Personal blog — 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 52% 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
33 measurements spanning 49 days, net -408. 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 65,106–65,676 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
25 Sept 2026, 15:18
65,202
-178
17 Sept 2026, 09:15
65,380
-56
15 Sept 2026, 07:59
65,436
-19
13 Sept 2026, 15:40
65,455
-41
11 Sept 2026, 20:16
65,496
+306
9 Sept 2026, 08:40
65,190
+18
5 Sept 2026, 21:56
65,172
-13
3 Sept 2026, 21:37
65,185
-14
2 Sept 2026, 10:33
65,199
-16
1 Sept 2026, 11:24
65,215
-7
31 Aug 2026, 11:55
65,222
-39
30 Aug 2026, 10:23
65,261
-21
29 Aug 2026, 07:53
65,282
-35
28 Aug 2026, 04:34
65,317
+36
27 Aug 2026, 01:39
65,281
-12
26 Aug 2026, 03:24
65,293
-16
25 Aug 2026, 04:32
65,309
-10
23 Aug 2026, 22:58
65,319
-28
22 Aug 2026, 06:13
65,347
-14
20 Aug 2026, 21:53
65,361
first reading
Engagement
28 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 115 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
35.6%
avg views ÷ 65,202 subscribers
Avg views / post
23,200
11 posts measured
Reaction rate
6.98%
reactions ÷ views · ER floor
Posts in window
11
of 28 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 28 September 2026
Posts held
28 (13 July 2026 – 28 September 2026)
Views total
255,400
Reactions total
17,830
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
1 Oct 2026, 16:36 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
257
Videos
52
Links
84
Lifetime counters from Telegram’s own channel header, read 1 October 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
2m 59s
Average length
1m 00s
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
44,684 reactions across 28 posts, in 30 distinct kinds. The most used accounts for 60.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
27,014
60.5%
🔥
7,557
16.9%
😁
3,757
8.41%
❤🔥
2,116
4.74%
👏
855
1.91%
💔
726
1.62%
🥰
549
1.23%
😱
415
0.929%
💯
255
0.571%
🙏
227
0.508%
🤗
220
0.492%
🤔
182
0.407%
😍
168
0.376%
🎉
115
0.257%
😭
92
0.206%
😢
77
0.172%
⚡
58
0.13%
🕊
49
0.11%
👀
45
0.101%
🙉
44
0.098%
10 further kinds
163
0.365%
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 28 of the 28 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 44,684 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 13 July 2026 to 28 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
95
across the posts below
Posts paid on
16
of 28 we hold a reading for · 57%
Most on one post
51
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @Kkkrem_daily. 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 28 most recent posts we hold for this entry, published 13 July 2026 to 28 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.
Advertising
Ad load
3.57%
1 of 28 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
31,800
over 1 measured post
Median views · rest
26,600
over 27 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
2VtzqwwYSQr
1
15 July 2026
15 July 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 28 most recent posts we hold, published 13 July 2026 to 28 September 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.
Привет! Сегодня та самая рубрика, в которой я рассказываю про когнитивные искажения, которые мешают нам жить, и пытаюсь на своем примере показать, как они работают.
В этот раз хочу рассказать про «Персонализацию» – когда мы всё воспринимаем на свой счёт.
Давным-давно, в тридесятом царсте, в тридевятом государстве, когда у меня были отношения, это когнитивное искажение вылезало там постоянно.
Партнеру грустно → «я …
Помните, мы с вами обсуждали, кто как использует ИИ для психологической помощи?
Просто чтоб вы знали – вышла книжка, где психологи с огромным практическим опытом, научными степенями и кучей подходов в арсенале выпустили книгу с готовыми промтами (инструкциями, наставлениями) для ИИ.
Промты максимально продуманные, некоторые - объемом по 3 страницы))
Заскринила оглавление, чтоб вы посмотрели, какие там есть темы.
C…
У вас в начальной школе были тесты на скорость чтения?
Весь класс сидит за партами, у учителя на столе лежит книга. В ней каждое слово пронумеровано карандашом. Учитель засекает таймер, и ты перед всем классом читаешь на скорость. Я очень волновалась и кое-как успевала прочитать 80 слов за минуту… а кто-то читал по 120. Мой результат был ниже среднего, как у троечников, мне было очень стыдно.
