Other / unclassifiable — 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 9 August 2026 and assigned it the closest of 31 fixed categories, at 60% 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 why it has no browse page of its own yet.
Growth
28 measurements spanning 32 days, net +1,004. 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 154,598–156,343 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 28
Measured (UTC)
Subscribers
Change
6 Sept 2026, 23:01
155,803
-76
4 Sept 2026, 07:18
155,879
-2
2 Sept 2026, 23:46
155,881
-1
1 Sept 2026, 22:09
155,882
-15
31 Aug 2026, 19:44
155,897
+12
30 Aug 2026, 20:54
155,885
-32
29 Aug 2026, 19:58
155,917
-16
28 Aug 2026, 19:42
155,933
-9
27 Aug 2026, 20:02
155,942
-91
26 Aug 2026, 17:44
156,033
-53
25 Aug 2026, 18:52
156,086
-25
24 Aug 2026, 18:22
156,111
-31
23 Aug 2026, 02:23
156,142
+59
21 Aug 2026, 14:35
156,083
+40
20 Aug 2026, 12:36
156,043
+138
19 Aug 2026, 10:14
155,905
+298
18 Aug 2026, 09:33
155,607
+659
17 Aug 2026, 12:45
154,948
-61
16 Aug 2026, 05:37
155,009
-32
14 Aug 2026, 13:55
155,041
first reading
Engagement
33 posts held, back to 23 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 69 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
16.6%
avg views ÷ 155,803 subscribers
Avg views / post
25,800
18 posts measured
Reaction rate
1.55%
reactions ÷ views · ER floor
Posts in window
18
of 33 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 September 2026
Posts held
33 (23 July 2026 – 7 September 2026)
Views total
464,220
Reactions total
7,201
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Sept 2026, 03:45 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
≈2,720
Videos
≈444
Links
≈938
Lifetime counters from Telegram’s own channel header, read 8 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
4m 14s
Average length
1m 25s
Measured directly from 3 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
15,857 reactions across 31 posts, in 16 distinct kinds. The most used accounts for 50.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
8,031
50.6%
👍
3,939
24.8%
🔥
2,236
14.1%
😁
728
4.59%
👏
275
1.73%
🤝
248
1.56%
😭
121
0.763%
🍾
70
0.441%
🤣
49
0.309%
🥰
35
0.221%
❤🔥
34
0.214%
🙏
28
0.177%
👌
22
0.139%
🤷♀
20
0.126%
😍
14
0.088%
🤩
7
0.044%
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 33 of the 33 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 17,190 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 23 July 2026 to 7 September 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
37
across the posts below
Posts paid on
25
of 33 we hold a reading for · 76%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nastya_docs. 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 33 most recent posts we hold for this entry, published 23 July 2026 to 7 September 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.
Что сейчас происходит с российской экономикой?
На Восточном экономическом форуме Герман Греф заявил, что российская экономика переохладилась. Максим Решетников также признал, что инвестиции по итогам года, вероятно, сократятся, однако назвал происходящее естественным охлаждением после нескольких лет быстрого роста.
Но свежая статистика показывает, что проблемы уже не ограничиваются замедлением ВВП или дорогими кред…
При недостатке топлива нефтяные компании в первую очередь снабжают оборонные и промышленные предприятия, аграриев, муниципальные службы и северные регионы. Независимые заправки получают меньше топлива и вынуждены закупать его дороже. Рост стоимости бензина и дизеля затем попадает в транспортные расходы, себестоимость продукции и потребительские цены.
Одновременно уменьшаются нефтегазовые доходы бюджета. В августе он…
Вижу много вопросов про Ии, поэтому даже не дожидаясь вебинара решила сделать для вас цикл видео с базой-базой.
