5 measurements spanning 8 days. 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 2,924–2,933 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 15:25
2,925
-7
12 Aug 2026, 11:48
2,932
+3
9 Aug 2026, 21:51
2,929
+4
7 Aug 2026, 08:13
2,925
no change
7 Aug 2026, 07:31
2,925
first reading
Engagement
19 posts held, back to 15 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
106.0%
avg views ÷ 2,925 subscribers
Avg views / post
3,100
7 posts measured
Reaction rate
2.86%
reactions ÷ views · ER floor
Posts in window
9
of 19 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 7 August 2026
Posts held
19 (15 May 2026 – 7 August 2026)
Views total
21,711
Reactions total
621
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 16:00 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
28m 28s
Average length
2m 51s
Measured directly from 10 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
1,504 reactions across 18 posts, in 21 distinct kinds. The most used accounts for 31.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
474
31.5%
🔥
427
28.4%
❤
150
9.97%
💯
109
7.25%
👏
106
7.05%
🤣
72
4.79%
🤔
37
2.46%
✍
31
2.06%
😁
28
1.86%
🖕
22
1.46%
🤡
11
0.731%
🥰
8
0.532%
😢
7
0.465%
🫡
5
0.332%
🤝
4
0.266%
🗿
3
0.199%
🙊
3
0.199%
👌
2
0.133%
👎
2
0.133%
🥴
2
0.133%
1 further kind
1
0.066%
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 18 of the 19 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 1,504reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 15 May 2026 to 7 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
10
across the posts below
Posts paid on
4
of 18 we hold a reading for · 22%
Most on one post
6
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @crymeariverwhiteboy. 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 19 most recent posts we hold for this entry, published 15 May 2026 to 7 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.
Когда человек вместо оспаривания тезисов оппонента начинает переходить на обсуждение личности собеседника - значит, что аргументов против тезисов не осталось.
И хотя я (не охотник) с улыбкой отношусь к инициативам запретить использование на любительской и трофейной охоте конверсионные п/а - ну хотя бы потому что они (эти п/а) у почти всех из 700 тыс. Охотников есть,, тем не менее хочу для себя прояснить следующее.
…
Эксперт от профана отличается очень уверенным ебальником (с)
Собственно почитал у адвоката мнение, что Российские производители оружия сами загнали себя в ловушку, делая то, что интересно им, и не делая то, что нужно охотникам
Имея небольшое производсто шляп с пером я бы конечно поспорил на эту тему, но глобально могу сказать следующее:
Титле основного нового нарезного охотничьего карабина в 2026 году прочно удерж…
Когда ормаги стали напоминать советские гастрономы 90х...
Основная причина падения продаж на оружейном рынке - это то, что ассортимент в магазинах всем надоел.
Нет интриги. Нет радости открытия нового. А если и есть, то бюджеты такие, что добавь чуть чуть и хватит на квартиру в Москве.
Калаши всем остопиздели еще пока были квазинарезными. Да и калаш покупать не надо - тебе еще и доплатят если захочешь его потаскат…
Любителям считать чужие деньги
В предыдущем посте была расписана детская считалка "почему нельзя быть дешевой такой".
Пойдем от обратного и посчитаем, сколько винтовок надо продавать фирме вроде СОЗ, чтобы быть в операционном нуле.
Итак. РРЦ Arcan AR15 сейчас 320 т₽ (вокруг 300т₽, но возьмкем по верху). Это с 22% НДС, т.е розница 262т₽ без НДС.
Опт у нас - 35% от РРЦ или 170 т₽ без НДС
Прямой себес мы считали р…
Почему нельзя быть дешевой такой (с) Белый Орел
В каментах к предыдущему посту усомнились в уровне затрат.
Оценочно детализирую (Чудеса случаются, но не верю я в них):
Аренда (у СОЗ здание было, насколько помню, немаленькое, одно КХО чего стоило) + коммуналка + охрана = ~1.5 млн.₽
Зарплаты (Москва, еще найти надо людей с руками и мозгами за эти деньги):
Директор + бухгалтер + конструктор + продавец / работник с …
Миллион лемммингов не может ошибаться.
Прочитал позитивную новость о том, что СОЗ был выкуплен K.ARMA.
Собственно с уважением отношусь ко всем людям, которые за свои деньги проверяют свои собственные теории.
И если люди нашли проект, которым смогут отбить OpEx в 3-5 млн в месяц (аренда/охрана/персонал), то это реально круто.
PS
О чем это говорит нам? О том, что маржинальность пластика - невъебенная. И остается до…
Покажи дельфина...
Почему всё оружие похоже друг на друга как капли воды? Потому что форма следует за функционалом. И этот функционал, и, как следствие, дизайн, практически не менялся последние 120 лет.
Ну как не менялся - пройдя от coach guns через lever action с подствольным магазином (стрелок сидит/стоит на козлах кареты или в седле лошади или (уж совсем высоко) на крыше здания, занимая high ground и имея необхо…
Обещанного три года ждут
Случилась радость неземная от которой отделения ЛРО сжались нет в ожидании наплыва заявителей.
А на самом деле прям даже интересно сколько людей, у которых еще нет 5 летнего стажа, но есть уже 3х летний стаж на этой неделе подалось на красную.
Хочется верить в лучшее, но сдается мне, что заявлений на Госуслугах не будет прям вал.
Почему? Ну потому что перегорели уже все парни, которые вес…
Когда железку легко убрать в маленький рюкзак
В продолжение первого поста по карабину
С карабином доехал до стрельбища. Привелся на 50/200. До 300м проверился.
Все работает, несмотря на съем/установку цевья для обзора - калик, приведенный по механике, на 100м зашел первым выстрелом.
Осталась фальшбанка и, по большому счету, все.
300/700
Собственно пару дней не утихает радостная вакханалия на тему "режь стволы, приклады режь".
На самом деле что нам от этой поправки? Реально только то, что приклад теперь можно сдвигать до упора вперед.
Почему? Ну потому что все что сейчас на руках было сертифицировано по "старым" кримтребованиям.
И, если наличие более короткого приклада, при сохранении общей длины оружия в 700мм (ЗОО на текующую дату) прак…
🔥53👍23😁14❤2🖕1
Showing the 12 most recent of 19 posts we hold for @crymeariverwhiteboy. 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 — 512,464 of 1,478,351entries 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
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.
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.
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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“Вставай рядом, Соси дешевле” (@crymeariverwhiteboy), 2,925 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/crymeariverwhiteboy.
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.