Еще одно воспоминание:…
Обычно я не фокусируюсь на трудностях и потерях прошлого, потому что голова вечно занята проблемами настоящего)
Но конференция «Психодемии» заставила меня оглянуться на два года назад и задуматься о том, чего стоил мне переход из инста-блогера в начинающего психолога?
Итак, я потеряла: 50 тыщ подписчиков, 2/3 охвата в сторис, приглашения на подкасты и интервью, в деньгах – примерно 2 тыщи евро… пришлось отказаться о…
Здесь есть люди, которые знакомы с нашей семьей ещё с 2018 года. Тёма тогда ходил в детский сад.
Как-то я купила ему в H&M три новые пары штанов, две из них он порвал за один день. Я шутила в сторис, что у меня многоразовый сын и одноразовые штаны.
Вот специально для этих людей – фото его официальной рубашки, купленной неделю назад. Ребёнок надел её ровно один раз, вернулся с пятнами на рукавах. Теперь ему 15, он …
Только что закончилось вручение «Эмми» - главной сериальной награды.
Лучший сериал года - «Бухта вдов» (14 статуэток)
Лучший мини-сериал - «Готов к сексу. Сент-Луис» (7 статуэток)
Лучшая актриса - «Из многих» (Pluribus) (6 статуэток)
Все эти сериалы есть в нашей озвучке!!
Еще мы озвучивали «У Марго проблемы с деньгами» - он получил статуэтки за грим, костюмы и прически.
Вы знаете, что я закончила в «Психодемии» два курса и через месяц иду уже на третий.
Сегодня хочу позвать вас на бесплатный день открытых дверей, где я буду одним из публичных гостей. Он пройдет онлайн, 20 сентября.
Там будут лекции и практики для тех:
1) кто хочет стать психологом
2) кто интересуется психологией для себя.
Например, мой куратор по прошлогоднему курсу КПТ, Екатерина Верченова, расскажет про тревогу…
Чем кончилось дело с подсчетом калорий?
Предыстория: в феврале я впервые в жизни начала взвешивать еду и считать БЖУ, села на маленький дефицит и начала больше ходить. Цель: минус 9 кг (64,5 ➡️55,5) За весну ушло 5 кг.
Летом подзабила: продолжила взвешиваться раз в неделю, но калории считала всего 7 дней в месяц, а остальные 3 недели не напрягалась😇 Вес продолжил снижаться, потому что пищевые привычки перестроились…
В школе французского начался новый учебный год. У меня новая группа, новый, снова классный, учитель.
На первом уроке нам задали написать текст о себе на 200 слов без словаря и без использования ИИ. Было скучно писать о том, сколько мне лет, и что я люблю. Поэтому я решила написать «Что я поняла о себе в эмиграции». На фото еще не проверенный оригинал, внизу перевод:
«Я эмигрант. Переехала в Португалию 4 года назад.…
На часах 00:00, завтра понедельник, вставать в школу в 7 утра. Сын заходит ко мне в комнату с вопросом: "Мам, а как ты моешь пол?"
Он решил вот сейчас навести порядок в туалете. У него свой туалет и душ, клининга у нас нет уже больше года, я убираю дома сама, но к его зоне принципиально не прикасаюсь, потому что надеюсь вырастить мужчину, который умеет мыть унитаз. И вот сейчас, в полночь, этот мужчина появляется на…
Две микро-рекомендации:
1) Очень хорошая повесть про девочку с ОКР - "Это не лечится" Анна Лукианова. Её сравнивают с "Похороните меня за плинтусом" Санаева, мне такое сравнение не нравится, но я тоже его написала, чтоб вы поняли, что это не Бакман) Это детство подростка в Российской провинции как оно есть. Если бы у меня как у психолога был клиент с ОКР, обязательно советовала бы прочитать.
2) Молодой интересный п…
❤604🔥109❤🔥52
Showing the 12 most recent of 28 posts we hold for @Kkkrem_daily. 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.
