2 measurements taken within a single day. 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 346–348 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
8 Aug 2026, 06:50
347
no change
8 Aug 2026, 02:19
347
first reading
Engagement
11 posts held, back to 10 June 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
92.0%
avg views ÷ 347 subscribers
Avg views / post
319
5 posts measured
Reaction rate
1.36%
reactions ÷ views · ER floor
Posts in window
5
of 11 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. It is computed over the 4 of 5 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 4 August 2026
Posts held
11 (10 June 2026 – 4 August 2026)
Views total
1,596
Reactions total
18
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 06:50 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
81
Videos
6
Links
22
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.
Video runtime
3m 27s
Average length
3m 27s
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
52 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 36.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🏆
19
36.5%
👍
16
30.8%
🍌
14
26.9%
👎
3
5.77%
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 9 of the 11 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 52reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 11 most recent posts we hold, published 10 June 2026 to 4 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
1
across the posts below
Posts paid on
1
of 11 we hold a reading for · 9%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @lustdump_of. 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 11 most recent posts we hold for this entry, published 10 June 2026 to 4 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.
почему именно в те моменты когда мне нужно срочно продать ппв фану, фансли начинает вести себя так будто это экспериментальная разработка в сфере адалта которая еще не до конца изучена и для прогрузки медиафайлов требуется прочтение молитвы
ищу чаттеров (fansly) cosplay/babyface/gamer-girl модель ❤️
доступны все смены!
yтро 8:00 - 16:00
вечер 16:00 - 00:00
ночь 00:00 - 8:00
❤️ условия:
— 20% от продаж + %5 kpi + премии
— выплаты раз в 2 недели (TRC20)
— 1 плавающий выходной в неделю + 1 экстра в мес
— полноценное обучение чаттингу
— карьерный\личностный рост + лояльное отношение
— приятные и адекватные сменщики
❤️ требования:
— стабильный интернет\св…
ТЫ НЕ ПЛОХОЙ ЧАТТЕР
Тебя просто научили делать много лишних действий.
Ты сидишь на смене.
Отвечаешь фанам.
Кидаешь PPV.
Но результат всё равно не тот.
И в какой-то момент ты понимаешь:
я не расту, я просто отрабатываю часы.
Поэтому команда Swagozawrs запускает услугу — "Частное тимлидерство"
Это персональное сопровождение для чаттеров, которые хотят не просто “писать сообщения”, а понимать продажи, видеть свои …
ЧТО ВХОДИТ В ОБУЧЕНИЕ ПО REDDIT И КОМУ ОНО ПОДОЙДЕТ? ⚡
Обучение рассчитано на 2 категории людей:
🌟Для новичков — если вы никогда не работали с Reddit или только начинаете знакомство с платформой
Разберем все с нуля:
🌟где и как покупать аккаунты
🌟как правильно их подготовить к работе
🌟базовые и технические настройки
🌟какие инструменты использовать
🌟как начать получать результат без лишних ошибок
🌟Для тех, кто уже …
Единственный справедливый и независимый отзовик ⚡
Нашего Adult коммьюнити...
Почему решил создать? ⚡️
Так как в нашу сферу приходят все больше и больше людей, многие из них являются скаммерами, маниполистами, нарушают общепринятые негласные табу и мешают росту чужих бизнесов.
Именно поэтому, я - ChatCreator, человек с чистой репутацией на делах, создатель агентства swagozawrs - беру на себя эту ответственность.
…
работа с рассылками / полезные знания и разбор ключевых факторов успешных рассылок
разобрали с Ромчиком Sext Monster
— тон оф войс, позиционка модели ❤️
один из ключевых факторов — рассылки дают все смены, фанаты их видят и запоминают. нужно создавать максимально реалистичную картину, чтобы фаны, которые реально заинтересованы в вас, не заметили ничего странного. обязательно соблюдайте похожую стилистику в чатах и р…
МЫ БЫ НЕ ДЕЛАЛИ ЭТОГО, НО… 😞
Адам Логово Секстера решил воспользоваться возможностью того(приложили голосовое сообщение выше), что Милионлифанс закинула нашу команду в помойку и украсть нашу модель, с чего как и мы, так и модель дружно посмеялись
Мы попросили Мили удалить нас из помойки в личных сообщениях, но, она проигнорировала данную просьбу, а Даврон в свою очередь даже не может удалить посты из своего тгк, ве…
позиционирование модели, несколько важных тейков по этой теме
разобрали с fanslygod
— лайв-посты ❤️
лайв-посты должны довольно сильно синхронизироваться с позиционкой и общим вайбом модели. нужно правильно распознать по внешности, мимике, поведению, движениям модели — какой тайп ведения лайф-постов вы будете ей давать. главные ошибки в лайф-постах — отсутствие живых эмоций, лишняя философия или же просто вода в текс…
👍7🏆6
Showing the 11 most recent of 11 posts we hold for @lustdump_of. 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.
Citation-graph rank
Citation-graph rank — 418,324 of 1,169,250entries 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.
Forward network
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 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.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@lustdump_of named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@swagjunk named in 1 post, 9 August 2026 – 9 August 2026
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 8 August 2026 — this
entry's latest reading, not the date you are reading this.
“lustdump” (@lustdump_of), 347 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/lustdump_of.
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.
