Education — 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 85% 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
60 measurements spanning 90 days, net +5,981. 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 23,998–33,527 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
5 Nov 2026, 08:45
31,099
-6
4 Nov 2026, 10:40
31,105
-12
3 Nov 2026, 08:47
31,117
-18
2 Nov 2026, 08:36
31,135
-5
1 Nov 2026, 10:44
31,140
-2
31 Oct 2026, 13:46
31,142
-2
30 Oct 2026, 12:44
31,144
-24
29 Oct 2026, 11:17
31,168
-7
28 Oct 2026, 11:16
31,175
-6
27 Oct 2026, 12:31
31,181
-15
26 Oct 2026, 13:49
31,196
-16
25 Oct 2026, 14:28
31,212
-12
24 Oct 2026, 13:30
31,224
-17
23 Oct 2026, 14:06
31,241
-18
22 Oct 2026, 10:30
31,259
-24
21 Oct 2026, 03:47
31,283
-18
20 Oct 2026, 02:41
31,301
-13
19 Oct 2026, 04:07
31,314
-12
18 Oct 2026, 03:05
31,326
-11
17 Oct 2026, 06:27
31,337
first reading
Engagement
387 posts held, back to 28 July 2023 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 162 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.27%
avg views ÷ 31,099 subscribers
Avg views / post
1,020
144 posts measured
Reaction rate
1.09%
reactions ÷ views · ER floor
Posts in window
144
of 387 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. It is computed over the 107 of 144 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 5 November 2026
Posts held
387 (28 July 2023 – 5 November 2026)
Views total
146,287
Reactions total
1,220
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Nov 2026, 23:59 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
293
Videos
30
Links
164
Lifetime counters from Telegram’s own channel header, read 5 November 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
51m 00s
Average length
1m 15s
Measured directly from 41 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
6,134 reactions across 307 posts, in 14 distinct kinds. The most used accounts for 45.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,805
45.7%
🔥
1,662
27.1%
👍
1,155
18.8%
💯
129
2.10%
😍
95
1.55%
👌
86
1.40%
✍
68
1.11%
🥰
55
0.897%
🎉
32
0.522%
🙏
32
0.522%
😁
7
0.114%
👾
6
0.098%
😭
1
0.016%
🤓
1
0.016%
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 313 of the 387 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 6,134 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 387 most recent posts we hold, published 28 July 2023 to 5 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.
Recent posts
Telegram’s own ‘edited’ marker: 7 of 144 posts held from the last 30 days (4.86%) 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).
Оля Гогаладзе ставит на паузу инвестиции в ИИ-компании
Акции Alphabet (Google) обвалились на -13% сразу после публикации отчета за 3 квартал.
На бумаге все выглядит отлично:
▪️выручка выросла на 25%
▪️ облачный бизнес взлетел на 103%.
Но инвесторов напугали миллиардные расходы на ИИ-оборудование.
Главная проблема в том, что Google сейчас буквально стреляет себе в ногу. Они вливают гигантские деньги в нейросети. Пр…
Кризис – лучшее, что может случиться с дивидендными акциями
2008, 2014, 2020 и 2022 годы казались катастрофой, но для дивидендного инвестора это были возможности. Считаем 👇
Если Сбербанк платит 40₽ дивидендов, то:
▪️ при покупке акций за 150₽ вы получите 26% дивидендной доходности
▪️при цене акции 70₽ получите больше 50% доходности
Сейчас цены на сильные компании просели. Почему именно сейчас нужно использовать эт…
👶 Лазейку с «декретом на один день» для отцов хотят закрыть
Отцам больше не удастся оформить отпуск по уходу за ребенком на один день ради максимальных пособий.
Полный выпуск можете посмотреть тут ↓
📺 СМОТРЕТЬ НА YOUTUBE
📺 СМОТРЕТЬ НА RUTUBE
💙 СМОТРЕТЬ В ВК
📝 СМОТРЕТЬ НА ДЗЕН
С праздником! С Днём народного единства! 🇷🇺
Желаем вам тепла в доме, душевного спокойствия и уверенности в каждом решении. Пусть в ваших семьях всегда царят согласие и поддержка! ✨
В ноябре нужно заплатить налоги. Не забудьте про вклады
Если не заплатить до 1 декабря, начнут капать пени. Оплатить можно в пару кликов: через Госуслуги, кабинет ФНС или по QR-коду в приложении вашего банка.
Рассчитать налог на вклады на калькуляторе ⬇️
3 года.
Именно столько нужно времени, чтобы в инвестициях началось самое интересное.
В первые 2 года ваши накопления растут в основном за счет ваших пополнений. Но с 3 года начинает включаться магия сложного процента.
Посчитайте сами: зайдите в калькулятор сложного процента, введите вашу сумму ежемесячного пополнения и посмотрите, как ежегодно меняется график.
Канал в MAX | Канал в TG
Где читать каналы pro.finansy, если Telegram работает с перебоями?