Начнем с того, что искусственный интеллект вообще такое🙌🏻
А регистрация на веб по ссылке, встречаемся 8 сентября в 19.00 по Москве😉
🎙ИИ: как зарабатывать больше и работать меньше
Бесплатный вебинар — 8 сентября в 19:00 мск
Друзья, сегодня 1 сентября. Школьники и студенты начинают новый учебный год, а взрослые возвращаются в рабочий режим: строят планы, берутся за новые проекты и, конечно, хотят больше зарабатывать.
Только часов в сутках с наступлением сентября почему-то больше не становится 😁 Поэтому давайте разбираться, как с помощью ИИ зараба…
С 1 сентября вступает в силу новый закон о криптовалюте
Что изменится? Как теперь пользоваться криптой? И как не попасть на проблемы с законом?
Рассказала в новом выпуске, посмотреть можно на ютубе по ССЫЛКЕ
И не забывайте там под видео ставить лайки и оставлять комментарии, это помогает продвижению канала. Заранее спасибо!🩷
Друзья, вижу просьбы под предыдущим постом из серии «а сделайте еще таблицу про страну Х» - так не пойдет, потому что вы и сами можете научиться делать подобное самостоятельно. И даже лучше, потому что только вы знаете, как конкретно ИИ может вам помочь.
24 сентября стартует второй поток моего курса ИИзи - где я рассказываю все про искусственный интеллект. От того, что это вообще такое и как работает, до супер прикл…
И вторую таблицу вам накидала. Типа «куда поехать, если денег нет, надо сразу работать, что по документам и идеям».
❗️Подчеркну, что это лишь пример того, что можно делать. Все зависит от вашего запроса, задачи и тп.
Это пример таблицы по США. Такую же можно сделать по разным странам, разным видам занятости. Можно внутри России просчитать налоги.
Все что угодно можно, ограничение - только ваша фантазия😎
Я иногда не хочу писать о чем-то, что мне кажется слишком очевидным, пост. Но потом думаю - а вдруг кому-то это будет полезным? И сажусь за текст👇🏻
Так вот и сейчас - я уже рассказывала, как активно использую ИИ для планирования путешествий. Но еще важно бы рассказать, как он помогает при иммиграции. Или раздумьях переезжать или нет.
Я в инстаграме говорила, что мы просчитываем варианты переезда в США, но главный к…
Друзья мои, подобные предложения - это мошенники!
Я никакие деньги в управление не беру. Тем более 10 тысяч рублей😁
А те, кто обещают сделать из них за пару дней 200 - а херли тогда из своей 10ки то не сделали, умники?😆 2000% доходности, я бы тоже так хотела.
❗️Мораль: никому никакие деньги не отправляем. Даже как бы «мне».
Мы много лет с мошенниками боремся, но они плодятся как мухи. Поэтому единственный способ …
Друзья, в блоге много новеньких, давайте познакомимся через вопросы ко мне? Все, кто стеснялся/интересовался/только пришел - спрашивайте🙌🏻
Коротко обо мне: меня зовут Настя, мне будет 35 лет через месяц. 15 лет замужем за лучшем в мире Юрой, трое детей - Эрик, почти 14 лет, и двойняшки Марк и Лиза, 12 лет.
Родилась и выросла в Москве, последние годы живем в Дубае, много путешествуем - посетила 45 стран.
Торгую на …
📌 Пассивный доход: с чего начать без миллионов и сказок про лёгкие деньги
Друзья, уже завтра, 20 августа в 19:00 мск, проведу вебинар про пассивный доход в рамках проекта «Порядок в деньгах».
