Channel
@neurogastro_impulsive
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
3,928subscribers
-5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001621119357 |
|---|---|
| Type | Channel |
| Username | @neurogastro_impulsive |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 18 August 2026 |
| On Telegram | t.me/neurogastro_impulsive |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Aug 2026, 11:33 | 3,928 | -3 |
| 15 Aug 2026, 01:38 | 3,931 | -1 |
| 11 Aug 2026, 08:52 | 3,932 | -1 |
| 7 Aug 2026, 17:02 | 3,933 | no change |
| 7 Aug 2026, 16:50 | 3,933 | first reading |
16 posts held, back to 24 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 3 pagesof 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. It is computed over the 15 of 16 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 16 (24 July 2026 – 8 August 2026) |
| Views total | 7,563 |
| Reactions total | 234 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 05:48 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.
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.
234 reactions across 15 posts, in 8 distinct kinds. The most used accounts for 60.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 142 | 60.7% | |
| 👍 | 53 | 22.6% | |
| 🔥 | 27 | 11.5% | |
| 🥰 | 6 | 2.56% | |
| 💯 | 3 | 1.28% | |
| 🎉 | 1 | 0.427% | |
| 👏 | 1 | 0.427% | |
| 🙏 | 1 | 0.427% |
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 16 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 234reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 24 July 2026 to 8 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.
Настроение наводить порядок не только в организме, но и в квартире 🥰 Тот момент, когда раньше в твоей жизни были только рабочие проекты и спорт, а теперь ты с интересом наблюдаешь за новой версией себя, у которой в приоритете вкусные завтраки, уют в квартире и организация пространства 🥹
❤1
Ремонт и предстоящий переезд забрал всё моё время и последние нервные клетки 🤪 С трудом получается хотя бы раз в неделю приезжать к Ливерпулю 💛 Всё остальное на паузе - тренировки, рабочие проекты, клиенты, иногда даже сон и сбалансированное питание 🤦♀️
❤10
Самая частая ошибка - желание изменить близкого человека быстрее, чем он готов меняться И часто нам кажется, что чем настойчивее мы будем объяснять, убеждать и контролировать, тем быстрее увидим результат И вместо того чтобы сохранить отношения, мы начинаем бороться за собственную правоту И именно в этот момент многие начинают платить цену конфликта: разговоры о здоровье превращаются в споры и конфликты, забота - …
❤20👍4💯3
Близкие люди гораздо легче принимают изменения, когда видят их как естественную часть вашей жизни и вашего личного примера, а не как очередную попытку их перевоспитать и что-то им навязать
❤18
Удивительно (или нет), но самым популярным запросом от вас оказалась тема психологии отношений (с близкими людьми и клиентами) и психологии изменений - как сохранить отношения с близкими, когда вы сами уже встали на путь заботы о здоровье и очень хотите помочь тем, кого любите, при этом не испортив отношения Предыдущий пост и подкаст собрал большое количество реакций и откликов И действительно, порой самое сложное …
👍17🔥5
Политика страуса - это не всегда отсутствие знаний Иногда человек прекрасно понимает все риски, но эмоционально цена столкновения с реальностью кажется ему выше, чем цена бездействия Если взрослый человек понимает информацию, слышит аргументы и все равно выбирает ничего не делать - это его ответственность Мы можем поддержать и предложить помощь Мы можем помочь увидеть, что цена бездействия может быть выше, чем диск…
👍18❤11🔥3👏1🙏1
Можно ли помочь близкому человеку, которому не нужна ваша помощь?
❤14🔥2🎉1
Можно побольше про психологию? 🤗 вообще обо всем, вы интересно рассказываете ❤️ Например, человек не хочет сдавать анализы, но это не совсем посторонний человек (поэтому махнуть рукой не хочется) и еще далек от медицины и не понимает, что политика страуса тут работает против нее. Есть боли в желудке, изжога, похудела сильно, хотя не было лишнего веса... короче надо идти к врачу и сдавать анализы, но не хочет.. Еще ин…
👍2
Сегодня был поздний завтрак, заработалась немного с утра 🤪 Протеиновые вафли на муке из зеленой гречки и сорго с добавлением клетчатки Сверху творожный сыр, яичница на низких температурах и слабосоленый кижуч плюс авокадо
❤19🔥13
Posted without readable text
❤6
Если вдруг вы меня потеряли, то я ушла в проект по лаб диагностике 🔬 Сегодня записала 2 больших подкаста про референсные значения и оптимальные показатели, про грамотный подход в интерпретации анализов 🔥 А завтра проведем сессию вопрос-ответ для участников и со следующей недели начнем погружаться в процессы на уровне биохимии и разбирать различные показатели в анализах 😍 Присоединиться к проекту можно в любой моме…
🥰6❤4
Присоединиться к проекту можно в любой момент по ссылке https://s.salebot.pro/r/lab_diagnostics_1 Но для тех, кто хочет задать свои вопросы к сессии вопрос-ответ (мы ее проводим бонусом для ранних пташек) - да, сегодня последний день
❤6
Showing the 12 most recent of 16 posts we hold for @neurogastro_impulsive. 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 — 285,455 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.
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 2 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.
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.
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 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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“Инна Павлова | Архитектура жизни” (@neurogastro_impulsive), 3,928 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/neurogastro_impulsive.
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.