✨️🎈Блог писателя Юлии Кузнецовой о книгах, своих и не только, жизни с 3мя детьми, чтении и курсах с енотом Борисом, развивающих речь и письмо.
Курсы тут: https://enot-writer.ru/main
Created
28 October 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
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 12 September 2026 and assigned it the closest of 31 fixed categories, at 67% 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
25 measurements spanning 90 days, net +77. 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 7,786–7,919 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
4 Nov 2026, 19:29
7,904
+4
1 Nov 2026, 13:09
7,900
+11
29 Oct 2026, 07:29
7,889
-2
26 Oct 2026, 01:46
7,891
+13
22 Oct 2026, 15:01
7,878
-1
19 Oct 2026, 10:27
7,879
+6
16 Oct 2026, 18:11
7,873
-3
13 Oct 2026, 14:16
7,876
+20
7 Oct 2026, 09:19
7,856
+11
30 Sept 2026, 07:55
7,845
+5
16 Sept 2026, 12:37
7,840
+7
12 Sept 2026, 06:21
7,833
-6
7 Sept 2026, 18:22
7,839
+8
2 Sept 2026, 15:23
7,831
+8
31 Aug 2026, 01:04
7,823
+7
28 Aug 2026, 08:42
7,816
+15
25 Aug 2026, 10:56
7,801
-5
22 Aug 2026, 19:56
7,806
-4
19 Aug 2026, 13:02
7,810
-7
16 Aug 2026, 19:24
7,817
first reading
Engagement
79 posts held, back to 4 August 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 28 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.40%
avg views ÷ 7,904 subscribers
Avg views / post
664
20 posts measured
Reaction rate
6.15%
reactions ÷ views · ER floor
Posts in window
20
of 79 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 20 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 7 November 2026
Posts held
79 (4 August 2026 – 7 November 2026)
Views total
13,274
Reactions total
768
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Nov 2026, 01:04 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
≈11,100
Videos
≈903
Links
≈2,010
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
11m 14s
Average length
1m 24s
Measured directly from 8 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
3,112 reactions across 75 posts, in 20 distinct kinds. The most used accounts for 58.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,818
58.4%
🔥
477
15.3%
😁
270
8.68%
🤣
146
4.69%
❤🔥
89
2.86%
👍
68
2.19%
🥰
66
2.12%
😍
47
1.51%
👏
33
1.06%
💯
25
0.803%
custom 5431446561991182863
24
0.771%
🙏
17
0.546%
💘
11
0.353%
💔
5
0.161%
🤩
4
0.129%
✍
3
0.096%
👻
3
0.096%
🎄
2
0.064%
🤗
2
0.064%
🤷♀
2
0.064%
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 75 of the 79 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 3,112 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 79 most recent posts we hold, published 4 August 2026 to 7 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 20 posts held from the last 30 days (10.0%) 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).
Сегодня я провела отличный день в РГДБ, это был день издательства "Архипелаг", хотя я бы назвала его праздником издательства "Архипелаг".
💥
Было много людей на встречах с автором. Я успела прихватить хвостик встречи Нины Павловой, она с читателями шила прекрасных крысок в честь своей новинки "Дело о пяти хвостах и одной когтистой лапе" (как раз мы с Колей дочитали эту книгу, отличная).
Потом провела встречу по книга…
«Помашите, пожалуйста, кто знаком с моим творчеством… огого какой лес рук!»😁
Писательница Юлия Кузнецова проводит мастер-класс «Играем с буквами и учимся читать вместе с Колей».
Обратила вчера внимание, что РГДБ готовится ко Дню издательства "Архипелаг", который пройдёт сегодня с 11:00.
Моё выступление будет в 13:00 ,и посвящено оно будет серии книг про Колю, а ещё буквам и словам, так что самым начинающим читателям будет интересно.
Я вчера побывала в РГДБ на презентации книги Николая Назаркина "Допустим. Гемофилические сказки". Книга написана для ребят с редким заболеванием - гемофилией. Там две трогательные и временами весёлые беседы, одна Вани с папой, другая Вани с доктор. У Вани гемофилия, и это значит, что ему нельзя забывать о профилактике и лечении, не стоит драться, и вот эти вопросы в книге и обсуждаются.
Если у вас есть знакомые, кому…
🍁Давайте про фильмы вообще, пятница же!
1) мы с мужем посмотрели отечественный сериал "Трасса", он страшненький, в красивых местах снят, по-моему, очень сильный, но жутковатый;
2) посмотрели "К востоку от Эдема" по книге Стейнбека. Тоже сильная работа, трудно оторваться, хорошо снято. Но там не очень со светлым, как будто его и нет, всех жалко.
3) посмотрели с Колей "Невезучих" с Ришаром и Депардье, посмеялись, ем…
А фильм хороший, светлый, фантасмагоричный, с лёгкой артхаузной безуминкой, потрясающей игрой актёров (Янковский, Друбич, Абдулов), Окуджавой и бесконечной любовью к Пушкину.
Сначала немного сбивает с толку полифония голосов и звуков, а потом понимаешь, что это приём и просто плывёшь по нему, как ёжик по реке. А потом неделю вспоминаешь, картинки в голове мелькают, образы.
