4 measurements spanning 9 days, net +82. 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 682–788 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Aug 2026, 22:25
776
+75
8 Aug 2026, 20:03
701
+7
8 Aug 2026, 03:50
694
no change
8 Aug 2026, 03:49
694
first reading
Engagement
16 posts held, back to 9 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
62.2%
avg views ÷ 776 subscribers
Avg views / post
483
1 post measured
Reaction rate
2.28%
reactions ÷ views · ER floor
Posts in window
1
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 July 2026
Posts held
16 (9 May 2026 – 20 July 2026)
Views total
483
Reactions total
11
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 03:50 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.
Reaction mix
201 reactions across 15 posts, in 15 distinct kinds. The most used accounts for 34.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
69
34.3%
👍
26
12.9%
🔥
19
9.45%
custom 5204431263787686004
17
8.46%
custom 5203929920845160737
11
5.47%
custom 5203963997115688958
11
5.47%
😁
10
4.98%
custom 5204124276705242773
9
4.48%
custom 5334852438266522487
7
3.48%
custom 5203969082356966025
6
2.99%
custom 5334960748751790831
5
2.49%
custom 5334609605110574707
4
1.99%
custom 5335072907527758443
3
1.49%
custom 5334974612906221322
2
0.995%
🥰
2
0.995%
Custom emoji. 10 of the rows above are 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 areTelegram’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 15 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 201reactions 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 9 May 2026 to 20 July 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.
Подключение: @prismatradelead
🎭 Prisma Payments запускает «Trust БТ с чеками PDF» это — эволюция без рисков в направлении БТ с чеками PDF.
🎭 Коллеги, добрый день! Мы не просто открыли новое направление, мы пересобрали механику выплат под реалии 2026 года. Если вы работаете с чеками PDF, этот апдейт изменит вашу экономику.
В чем ключевое отличие от «классического» БТ с чеками?
🎭 Философия ответственности. В класси…
🎭 На Prisma Payments 2.0 - конверсия ~80% и большинство мерчантов 30 минут на чек и 30 минут на видео. (вторичный трафик)
Ожидаем вас в работе @prismatradelead
💎 Мы вернулись. И мы стали сильнее.
Эти несколько дней стали для нас настоящей проверкой на прочность. Мы увидели наши точки роста, сделали жесткие выводы и исправили ошибки ценой собственного опыта. Но сегодня мы с чистой совестью заявляем: все обязательства выполнены. Все депозиты и мерчантские балансы выведены в полном объеме.
@prismapay вновь в строю — обновленная, надежная и готовая к новым рекордам. Мы не про…
🎭 Коллеги, всех приветствую! На связи команда Prisma Payments.
🎭 Наша платформа столкнулась с хакерской атакой. Благодаря профессиональной работе нашей службы безопасности и реагированию технического отдела, угроза была полностью нейтрализована в кратчайшие сроки. Все системы восстановлены, данные пользователей в полной сохранности, а средства на счетах — в безопасности.
🎭 100% депозитов трейдеров и мерчантов вывед…
Коллеги, всех приветствую!
Проект Prisma Payments - приостановит свою работу, как трейдер панель и перейдет в агрегатор решение (ориентировочно август 2026), очень ждем провайдеров к сотрудничеству с стоящими офферами и должной обработкой, по всем ГЕО покрытиям.
@prismatradelead
😇 Коллеги, обращаем ваше внимание: в ближайшее время ожидаются фейковые (скам) поступления по следующим финансовым инструментам через OZON Банк, ОТП Банк, Райффайзен Банк, Ак Барс Банк и ВТБ.
😭 В связи с участившимися случаями мошенничества, мы настоятельно рекомендуем проявлять повышенную бдительность. Для вашей безопасности и подтверждения легитимности каждой операции наша команда запрашивает видеозапись экрана (с…
🎭 24.06 20:00 в канале @m_fintech пройдет созвон на тему направления «Гос.услуги»
M fintech X ЛАБУБЫЧ X SouzPartners Х Prisma Payments
• Поговорим с вами об актуальных методах работы
• Обсудим новости рынка
• Расскажем про всеми любимый ЦУПИС
• И не только…
🔥 Ждем всех, коллеги, будет интересно!
😇 Коллеги, устали от бесконечных проблем с картами, схемами и вечными рисками?
🔥 Направление «Метчинг» — это направление, на котором будет держаться процессинг, где нет карт, нет контрагентов на биржах, только обработка между процессинговыми платформами. Мы готовы полностью обучить вашу команду и довести до результата.
Без карт. Без скамов. И это только начало — Prisma Payments
Условия:
🔷 БТ с PDF чеками - 8% (при…
Showing the 12 most recent of 16 posts we hold for @prismapay. 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.
Citation-graph rank
Citation-graph rank — 838,038 of 1,550,164entries 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.
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.
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
@prismapay 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.
@m_fintech 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 16 August 2026 — this
entry's latest reading, not the date you are reading this.
“Prisma Payments” (@prismapay), 776 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/prismapay.
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.
