинный возраст соответствует цифрам в паспорте ___________________________ Отказать неловко, промолчать проще, сделать «как принято» спокойнее. Каждая такая уступка — мелочь, но вместе они решают, кто на самом деле управляет вашей жизнью. Тест на личные границы покажет, кому вы незаметно её отдали — родителям, близким, чужому мн…

👍2

11 Nov 2026, 04:00 UTC250 views3 reactionsread 12 November 2026

​​Маленький шепоток для большого дня Пара слов, которые меняют настрой ___________________________ Бывают дни, когда хочется опереться хоть на что-то. Шепоток — маленькая опора из слов. Короткая фраза, повторённая вслух, переключает внимание с тревожных мыслей на нужную цель, и мозгу легче держать курс. Её легко запомнить и повторить в любой момент — в дороге, перед встречей, перед сном. МНЕ НУЖЕН ШЕПОТОК ────────…

👍3

10 Nov 2026, 14:00 UTC215 views9 reactionsread 11 November 2026

​​Правила Слова дня простые, а нагрузка настоящая Простая игра, в которой ответ каждый раз приходится искать ___________________________ Полезная умственная нагрузка не обязана быть сложной. Важнее, чтобы задача была посильной и требовала настоящего поиска. В Слове дня правила понятны с первой попытки: пять букв, а цвет клетки показывает, угадана ли буква. А вот ответ каждый раз приходится искать, и именно этот пои…

❤8🥰1

10 Nov 2026, 12:00 UTC106 viewsread 10 November 2026

​​⏰ Счастливый час: ТОРПЕДО-ПЕРЕХВАТ 10 ноября · с 15:00 до 21:00 · специальная цена ___________________________ Только 10 ноября, с 15:00 до 21:00 — «ТОРПЕДО-ПЕРЕХВАТ» по специальной цене Счастливого часа. Экстренный SOS-протокол для применения при острых состояниях: • Обострения хронических заболеваний • Острые вирусные инфекции • Острые отравления • Сеанс весьма эффективен в условиях эпидемий, как профилакти…

10 Nov 2026, 10:00 UTC303 views2 reactionsread 12 November 2026

​​По большому секрету: твой мозг не знает, сколько тебе лет ___________________________ Смотри, как в науке бывает. Ещё недавно учёные считали, что после 25 лет нейроны только и делают, что гибнут пачками, а связи между остающимися в живых ослабевают. Теперь доказано обратное: наш мозг нейропластичен - способен создавать новые нейроны в любом возрасте. Верить нужно второму, потому что первое было гипотезой, второе д…

❤1🥰1

10 Nov 2026, 09:00 UTC186 views3 reactionsread 11 November 2026

​​Цветовой тест: самонаблюдение без самокопания Взгляд на себя без лишних усилий ___________________________ Цветовой тест: самонаблюдение без самокопания Самокопание утомляет: мысли ходят по кругу, а ясности не прибавляется. «Цветовой тест» устроен иначе — он даёт короткий и точный срез состояния без долгого анализа. Остаётся только выбрать, с чего начать мягкую коррекцию. Какой цвет притягивает вас сильнее остал…

❤2👍1

Showing the 12 most recent of 494 posts we hold for @marta_ng. 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 recorded as deleted after publishing

We recorded 5 posts on @marta_ng as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
7 August 2026
Most recent seen missing
7 August 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
0

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

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.

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.

