Деньги — это следствие работы твоего мозга.
Разбираем нейрофинансы, ловушки мышления и экономику внимания.
MAX - https://max.ru/Pro_FinGram
РКН - https://clck.su/jUaoJ
Автор @hbd76
Created
25 October 2021 — measured — cross-checked against a third-party dataset (ext.tg_channel)
Education — 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 21 August 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.
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 in near-verbatim form 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 (3 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
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 85 comparable posts for this entry, running 13 July 2026 to 9 November 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).
Recorded under the key clone_mutual, last confirmed 11 November 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
63 measurements spanning 95 days, net -2,237. 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 46,863–50,167 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 63
Measured (UTC)
Subscribers
Change
10 Nov 2026, 09:49
47,549
+11
9 Nov 2026, 01:10
47,538
-53
7 Nov 2026, 15:16
47,591
-46
6 Nov 2026, 13:28
47,637
-18
5 Nov 2026, 11:38
47,655
+41
4 Nov 2026, 10:48
47,614
+13
3 Nov 2026, 09:54
47,601
+29
2 Nov 2026, 11:49
47,572
+27
1 Nov 2026, 09:37
47,545
-23
31 Oct 2026, 10:08
47,568
+20
30 Oct 2026, 13:08
47,548
-229
29 Oct 2026, 12:26
47,777
-12
28 Oct 2026, 08:27
47,789
+87
27 Oct 2026, 05:49
47,702
+2
26 Oct 2026, 06:46
47,700
+37
25 Oct 2026, 06:00
47,663
+20
24 Oct 2026, 09:16
47,643
-64
23 Oct 2026, 12:29
47,707
+38
22 Oct 2026, 09:54
47,669
+50
21 Oct 2026, 04:57
47,619
first reading
Engagement
94 posts held, back to 13 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 204 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
17.0%
avg views ÷ 47,549 subscribers
Avg views / post
8,090
21 posts measured
Reaction rate
2.03%
reactions ÷ views · ER floor
Posts in window
22
of 94 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 19 of 21 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 11 November 2026
Posts held
94 (13 July 2026 – 11 November 2026)
Views total
169,920
Reactions total
3,101
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 06:20 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
≈3,220
Videos
≈21
Links
≈3,300
Lifetime counters from Telegram’s own channel header, read 11 November 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.
Reaction mix
8,293 reactions across 70 posts, in 7 distinct kinds. The most used accounts for 50.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
4,201
50.7%
🔥
3,860
46.5%
👏
70
0.844%
🎉
67
0.808%
❤
50
0.603%
🥰
43
0.519%
💯
2
0.024%
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 70 of the 94 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 8,293 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 94 most recent posts we hold, published 13 July 2026 to 11 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: 0 of 22 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).
🧘 #ДеньгиБезСуеты — «Кошелек, подожди!»: китайский способ не покупать лишнее
В Китае к распродажам 11.11 завирусилось приложение, где перед покупкой нужно объяснить незнакомцам, зачем тебе эта вещь. Они голосуют: одобрить или отклонить. Уже больше 300 тысяч пользователей.
Народ решает по-своему: воду за 25 ₽ забраковали («попей из кулера»), а купальник-лосось за 2 000 ₽ одобрили — аргумент про «стать в бассейне упи…
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Признайтесь, сколько вы ежемесячно платите за мобильную связь всей семьей? Чаще всего каждый платит сам за себя: у мужа свои 30 ГБ, у жены свои, у ребенка еще сколько-то. В итоге половина интернета «сгорает» в конце месяца, а операторы тихо списывают деньги за воздух.
Как оптимизировать связь без потери комфорта:
• Общие…
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Протеиновый батончик, йогурт с повышенным содержанием белка, белковое печенье — такие продукты всё чаще встречаются в обычных магазинах. А рядом с ними стоят привычные яйца, творог, фасоль и курица.
Возникает вопрос: действительно ли продукты с надписью protein полезнее? И стоит ли платить за них больше?
📈 Почему протеин о…
📊 #ЛичныйКапитал — Личная «фин‑панель» на один экран: 6 показателей, которые реально стоит смотреть раз в неделю
Многие ненавидят вести бюджет, потому что пытаются записывать каждую чашку кофе и скрупулезно делить чеки по десяткам категорий. Это быстро надоедает. Чтобы контролировать финансы, достаточно иметь перед глазами простую «панель приборов» из шести главных цифр.
