Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 84% 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.
Growth
33 measurements spanning 43 days, net -312. 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 28,650–29,056 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
19 Sept 2026, 01:17
28,697
-67
16 Sept 2026, 14:59
28,764
-44
14 Sept 2026, 16:39
28,808
-38
13 Sept 2026, 04:57
28,846
-17
11 Sept 2026, 07:15
28,863
-7
8 Sept 2026, 14:38
28,870
-12
5 Sept 2026, 05:57
28,882
-9
3 Sept 2026, 12:36
28,891
-6
2 Sept 2026, 08:04
28,897
-6
1 Sept 2026, 08:14
28,903
-8
31 Aug 2026, 07:26
28,911
-5
30 Aug 2026, 04:35
28,916
-5
29 Aug 2026, 02:27
28,921
-2
28 Aug 2026, 03:56
28,923
-4
27 Aug 2026, 06:08
28,927
-6
26 Aug 2026, 03:14
28,933
-2
25 Aug 2026, 04:06
28,935
+2
23 Aug 2026, 22:08
28,933
-7
22 Aug 2026, 07:57
28,940
-8
20 Aug 2026, 21:33
28,948
first reading
Engagement
16 posts held, back to 29 May 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 64 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
18.2%
avg views ÷ 28,697 subscribers
Avg views / post
5,210
8 posts measured
Reaction rate
1.43%
reactions ÷ views · ER floor
Posts in window
10
of 16 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
Window
Rolling 30 days · latest post in window 20 September 2026
Posts held
16 (29 May 2026 – 20 September 2026)
Views total
41,671
Reactions total
594
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
20 Sept 2026, 07:55 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
Photos
≈2,070
Videos
≈401
Links
≈422
Lifetime counters from Telegram’s own channel header, read 20 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.
Video runtime
13s
Average length
13s
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.
Reaction mix
1,180 reactions across 14 posts, in 7 distinct kinds. The most used accounts for 50.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
590
50.0%
🔥
468
39.7%
👏
49
4.15%
😁
45
3.81%
🤯
21
1.78%
💯
4
0.339%
⚡
3
0.254%
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 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 1,180 reactions 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 29 May 2026 to 20 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.
Telegram Stars
Stars received
7
across the posts below
Posts paid on
5
of 14 we hold a reading for · 36%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Fetishparfum. 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 16 most recent posts we hold for this entry, published 29 May 2026 to 20 September 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.
Недавно в Космотеку приехал итальянский бренд Eridi Zucca, о котором я говорил еще несколько лет назад, когда он только-только появлялся. Мне давно было любопытно его попробовать, и после нескольких подходов я готов остановиться на одном аромате, который точно стоит внимания и полностью оправдал мои ожидания.
Для меня это марка в направлении и жанре Acqua di Parma. И как раз у них всегда не хватало хорошего аромата …
Дорогие друзья!
26 сентября пройдёт первый pop-up by MAF. Я буду очень рад всех вас видеть!
Чтобы всё прошло максимально комфортно, предлагаю заранее забронировать время посещения. Бронь гарантированно позволит вам попасть на мероприятие в выбранное время, даже если будет большой поток гостей. Также для гостей с бронью мы подготовили welcome drink.
Так как это наше первое мероприятие, такая система поможет нам орга…
Нанес сейчас этот аромат на запястье, смотрю на флакон и поймал себя на мысли. Каждый раз перед каким-то важным или интересным событием в жизни у меня появляется новый флакон Nasomatto.
И вот я, абсолютно обессиленный после очередного трудного дня с подготовкой моего поп-апа, просто смотрю на него. А он гипнотизирует меня своей как всегда массивной и необычной крышкой, будто безмолвно просит наконец-то записать на н…
Некоторые из вас знают, а кто-то даже пробовал продукт, который уже продолжительное время находится у меня в разработке, это мое любовное масло.
И вот сегодня в Космотеке появился бренд, о котором я грезил последние два года, это PAÑPURI. После разочарования с Eridi Zucca, на контрасте это прибытие меня особенно обрадовало.
Их композиции основаны на отельной и ритуальной тематике. Слово «расслабляющий» здесь слишком…
Подборка ароматов на осень, зиму и холодную весну – такой жанр, конечно, один из самых востребованных в моем творчестве. Ну, как вы знаете, я уже давно не делаю подборки в открытом формате.
Я подумал, что на этот год парфюмерную карту, которую я подготовил, лучше передать уже конкретно людям, которые сходятся со мной в предпочтениях, опыте и просто понимают мою селекцию.
Поскольку в преддверии моей выставки и поп-ап…
Весной гулял по парку и вдруг почувствовал запах красного вина. И поймал себя на довольно странной мысли: кажется, я уже несколько лет практически не сталкивался с ним в жизни. Настолько, что в какой-то момент вообще забыл, как оно пахнет.
⠀
Последние лет пять красное вино существовало для меня в основном как парфюмерная нота.
Знал, каким оно бывает в аромате, с чем сочетается, какой характер может приобретать, но са…
Сделал самые главные оплаты, подписал договоры и теперь могу вернуться к вам с подробностями.
Начну с графика: pop-up будет идти 4,5 часа, с 15:00 до 19:30. Думаю, нам с вами этого времени вполне хватит, чтобы увидеться, поболтать, познакомиться и спокойно послушать+понюхать ароматы.
На мероприятии будет вся линейка by MAF: пробники 2,5 мл, миниатюры 7,7 мл и, аллилуйя, флаконы 100 мл, над которыми я работал на прот…
Последние два месяца я практически не появлялся в социальных сетях, потому что полностью ушёл в работу. Мне нужно было немного исчезнуть из информационного поля и сосредоточиться на процессах, которые сейчас для меня действительно важны.
26 сентября с 15:00 до 19:30 буду ждать вас в галерее Марины Гисич в Санкт-Петербурге на первом pop-up by MAF.
Мероприятие будет посвящено моему новому аромату, над которым работал…
Один из самых удачных экспериментов на тему парфюмерии за год.
С громким названием: отвары для улучшения запаха тела.
Хлорофилл
Мята
Душица
Шалфей
Зверобой
Женьшень
Шиповник
Боярышник
Репешок
Эхинацея
Листья малины
Лавровый лист
В комментах записал войс
❤63🔥17😁9👏1
Showing the 12 most recent of 16 posts we hold for @Fetishparfum. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
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 19 September 2026 — this
entry's latest reading, not the date you are reading this.
“Макс Фетишист” (@Fetishparfum), 28,697 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/Fetishparfum.
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.