Ecommerce storefront — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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 the other topics.
Growth
52 measurements spanning 81 days, net -3,617. 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 10,804–44,376 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 52
Measured (UTC)
Subscribers
Change
27 Oct 2026, 20:11
14,678
-9
26 Oct 2026, 20:48
14,687
-22
25 Oct 2026, 18:17
14,709
+5
24 Oct 2026, 20:27
14,704
-2
23 Oct 2026, 22:46
14,706
-1
22 Oct 2026, 23:20
14,707
-9
21 Oct 2026, 23:36
14,716
-12
20 Oct 2026, 16:17
14,728
-8
19 Oct 2026, 16:06
14,736
-19
18 Oct 2026, 13:58
14,755
-3
17 Oct 2026, 15:30
14,758
-3
16 Oct 2026, 15:58
14,761
-2
15 Oct 2026, 15:22
14,763
+1
14 Oct 2026, 15:45
14,762
-10
13 Oct 2026, 07:04
14,772
-7
8 Oct 2026, 22:57
14,779
-508
4 Oct 2026, 15:17
15,287
-17,198
26 Sept 2026, 08:17
32,485
-7,561
17 Sept 2026, 14:17
40,046
-191
15 Sept 2026, 10:18
40,237
first reading
Engagement
184 posts held, back to 3 August 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 93 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.91%
avg views ÷ 14,678 subscribers
Avg views / post
1,010
14 posts measured
Reaction rate
1.11%
reactions ÷ views · ER floor
Posts in window
14
of 184 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 4 October 2026
Posts held
184 (3 August 2026 – 4 October 2026)
Views total
14,202
Reactions total
157
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Oct 2026, 15:02 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
11m 37s
Average length
44s
Measured directly from 16 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
2,960 reactions across 182 posts, in 27 distinct kinds. The most used accounts for 31.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
927
31.3%
👍
476
16.1%
custom 5449394813709327952
460
15.5%
⚡
180
6.08%
🤯
173
5.84%
🤣
162
5.47%
🎉
159
5.37%
🤷♂
82
2.77%
😭
48
1.62%
🏆
34
1.15%
💔
33
1.11%
😎
32
1.08%
🤔
31
1.05%
👎
30
1.01%
💯
27
0.912%
🆒
18
0.608%
custom 5296424506875722458
13
0.439%
😍
13
0.439%
🕊
12
0.405%
🤪
11
0.372%
7 further kinds
39
1.32%
Custom emoji. 2 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 are Telegram’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 182 of the 184 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 2,960 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 184 most recent posts we hold, published 3 August 2026 to 4 October 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
15
across the posts below
Posts paid on
4
of 182 we hold a reading for · 2%
Most on one post
10
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @histore_ru. 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 184 most recent posts we hold for this entry, published 3 August 2026 to 4 October 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 Apple возит iPhone самолетами, хотя кораблем в 50 раз дешевле?
На первый взгляд ответ очевиден: корабль. Доставка одного iPhone морем обходится примерно в 1–1,5 цента, самолетом — около 54 центов.
Но есть нюанс: корабль идет из Азии около месяца, самолет — всего пару дней. Для Apple это означает, что пока партия плывет, деньги компании фактически заморожены в товаре. Плюс нужны дополнительные складские запасы…
Легендарная Halo изначально должна была выйти на Mac 😐😐😐
В 1999 году Bungie представила Halo: Combat Evolved на Macworld Expo. Игру показали на Power Mac G3, а сам Стив Джобс объявил релиз на начало 2000 года.
Но все пошло совсем иначе. В 2000-м Microsoft купила Bungie вместе с Halo, превратив игру в главный эксклюзив для своей будущей Xbox.
На Mac Halo все же добралась в 2003 году, но продолжения на платформе бол…
😑😑😑 Apple потратила €9 млн на встречи с европейскими политиками в Брюсселе
Apple оказалась среди самых активных корпоративных лоббистов в ЕС. С июня 2024 года компания провела 257 встреч с представителями Европарламента и Еврокомиссии.