Многие хотят, чтобы деньги однажды приходили не только из зарплаты: был регулярный доход, больше свободы и меньше зависимости от работы. Но часто откладывают тему пассивного дохода, потому что кажется: «Сначала надо накопить м…
❤108👍36😁6🔥1
Showing the 12 most recent of 33 posts we hold for @nastya_docs. 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
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 3 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 12 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
ШЕРГИНА Юрист Финансовый советник @LawAndFinance · 69,585 Telegram ranks this channel #1 of 90 here — alongside 89 others — read 20 August 2026
Ksenia_finance @ksenia_finance · 76,362 Telegram ranks this channel #3 of 83 here — alongside 82 others — read 19 August 2026
Светлана Шишкина. Как жить лучше @sveta_economy · 31,312 Telegram ranks this channel #5 of 89 here — alongside 88 others — read 6 September 2026
Записки юной пенсионерки @kiltauolgafinance · 54,262 Telegram ranks this channel #5 of 89 here — alongside 88 others — read 24 August 2026
Время=Деньги | Институт TIME$ @times_institute · 68,063 Telegram ranks this channel #8 of 94 here — alongside 93 others — read 20 August 2026
Crypto by Nastya Docs @nastya_docs_crypta · 38,594 Telegram ranks this channel #12 of 85 here — alongside 84 others — read 31 August 2026
Александра Вальд Инвестиции @life_and_invest · 30,232 Telegram ranks this channel #15 of 97 here — alongside 96 others — read 7 September 2026
Акции с Ольгой Гогаладзе l pro.finansy @profinansy_equity · 52,510 Telegram ranks this channel #19 of 84 here — alongside 83 others — read 24 August 2026
Школа безопасных инвестиций @finraonline · 44,282 Telegram ranks this channel #22 of 94 here — alongside 93 others — read 3 September 2026
Свинкины финансы @svinfin · 34,845 Telegram ranks this channel #22 of 63 here — alongside 62 others — read 3 September 2026
Дубай by Nastya Docs @dubai_nastya_docs · 30,633 Telegram ranks this channel #23 of 82 here — alongside 81 others — read 7 September 2026
Лариса Суркова - larangsovet @larangsovetme · 112,756 Telegram ranks this channel #24 of 85 here — alongside 84 others — read 14 August 2026
Академия PRO.FINANSY @profinansy_academy · 83,571 Telegram ranks this channel #25 of 87 here — alongside 86 others — read 18 August 2026
Ольга Гогаладзе @profinansy · 579,391 Telegram ranks this channel #26 of 86 here — alongside 85 others — read 8 August 2026
Дмитрий Толстяков | Инвестиции и жизнь @dmitrytolstyakov · 34,672 Telegram ranks this channel #27 of 97 here — alongside 96 others — read 3 September 2026
Облигации | pro.finansy @obligaciipr · 57,526 Telegram ranks this channel #28 of 87 here — alongside 86 others — read 23 August 2026
Школа инвестора с Олей @invest_profinansy · 33,254 Telegram ranks this channel #29 of 88 here — alongside 87 others — read 4 September 2026
Куда инвестирует Ольга Гогаладзе | pro.finansy @alwaysbemoney · 31,570 Telegram ranks this channel #30 of 85 here — alongside 84 others — read 6 September 2026
Ответы от Оли Гогаладзе @pravda_pro_finansy · 36,636 Telegram ranks this channel #30 of 82 here — alongside 81 others — read 1 September 2026
Мила Левчук о любви @milalevchuk · 48,984 Telegram ranks this channel #30 of 76 here — alongside 75 others — read 26 August 2026
PRO.FINANSY @profinansy_post · 62,989 Telegram ranks this channel #32 of 83 here — alongside 82 others — read 21 August 2026
Кира Юхтенко @kira_pronira · 64,980 Telegram ranks this channel #33 of 100 here — alongside 99 others — read 21 August 2026
финансы.про @finance_pro_tg · 120,369 Telegram ranks this channel #36 of 86 here — alongside 85 others — read 14 August 2026
52 недели богатства | pro.finansy @weeks52wealth · 32,512 Telegram ranks this channel #38 of 80 here — alongside 79 others — read 5 September 2026
This channel appears in 60 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 6 September 2026 — this
entry's latest reading, not the date you are reading this.
“Анастасия Тарасова Nastya_Docs” (@nastya_docs), 155,803 subscribers as measured 6 September 2026. Telegram Register, tgregister.com/channel/nastya_docs.
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.