ЖенСовет - прикладная психология для женщин. Официальный канал Марты Николаевой-Гариной
@psychological_journal · 6,778
#1
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#2
Александр Свияш
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#3
Сергей Загородников
@zagorodnikovnews · 4,224
#4
Счастье там, где Ты
@KumaKardiac · 455 (as read 16 September 2026)
#5
Проект Строим Свою Жизнь Сами 💰
@WaterfallMoney · 2,831
#6
Ключи Мастерства
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#7
🔥 PsyМаркетинг c Еленой Александровной
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#8
Анна Матари | Профессия психолог-консультант
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Осознанные люди
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#10
Андрей Антонов - НейроШифт ❤️💚💙
@andreiantonov888 · 8,907
#11
Слова Изобилия 🗝
@slova_izobiliya · 13,392
#12
Абсолютное Расширение
@absolut_zoom · 7,063
#13
Кирилл Максимов
@kev_official · 14,587
#14
ОЛЬГА ИГНАТЬЕВА | CONTEST PR
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#15
ГипноМама&Психотех
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#16
Ирина Лита( Улитина)/Ароматы со смыслом и биохакинг
@metasensor · 1,645
#17
simoron_magic_telegram
@simoron_magic_telegram · 6,042
#18
"Цель-N-Ость"- переход на новый уровень
@psihologiauspeha · 712
#19
Институт психологии творчества Павла Пискарёва
@metamodern_ipc · 5,795
#20
Юлия Ивлиева
@amelisoul_master · 101,905
#21
Дарья Оболенова: Психология
@obolenov · 71,050
#22
Арт-Код Молодости|Светлана СоковикОва
@versiatvoia · 1,032 (as read 16 September 2026)
#23
Трансерфинг работает?!
@transerf_real · 18,548
#24
2️⃣ Inna Tliashinova |ТРЕНАЖЕРЫ ДЛЯ ПОДСОЗНАНИЯ!
@trener_podsoznanie · 47,043
#25
Виктория Миненкова | Честная эзотерика
@ezo_vm · 3,964
#26
Академия долголетия и богатства | Татьяна Панюшкина
@academy_panushkina · 6,714
#27
Светлана Тишкова| ЖЕНСКИЙ КАПИТАЛ
@silaKnig · 9,542
#28
Татьяна Мужицкая и все-все-все
@muzhitskaya · 162,311
#29
Ада Кондэ - личный канал - Ada Conde
@Adaconde1 · 123,617
#30
Нейро-Стратегический коучинг для жизни и бизнеса с Ириной Михалициной
@irinaleadercoach · 1,514
#31
Мара Боронина | IZI ПРОСТРАНСТВО 22 УРОВНЯ
@svflamen · 41,732
#32
Рисую✨будущее, веду к благополучию🍀
@printinghappyness · 322
#33
ЕКАТЕРИНА САВЧЕНКО 🅿️Ⓜ️
@ispeakmlm · 6,106
#34
Законы подсознания 🧠 с Дмитрием Калинским
@dmitrikalinski · 3,840 (as read 16 September 2026)
#35
Гормональная йога de la Femme
@schooltatianaelle · 1,030
#36
Позитивная жизнь с Ризидой 💃✨🔥
@neurorizida · 538
#37
Юлия Стешина. Психолог. Специалист по психосоматике. Телесный терапевт.
@Julia_Steshina_Psychosomatika · 999
#38
МОЗГ: Нейросети, ИИ, ChatGPT 🧠 NeuroWay
@YourBrainDaily · 380
#39
НейроГрафика с Автором
@NeurograficaOfficial · 41,506
#40
Виктория Аноприкова
@klyuch_k_izobiliyu · 4,125
#41
Кучерявые мысли Марии Хрипко́вой
@curlybrain · 6,365
#42
МАГИЯ ПСИХОЛОГИИ СЕТЕВОГО БИЗНЕСА с Раисой
@raisabogataya_psymlm · 5,191
#43
Руны. Таро. Про жизнь | Алория Собинова | Беркания
@berkaniyacenter · 10,538
#44
Татьяна Жеребцова
@tzherebtsova · 3,079
#45
BOLSUN LIFE 🟢
@bolsunlife · 1,034
#46
Марияна Анаэль
@anael_numerolog · 68,970
#47
Полина Сухова. Переход в 5 D Измерение.
@Transitiontothe5D · 40,743
#48
Мир нейросетей - новости, обучение и заработок
@pro_ai_novosti · 49,999
#49
Юлия Воронина
@voronina8388 · 6,252
#50
Нейрографика - рисование со смыслом!
@neurografica_online · 6,028
