Channel
@inessa_chwe
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Posts recorded as deleted · Citations · Cite this entry
71,593subscribers
-4,144 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001918195280 |
|---|---|
| Type | Channel |
| Username | @inessa_chwe |
| Description | 〠 создаю дом мечты в японском стиле, делюсь красивыми находками и творчеством • дыхательные практики @maku_vdoh_bot • подборка для дома @inessachwe_bot • моя одежда и находки @kinessi • сотрудничество @PR_Nessi @jsmanagerr (отвечает менеджер) |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 59 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/inessa_chwe |
Ecommerce storefront — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 22:58 | 71,593 | -25 |
| 5 Nov 2026, 02:25 | 71,618 | +45 |
| 4 Nov 2026, 00:29 | 71,573 | +5 |
| 3 Nov 2026, 00:44 | 71,568 | +113 |
| 1 Nov 2026, 22:56 | 71,455 | -54 |
| 31 Oct 2026, 21:10 | 71,509 | -89 |
| 30 Oct 2026, 17:45 | 71,598 | -51 |
| 29 Oct 2026, 15:10 | 71,649 | -68 |
| 28 Oct 2026, 13:46 | 71,717 | -66 |
| 27 Oct 2026, 14:37 | 71,783 | -60 |
| 26 Oct 2026, 11:18 | 71,843 | -16 |
| 25 Oct 2026, 10:05 | 71,859 | -58 |
| 24 Oct 2026, 06:49 | 71,917 | -72 |
| 23 Oct 2026, 07:17 | 71,989 | -66 |
| 22 Oct 2026, 10:39 | 72,055 | -59 |
| 21 Oct 2026, 06:16 | 72,114 | -103 |
| 20 Oct 2026, 04:21 | 72,217 | -36 |
| 19 Oct 2026, 03:41 | 72,253 | -77 |
| 18 Oct 2026, 05:31 | 72,330 | -31 |
| 17 Oct 2026, 03:00 | 72,361 | first reading |
92 posts held, back to 31 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 191 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 4 November 2026 |
|---|---|
| Posts held | 92 (31 July 2026 – 4 November 2026) |
| Views total | 399,280 |
| Reactions total | 25,558 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 01:54 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 6 November 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 17 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.
97,996 reactions across 92 posts, in 26 distinct kinds. The most used accounts for 11.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5321107001026033314 | 11,270 | 11.5% | |
| custom 5449732788980836559 | 10,164 | 10.4% | |
| custom 5233584874727699933 | 9,363 | 9.55% | |
| custom 5384492149855251803 | 8,529 | 8.70% | |
| custom 5449912103865444885 | 7,107 | 7.25% | |
| custom 5260410488839224153 | 6,836 | 6.98% | |
| custom 5316547652723173714 | 5,483 | 5.60% | |
| custom 5262645229042807444 | 5,021 | 5.12% | |
| custom 5269714019362573348 | 4,155 | 4.24% | |
| custom 5269605017387569446 | 4,133 | 4.22% | |
| custom 5431864805906482132 | 3,791 | 3.87% | |
| custom 5240174608690208257 | 3,380 | 3.45% | |
| custom 5323463069760770202 | 2,819 | 2.88% | |
| custom 5445121596127745004 | 2,308 | 2.36% | |
| custom 5438316959181607345 | 2,232 | 2.28% | |
| custom 5271613979750336826 | 2,132 | 2.18% | |
| custom 5384338510285142159 | 1,353 | 1.38% | |
| custom 5384473574121699690 | 1,330 | 1.36% | |
| custom 5451632448720889376 | 1,247 | 1.27% | |
| custom 5384429177044758914 | 1,031 | 1.05% | |
| 6 further kinds | 4,312 | 4.40% |
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 92 of the 92 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 97,996 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 92 most recent posts we hold, published 31 July 2026 to 4 November 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @inessa_chwe. 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 92 most recent posts we hold for this entry, published 31 July 2026 to 4 November 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.
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| 2SDnjboFZhm | 1 | 5 October 2026 | 5 October 2026 |
| 2SDnjeyDhgP | 1 | 11 September 2026 | 11 September 2026 |
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 92 most recent posts we hold, published 31 July 2026 to 4 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Telegram’s own ‘edited’ marker: 2 of 27 posts held from the last 30 days (7.41%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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конический бюстгальтер - моя любовь 🌟 такие бюстгальтеры стали особенно популярны в 50-х, их можно увидеть на Мэрилин Монро, а позже их переосмыслил Жан-Поль Готье и я считаю это было культовым решением! сшила мне эту красоту Ульяна 🪶 по промокоду нэсси для вас скидка на все изделия 🪶
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помните я рассказывала что готовлю для вас кое-что особенное? 🌳 я начала внедрять в свою жизнь дыхательные практики и да, это лучшее, что я когда либо делала для своего состояния!! 🪵⭐️ дыхательные практики помогают успокоить ум, снизить тревожность, справляться со стрессом, научиться возвращать себя в настоящий момент, а еще лучше засыпать мы с Марком подготовили для вас бесплатный курс из 7 дыхательных практик, ч…
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бренд Catrice порадовали меня невероятно красивым подарком 🪷 я очень люблю тестить их продукцию, большая часть мне всегда подходит, а еще приятно что они всегда обо мне помнят и часто радуют такими посылочками 🐱
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мы улетели на остров с моим мужем Марком и кошкой 🤩 так много вопросов про переезд в Таиланд, поэтому решила рассказать 🤩🤩🤩 🤩🤩🤩 нам захотелось сменить обстановку, попутешествовать и поближе познакомиться с местной культурой (+ в Питере я оч замерзла 🥶) почему именно Тай? Марк начал тоже интересоваться буддизмом и даже начал вести свой канал о буддизме и нашей жизни, кому будет интересно - ссылка 🔗 в Тае можно глуб…
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в последнее время активно учусь управлять своим состоянием 🤩 меньше тревожиться по пустякам, не зависеть от внешних обстоятельств и просто чаще находиться в моменте 🤩 вы уже знаете про мою любовь к буддизму и дыхательным практикам, но в последнее время я ещё глубже погрузилась в эту тему и открыла для себя столько интересного… но мне хочется не просто рассказывать вам об этом, а дать возможность попробовать самим!…
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иногда хочется просто быть частью пейзажа 🪨
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посмотрела фильм «Бурлеск» по рекомендации прекрасной девушки 🤩 эстетика кабаре мне всегда была очень близка, раньше я даже вела блог в этом стиле, где рассказывала о роковых женщинах и о раскрытии женской силы 🦋 фильм мне понравился, легкий, очень красивый и вдохновляющий, всем девушкам советую)
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Showing the 12 most recent of 92 posts we hold for @inessa_chwe. 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.
We recorded 11 posts on @inessa_chwe as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
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.
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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“нэсси” (@inessa_chwe), 71,593 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/inessa_chwe.
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.