Ecommerce storefront — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 17 comparable posts for this entry, running 28 July 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @tot_samy_sashaaa — which is this entry. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
56 measurements spanning 89 days, net +1,197. 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 12,252–13,809 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)
Subscribers
Change
4 Nov 2026, 05:47
13,629
+3
3 Nov 2026, 05:08
13,626
+8
1 Nov 2026, 06:06
13,618
+3
31 Oct 2026, 07:35
13,615
+9
30 Oct 2026, 07:44
13,606
+10
29 Oct 2026, 04:50
13,596
+6
28 Oct 2026, 02:10
13,590
+16
27 Oct 2026, 02:56
13,574
+5
26 Oct 2026, 00:19
13,569
+30
25 Oct 2026, 02:54
13,539
+13
23 Oct 2026, 23:56
13,526
+28
23 Oct 2026, 00:48
13,498
+18
21 Oct 2026, 21:07
13,480
+20
20 Oct 2026, 19:05
13,460
+4
19 Oct 2026, 18:30
13,456
+11
18 Oct 2026, 16:38
13,445
+16
17 Oct 2026, 16:20
13,429
+13
16 Oct 2026, 19:20
13,416
+29
15 Oct 2026, 17:40
13,387
+18
14 Oct 2026, 17:57
13,369
first reading
Engagement
74 posts held, back to 28 July 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 49 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
33.5%
avg views ÷ 13,629 subscribers
Avg views / post
4,570
20 posts measured
Reaction rate
1.43%
reactions ÷ views · ER floor
Posts in window
20
of 74 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 3 November 2026
Posts held
74 (28 July 2026 – 3 November 2026)
Views total
91,400
Reactions total
1,303
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 05:41 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
4,402 reactions across 74 posts, in 9 distinct kinds. The most used accounts for 29.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,303
29.6%
🔥
1,031
23.4%
💯
646
14.7%
custom 5346014873585227576
634
14.4%
custom 5334955749409834455
402
9.13%
😁
194
4.41%
🤡
116
2.64%
😢
71
1.61%
😡
5
0.114%
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 74 of the 74 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 4,402 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 74 most recent posts we hold, published 28 July 2026 to 3 November 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
93
across the posts below
Posts paid on
9
of 74 we hold a reading for · 12%
Most on one post
84
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tot_samy_sashaaa. 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 74 most recent posts we hold for this entry, published 28 July 2026 to 3 November 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
Telegram’s own ‘edited’ marker: 0 of 20 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
День Б/У, как всегда, по вторникам!
Напоминаю, что каждый вторник мы снижаем цены на всю Б/У технику ещё на 1 000 ₽ 💸
А значит, сегодня можно урвать что-нибудь интересное ещё дешевле)
👉 https://t.me/tot_samy_by/25
Переходите, выбирайте лучшие предложения, пока их не забрали!
30 000 подписчиков на Авито!
Друзья, низкий вам поклон за доверие и за то, что остаётесь с нами долгие годы!
Благодаря вам «Тот самый Саша» стал самым популярных магазинов на Авито 🤝
В честь такого события хочется отблагодарить вас и устроить какую-нибудь интересную движуху 🎁
Предлагайте в комментариях, что придумаем! Розыгрыши, подарки или сумасшедшие акции?))
Ещё раз огромное спасибо, что вы с нами! ❤️
Что за цена?!
