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Channel

Профайлинг, нейротехнологии и детекции лжи

@ProProfiIing

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

23,133subscribers

-23 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-1001099422251
TypeChannel
Username@ProProfiIing
DescriptionКанал Алексея Филатова, посвященный небанальным новостям профайлинга, верификации лжи и нейротехнологий. Сайт www.ProProfiling.com Чат канала: T.me/ProProfilingChat
Created17 September 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/ProProfiIing

Topic

Education — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

23,10923,16623,137.56 August 2026 — 23,156 subscribers6 August 2026 — 23,156 subscribers6 August 2026 — 23,159 subscribers7 August 2026 — 23,157 subscribers8 August 2026 — 23,162 subscribers9 August 2026 — 23,164 subscribers10 August 2026 — 23,166 subscribers11 August 2026 — 23,161 subscribers13 August 2026 — 23,160 subscribers14 August 2026 — 23,153 subscribers17 August 2026 — 23,147 subscribers18 August 2026 — 23,148 subscribers19 August 2026 — 23,140 subscribers20 August 2026 — 23,144 subscribers21 August 2026 — 23,140 subscribers23 August 2026 — 23,139 subscribers24 August 2026 — 23,131 subscribers25 August 2026 — 23,127 subscribers26 August 2026 — 23,128 subscribers27 August 2026 — 23,124 subscribers28 August 2026 — 23,117 subscribers29 August 2026 — 23,119 subscribers30 August 2026 — 23,120 subscribers31 August 2026 — 23,114 subscribers2 September 2026 — 23,117 subscribers3 September 2026 — 23,109 subscribers4 September 2026 — 23,114 subscribers7 September 2026 — 23,119 subscribers10 September 2026 — 23,123 subscribers12 September 2026 — 23,126 subscribers14 September 2026 — 23,130 subscribers18 September 2026 — 23,133 subscribers23,1336 August 202618 September 2026
32 measurements spanning 43 days, net -23. 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 23,100–23,175 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, 09:4123,133+3
14 Sept 2026, 11:5623,130+4
12 Sept 2026, 19:1723,126+3
10 Sept 2026, 17:0023,123+4
7 Sept 2026, 16:4023,119+5
4 Sept 2026, 16:3823,114+5
3 Sept 2026, 02:3523,109-8
2 Sept 2026, 01:3523,117+3
31 Aug 2026, 23:3823,114-6
30 Aug 2026, 21:2523,120+1
29 Aug 2026, 21:1723,119+2
28 Aug 2026, 22:0623,117-7
27 Aug 2026, 23:4423,124-4
26 Aug 2026, 22:1423,128+1
25 Aug 2026, 20:1123,127-4
24 Aug 2026, 22:1723,131-8
23 Aug 2026, 05:2423,139-1
21 Aug 2026, 20:1623,140-4
20 Aug 2026, 17:2423,144+4
19 Aug 2026, 18:4523,140first reading

Engagement

56 posts held, back to 14 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 59 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.06%
avg views ÷ 23,133 subscribers
Avg views / post
939
17 posts measured
Reaction rate
2.24%
reactions ÷ views · ER floor
Posts in window
17
of 56 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 25 September 2026
Posts held56 (14 July 2026 – 25 September 2026)
Views total15,971
Reactions total357
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 01:42 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
≈2,740
Videos
≈351
Links
≈1,480

Lifetime counters from Telegram’s own channel header, read 27 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
2m 16s
Average length
34s

Measured directly from 4 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

1,486 reactions across 56 posts, in 10 distinct kinds. The most used accounts for 29.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥44029.6%
👍41728.1%
❤39726.7%
😁1016.80%
🎉624.17%
🥰382.56%
💯161.08%
😍80.538%
🤔60.404%
🤮10.067%

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 56 of the 56 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 1,486 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 56 most recent posts we hold, published 14 July 2026 to 25 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
52
across the posts below
Posts paid on
26
of 56 we hold a reading for · 46%
Most on one post
11
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ProProfiIing. 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 56 most recent posts we hold for this entry, published 14 July 2026 to 25 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

25 Sept 2026, 12:44 UTC669 views22 reactions1 Starread 27 September 2026
Video

И традиционный пятничный пост. Напоминаю, что важнейшей темой профайлинга является то, как мы воспринимаем, оцениваем и используем информацию. И с какими барьерами и особенностями мы при этом сталкиваемся. Видео демонстрирует иллюзию перспективы. Перспектива важна, но иногда – она лишь кажущаяся. Всегда оценивайте то, как текущие события повлияют на будущее, на перспективу. И не позволяйте иллюзиям в это вмешивать…

