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Channel

НЛПерец🌶

@nlp_moscow

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

431subscribers

-5 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002040327565
TypeChannel
Username@nlp_moscow
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/nlp_moscow

Growth

431436433.57 August 2026 — 436 subscribers8 August 2026 — 436 subscribers14 August 2026 — 431 subscribers7 August 202614 August 2026
3 measurements spanning 7 days, net -5. 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 430–437 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 16:44431-5
8 Aug 2026, 05:16436no change
7 Aug 2026, 12:35436first reading

Engagement

15 posts held, back to 28 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
21.2%
avg views ÷ 431 subscribers
Avg views / post
91.4
7 posts measured
Reaction rate
8.28%
reactions ÷ views · ER floor
Posts in window
7
of 15 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 7 August 2026
Posts held15 (28 May 20267 August 2026)
Views total640
Reactions total53
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:16 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
1m 13s
Average length
37s

Measured directly from 2 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

140 reactions across 15 posts, in 6 distinct kinds. The most used accounts for 41.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥5841.4%
3122.1%
👍2920.7%
😁117.86%
💯75.00%
🤣42.86%

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 15 of the 15 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 140reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 28 May 2026 to 7 August 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

7 Aug 2026, 15:22 UTC46 views5 reactionsread 8 August 2026
Photo

Я не курил сигареты 3 года. Не пил алкоголь 6 месяцев.. Перестал есть сладкое, мучное и молочку... Еще немного и моя аура радостно засияла бы после такого зожного детокса... НО! тут случился мой отпуск в Бурятии и все мои аскезы слетели в течении недели... Ну что ж, по возвращению в Москву будем всё восстанавливать по новой... Бывало у вас такое? Расскажите про свой опыт срывов и как восстанавливались потом. А сле

😁5

5 Aug 2026, 14:41 UTC52 views6 reactionsread 8 August 2026
Forwarded from @peregovory_nlpPhoto

А вот и наша Афиша на ближайший месяц 1️⃣2️⃣ августа - Переговорные поединки, м. Тульская Стоимость участия - 1500 руб. при оплате на этой неделе, 2000 - на следующей неделе, 2500 - в день проведения игры 1️⃣9️⃣ августа - Игра про отношения "Раппорт", м. Таганская Стоимость участия - 1500 руб. при оплате на этой неделе, 2000 - на 2-й неделе, 2500- 3-я неделя, 2800 - в день проведения игры 2️⃣6️⃣ августа - Денежны

🔥4👍2

5 Aug 2026, 14:41 UTC64 views1 reactionsread 8 August 2026

а я вернулся в Москву и начинаю разгоняться) ну и разгонять свои мероприятия ессно ;)

1

3 Aug 2026, 13:46 UTC94 views2 reactionsread 8 August 2026

Хороший пример в картинке снизу: 🔹отзеркаливания 🔹Раскрутка "Применение к себе" ✓ Идея этой раскрутки состоит в том, что иногда человеку свойственно противоречить самому себе и своим же убеждениям. ✓ Вопросы, которыми нужно задавать, чтобы подготовить такую раскрутку - Насколько человек сам отвечает критериям, которые закладывает в свое убеждение или суждение? - Соответствует ли собеседник тому, что говорит? Соб

👍2

3 Aug 2026, 13:46 UTC87 views12 reactionsread 8 August 2026
Forwarded from @golozhopik01Photo

Переписки на сайтах знакомств всё о том же.

😁5🤣4💯2👍1

27 Jul 2026, 08:09 UTC140 views5 reactionsread 8 August 2026

кстати, решил провести переговорные поединки и в Улан-Удэ в партнерстве с бурятским представительством Опора России Если вдруг кто в Улан-Удэ, милости просим - https://t.me/peregovory_nlp/191

🔥5

25 Jul 2026, 08:23 UTC157 views22 reactionsread 8 August 2026

Как общаются в регионах или искусство избегать провоцировать скандалов Сейчас я нахожусь в длительном отпуске в Улан-Удэ. Город потрясающий, но в первые же дни я стал невольным свидетелем того, как местные жители общаются друг с другом в самых простых бытовых ситуациях. И, честно говоря, уровень агрессии в коммуникациях меня поразил. И если раньше бы я просто не обратил внимания или же даже расстроился из-за такого

👍9🔥94

30 Jun 2026, 11:11 UTC232 views12 reactionsread 8 August 2026

Для большей части манипуляций и приемов психологического воздействия я различаю 3 вида базовых защит: Для начала важно понимать,что большинство опытных манипуляторов осуществляют свои воздействия довольно-таки мягко, под видом невинной шутки, небрежного замечания, попутной фразы в водопаде слов. И вроде бы докопаться не до чего, но тем не менее в моменте вам может стать неприятно. А может даже и не стать, только по

🔥8👍31

28 Jun 2026, 12:09 UTC200 views15 reactionsread 8 August 2026
Photo

- "ты чего наделал, энэлпер! Ты человека поломал!" В ближайшее время не планируется каких-то тренингов, поэтому в этом канале будут только мои рассуждения и наблюдения, без рекламы😉 А теперь, ситуация👇 На перерыве во время тренинга, одна девушка попросил показать пример психологического воздействия из боевого НЛП. Я показал один пример. Мой товарищ, тоже НЛП-мастер, добавил свой пример. И вдруг человек заплакал

12👍2🔥1

16 Jun 2026, 13:59 UTC237 views21 reactionsread 8 August 2026
Photo

ну что, с днем рождения меня, мои хорошие😃 обычно на свой др я пишу какой-то глубокомысленный текст, но в этом году не хочется. нет какого-то внутреннего отклика на разные мудрости.. 🤪может быть я отупел за год? 🤪соцсети и короткие видео окончательно убили способность к deep thinking? 🤨 а может быть это внутренний запрос на упрощение и минимализацию? мол, хватит уже строить из себя всезнающего эксперта и пора побыт

🔥165

15 Jun 2026, 10:27 UTC181 views3 reactionsread 8 August 2026
Forwarded from @nlpcenterpliginVideo

Video, posted without a caption

1👍1🔥1

15 Jun 2026, 10:27 UTC168 views7 reactionsread 8 August 2026

В воскресенье вышел на новую ступень своего развития - поучаствовал в качестве принимающего Мастера на аттестации будущих НЛП-мастеров. интересный опыт, всё-таки с Мастеров намного больше спроса чем с Практиков. Кандидат должен уметь: 🔹калибровать и отзеркаливать метапрограммы 🔹уметь мастерски использовать раскрутки (Фокусы языка) 🔹диагностировать пациента 🔹разработать авторскую технику по "лечению" симптома 🔹продем

🔥4👍21

Showing the 12 most recent of 15 posts we hold for @nlp_moscow. 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.

Citation-graph rank

Citation-graph rank — 443,764 of 1,549,376entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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.

Named by

Channels on the register whose posts name this channel's handle.

Names

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

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

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 14 August 2026 — this entry's latest reading, not the date you are reading this.

“НЛПерец🌶” (@nlp_moscow), 431 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/nlp_moscow.

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.