🎙️Про то, как перестать кормить внутреннего критика (5 мин)
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Channel
@Katerinalengold
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Polls · Citations · Telegram's recommendations · Cite this entry
71,428subscribers
-171 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001138303506 |
|---|---|
| Type | Channel |
| Username | @Katerinalengold |
| Description | Рассказываю как использовать потенциал своего мозга, чтобы жить успешной и наполненной жизнью 🚀 Официальный сайт: neurointegration.org ❤️ Отдел Заботы: @NeurointegrationBot |
| Created | 8 September 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/Katerinalengold |
Other / unclassifiable — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 87% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 19:17 | 71,428 | -30 |
| 15 Sept 2026, 16:17 | 71,458 | -47 |
| 14 Sept 2026, 00:02 | 71,505 | -17 |
| 12 Sept 2026, 07:21 | 71,522 | -64 |
| 10 Sept 2026, 01:39 | 71,586 | -45 |
| 6 Sept 2026, 16:18 | 71,631 | -52 |
| 4 Sept 2026, 05:36 | 71,683 | -2 |
| 2 Sept 2026, 20:34 | 71,685 | -10 |
| 1 Sept 2026, 19:45 | 71,695 | -19 |
| 31 Aug 2026, 16:13 | 71,714 | -10 |
| 30 Aug 2026, 13:02 | 71,724 | -4 |
| 29 Aug 2026, 12:39 | 71,728 | -30 |
| 28 Aug 2026, 12:33 | 71,758 | +37 |
| 27 Aug 2026, 10:11 | 71,721 | -52 |
| 26 Aug 2026, 08:44 | 71,773 | -10 |
| 25 Aug 2026, 08:25 | 71,783 | +24 |
| 24 Aug 2026, 06:39 | 71,759 | +31 |
| 22 Aug 2026, 12:14 | 71,728 | +88 |
| 21 Aug 2026, 05:44 | 71,640 | -3 |
| 20 Aug 2026, 06:34 | 71,643 | first reading |
54 posts held, back to 10 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 107 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 25 September 2026 |
|---|---|
| Posts held | 54 (10 July 2026 – 25 September 2026) |
| Views total | 217,130 |
| Reactions total | 7,956 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 14:10 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.
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.
Measured directly from 1 video 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.
29,600 reactions across 52 posts, in 5 distinct kinds. The most used accounts for 57.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 17,065 | 57.7% | |
| 🔥 | 9,870 | 33.3% | |
| 👍 | 2,473 | 8.35% | |
| 😢 | 191 | 0.645% | |
| 👎 | 1 | 0.003% |
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 54 of the 54 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 29,723 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 54 most recent posts we hold, published 10 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.
🎙️Про то, как перестать кормить внутреннего критика (5 мин)
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Photo, posted without a caption
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🎙️ про то, как понять свои истинные ценности и приоритеты (5 мин)
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Утро четверга. 😍
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Вчерашняя встреча 😍 Мы провели 5+ часов вместе. Болтали, делились историями. Такие кайфовые люди у нас тут в сообществе. Выяснилось, что к нас много общего: мы все любим путешествовать, есть и гулять. Как наподбор😅 Многие приехали/прилетели из других городов. На улице было прохладно, но нам было тепло вместе (плюс мы навизуализировали жаркий день в формате спасателей малибу в chatgpt😝).
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Про встречу сегодня в Калифорнии: 1. Встречаемся в 16:00 на Carmel River Beach. Там есть парковка бесплатная, но мест не очень много, возможно придется парковать на ближайших улицах, но в целом в этой части Кармеля гораздо лучше с парковкой, чем в самом центре. 2. Берите с собой пледы/коврики. Я захвачу несколько штук. Советую взять что-то теплое, у океана ветерок всегда. Еще планирую прихватить немножко ягод/фрукт…
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Кажется, это моя самая короткая стрижка с детских времен. И я так кайфую. 😍 Чувствую себя другим человеком. В психологии даже понятие есть такое enclothed cognition. Одежда, макияж, укладка влияют на поведение. В костюме лучше концентрация внимания, а в трениках — чаще срываешься на вредную еду. (Есть любопытные исследования на этот счет — если интересно погуглите статью Adam & Galinsky в journsl of experimental s…
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Встреча в Калифорнии в эту субботу. Мы на этой неделе отмечаем первый юбилей Neurointegration Institute. Пять лет. И мне хочется отметить его ВМЕСТЕ. (Плюс я давно искала повод собраться в Калифорнии ☺️). Приглашаю всех, кто живет поблизости (или готов приехать/прилететь) встретиться в эту субботу в Кармеле. Устроим пикник на пляже, а потом будем гулять, знакомиться и смотреть закат. Когда: Суббота, 19 сентября …
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Video message, posted without a caption
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Моя новая кухня. 😍 Я балдею. Вроде место новое, но в нем уже сразу все как-то «обжито», тепло, уютно, по-домашнему. Сколько сюда вложено внимания и любви. Все мегаудобно расположено, уже неделю тут готовлю (а я много готовлю!), и все так эргономично и прям под меня. Пришлось переносить все коммуникации (газ, воду, канализацию) в другую часть дома, чтобы у меня получилось вот такое наполненное светом чудо. Плюс у н…
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🎧 Как впихнуть невпихуемое (10 мин) Это фрагмент сегодняшней Q&A сессии с участниками программы Neurointegration Fundamentals. Так мне понрвился кейс, что я не удержалась — и делюсь с вами фрагментом разбора. Если кратко: Цель встроить спорт в жизнь в рамках нейроспринтов. Хочется тренироваться 3 раза в неделю. С учетом дороги на каждую тренировку нужно 2.5 часа. При это в спринте на проект Фундамент лимит около т…
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Хотела предупредить, что запланированного на этот месяц бесплатного воркшопа на английском не будет. Я проведу его в октябре. Точную дату сообщу. Я устроила дома «большую стройку» — масштабный ремонт, в ходе которого всплыла куча проблем (нашему дому больше ста лет, и когда рабочие вскрыли стены и полы, повылезало много «сюрпризов»😅). Все это требует моего внимания времени — и рабочее расписание пошло по аджайлу. Ч…
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Showing the 12 most recent of 54 posts we hold for @Katerinalengold. 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.
@Katerinalengold 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.
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Отметьтесь, кто планирует в этом потоке подаваться? (Это поможет нам спланировать загрузку супервизоров, которые будут проводить собеседования🙏🏻)
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 54 most recent posts we hold, published 10 July 2026 to 25 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 9 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
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.
Read from Telegram’s recommendation API, most recently 20 August 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.
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.
This channel appears in 148 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“Катерина Ленгольд” (@Katerinalengold), 71,428 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Katerinalengold.
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.