Posts edited after publishing
@Kkkrem_daily edited 1 post 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
25 September 2026
Most recent edit
25 September 2026
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Мы с мамой на 5 дней в Армении. Я решила в эти дни сторис поснимать. Скажите, вы в инсте посмотрите? Или сюда тоже постить?
Сюда тоже надо выложить52%
Посмотрим в инсте56%
The shares total 108%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 28 most recent posts we hold, published 13 July 2026 to 28 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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 1 registered channel — 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 21 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.
Маша, давай! @masha_davay · 54,844 Telegram ranks this channel #1 of 81 here — alongside 80 others — read 23 August 2026
morskaya_pipiska @morskaya_pipiska · 34,889 Telegram ranks this channel #2 of 71 here — alongside 70 others — read 2 September 2026
Оля Макарова | личное и публичное | @olla_makarovaa · 20,520 Telegram ranks this channel #4 of 84 here — alongside 83 others — read 26 September 2026
Ярослава Рындина @yarapsy · 24,352 Telegram ranks this channel #5 of 83 here — alongside 82 others — read 16 September 2026
Olymarkes Daily @markesdaily · 28,103 Telegram ranks this channel #14 of 85 here — alongside 84 others — read 9 September 2026
У Холмов Есть Подкаст @uholmov · 24,891 Telegram ranks this channel #15 of 76 here — alongside 75 others — read 16 September 2026
Доктор Галеева @doctor_galeeva · 28,590 Telegram ranks this channel #17 of 89 here — alongside 88 others — read 9 September 2026
mariiarichard @mariiarichard · 22,287 Telegram ranks this channel #19 of 72 here — alongside 71 others — read 21 September 2026
Завтрак с Килиной @zavtrak_s_Kilinoy · 62,582 Telegram ranks this channel #19 of 82 here — alongside 81 others — read 21 August 2026
Пролетарии всех стран @proletariyi · 25,821 Telegram ranks this channel #20 of 85 here — alongside 84 others — read 13 September 2026
книжная жаба @booktoad · 38,541 Telegram ranks this channel #23 of 64 here — alongside 63 others — read 31 August 2026
Доктор Сапият @sunxsteel · 26,237 Telegram ranks this channel #24 of 79 here — alongside 78 others — read 12 September 2026
Сабина Филина | Домашние тренировки @sabintag · 68,930 Telegram ranks this channel #24 of 67 here — alongside 66 others — read 20 August 2026
Mary_chemi @marychemi · 20,333 Telegram ranks this channel #25 of 81 here — alongside 80 others — read 28 September 2026
stalinka_na_mojaike @stalinka_na_mojaike1 · 112,940 Telegram ranks this channel #25 of 76 here — alongside 75 others — read 21 August 2026
rebel woman @tashatale · 24,642 Telegram ranks this channel #27 of 69 here — alongside 68 others — read 21 September 2026
ПАВЕЛ КЕЙК @cakepavel · 39,554 Telegram ranks this channel #27 of 84 here — alongside 83 others — read 30 August 2026
Alter @psyalter_ru · 26,803 Telegram ranks this channel #29 of 92 here — alongside 91 others — read 11 September 2026
YaAndArt. Искусство, история, культура @YaAndArt · 30,930 Telegram ranks this channel #30 of 93 here — alongside 92 others — read 6 September 2026
Киноблогер с хвостатыми | syilers @syilers26 · 101,988 Telegram ranks this channel #31 of 72 here — alongside 71 others — read 1 September 2026
АЛЕКСАНДРА ФРАНЦ про ХИМИЮ @chemistry_frants · 45,273 Telegram ranks this channel #31 of 80 here — alongside 79 others — read 27 August 2026
Это нормально @vintovkina_arina · 68,380 Telegram ranks this channel #33 of 82 here — alongside 81 others — read 20 August 2026
«ВЫШЕ ТОЛЬКО ЛЮБОВЬ» @very_ire · 21,817 Telegram ranks this channel #34 of 83 here — alongside 82 others — read 22 September 2026
Двое в животе @dvoe_v_zhivote · 34,441 Telegram ranks this channel #34 of 62 here — alongside 61 others — read 3 September 2026
This channel appears in 67 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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Сообщение от Кравцовой” (@Kkkrem_daily), 65,202 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/Kkkrem_daily.
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.