Канал об эффективности и продуктивности.
Здесь говорим о том, как устроен наш мозг. Интересные исследования.
Личный канал https://t.me/by_Kilina
По вопросам рекламы: [email protected]
https://knd.gov.ru/license?id=673a48566afad41667c331e9®istryType=b
Created
14 March 2018 — measured — cross-checked against a third-party dataset (TGDataset)
Health & wellness — 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 96% 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 93 days, net -1,078. 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 61,939–63,341 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
8 Nov 2026, 09:09
62,101
-8
7 Nov 2026, 00:39
62,109
-5
6 Nov 2026, 03:40
62,114
-4
5 Nov 2026, 02:46
62,118
-20
4 Nov 2026, 04:50
62,138
-7
3 Nov 2026, 07:34
62,145
-13
2 Nov 2026, 08:36
62,158
-21
1 Nov 2026, 10:26
62,179
-26
31 Oct 2026, 11:54
62,205
-11
30 Oct 2026, 14:49
62,216
-28
29 Oct 2026, 16:51
62,244
-2
28 Oct 2026, 16:16
62,246
-19
27 Oct 2026, 16:34
62,265
-56
26 Oct 2026, 15:28
62,321
-5
25 Oct 2026, 12:05
62,326
-13
24 Oct 2026, 12:27
62,339
-17
23 Oct 2026, 14:07
62,356
-13
22 Oct 2026, 14:57
62,369
+2
21 Oct 2026, 06:55
62,367
-23
20 Oct 2026, 02:30
62,390
first reading
Engagement
110 posts held, back to 28 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 194 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.6%
avg views ÷ 62,101 subscribers
Avg views / post
6,600
29 posts measured
Reaction rate
2.72%
reactions ÷ views · ER floor
Posts in window
29
of 110 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 6 November 2026
Posts held
110 (28 July 2026 – 6 November 2026)
Views total
191,540
Reactions total
5,217
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 13:27 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
≈1,020
Videos
≈1,020
Links
≈370
Lifetime counters from Telegram’s own channel header, read 8 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.
Video runtime
11h 23m
Average length
10m 31s
Measured directly from 65 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
22,809 reactions across 110 posts, in 22 distinct kinds. The most used accounts for 63.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
14,518
63.7%
🔥
3,085
13.5%
😁
2,348
10.3%
👍
1,308
5.73%
❤🔥
763
3.35%
custom 5343953413837189939
407
1.78%
🤩
77
0.338%
👏
76
0.333%
💘
75
0.329%
🥰
33
0.145%
⚡
32
0.14%
🤔
27
0.118%
😍
20
0.088%
☃
13
0.057%
🌚
10
0.044%
🎅
3
0.013%
👎
3
0.013%
😢
3
0.013%
🙉
3
0.013%
🎉
2
0.009%
2 further kinds
3
0.013%
Custom emoji. One 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 count beside it is Telegram’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 110 of the 110 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 22,809 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 110 most recent posts we hold, published 28 July 2026 to 6 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: 2 of 29 posts held from the last 30 days (6.90%) 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).
Интересные мы существа. Разговариваем с техникой, даём имена растениям, видим лица в случайных узорах. Наш мозг устроен так, что находит человеческое даже там, где его нет.
Встречайте новый выпуск подкаста #хакнимозг. В этот раз поговорим про то, как и зачем мы очеловечиваем мир вокруг.
🎧 Включайте, будет интересно.
🎧 Если предпочитаете Яндекс Музыку, нажимайте сюда.
А в комментариях делитесь, как вам выпуск. Ког…
Ну что, четверг, #трололошная открыта — давайте смеяться 😁
Кидайте в комментарии все мемчики, которые накопились у вас за эту неделю. И друзей зовите, пусть хихикают с нами.
1783.
Теория шести рукопожатий: как это работает
#завтрак
Теория шести рукопожатий говорит, что до любого человека на планете можно дотянуться через несколько знакомств. И иногда это работает совершенно неожиданным образом.
Сегодня разберём, откуда взялась эта теория, почему не обязательно быть напрямую знакомым с нужным человеком и в чём сила слабых связей.
💬 В комментариях делитесь, какие невероятные встречи чер…
Сегодня на завтрак у нас целая подборка эфиров. Посмотрим, #что_вы_могли_пропустить в октябре.
1763. Чего ВЫ хотите?
Классная практика, чтобы снова услышать свои желания и вернуть ощущение авторства собственной жизни.
1764. «Ловушка счастья» Расс Хэррис
По факту это учебник по терапии принятия и ответственности, но переделанный на нормальный, человеческий язык.
1765. Одна фраза
Простая фраза, которая помогает отпу…
1782.
Формула счастливой случайности
#завтрак
В каждой счастливой случайности можно увидеть определённую последовательность. У Кристиана Буша есть конкретная формула серендипности.
Включайте эфир ▶️ Сейчас всё разберём и узнаем, как привлекать больше приятных совпадений в свою жизнь.
В комментариях пишите свои неслучайные случайности и как вы над ними работали.
1781.
Довериться хаосу
#завтрак
Мир — довольно непредсказуемая штука, чтобы надеяться на последовательность в нём. И иногда нужно просто выдохнуть и довериться теории хаоса.
Сегодня у нас эфир-болталка. Поделюсь небольшой историей, после которой воспринимать мир будет легче.
▶️ В комментариях пишите, было ли у вас такое, что вы чего-то долго хотели, долго к этому шли, и в итоге всё получилось, но очень странным об…
Новый выпуск подкаста #хакнимозг 🧠 о теориях заговора. Разбираемся, почему они так хорошо работают и помогает ли критическое мышление распознавать их. Расскажу историю Конан Дойла — человека, который придумал Шерлока Холмса, но сам поверил в фей.