👍13❤7🔥2

Signed Aleksei Filatov

25 Sept 2026, 12:18 UTC641 views11 reactionsread 27 September 2026
Photo

📌 Вчера состоялось онлайн-занятие Алексея Филатова «Профайлинговая беседа и интервью по рискам». Занятие получилось действительно насыщенным – 3 часа практической информации о том, как с помощью правильно выстроенной беседы получать от человека гораздо больше информации, чем он собирался сообщить сам. Разбирали, как выявлять скрытые мотивы, истинные установки и потенциальные факторы риска, почему прямые вопросы дал…

🔥8❤2👍1

Signed Виктория Кольцова

24 Sept 2026, 13:47 UTC915 views16 reactionsread 27 September 2026

Кто лучше читает эмоции: мужчины или женщины? Reading the Mind in the Eyes Test. Я несколько раз писал, что мужчины в целом хуже женщин определяют эмоции по лицу. И это действительно так. Детали можно почитать здесь. Хотя у мужчин есть свои преимущества. С полгода тому назад вышел большой обзор группы исследователей под руководством мэтра Майкла Газзанигой о том, в чем же конкретно заключается разница между тем как…

👍7❤5🔥3🤔1

Signed Aleksei Filatov

23 Sept 2026, 16:11 UTC991 views16 reactionsread 27 September 2026
Photo

Вчера и сегодня - тренинг «HR-Профайлинг и эффективная оценка кандидата» для HR-сотрудников уважаемой компании. Благодарю коллег за интерес и активную работу и практику!

🔥15👍1

Signed Aleksei Filatov

22 Sept 2026, 13:28 UTC≈1,210 views10 reactionsread 27 September 2026
Photo

Большинство людей врут не со зла. Они хотят казаться лучше, статуснее или безопаснее в наших глазах, прикрываясь социальными масками. В итоге мы строим отношения, заключаем сделки и доверяем не реальному человеку, а образу, который он нам показывает. ⚡️ Цена ошибки - потерянное время, сорванные договоренности, токсичные партнерства и разочарование. 📌 24 сентября приглашаем вас на практическое занятие Алексея Филато…

❤7👍3

Signed Виктория Кольцова

21 Sept 2026, 15:04 UTC≈1,210 views16 reactionsread 27 September 2026
Forwarded from @obzhruPhoto

☎️В ЦЭПП МЧС России состоялась лекция основателя Академии профайлинга Алексея Филатова, посвященная когнитивным искажениям 🔹Почему люди переоценивают значимость начальных событий в сравнении с последующими? Преувеличивают стрессоустойчивость на основании одного позитивного примера преодоления стресса? Изменяют поведение на более дисциплинированное, когда за ними наблюдают? 🔹Эффект первенства, ошибка выжившего, хото…

❤7🔥5👍4

Signed Aleksei Filatov

17 Sept 2026, 05:57 UTC≈1,780 views134 reactions6 Starsread 27 September 2026
Photo

Сегодня нашему каналу исполняется … 10 лет! Он начинался как папка полезных материалов «для себя», а на сегодня вырос в самый большой и содержательный канал по профайлингу и детекции лжи во всем Рунете. За 10 лет мной было написано и опубликовано уже почти 5.500 постов и все они доступны для изучения! При чем подавляющее большинство из них - содержательные, практичные посты, которые позволяют вам узнать и научиться…

🎉61🔥36❤17👍11🥰9

Signed Aleksei Filatov

17 Sept 2026, 05:54 UTC≈1,430 views33 reactionsread 27 September 2026
Photo

4 дня тренинга «Профайлинг для руководителей» для уважаемой компании. Отличная интенсивная работа, теория и практика.

🔥19👍8❤4🥰2

Signed Aleksei Filatov

2 Sept 2026, 09:12 UTC624 views17 reactions2 Starsread 3 September 2026

Поздравляю всех с Днем Знаний! Вчера дети пошли в школы, студенты - колледжи, ВУЗы. День Знаний – отличный повод порассуждать о компетенциях будущего. Какие знания и навыки востребованы уже сейчас и будут востребованы в среднесрочной и долгосрочной перспективе? В 2020 году мы рассуждали на эту тему, почитайте. Но времена уже изменились. Изменились ли потребности в знаниях, умениях, навыках и компетенциях (ЗУНК), к…

