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Telegram profile photo for FetishWave

Channel

FetishWave

@olga_fetishwave

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

8,450subscribers

-20 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001636910679
TypeChannel
Username@olga_fetishwave
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live9 September 2026
Measurements held12
Confirmed unchanged1 time, most recently 9 September 2026
On Telegramt.me/olga_fetishwave

Growth

8,4508,4958,472.56 August 2026 — 8,470 subscribers7 August 2026 — 8,470 subscribers10 August 2026 — 8,468 subscribers13 August 2026 — 8,473 subscribers16 August 2026 — 8,483 subscribers19 August 2026 — 8,494 subscribers22 August 2026 — 8,495 subscribers25 August 2026 — 8,487 subscribers29 August 2026 — 8,479 subscribers1 September 2026 — 8,475 subscribers4 September 2026 — 8,461 subscribers9 September 2026 — 8,450 subscribers6 August 20269 September 2026
12 measurements spanning 33 days, net -20. 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 8,443–8,502 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Sept 2026, 07:008,450-11
4 Sept 2026, 07:178,461-14
1 Sept 2026, 03:368,475-4
29 Aug 2026, 03:248,479-8
25 Aug 2026, 22:288,487-8
22 Aug 2026, 18:278,495+1
19 Aug 2026, 13:048,494+11
16 Aug 2026, 16:488,483+10
13 Aug 2026, 05:558,473+5
10 Aug 2026, 08:538,468-2
7 Aug 2026, 08:378,470no change
6 Aug 2026, 19:028,470first reading

Engagement

20 posts held, back to 17 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 25 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
17.9%
avg views ÷ 8,450 subscribers
Avg views / post
1,510
8 posts measured
Reaction rate
3.92%
reactions ÷ views · ER floor
Posts in window
9
of 20 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
WindowRolling 30 days · latest post in window 28 August 2026
Posts held20 (17 July 202628 August 2026)
Views total12,099
Reactions total474
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Aug 2026, 18:26 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

Video runtime
3m 08s
Average length
1m 03s

Measured directly from 3 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.

Reaction mix

944 reactions across 19 posts, in 20 distinct kinds. The most used accounts for 56.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
53456.6%
💯949.96%
🔥555.83%
👏474.98%
💋384.03%
🥴313.28%
❤‍🔥293.07%
🗿252.65%
👍242.54%
😱232.44%
🥰101.06%
💘70.742%
🤗70.742%
🫡70.742%
🌚40.424%
🤔30.318%
😁20.212%
🤯20.212%
🏆10.106%
🙏10.106%

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 19 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 944 reactions 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 17 July 2026 to 28 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.

Telegram Stars

Stars received
9
across the posts below
Posts paid on
4
of 19 we hold a reading for · 21%
Most on one post
5
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @olga_fetishwave. 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 20 most recent posts we hold for this entry, published 17 July 2026 to 28 August 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.

Recent posts

28 Aug 2026, 11:31 UTC459 views12 reactionsread 28 August 2026

💜 Last reminder, что цена на сопровождение значительно вырастет с 1 сентября, так что забронировать по старой стоимости вы можете буквально в эти три дня. Если ты запуталась, застряла, отчаялась, жаждешь изменений или наоборот в прайме, но хочешь расти дальше – приходи, поработаем вместе💘 ☺️Отзывы тут ☺️Описание тут и тут ☺️Задать вопрос по сопровождению или забронировать тут

10🥰2

24 Aug 2026, 09:05 UTC≈1,360 views66 reactions1 Starread 28 August 2026

🌷 Почему мужчины одержимы facesitting? И почему если вы не инициируете это в своих шоу, то теряете деньги? Ну вы видели, наверно, на дейтингах в каждом третьем мужском профиле кринжовые шуточки в духе «у меня дома нет табуреток» или «Here to put the “sit” in situationship». Фразы про сидение на лице стали некой обязательной базой, и частенько они встречаются в профилях, вообще не связанных ни с доминированием, ни с

37🔥16👍10👏1🤯1🥴1

22 Aug 2026, 16:05 UTC≈1,450 views31 reactionsread 28 August 2026

Ольга здравствуйте , хочу выразить Вам искреннюю благодарность за проведённый тренинг по BDSM в Shiny models. Прошло немного времени, но уже сейчас результат ощущается. Для меня лично этот тренинг оказался действительно очень полезным и содержательным. Благодаря Вам я смогла глубже разобраться в этой категории, лучше понять особенности работы с такими запросами мемберов которые раньше просто загоняли меня в тупик. Ос

29🤗2

22 Aug 2026, 16:05 UTC≈1,350 views32 reactionsread 28 August 2026

Мое искреннее убеждение в том, что только те знания, которые вы сразу начинаете практиковать, дадут хороший результат. Просто изучать канал, слушать тренинги и читать литературу – недостаточно. И кстати знание без практики часто создаёт ложное ощущение компетентности: вам кажется, что вы все поняли, пока не приходится применить это в реальном диалоге с мембером. А практика превращает информацию в навык: попробовали