Что стоит проверять раз в неделю (всего 5 м…
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В личном капитале принято считать активами вклады, акции и недвижимость. Но у специалиста и небольшого бизнеса есть актив, который стоит дороже многих финансовых инструментов, — репутация. И повышение цен — один из самых чувствительных тестов на её прочность.
Как рост цен работает на репутацию, а не против неё:
• Цена как сигнал качества: слишком дешёвая услуга вызыв…
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Считаем точку безубыточности. Если вы поднимаете цену на 7%, вы теряете ноль в выручке до тех пор, пока отток клиентов не п…
Почему «маленькие траты» убивают ваш бюджет (и как их остановить)
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Почему?
— Эффект накопления: 200₽ × 30 дней = 6000₽. Это не «ничто» — это месяц аренды.
— Психологическая ловушка: «Это дешево» → мозг игнорирует накопительный эффект.
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(Кратко из статьи ↩️)
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🏦 Почему ПДС:
• Государство софинансирует взносы: при доходе до 80 тыс. ₽ в месяц — рубль на рубль (максимум 36 тыс. ₽ в год)
• Вычет НДФЛ 13–22% с суммы до 400 тыс. ₽ в год
•…
Showing the 12 most recent of 94 posts we hold for @Pro_FinGram. 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 recorded as deleted after publishing
We recorded 13 posts on @Pro_FinGram 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
2 days
Seen missing in the last 30 days
5
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@Pro_FinGram named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@aliyahsbuckles named in 2 posts, 8 August 2026 – 12 August 2026
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 26 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.
Предприниматель @predprinimatelya · 50,798 Telegram ranks this channel #3 of 70 here — alongside 69 others — read 25 August 2026
Азбука Денег | Финансы @azbukamoney · 81,088 Telegram ranks this channel #4 of 73 here — alongside 72 others — read 18 August 2026
Бизнес говорит 📣 @gobizness · 25,912 Telegram ranks this channel #6 of 70 here — alongside 69 others — read 12 September 2026
Бизнес Победителей @biznes_pobedy · 76,086 Telegram ranks this channel #9 of 69 here — alongside 68 others — read 19 August 2026
Мотивация @motivator762 · 20,158 Telegram ranks this channel #14 of 75 here — alongside 74 others — read 26 September 2026
Бизнес Личность @Business_lichnost · 32,253 Telegram ranks this channel #17 of 74 here — alongside 73 others — read 18 September 2026
ElonNews: бизнес, финансы, экономика @elonn_news · 32,860 Telegram ranks this channel #19 of 78 here — alongside 77 others — read 4 September 2026
Мотивация Хозяина Судьбы @hozyainsudby · 24,814 Telegram ranks this channel #22 of 78 here — alongside 77 others — read 15 September 2026
Финансы Мотивация Интервью Вдохновение @motivatsia7 · 50,252 Telegram ranks this channel #32 of 69 here — alongside 68 others — read 24 August 2026
Бизнес Кийосаки @Business_University · 172,733 Telegram ranks this channel #36 of 63 here — alongside 62 others — read 12 August 2026
Коэффициент Продуктивности @productivity_Q · 26,511 Telegram ranks this channel #37 of 84 here — alongside 83 others — read 12 September 2026
Из Нуля в Единицы • Бизнес и Финансы @nul1biz · 50,264 Telegram ranks this channel #39 of 62 here — alongside 61 others — read 25 August 2026
БОГАТЫЙ ПАПА |БИЗНЕС МОТИВАЦИЯ @rich1_dad1 · 24,336 Telegram ranks this channel #40 of 72 here — alongside 71 others — read 15 September 2026
Миллионы | Бизнес блог @gain_business · 175,744 Telegram ranks this channel #40 of 70 here — alongside 69 others — read 12 August 2026
Создай Себя | Саморазвитие @fitnessamorazvit · 23,229 Telegram ranks this channel #41 of 65 here — alongside 64 others — read 16 September 2026
О Бизнесе @o_busines · 39,761 Telegram ranks this channel #44 of 68 here — alongside 67 others — read 30 August 2026
Бизнес Идеи 2.0 | Антон Матвеев @idea2_0 · 100,675 Telegram ranks this channel #49 of 83 here — alongside 82 others — read 15 August 2026
САМОРАЗВИТИЕ 🎙 @podcast_motivator · 20,950 Telegram ranks this channel #59 of 76 here — alongside 75 others — read 23 September 2026
This channel appears in 18 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Про Финансовую Грамотность” (@Pro_FinGram), 47,549 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/Pro_FinGram.
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.