2 measurements spanning 2 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 62–64 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 03:31
63
no change
7 Aug 2026, 17:36
63
first reading
Engagement
18 posts held, back to 11 April 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
126.5%
avg views ÷ 63 subscribers
Avg views / post
79.7
3 posts measured
Reaction rate
9.62%
reactions ÷ views · ER floor
Posts in window
3
of 18 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 2 August 2026
Posts held
18 (11 April 2026 – 2 August 2026)
Views total
239
Reactions total
23
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
10 Aug 2026, 03:31 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
Photos
74
Videos
2
Links
38
Lifetime counters from Telegram’s own channel header, read 10 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
4s
Average length
4s
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
203 reactions across 18 posts, in 11 distinct kinds. The most used accounts for 26.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5334725814040674667
54
26.6%
custom 5222016573589440147
50
24.6%
custom 5244688456109530025
27
13.3%
custom 5325830618943077259
16
7.88%
custom 5327947427934650843
14
6.90%
custom 5238023689068384546
13
6.40%
custom 5963230149653565569
13
6.40%
custom 5312430630217212692
9
4.43%
custom 5246939701872457267
4
1.97%
custom 5249255574008267124
2
0.985%
custom 5438453809724564310
1
0.493%
Custom emoji. Every 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 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 18 of the 18 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 203reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 11 April 2026 to 2 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
1,511
across the posts below
Posts paid on
2
of 18 we hold a reading for · 11%
Most on one post
1,510
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @moving_to_ds. 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 18 most recent posts we hold for this entry, published 11 April 2026 to 2 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.
Advertising
Ad load
5.56%
1 of 18 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
241
over 1 measured post
Median views · rest
134
over 17 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2SDnjcEyVS2
1
28 April 2026
28 April 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 18 most recent posts we hold, published 11 April 2026 to 2 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
🧠 ИИ для личной базы знаний
Пару месяцев назад я писал ВКР на тему систематизации знаний с применением ИИ. За основу взял свежий паттерн LLM Wiki от Андрея Карпаты.
В итоге получилась очень мощная система, которая объединила в себе:
🌟Удобство 💎 Obsidian
🌟Мощь 💎 Claude Code
🌟Надежность моей кастомной обвязки (скиллы, хуки и детерминированные скрипты)
И это работало и правда очень хорошо. Кому интересно, вот репози…
Этот день настал: открываем регистрацию на 💙💙💙💙💙
Вам рассказываем первым.
➡️12-13 сентября, Loft Hall #8
Хардовые технические доклады. Выступления учёных и популяризаторов науки. Робототехника и DIY, Burning Talks и много полезного общения. Всё, что вы любите, — два дня. И два вечера концертов, караоке и неформальной тусовки.
Отмечайте в календарях большууууууую дату. Регистрируйтесь сами и зовите друзей.
До встр…
💎 Junior ML Contest
Подался на JMLC – один из треков поступления в AI Talent Hub ИТМО.
Talent Hub – это крупнейшая магистратура по искусственному интеллекту в России. Представляете, там на сайте, в составе преподавателей / кураторов числится сам Валерий Бабушкин. У меня конечно есть сомнения на счет его активного участия в программе, но все же.
JMLC проходит в формате защиты проекта перед комиссией. Проект может б…
Недавно моя первая статья вышла в журнальчике. По мотивам ВКР (отдельно расскажу, думаю).
Не A*, конечно, но с чего-то нужно начать. Жаль при поступлении в магистратуру не поможет 😢
Как быстро мы от программирования перешли к метапрограммированию, а от него к метапромптингу. Не знаю, есть такие термины или нет, но мне как-то сами в голову пришли.
С метапрограммированием понятно. Это вайбкодинг.
А метапромптинг – это:
• когда ты делаешь агентскую систему, для которой в принципе код писать не нужно: только промпты, да обвязки настраивать: mcp/skills/plugins
• даже промпты для своей системы ты пи…
⭐️ Week News – новости мира AI за неделю
⏹️ Anthropic ⏹️
• Несколько человек получили доступ к Claude Mythos, угадав URL.
• Anthropic признали, что последний месяц качество работы Claude Code было снижено из-за нескольких багов. Проблему пофиксили.
• Antropic тестируют исключение Claude Code из подписки за $20. Пока, по всей видимости, проводят A/B тест на паре процентов новых пользователей, но в будущем возможна …
Deepseek V4, когда попросили разделить 4 апельсина между 4 детьми
«Одним ножом убить (или сильно напугать) одного из детей. Тогда оставшимся трем достанется по одному целому апельсину и еще один в придачу»
Уж не знаю, совпадение или Татьяна Ким читает мой блог :)
Но буквально за последний месяц 3 недостатка работы в Wildberries из моего поста были ликвидированы (почти):
• Прислали корпоративный макбук. Хотя это казалось невозможным и не двигалось с места на протяжении более чем года.
• Добавили чуть бенефитов, например, сделали бесплатную подписку WB Клуба (бесполезная вещь, но просто я прям про нее писал)
• Пригла…
Начал писать дипломную работу. Для черновиков использовал markdown-файлы в vscode, естественно чтобы пользоваться Claude Code. Я-то думал, ща как напишу диплом с клодом...
К моему удивлению, Claude ужасно работает с текстами. Пробовал, чтобы и сам генерировал и через скил humanizer, который более человечные тексты пишет – результат отстойный. Какой-то корявый текст что ли, не знаю, как объяснить.
Потом попробовал д…
Showing the 12 most recent of 18 posts we hold for @moving_to_ds. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“Переходим в Дата Сайенс” (@moving_to_ds), 63 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/moving_to_ds.
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.
