Channel
@mari_feng
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
950subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001618402935 |
|---|---|
| Type | Channel |
| Username | @mari_feng |
| Created | Between 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/mari_feng |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 00:49 | 950 | no change |
| 7 Aug 2026, 17:17 | 950 | first reading |
20 posts held, back to 3 September 2025 — the 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.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 31 May 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 8 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 5 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.
365 reactions across 14 posts, in 13 distinct kinds. The most used accounts for 54.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 197 | 54.0% | |
| 👍 | 59 | 16.2% | |
| 🔥 | 55 | 15.1% | |
| 💯 | 29 | 7.95% | |
| 👏 | 7 | 1.92% | |
| 🤔 | 6 | 1.64% | |
| ✍ | 3 | 0.822% | |
| 😱 | 3 | 0.822% | |
| 🤯 | 2 | 0.548% | |
| 👎 | 1 | 0.274% | |
| 😢 | 1 | 0.274% | |
| 🥰 | 1 | 0.274% | |
| 🥴 | 1 | 0.274% |
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 14 of the 20 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 365reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 3 September 2025 to 31 May 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.
ПЕРЕХОД 79 — продолжение Недавно в Whole Foods в Риджвуде столкнулась с когда-то очень близкой подругой, с которой нас развела жизнь лет на 20... Она доктор из Москвы, в Америке много лет работала в Файзере в отделе борьбы с последствиями от файзеровских медикаментов — с одной стороны, искренне помогая пострадавшим, а с другой стороны, защищая интересы своего работодателя. — Какая удивительная встреча. Я здесь, в э…
👍18💯7❤6😢1
И здесь уместно сослаться на премилый футуристический сюжет «Степфордские жёны» (The Stepford Wives, 2004) с Николь Кидман и Мэттью Бродериком. Суть в том, что группа обеспеченных мужей, принадлежащих к одному закрытому элитарному клубу, перепрограммирует своих жён в послушных роботов. Ничего нового — исторически власть имущие всегда хотели иметь послушных рабов... да и мужья своих жён зачастую тоже :)) Но это лишь …
🔥35👍14❤11
Photo, posted without a caption
❤16🔥4
ПЕРЕХОД 79 — продолжение Про AI в переходной теме уже писалось не раз, и даже до нее — про Трансгуманистический конгресс, который организовала в Линкольн-центре в 2013 году на Манхэттене... Но сегодня мы уже ушли очень далеко от тех наивных дискуссий. В данный момент мы все, тем или иным боком, являемся пользователями AI — или вы гуглите что-то, или сидите плотно в ChatGPT, Perplexity, Claude, Gemini, Grok, Copilot…
❤39💯19👍4✍3🤯1🥰1
Photo, posted without a caption
❤17🤔1
ПЕРЕХОД 79 Переходную тему не писала достаточно давно, по многим причинам. Назову две. Во-первых — очень сложно совмещать то, что я делаю с feng shui (повышение и утончение вибраций), с заныриванием в клоаки человечества. Но именно это я делала для себя лично, из собственных исследовательских соображений, долгие годы. Кто читал эту серию, знают, что я на страже где-то с 2001 года, пытаясь свести свои личные пазлы н…
❤49👍9🔥3👎1
Photo, posted without a caption
❤24🔥3
Еще раз про искусственный интеллект, но уже с другого бока. Помните мои ранние посты на эту тему и к чему это может привести. В основном я писала об этом в своей переходной серии, но и отдельные заметки у меня были — когда я была, можно сказать, инсайдером, коммерческим директором Всемирного конгресса по трансгуманизму, который прошёл в Нью-Йорке в Линкольн-центре в 2013 году. Эти посты в ленте — отматывайте, там где…
❤21🤔5😱2
Уверена, что с текстом и с имиджами AI обучится. Но всё равно полевые настройки считываются, и от AI-текстов иногда начинает подташнивать. Тогда очарование заменяется чисто прикладными функциями — а настоящий человеческий разговор по душам начинает приобретать совсем другую ценность. И, возможно, именно в этом и будет главный парадокс будущего: чем умнее становятся машины, тем дороже становится простое человеческое …
👍13❤11💯3🥴1
Photo, posted without a caption
🔥10❤1
Disturbing videos of a breeding ground for one of the world's deadliest viruses may reveal how a future pandemic could leap from animals to humans. For the first time, cameras in Africa captured a 'dynamic network' of wildlife interacting with thousands of infected bats believed to be carrying the Marburg virus, which is a rare but extremely dangerous disease that belongs to the same family as Ebola. The new videos r…
❤2
Celebrities secretly take Adrenochrome. It is delivered in sets of three, inside little silver caskets shaped like the pineal gland. If they stop taking it, they rapidly begin ageing. 🩸 🜂 Hidden Truth Not everything hidden is lost
👍1
Showing the 12 most recent of 20 posts we hold for @mari_feng. 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.
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.
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.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“Mari_Feng” (@mari_feng), 950 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/mari_feng.
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.