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Channel

Дратути Антон

@blog_toxa

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

4,390subscribers

-7 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001700885196
TypeChannel
Username@blog_toxa
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live16 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/blog_toxa

Growth

4,3904,3974,393.56 August 2026 — 4,397 subscribers6 August 2026 — 4,396 subscribers9 August 2026 — 4,391 subscribers12 August 2026 — 4,393 subscribers16 August 2026 — 4,390 subscribers6 August 202616 August 2026
5 measurements spanning 9 days, net -7. 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 4,389–4,398 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 04:274,390-3
12 Aug 2026, 18:054,393+2
9 Aug 2026, 19:314,391-5
6 Aug 2026, 21:584,396-1
6 Aug 2026, 18:184,397first reading

Engagement

21 posts held, back to 13 March 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 6 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
32.4%
avg views ÷ 4,390 subscribers
Avg views / post
1,420
4 posts measured
Reaction rate
1.85%
reactions ÷ views · ER floor
Posts in window
4
of 21 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
WindowRolling 30 days · latest post in window 8 August 2026
Posts held21 (13 March 20268 August 2026)
Views total5,684
Reactions total105
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 18:17 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
1m 28s
Average length
1m 28s

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

751 reactions across 21 posts, in 13 distinct kinds. The most used accounts for 24.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥18724.9%
15420.5%
🤣10213.6%
😁678.92%
custom 5458376419253952849547.19%
💯415.46%
❤‍🔥364.79%
🤩303.99%
🤔283.73%
😢243.20%
👍222.93%
💔40.533%
20.266%

Custom emoji. One row above is a 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 count beside it isTelegram’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 21 of the 21 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 751reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 13 March 2026 to 8 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 21 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @blog_toxa. 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 21 most recent posts we hold for this entry, published 13 March 2026 to 8 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.

Recent posts

8 Aug 2026, 13:56 UTC504 views14 reactionsread 8 August 2026
Photo

Я тут на выходных решил потрогать воды и рыб различных на Вуоксе. Итак, развлечение прекрасное! Но данный комплект — отличный пример плохо сформированного ТЗ ради скорости!😀 Прошу в комментарии предложить гипотезы, что не так случилось с ТЗ на эту лодку?💀 Через некоторое время отпишу правильный вариант!

🔥113

31 Jul 2026, 17:45 UTC≈1,340 views23 reactionsread 8 August 2026
Photo

Photo, posted without a caption

😁21👍2

28 Jul 2026, 05:11 UTC≈1,780 views9 reactionsread 8 August 2026

Песочница Наверное, каждый из нас хотя бы раз в жизни игрался в песочнице. У кого-то при этом была гора песка, лопаточки, ведёрки, формочки — в общем, полный "жир", а у другого и песка особо не было. Часто песочница выглядела как обрамленный деревянными досками квадрат, но и гора песка без всяких барьеров — это не редкий случай, особенно в регионах 😍. Песочница — масштаб небольшой, тем не менее, обычно среди всей д

🔥81

22 Jul 2026, 10:04 UTC≈2,060 views59 reactionsread 8 August 2026
Photo

какая же жиза...

🔥31🤣28

15 Jul 2026, 21:04 UTC≈2,730 views59 reactionsread 8 August 2026

Не по теме, но Англия:Аргентина — вот это красивый матч!

💯40🔥10🤔5😢2custom 54583764192539528492

13 Jul 2026, 21:01 UTC≈3,880 views10 reactionsread 8 August 2026

Кто пройдёт — пишите в комменты, посмотрим сколько нас https://superdario.pawb.de/

custom 545837641925395284910

12 Jul 2026, 11:19 UTC≈2,890 views31 reactionsread 8 August 2026

Выбираю учить Фонд "Новый учитель" запускает программу "Выбираю учить" в Нижегородской области, которая приведёт вдохновляющих учителей в обычные районные школы. Приходите поддержать ребят на сайт проекта. Ко мне пришли ребята из фонда и я не смог пройти мимо, потому что для меня тема учителей — крайне важна и жизненна 🥹. Ребята делают очень крутое дело и я искренне верю, что благодаря таким инициативам в мире могу

21🔥7👍2💔1

25 Jun 2026, 11:04 UTC≈2,790 views71 reactionsread 8 August 2026

Обновление Алисы AI Сегодня публично рассказали, что вышло мажорное обновление Алисы. Большое количество людей приложило руку к этому релизу (на моей памяти самое большое!). У нас разительно выросло качество: модель стала писать лаконичнее и приятнее, сделали упор на фактологию, человечность, точность вычислений, распознавание текста и визуальных элементов, а также куча-куча всего полезного для наших пользователей!

🔥4910🤣6💔3custom 54583764192539528492😁1

22 Jun 2026, 13:32 UTC≈4,040 views33 reactionsread 8 August 2026
Photo

Что-то в этом есть такое, настоящее!!! by @izpodshtorki

🤣244👍3🔥2

15 Jun 2026, 06:04 UTC≈2,850 views17 reactionsread 8 August 2026

Продуктово-технологическая проблема В последнее время очень часто в разговорах на работе, личных встречах, конференциях и т.п. мероприятиях я слышу выражения со словом "продуктово". Грустно осознавать, что лишь небольшой процент людей употребляет этот термин корректно 😭. —— В мире MLLM в большинстве случаев сама модель является технологией. На базе неё можно строить продукты: чатботы, различные агенты, верификатор

12🔥3💯1custom 54583764192539528491

6 Jun 2026, 16:56 UTC≈2,380 views38 reactionsread 8 August 2026

Три категории людей про ИИ В последнее несколько недель от общения с людьми я поймал жесткий вайб, что в голове у меня люди разделились на три категории: 1. Человек обыкновенный. Срать он хотел на ваш ИИ, но если надо будет, будет пользоваться. Вместо того, чтобы тратить 200 баксов на подписку, купит себе лодку и будет жить в кайф. 2. AI-специалист. Обмазался агентами, харнесами и крутит агентов 24/7, чтобы те ему г

😁278custom 54583764192539528493

30 May 2026, 14:16 UTC≈2,820 views44 reactionsread 8 August 2026
Photo

ML Академия 2026 В этом году мы отправились на Алтай. В отличие от Сербии для меня это был уже знакомый регион, но удивлению и эмоциям также нет предела! Невероятно живописная природа окружала нас, в программе было куча активностей: • Рассказы ребят про проекты; • Хайкинг / Джипы / Квадроциклы / Рафтинг / Родельбан; • Песни под гитару; • Много много интереснейших разговоров с умнейшими людьми! Мне очень радостно, ч

26🔥13👍3🤣2

Showing the 12 most recent of 21 posts we hold for @blog_toxa. 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 — 686,148 of 1,481,217entries 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

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

эйай ньюз
@ai_newz · 96,023
Telegram ranks this channel #27 of 94 here — alongside 93 others — read 16 August 2026
Machinelearning
@ai_machinelearning_big_data · 285,509
Telegram ranks this channel #38 of 95 here — alongside 94 others — read 10 August 2026

This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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.

“Дратути Антон” (@blog_toxa), 4,390 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/blog_toxa.

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.