📲 Финсоветы - вы узнаете: как заставить небольшие вложения работать на вас и основу финансовой грамотности
📲 Академия - канал о pro.finansy изнутри: события в компании, инвестиции и сотрудники
📲 6 способов - все об инвестициях для новичков: инструменты и подборки бумаг
📲 Советы для жизни - канал для тех, кто хочет всегда решать важные вопросы …
⚡️ IT-ИПОТЕКУ ОТМЕНЯТ?
В новом выпуске финансовых новостей также узнаете:
- что произошло с криптобиржей Binance
- зачем Путин созванивался с европейскими лидерами
- как переговоры России и Украины влияют на российские акции
- что изменится в выплатах по уходу за ребёнком
- почему американские технологические акции падают
- что происходит с акциями Nvidia, Google и Microsoft
- почему российский рынок вырос на 11%
- …
От школьных подработок к счету на 400 000₽! История Андрея
В 14 лет Андрей начал подрабатывать и захотел сразу правильно распоряжаться деньгами.
Сейчас:
✅ 400 000₽ к 19 годам
✅ сформированные финансовые привычки
✅ грамотно распоряжается любым доходом
Для этого Андрей:
1. начал откладывать первые деньги с подработок еще в 14 лет
2. получил знания на программах pro.finansy
3. РЕГУЛЯРНО направляет часть дохода в ин…
❤1
Showing the 12 most recent of 387 posts we hold for @alwaysbemoney. 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
@alwaysbemoney edited 6 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
21 August 2026
Most recent edit
2 November 2026
Posts recorded as deleted after publishing
We recorded 17 posts on @alwaysbemoney as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
11 August 2026
Most recent seen missing
5 November 2026
Median time before seen missing
5 days
Seen missing in the last 30 days
2
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.
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 6 September 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.
Сценарии рынка РФ | Лекция для выпускников pro.finansy @ipomaniaa · 20,450 Telegram ranks this channel #11 of 73 here — alongside 72 others — read 30 September 2026
Ответы от Оли Гогаладзе @pravda_pro_finansy · 36,317 Telegram ranks this channel #14 of 82 here — alongside 81 others — read 1 September 2026
Марафон по финансовой грамотности | pro.finansy @igra_profinansy · 45,235 Telegram ranks this channel #14 of 83 here — alongside 82 others — read 27 August 2026
PRO.FINANSY @profinansy_post · 62,182 Telegram ranks this channel #14 of 83 here — alongside 82 others — read 21 August 2026
pro.finansy | дети @pro_finansy_kids · 62,546 Telegram ranks this channel #14 of 86 here — alongside 85 others — read 21 August 2026
52 недели богатства | pro.finansy @weeks52wealth · 32,050 Telegram ranks this channel #15 of 80 here — alongside 79 others — read 5 September 2026
Олюшка и крипта l pro.finansy @investiruy_ru · 45,393 Telegram ranks this channel #15 of 83 here — alongside 82 others — read 27 August 2026
Про инвестиции от финконсультантов pro.finansy @profinansy_ru · 41,056 Telegram ranks this channel #16 of 87 here — alongside 86 others — read 29 August 2026
Мужской взгляд на деньги | pro.finansy @investnews_profinansy · 21,436 Telegram ranks this channel #19 of 73 here — alongside 72 others — read 22 September 2026
Агрегатор инвест идей | pro.finansy @investforbegginers · 57,330 Telegram ranks this channel #19 of 84 here — alongside 83 others — read 22 August 2026
Закон и финансы | pro.finansy @zf_profinansy · 22,256 Telegram ranks this channel #21 of 88 here — alongside 87 others — read 20 September 2026
Школа финансовой грамотности | pro.finansy @invest_profinansy · 36,843 Telegram ranks this channel #21 of 88 here — alongside 87 others — read 4 September 2026
Финсоветы | pro.finansy @finhacker_profinansy · 21,075 Telegram ranks this channel #22 of 81 here — alongside 80 others — read 24 September 2026
Акции с Ольгой Гогаладзе l pro.finansy @profinansy_equity · 51,973 Telegram ranks this channel #22 of 84 here — alongside 83 others — read 24 August 2026
Академия PRO.FINANSY @profinansy_academy · 82,557 Telegram ranks this channel #22 of 87 here — alongside 86 others — read 18 August 2026
Дивиденды | pro.finansy @div_profinansy · 74,402 Telegram ranks this channel #26 of 84 here — alongside 83 others — read 19 August 2026
Облигации | pro.finansy @obligaciipr · 56,816 Telegram ranks this channel #29 of 87 here — alongside 86 others — read 23 August 2026
pro.news | новости про деньги @profinansy_news · 85,425 Telegram ranks this channel #29 of 87 here — alongside 86 others — read 18 August 2026
Марина Осецкая PP_MARI_FOOD @pp_mari_food_official · 37,360 Telegram ranks this channel #77 of 84 here — alongside 83 others — read 31 August 2026
This channel appears in 19 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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“Куда инвестирует Ольга Гогаладзе | pro.finansy” (@alwaysbemoney), 31,099 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/alwaysbemoney.
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.