Сегодня! На канале «Время Любить».
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Channel
@time_to_open
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
16,433subscribers
+273 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001471872507 |
|---|---|
| Type | Channel |
| Username | @time_to_open |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 October 2026 |
| Measurements held | 38 |
| Confirmed unchanged | 1 time, most recently 15 October 2026 |
| On Telegram | t.me/time_to_open |
Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 41% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Oct 2026, 13:10 | 16,433 | -5 |
| 14 Oct 2026, 13:40 | 16,438 | -11 |
| 13 Oct 2026, 04:00 | 16,449 | +2 |
| 8 Oct 2026, 20:00 | 16,447 | +4 |
| 4 Oct 2026, 07:57 | 16,443 | +59 |
| 25 Sept 2026, 17:39 | 16,384 | +94 |
| 19 Sept 2026, 04:16 | 16,290 | +58 |
| 16 Sept 2026, 19:58 | 16,232 | +89 |
| 15 Sept 2026, 01:40 | 16,143 | +95 |
| 13 Sept 2026, 14:38 | 16,048 | +51 |
| 11 Sept 2026, 18:19 | 15,997 | -22 |
| 9 Sept 2026, 02:21 | 16,019 | -19 |
| 5 Sept 2026, 15:22 | 16,038 | -6 |
| 3 Sept 2026, 17:41 | 16,044 | -17 |
| 2 Sept 2026, 06:53 | 16,061 | -4 |
| 1 Sept 2026, 06:08 | 16,065 | -2 |
| 31 Aug 2026, 05:13 | 16,067 | +3 |
| 30 Aug 2026, 06:33 | 16,064 | +2 |
| 29 Aug 2026, 05:05 | 16,062 | -4 |
| 28 Aug 2026, 01:44 | 16,066 | first reading |
47 posts held, back to 18 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 56 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 47 posts for this entry, the most recent from 3 September 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 13 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.
1,858 reactions across 47 posts, in 7 distinct kinds. The most used accounts for 51.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 965 | 51.9% | |
| 👍 | 490 | 26.4% | |
| 🔥 | 282 | 15.2% | |
| 🎉 | 101 | 5.44% | |
| 🤩 | 11 | 0.592% | |
| 😁 | 6 | 0.323% | |
| 😱 | 3 | 0.161% |
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 47 of the 47 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 1,858 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 47 most recent posts we hold, published 18 July 2026 to 3 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.
Сегодня! На канале «Время Любить».
👍2
🧩 Тест: На чём держится ваша ценность? Иногда мы чувствуем себя достойными любви, только когда нужны другим, всё успеваем или получаем одобрение. Этот тест поможет заметить, насколько ваша самооценка зависит от внешних обстоятельств и умеете ли вы оставаться на своей стороне. Отвечайте не задумываясь и считайте баллы: А = 1, Б = 2, В = 3. Вопрос 1. Вы допустили ошибку в важном деле. Какая мысль возникает первой? А…
❤17👍9🔥4🎉1
🔬 Предки — не только прошлое Принято считать, что семейная память — это старые фотографии, даты и рассказы, которые мало влияют на нашу сегодняшнюю жизнь. Но социологический взгляд шире. Память о предках может становиться особым семейным капиталом: давать ощущение связи, помогать лучше понимать себя и видеть собственную жизнь как часть большой истории. Речь не о том, что мы обязаны повторять судьбы родных или нест…
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🎬 Фильм «1+1» Что, если забота начинается без жалости? Одна сцена. Иногда дружба начинается не с сочувствия, а с честной неловкости. На собеседование к Филиппу Дрисс приходит не ради работы: ему нужна лишь подпись, подтверждающая попытку трудоустроиться. Он не изображает готовность заботиться, не говорит правильных слов и не смотрит на Филиппа как на беспомощного человека. И именно эта прямота неожиданно привлекает…
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#невошедшее с Татьяной Еремеевой🌟
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📖 Почему мы не те, кем кажемся? Разбираем «Игры, в которые играют люди» Эрика Берна Вы когда-нибудь замечали, что в разных ситуациях ведете себя как совершенно разные люди? То вы строго поучаете близких, то обижаетесь как ребенок, то вдруг рассуждаете холодно и логично. Эрик Берн, основатель трансакционного анализа, объяснил это просто - в каждом из нас живут три состояния: Родитель, Взрослый и Ребенок. 🎭 Что тако…
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Зачем душа выбирает боль? 🕯 Один из самых частых и болезненных вопросов, который звучит в комментариях к нашим видео: «Если душа сама выбирает свой путь, то зачем ей страдания, потери и болезни?» Кажется нелогичным, что мы, будучи светом, можем добровольно согласиться на опыт, который приносит столько слез. Но давайте попробуем взглянуть на это с духовной стороны. 💎 Боль как огранка. В дуальном мире, где мы живем,…
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Photo, posted without a caption
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Сегодня! На канале «Время Любить».
❤11🔥5👍4🎉2
✅ Тест: Жива ли ваша мечта? Иногда мечты становятся тихими не потому, что исчезают, а потому, что мы слишком долго откладываем себя. Этот тест поможет почувствовать, есть ли у ваших желаний место в сегодняшней жизни и что может поддержать вас на пути к ним. Отвечайте честно «да» или «нет» и считайте количество ответов «да». 1️⃣ Я могу назвать хотя бы одну мечту, которая по-настоящему согревает меня. 2️⃣ Я позволя…
❤20👍10🎉2🔥1
Photo, posted without a caption
❤10👍9🎉6🤩1
Продолжение интервью с Ольгой Старцевой✨ Сегодня! На канале «Время Открыть».
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Showing the 12 most recent of 47 posts we hold for @time_to_open. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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.
This channel appears in 10 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 15 October 2026 — this entry's latest reading, not the date you are reading this.
“Время Открыть” (@time_to_open), 16,433 subscribers as measured 15 October 2026. Telegram Register, tgregister.com/channel/time_to_open.
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.