24💯8

18 Aug 2026, 17:10 UTC≈2,220 views108 reactions2 Starsread 28 August 2026
File

🔴 Как меня записали в «ОПГ» и и о чем я молчала 9 месяцев Соскучились по скандалам? Я – нет, однако, над кое-чем мы не властны. Полгода назад я написала здесь, что не собираюсь превращать свой блог в площадку для публичных разборок, запретила обсуждать ситуацию в комментариях и предложила всем, у кого есть вопросы, писать мне лично. Ну и сама к этой теме больше не возвращалась. Представьте, я реально думала, чт

51🗿19👏12💋6😱6🌚3🤔3🥴3

17 Aug 2026, 13:13 UTC≈1,800 views173 reactions5 Starsread 28 August 2026

Мое любимое от новых знакомых: ну ЕСЛИ совсем будет туго, всегда можно ЗАВЕСТИ ОНЛИФАНС Или НАЧАТЬ ТОРГОВАТЬ ФОТО ПЯТОК в телеге ну конечно я этого не делаю ведь я ✨уважаемый специалист, не то что всякие там бустишл@хи ✨, но коли сократят, так всегда ЕСТЬ ЭТОТ ЗАПАСНОЙ ПЛАН Такое же любимое как «Здрасьти хочу на консультацию, думаю ПОДРАБАТЫВАТЬ Госпожой после основной работы, мне будет достаточно 3-4к$ ДЛЯ НАЧАЛА

98💯42💋20🔥7🥰4🤯1😁1

14 Aug 2026, 10:32 UTC≈1,770 views40 reactionsread 28 August 2026
Photo

💻 Исследую вебкам-студии в Сербии – стрем или норм На днях посещала белградскую студию Shiny models, чтобы провести для коллектива тренинг по работе с бдсм и фетишными мемберами (кусочек записи приложила к посту). В итоге провела в студии пол-дня: осмотрела комнаты, подкрепилась на мини-фуршете, пообщалась с коллективом. Модели студии работают в категории fuckmachine, и меня удивило, насколько часто им попадаются м

24🔥8👍5👏2🌚1

13 Aug 2026, 11:03 UTC≈1,690 views12 reactionsread 28 August 2026

💜 Что важного и очень интересного вы пропустили В дополнении к этому посту про закрытое сообщество, вот какие темы в него добавились, помимо уже перечисленных тут: ☺️ПРОДАЖИ: 🌺Голосовые сообщения как маркетинговый инструмент 🌺Почему он исчезает после первой траты 🌺Фразы, чтоб получить тип в конце сессии 🌺Как монетизировать мужчин-классиков 🌺Подробный разбор продаж через возбуждение ☺️ФЕТИШИ И ПРАКТИКИ: 🌺Разбор pos

12

9 Aug 2026, 12:32 UTC≈1,840 views80 reactionsread 28 August 2026

⭐️ Популярные направления в бдсм-сценариях Какую роль принять в игре? Ловите список востребованных динамик, которые чаще всего ищут нижние (лайк, если сохранили себе). ☺️Owner — property / pet «Владелица — собственность/питомец». Центр взаимодействия – принадлежность, правила, разрешения, контроль и ритуалы. Сюжет: саб показывает, что принадлежит Госпоже. А она устанавливает правила, дает знаки принадлежности, раз

48🔥18❤‍🔥6👏6👍2

7 Aug 2026, 15:57 UTC≈1,760 views19 reactionsread 28 August 2026
Photo

Hа связи DreamWork ❤️ Ищем админа в ночную смену (23:00-7:30) Порекомендуй нас той, кто ищет работу и мы заплатим 20к за успешное собеседование 📍Санкт-Петербург, м. Звенигородская Что мы предлагаем: 🍋 4-5 смен в неделю 🍋 ЗП от 110к в месяц с еженедельными выплатами 🍋 оплачиваемая стажировка 🍋 оплата английского и спорта Кого мы ищем: 🌸 девушка 22+ 🌸 опыт работы в вебкаме от 1 года 🌸 английский не ниже B1 🌸 поним

15🫡4

6 Aug 2026, 17:58 UTC≈1,930 views63 reactionsread 28 August 2026

🚨 Вы из стыдливых или из бесстыжих? Все говорят, как важно развивать уверенность, харизму, навык продаж, навыки доминирования – мало кто вспоминает о том, что за отсутствием всего этого нередко стоит обычный стыд. Стыд – вообще довольно интересная эмоция. Его основная функция – не допустить отвержения группой, то есть он является социальным конструктом. Поэтому, когда нам стыдно, мозг автоматически пытается сделать

43👏12👍7🏆1

Showing the 12 most recent of 20 posts we hold for @olga_fetishwave. 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.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

Mentions

Named by 5 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.

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 9 September 2026 — this entry's latest reading, not the date you are reading this.

“FetishWave” (@olga_fetishwave), 8,450 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/olga_fetishwave.

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.