👍9🔥4❤2🥰1😍1

Signed Aleksei Filatov

1 Sept 2026, 08:55 UTC828 views9 reactionsread 3 September 2026
Photo

🎓 С Днём знаний! 1 сентября - отличный повод вспомнить, что учиться новому можно не потому, что надо, а потому, что действительно интересно. И мы решили сделать этот повод ещё приятнее. 📚 С 1 по 3 сентября в Академии профайлинга Алексея Филатова действуют специальные условия на 8 обучающих программ - на 20% выгоднее обычной стоимости. В акции участвуют программы по профайлингу, психотипам, когнитивным искажениям, м…

👍6❤3

Signed Виктория Кольцова

31 Aug 2026, 15:16 UTC883 views9 reactionsread 3 September 2026
Photo

Мессенджеры, соцсети, статьи, рабочая и личная переписка стали нашей главной площадкой для коммуникации. Мы постоянно читаем чужие тексты, анализируем публикации, ведём переговоры и решаем повседневные вопросы в формате письменного общения. При этом выбор конкретных слов, длина фраз, пунктуация, эмодзи, паузы перед ответом и структура текста — это не просто случайные привычки. Это цифровой слепок нашей психики. Чело…

👍5❤4

Signed Виктория Кольцова

31 Aug 2026, 15:03 UTC814 views7 reactionsread 3 September 2026

Можно ли составить психологический портрет человека по тому, как он пишет? В профайлинге мы довольно часто пытаемся делать выводы о человеке по его речи и текстам: какие слова он выбирает, как строит предложения, насколько подробно излагает мысли, использует ли эмоциональную лексику, насколько категоричен, часто ли говорит о себе и т. д. Давайте поговорим о том, как личность отражается в тексте. В 2021 году José D…

👍7

Signed Aleksei Filatov

Showing the 12 most recent of 56 posts we hold for @ProProfiIing. 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.