iPhone 18 Pro 256GB Burgundy
Цена: 109 990₽ 104 990 ₽
eSIM 🍷
Самый красивый цвет, самый популярный iPhone, да ещё и за такую цену 💯
Готовы сделать заказ? Просто напишите нам:
@tot_samy_manager ✅
Apple полностью переработала приложение «Здоровье» ❤️
Новый интерфейс уже показали в бета-версии iOS 27.2, а вместе с ним и несколько действительно интересных функций
Что нового:
✅ Обзор — сон, пульс, активность и рекомендации от Apple Intelligence в одном месте
✅ Долголетие — Health Age покажет, насколько показатели вашего здоровья соответствуют реальному возрасту
✅ Тесты через камеру iPhone — оценка гибкости, р…
Друзья, хочу немного обратной связи от вас 📞
Слева снизу у нас есть чат, где вы можете написать напрямую мне
Напишите, чего вам не хватает, что хотелось бы увидеть в канале или магазине, что можно сделать лучше. Может быть, есть какие-то идеи, предложения или, наоборот, что-то не нравится 🤨
Ну и если вам всё нравится, это тоже можете написать)))
Мне действительно интересно понимать, чего хочет моя аудитория и куд…
Коробка от диска есть, а самого диска нет 🫠
Да, если кто не в курсе, в коробке с GTA VI вместо диска будет лежать код активации 🎮
Похоже, эра физических дисков постепенно подходит к концу…
🔥До выхода GTA VI осталось всего 3 недели!
📱 Sony PlayStation 5
PS5 Slim без дисковода
Цена: 61 990 ₽
PS5 Slim с дисководом
Цена: 67 990 ₽
PS5 Pro без дисковода
Цена: 121 990 ₽
🎮 Предзаказ GTA VI
Цифровое издание — 8 990 ₽
Самое время обзавестись PlayStation 5, тем более что у нас отличные цены 💯
Готовы сделать заказ? Просто напишите нам:
@tot_samy_manager ✅
iPhone 18 Pro от 107 990 ₽
Цены продолжают радовать, а сегодня у нас сразу два цвета на выбор 🍏
🍷Burgundy
iPhone 18 Pro 256GB
🤍eSIM — 107 990 ₽
🤍SIM + eSIM — 120 990 ₽
iPhone 18 Pro Max 256GB
🤍eSIM — 127 990 ₽
🤍SIM + eSIM — 132 990 ₽
🧊Glacier
iPhone 18 Pro 256GB
🤍eSIM — 109 990 ₽
🤍SIM + eSIM — 117 990 ₽
iPhone 18 Pro Max 256GB
🤍eSIM — 123 990 ₽
🤍SIM + eSIM — 124 990 ₽
📦Все модели уже в наличии и ждут вас!
Го…
А говорили, что цены будут миллионы…
А тем временем iPhone Duo продолжает дешеветь! 📉
iPhone Duo 256GB
→ Night Sky — 219 990 ₽
→ Star White — 219 990 ₽
iPhone Duo 512GB
→ Night Sky — 253 990 ₽
→ Star White — 253 990 ₽
📦Все модели уже в наличии и ждут вас!
Готовы сделать заказ? Просто напишите нам:
@tot_samy_manager ✅
⚡️Apple представила первый MacBook Pro с сенсорным OLED-дисплеем и Dynamic Island
Пожалуй, одно из самых масштабных обновлений MacBook за последние годы
Что нового?
🤍Сенсорный OLED-дисплей с полноценным Multi-Touch, жестами и поддержкой рисования
🤍Dynamic Island вместо привычной чёлки, как на iPhone
🤍Tandem OLED с яркостью до 2000 нит и ProMotion 120 Гц
🤍Новый корпус — тоньше, легче и с улучшенным охлаждением
…
🔥Наш новый канал по Б/У технике уже запущен!
Тот самый Саша | Б/У техника
Именно там будем публиковать самые низкие цены на оригинальную Б/У технику, уценённые товары и самые интересные предложения! 💯
Реальные фотографии, подробное описание состояния и цены, всё уже в канале
Переходите, подписывайтесь и успевайте забирать лучшие предложения первыми!
@tot_samy_by ✅
Товар дня 🗓
AirPods 5 Wireless
→ 15 990₽ 14 990₽
AirPods Pro 3
→ 19 990₽ 17 990₽
Готовы сделать заказ? Просто напишите нам:
@tot_samy_manager ✅
❤17🔥12custom 533495574940983445510💯1
Showing the 12 most recent of 74 posts we hold for @tot_samy_sashaaa. 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.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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 4 November 2026 — this
entry's latest reading, not the date you are reading this.
“ТОТ САМЫЙ САША” (@tot_samy_sashaaa), 13,629 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/tot_samy_sashaaa.
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.