По данным Financial Times, Apple тратит на лоббизм в Брюсселе около €8–9 млн в год. Больше среди крупных технологических компаний только Google — у нее 302 встречи.
Основные темы та…
❗️❗️❗️ У iPhone Duo заменяемый верхний слой экрана
У складного iPhone нашли довольно необычную особенность: верхний слой внутреннего дисплея сделан заменяемым.
Apple объясняет такое решение просто: верхний слой со временем изнашивается, поэтому его можно заменить отдельно, не меняя весь дисплей.
Правда, самостоятельно снимать его Apple не рекомендует. И экспериментировать со сторонними покрытиями тоже пока явно не…
📱 Кажется, что экран, который постоянно включен, должен заметно ускорять разряд. Но реальные замеры показывают обратное. iPhone 17 прожил одну неделю с Always-On Display и неделю без него.
Средний расход составил 4,27% заряда в час с включенным экраном и 3,75% без него. Днем разница ещё меньше: 5,88% против 5,37% в час.
Статистический тест также не выявил значимой разницы. В реальном использовании на расход сильнее…
✍️ Что нового в iPad mini 8???
Следующий iPad mini может получить сразу несколько заметных изменений. Главное — A20 Pro и 12 ГБ ОЗУ вместо A17 Pro и 8 ГБ в текущей модели. Также ожидается OLED-дисплей с более глубоким черным, тонкими рамками и фронтальной камерой в горизонтальной ориентации.
Из беспроводных технологий — собственный чип N1 с Wi-Fi 7 и Bluetooth 6, а в версиях с сотовой связью может появиться фирменн…
Это новый iPod 🎶
Стартап New Matter Inc показал Sudo — компактный плеер в духе классического iPod. 2,73-дюймовый сенсорный экран, 64 ГБ памяти + карты, 3,5-мм джек, Bluetooth и 20+ часов работы. Есть поддержка стримингов и офлайн-музыки, а работает все на собственной Sudo OS.
Релиз обещают в IV квартале 2027 года за $250. Для ранних покупателей — $200.
👋Каталог | VK | Telegram | MAX
🗣 Спрятать Face ID под экран? Изи
Apple изменила структуру пикселей над TrueDepth: увеличила промежутки между ними, чтобы инфракрасный свет мог проходить сквозь дисплей. Плотность пикселей в этой зоне снизили вдвое, а яркость увеличили, чтобы участок не выглядел темнее.
Дополнительный ИК-фильтр помогает скрыть компоненты. В итоге Face ID практически невозможно увидеть — даже при макросъемке.
Пока это позволило лиш…
Мы постоянно слышим восторженные отзывы тех, кто переходит с Андроид на iOS, а есть ли те, кто сменил команду в другом направлении?
👋Каталог | VK | Telegram | MAX
📸 Galaxy S27 Ultra существенно прокачает обработку фото
Samsung, похоже, готовит не только новые камеры для следующего Ultra, но и серьезную доработку алгоритмов обработки снимков. По данным инсайдера Ice Universe, Galaxy S27 Ultra может получить сразу три заметных изменения.
Во-первых, смартфон должен лучше справляться с пересветами. Сейчас Galaxy S26 Ultra иногда теряет детали на небольших ярких объектах на расст…
🥹 GTA V запустили на iPhone 16
Энтузиаст запустил консольную версию GTA V на iPhone 16 с помощью эмулятора Xenios. И да, все как мы привыкли.
Кажется, следующий шаг — запуск GTA уже на бытовой технике. Холодильник, держись.
👋Каталог | VK | Telegram | MAX
🔥6🎉3🤯1
Showing the 12 most recent of 184 posts we hold for @histore_ru. 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.
Posts edited after publishing
@histore_ru edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
14 August 2026
Most recent edit
23 August 2026
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 4 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
@histore_ru 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.
@adobe named in 2 posts, 12 August 2026 – 13 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 27 October 2026 — this
entry's latest reading, not the date you are reading this.
“Hi Store” (@histore_ru), 14,678 subscribers as measured 27 October 2026. Telegram Register, tgregister.com/channel/histore_ru.
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.