Почему в теории заговора верят даже умные люди, чем они отличаются от обычных подозрений и что происходит с конспирологией сейчас, в эпоху соцсетей — давайте разбираться.
…
Четверг — почти пятница. Давайте уже настраиваться на выходные вместе с #трололошная 😹
Отправляйте свои мемчики в комментарии, зовите друзей, будем смеяться все вместе.
1780.
Три шага к завершению
#завтрак
Я не договорила. Вчера мы с вами обсуждали, как важно «праздновать». А сегодняшний эфир будет о том, что именно помогает нам завершать процессы.
Включайте ▶️ Вернёмся к книге Анны Черных и разберём три навыка.
💬В комментариях пишите, что думаете. Готовы вы что-то отпраздновать?
1779.
Праздновать жизнь
#завтрак
Мы создаём семьи, получаем дипломы, запускаем проекты, ведём переговоры, проживаем невероятно сложные и невероятно прекрасные события. И при этом не останавливаемся в моменте, не говорим себе: «Я молодец. Я справляюсь»🖤
Поговорим об этом. О том, почему так важно праздновать жизнь, замечать свои достижения, что это даёт и как помогает проходить через кризисы.
В комментариях напишите…
❤156🔥30👍12
Showing the 12 most recent of 110 posts we hold for @zavtrak_s_Kilinoy. 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
@zavtrak_s_Kilinoy edited 8 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
26 August 2026
Most recent edit
5 October 2026
Posts recorded as deleted after publishing
We recorded 10 posts on @zavtrak_s_Kilinoy 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
17 August 2026
Most recent seen missing
14 October 2026
Median time before seen missing
6 days
Seen missing in the last 30 days
1
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.
Наталья pro_knigi_kino @pro_knigi_kino · 36,222 Telegram ranks this channel #1 of 79 here — alongside 78 others — read 1 September 2026
Киноблогер с хвостатыми | syilers @syilers26 · 100,632 Telegram ranks this channel #8 of 72 here — alongside 71 others — read 1 September 2026
Катерина Ленгольд @Katerinalengold · 71,131 Telegram ranks this channel #9 of 94 here — alongside 93 others — read 20 August 2026
FitКатики @FitKatiki · 55,882 Telegram ranks this channel #10 of 64 here — alongside 63 others — read 23 August 2026
Историк в телефоне @history_doronina · 48,985 Telegram ranks this channel #11 of 77 here — alongside 76 others — read 25 August 2026
ЛЕТНЕЕ УТРО | Letneeutro @Letneeutro_channel · 47,797 Telegram ranks this channel #12 of 68 here — alongside 67 others — read 26 August 2026
Алина говорит @alina_telling · 28,350 Telegram ranks this channel #15 of 92 here — alongside 91 others — read 9 September 2026
savelenok @savelenok · 36,946 Telegram ranks this channel #15 of 62 here — alongside 61 others — read 1 September 2026
ВЗРОСЛЫЙ ФИТНЕС @alishafit · 18,864 Telegram ranks this channel #16 of 70 here — alongside 69 others — read 4 October 2026
Юлия Егорушкина о психологии @nesovetchik · 80,865 Telegram ranks this channel #16 of 87 here — alongside 86 others — read 18 August 2026
Неудобный психолог @mamaterapia · 60,851 Telegram ranks this channel #21 of 82 here — alongside 81 others — read 22 August 2026
Сообщение от Кравцовой @Kkkrem_daily · 64,334 Telegram ranks this channel #21 of 82 here — alongside 81 others — read 21 August 2026
Ярослава Рындина @yarapsy · 24,246 Telegram ranks this channel #22 of 83 here — alongside 82 others — read 16 September 2026
Nikitina_mg Stories @nikitina_stories · 51,568 Telegram ranks this channel #23 of 69 here — alongside 68 others — read 24 August 2026
Светлана Шишкина. Как жить лучше @sveta_economy · 30,985 Telegram ranks this channel #24 of 89 here — alongside 88 others — read 6 September 2026
Мама в Телеграме @mamavtelegrame · 46,626 Telegram ranks this channel #24 of 88 here — alongside 87 others — read 26 August 2026
Лёгкий быт с Аидой Prodom @aidaprodom · 317,653 Telegram ranks this channel #30 of 77 here — alongside 76 others — read 10 August 2026
Александр Бессонов @AleksBessonov · 60,171 Telegram ranks this channel #32 of 73 here — alongside 72 others — read 22 August 2026
̶Д̶о̶к̶т̶о̶р̶ Андрей Курпатов @kurpatov_tg · 70,407 Telegram ranks this channel #32 of 89 here — alongside 88 others — read 20 August 2026
Mindspa | Самопомощь @mindspa_ru · 35,109 Telegram ranks this channel #35 of 90 here — alongside 89 others — read 3 September 2026
💭Инсайтовская форточка @garikovainsight · 23,362 Telegram ranks this channel #36 of 82 here — alongside 81 others — read 17 September 2026
Olechkin_durdom @olechkindurdom · 51,326 Telegram ranks this channel #36 of 76 here — alongside 75 others — read 24 August 2026
АЛЕКСАНДРА ФРАНЦ про ХИМИЮ @chemistry_frants · 45,037 Telegram ranks this channel #37 of 80 here — alongside 79 others — read 27 August 2026
Собачий Потрох @sobachkyn_potroh · 47,398 Telegram ranks this channel #37 of 70 here — alongside 69 others — read 26 August 2026
This channel appears in 61 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 8 November 2026 — this
entry's latest reading, not the date you are reading this.
“Завтрак с Килиной” (@zavtrak_s_Kilinoy), 62,101 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/zavtrak_s_Kilinoy.
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.