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

Named by 4 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Академия исследования лжи (StudyLie)
@studylie · 4,967
#1
Профайлинг и психология | Светлана Грунина
@ano_niipp · 4,142
#2
Охотники за поведением
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#3
Илья Анищенко
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#4
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#5
Михаил Алексеев | Клуб Профайлер
@life8quest · 1,321
#6
Заметки Александра Доронина "В знании - сила" или "Бизнес-разведка 3.0 + OSINT и AI".
@vzs071 · 869
#7
Высшая школа профайлинга и верификации
@schoolprofiling · 2,224
#8
🔥Клубы мышления | Практическая философия
@mindclubs · 2,859
#9
Профайлинг.
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#10
Лебедев про мозг
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#11
Новости нейронаук и нейротехнологий
@neuronovosti · 17,788
#12
StratMen (Strategic Mentoring)
@StratMen · 775
#13
Нейроэкзистенциализм
@neuroexistencialism · 2,587
#14
Критическое мышление
@ThinkCritical · 47,236
#15
КРУТИЛИН | ДОМИНАНТА
@profilerpro · 3,396
#16
Boi diaries
@ohmyboi · 1,227
#17
Михаил Дементьев. Кинетический интеллект
@kintellect · 36,270
#18
Азбука пси-практика | Платформа NEWPSY
@newpsy_professional · 11,712
#19
Блуждающий нерв
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#20
Профайлинг Спирица
@evgenii_spiritca · 3,945
#21
Investigation & Forensic TOOLS
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#22
Social Engineering
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#23
NLP📲| НАВЫКИ БУДУЩЕГО
@transformationmind · 5,677
#24
BEHOLDERISHERE.сonsulting
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#25
Психология Маркетинга
@marketpsy · 174,202
#26
Сводки частной разведки
@rtechnocom · 18,515
#27
Центр обучения профессионалов
@centrobuchenija · 1,143
#28
BeholderIsHere Media HUB
@BeholderIsHereHub · 3,248
#29
ПсихПросвет от эксперта Ирины Макаренко
@makarenko_psi · 517
#30
Малоизвестное интересное
@theworldisnoteasy · 73,946
#31
Роман Ромачев
@romanromachev · 5,642
#32
Russian OSINT
@Russian_OSINT · 47,701
#33
Клинический психоанализ
@clinicalpsychoanalysis · 36,573
#34
OSINT mindset
@osint_mindset · 64,564
#35
Михаил Антончик НЛП
@antoncic · 2,949
#36
Канал Ольги Парханович
@olga_parkhanovich · 1,376
#37
Исследуя конкурентов
@business_cons · 4,645
#38
Мыслить как безопасник
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#39
Библиотека психология/ философия/ медицина
@biblio_psychology · 19,488
#40
Профайлинг характера | Войченко Вадим
@profiling_voychenko · 1,850
#41
ДОКТОР ЧЕ
@nil_satis_nisi_optimum · 433
#42
Тёмная сторона / Темнографика
@temno · 79,668
#43
NLPimg
@nlpimg · 1,803
#44
🌳☀️Digital-Разведка & OSINT
@DigitaIIntelligence · 8,742
#45
trEnings: задания по НЛП
@treningstask · 2,823
#46
Утечки информации
@dataleak · 119,401
#47
Елена Анюхина • Практическая психология
@psychologist_helen · 4,397
#48
Психиатрия & Нейронауки
@psy_and_neuro · 22,326
#49
PRO:PENTEST
@pro_pentest · 10,096
#50
Психопанорама
@psychopanoramahd · 11,069
#51
Dana Scully
@xbshsuwiow83 · 5,940
#52
Ассоциация Когнитивно-Поведенческой Психотерапии
@associationcbt · 14,556
#53
Будни манипулятора
@budni_manipulyatora · 7,160
#54
Intelligencia
@intelligencia_dn · 818
#55
Разговоры о страшном
@manipulations · 2,152
#56
Inside
@in51d3 · 7,996
#57
Пришел. Увидел. Оценил.
@ecopsy_assessment · 4,859
#58
Словарь психолога
@psy_term · 10,068
#59
T.Hunter
@tomhunter · 14,234
#60
Mycroft Intelligence
@mycroftintel · 20,930
#61
Юрий Мошкин. Официальный канал
@moshkin_yury · 740
#62
Пост Лукацкого
@alukatsky · 37,862
#63
Библиотека психолога
@psy_b00k · 21,884
#64
HT Lab | Лаборатория Гуманитарные Технологии
@htlab1 · 1,666
#65
Bafoмёд OSINT
@osint_san_framework · 8,984
#66
Дубынин о мозге 🧠
@dubininvaofficial · 44,350
#67
Когнитивно-поведенческая терапия CBT КПТ
@cbt_kpt · 17,285
#68
🧠 Психиатрия для психологов (МАНП)
@psyho_psy1 · 16,338
#69
Азбука психологии
@psy_a_b_c · 9,340
#70
Книжный импорт
@importknig · 35,312
#71
Монологи о безопасности
@monologi_o_bezopasnosty · 685
#72
Козлова Анна Михайловна , бизнес-тренер, профайлер
@businessprofiling · 276
#73
Провокативка
@treningsPrvk · 503
#74
Менталист
@mentalroom · 22,440
#75
В центре КПТ
@kptby · 13,558
#76
Ольга Пантелеева: записки ментора
@zapiskimentora · 5,812
#77
Codeby
@codeby_sec · 37,041
#78
Аналитический центр RPPA
@Persdata · 7,827
#79
HR-вебинары и технологии
@webinarforhr · 15,532
#80
OSINT
@osintru · 10,344
#81
Межкульт
@anthrologos · 1,119
#82
True OSINT
@trueosint · 9,751
#83
OSINT Беларусь
@osintby · 8,400
#84
RedTeam feed
@RedTeamFeed · 598
#85
Волшебник Северной традиции
@UlvNordligChannel · 598
#86
Деловой аналитик
@Adr_officiall · 242
#87

Read from Telegram’s recommendation API, most recently 19 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.

Психология
@PsyEducation · 59,345
Telegram ranks this channel #17 of 95 here — alongside 94 others — read 22 August 2026
Критическое мышление
@ThinkCritical · 47,236
Telegram ranks this channel #26 of 97 here — alongside 96 others — read 26 August 2026
Михаил Дементьев. Кинетический интеллект
@kintellect · 36,270
Telegram ranks this channel #31 of 90 here — alongside 89 others — read 1 September 2026
Менталист
@mentalroom · 22,440
Telegram ranks this channel #46 of 84 here — alongside 83 others — read 20 September 2026
Татьяна Черниговская
@tvchernigovskya · 110,510
Telegram ranks this channel #64 of 90 here — alongside 89 others — read 20 August 2026
«СУТЬ ВЕЩЕЙ» | Центр интеллектуальных практик Андрея Курпатова
@myshlenie_kurpatov · 43,168
Telegram ranks this channel #70 of 89 here — alongside 88 others — read 28 August 2026

This channel appears in 6 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Профайлинг, нейротехнологии и детекции лжи” (@ProProfiIing), 23,133 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ProProfiIing.

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.