🍁🍂
Мне понравилось, хотя и не сразу.
Смотрим с мужем фильм "Храни меня, мой талисман".
Муж:
- У Збруева есть свитер...у Янковского свитер есть...только у меня нету.
😏😒
Лаааадно, пошла дошивать!
Друзья, завтра иду в РГДБ на это мероприятие:
https://t.me/chitaetshaffert/776
Тема сложная, мне интересно, как Николай её раскрыл.
Вы можете присоединиться, если вам тоже интересно.
❤️Зачем я придумала этот опрос?
Мне было интересно исследовать несколько тем.
Прежде всего, это чувство стыда.
Люди часто стыдятся того, что они не читали каких-то книг, которые читали все.
Они начинают фразу: "К своему стыду, я не читал(а)....".
Мой опрос, как я и думала, показал, что многие не читали довольно популярные книги, классические книги.
И с моей точки зрения, стыдиться тут нечего.
Не прочитал? У теб…
Дорогие друзья!
Приглашаю вас на День издательства «Архипелаг» в РГДБ!
Для гостей праздника проведу мастер-класс «Играем с буквами и учимся читать вместе с Колей»🔥
👉 7 ноября в 13:00
📍г. Москва, Калужская площадь 1, к. 1
✅ Подробная программа Дня издательства:
https://afisha.archipelag-publishing.ru/den-izdatelstva-arhipelag-v-rgdb/
#афишаМосквы
🌼Курс месяца в ноябре — Поезд эмоций.
Почему курс актуален детям сейчас: наступила школа, и она приносит массу новых эмоций. Их важно понимать и учиться ими управлять. Курс в этом помогает.
Что входит в тетрадь-курс «Поезд эмоций»:
1) qr-код. Идёт по нему, находит видео, где я с енотом в руке рассказываю, про что пишем;
2) лекало
Его просто заполнить: получается у всех. Дописать по паре слов и готово.
3) рассказ с…
Сводка новостей по курсам за неделю
➖➖➖➖➖➖➖➖➖➖
🤎 Новый курс месяца
🚧Поезд эмоций — скидка 50% на базовый тариф.
https://enot-writer.ru/train
➖➖➖➖➖➖➖➖➖➖
🧡Купили:
📚 Вебинар «Чтение в 7-12 лет» — 10
📩 Осенние письма — 8
📚 Вебинар «Чтение в 3-6 лет» — 5
🧡 Моя семья — 1
🌷 Зеленый курс для педагогов — 1
☕️Вебинар «Как помочь ребёнку полюбить чтение. С чего начать? План простых шагов» — 1
🥇 Лидером продаж недели стал ве…
❤8👏1🔥1
Showing the 12 most recent of 79 posts we hold for @kuznetsova_writer. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Но сначала давайте разберёмся, кто меня тут читает))
Я хожу в походы с палаткой23%
Я турист "в тапочках"66%
Я вообще нигде не путешествую13%
The shares total 102%, 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 79 most recent posts we hold, published 4 August 2026 to 7 November 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 13 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.
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.
Полина Мальцева @polina_education · 124,881 Telegram ranks this channel #1 of 89 here — alongside 88 others — read 14 August 2026
mama_mishonka 📚 @mama_mi_shonka · 24,640 Telegram ranks this channel #3 of 81 here — alongside 80 others — read 15 September 2026
Александр Толмачёв @detlektor · 82,603 Telegram ranks this channel #8 of 87 here — alongside 86 others — read 18 August 2026
Радио и Театр @oldradioteatr · 111,743 Telegram ranks this channel #10 of 91 here — alongside 90 others — read 14 August 2026
Готовь, как Глыва @ya_glyva · 20,536 Telegram ranks this channel #17 of 81 here — alongside 80 others — read 26 September 2026
Пифагоровы штаны @pifshtany · 23,629 Telegram ranks this channel #27 of 48 here — alongside 47 others — read 17 September 2026
Валентина Паевская @valentinapaevskaya · 228,858 Telegram ranks this channel #31 of 85 here — alongside 84 others — read 11 August 2026
Банда умников. Занятия с детьми @banda_u · 24,437 Telegram ranks this channel #35 of 97 here — alongside 96 others — read 16 September 2026
Елена Лаштабега @elena_lashtabega · 22,869 Telegram ranks this channel #38 of 95 here — alongside 94 others — read 19 September 2026
Lil.School — онлайн-школа рисования @lilschool · 19,171 Telegram ranks this channel #43 of 88 here — alongside 87 others — read 2 October 2026
СЕМЕЙНОЕ ОБРАЗОВАНИЕ ДЛЯ ЧАЙНИКОВ @co_legko · 62,808 Telegram ranks this channel #62 of 95 here — alongside 94 others — read 21 August 2026
Людмила Петрановская @lpetranovskaya · 166,719 Telegram ranks this channel #72 of 92 here — alongside 91 others — read 12 August 2026
This channel appears in 12 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 4 November 2026 — this
entry's latest reading, not the date you are reading this.
“Юлия Кузнецова (книги и курсы)” (@kuznetsova_writer), 7,904 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/kuznetsova_writer.
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.