#51
SILKWAYREIKI
@silkwayreiki · 2,209
#52
НейроМир с Ольгой Цихисели
@OlyaTsikhiseli · 1,054
#53
Психолог Елена Водяева
@elenamironenkopsy · 7,100
#54
Неванильное Небо
@nevanilnoe_nebo · 9,840
#55
Доктор Микеда. Защита от рака и психосоматика
@mikeda_bps · 4,927
#56
Эльмира Довлатова
@elmiradowlatova · 10,765
#57
Алесь Улищенко | Врач-остеопат, канд. мед. наук | Автор фейспластики
@dr_ales · 456,824
#58
Инфомаркетинг с Дмитрием Зверевым
@zverinfo · 5,925
#59
МетаГрафик. Semprericca NeuroArte. Матрица Архетипов с Марией Назаровой Семпрерикка
@maria_semprericca · 1,703
#60
ВЫБИРАЮ СЕБЯ | Психолог Элина Бревнова
@elina_bre · 2,793
#61
Переход в ТАК. Мудрость
@perexodvtak · 96,384
#62
Светлана Белова | Нумерология смысла и состояний
@sbelova_news · 2,240
#63
Татьяна Харитонова
@promasterstvo · 2,136 (as read 16 September 2026)
#64
Леди-Молодость 💃
@lady_molodost · 2,913
#65
Татьяна Ра
@chennelinger · 247
#66
Владимир Вейд с Центром Альфа Омега Плюс
@veidaio · 1,341
#67
Оксана. Со мной БОГАТЕЮТ
@svetotvorenie · 534
#68
ЧАКРЫ с Эльмирой Довлатовой
@chakry_energy · 5,813
#69
✨Цифровая психология 🤲Хиромантия🤲
@HiroMara1974 · 233
#70
Система Эльмиры Довлатовой
@dowlatowpro · 4,807
#71
🍀 Доктор Алексей Маматов
@mamatovcom · 33,567
#72
💰Сознание Изобилия | Вперёд к богатству!
@soznanie_izobiliya_tg · 8,014
#73
Евгения Карбышева. ОМОЛОЖЕНИЕ ЛИЦА/КОРОЛЕВСКАЯ ОСАНКА
@KarbyshevaRejuvenat · 1,191
#74
Подсознание ОНЛАЙН | блог гипнопсихолога
@gipnopsiholog · 3,967
#75
Ведич о медитации 🧘‍♂️
@istokguru · 9,012
#76
Ци Мень для Жизни с Юлией Ворониной
@voroninacimen · 2,840
#77
AураЛаб | Виктория Миненкова | Энергопрактик
@ayralab · 1,420
#78
ЭЗОТЕРИЯ
@ezoteriaa · 242
#79
PETRIK.ART ✨ ЗЕРКАЛЬНАЯ АКАДЕМИЯ
@petrik_art · 10,059
#80
💚 Мартина Агеева (Телеграм Феи)
@martinaageeva · 10,672
#81
Обретение силы любви
@obreteniesilylubvi · 33,111
#82
Александра Бонина | Помогаю женщинам 50+ быть здоровыми и энергичными
@a_bonina · 8,161
#83
Курс Чудес
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#84
КЛЮЧИ К СЕБЕ | Гузель Сафарова
@guzelsafarowa · 328
#85
БоГобан - Аналитический коучинг - НейроДизайн
@ipc_neurodesign · 4,706
#86
Нейроиллюстратор | Владимир Троицкий
@tve_proneuro · 2,221
#87
Обитель Ветра
@obitel_vetra · 2,778
#88
Магия Велимиры
@magicfromvelimira · 1,387
#89

Read from Telegram’s recommendation API, most recently 16 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.

Адоньева про похудение
@adonevabody · 46,810
Telegram ranks this channel #45 of 73 here — alongside 72 others — read 30 August 2026
🍀 Доктор Алексей Маматов
@mamatovcom · 33,567
Telegram ranks this channel #59 of 85 here — alongside 84 others — read 3 September 2026
Академия Ukids
@ukids_academy · 53,876
Telegram ranks this channel #60 of 86 here — alongside 85 others — read 23 August 2026
Рецепт по фигуре
@recept_po_figure · 44,919
Telegram ranks this channel #71 of 81 here — alongside 80 others — read 27 August 2026
Проходим курсы, читаем книги, тренинги и спорт
@books_and_trainings · 29,757
Telegram ranks this channel #81 of 90 here — alongside 89 others — read 8 September 2026

This channel appears in 5 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Практическая психология для женщин - PSY-инженерия. Официальный канал Марты Николаевой-Гариной” (@marta_ng), 23,335 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/marta_ng.

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.