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Channel

Закрыт

@book_happiness7

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

8subscribers

+0 since we began measuring on 11 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003762909053
TypeChannel
Username@book_happiness7
Descriptionlife https://t.me/+ON7atjW9oMMxY2Yy
CreatedBetween 1 February 2026 and 27 February 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 August 2026
Last confirmed live12 August 2026
Measurements held2
On Telegramt.me/book_happiness7

Growth

811 August 2026 — 8 subscribers12 August 2026 — 8 subscribers11 August 202612 August 2026
2 measurements spanning 2 days. 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 7–9 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 16:178no change
11 Aug 2026, 00:468first reading

Engagement

19 posts held, back to 27 February 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof 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 19 posts for this entry, the most recent from 1 May 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
10
Links
2

Lifetime counters from Telegram’s own channel header, read 12 August 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.

Reaction mix

25 reactions across 10 posts, in 9 distinct kinds. The most used accounts for 24.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 5354943131341051193624.0%
💘624.0%
custom 5352682428060163800312.0%
custom 545657116719004095428.00%
28.00%
🍓28.00%
💋28.00%
custom 535308060588823901214.00%
🕊14.00%

Custom emoji. 4 of the rows above are 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 counts beside them areTelegram’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 11 of the 19 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 25reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 27 February 2026 to 1 May 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

1 May 2026, 10:35 UTC207 views1 reactionsread 12 August 2026
Photo

Флуд закрывается. Хочу сказать большое спасибо союзникам,участникам и тем кто поддерживал флуд🩷 Со всеми союзами разрыв #союз

💋1

15 Apr 2026, 16:03 UTC449 viewsread 12 August 2026
Photo

ИЩЕ𐌑! 🤍Жᥱну 𐌡ё᥊ᥱ 𐌺᧐ᥴᴛρ᧐ʙу И 🤍Бᥲρᥴᥲ 𐌿᧐᧘ᥙнᥱ Туⲙᥲн᧐ʙ᧐ᥔ ᥰᥙᥴᥲᴛь: @Wwersiksy #Союз

15 Apr 2026, 15:24 UTC68 viewsread 12 August 2026
Forwarded from @Flooding_all_books

Срочно ищем Зейда!! Писать: @Aglaya_09 #для_союзов #𝐽𝑑𝑡𝑑

15 Apr 2026, 14:57 UTC104 views1 reactionsread 12 August 2026

Каролину нашли! Спасибо 🤍 #союз

💘1

15 Apr 2026, 14:34 UTC365 views1 reactionsread 12 August 2026
Photo

☕️𐌑ы ждёⲙ ᴛᥲκᥙᥱ ρ᧐᧘ᥙ κᥲκ: 🤍Дᥲρρᥱ᧘ 𐌡ᥲᴦρᥲнж 🤍𑀝ᴛᥲᥴ Կᥱρн᧐ʙ 🤍𐌺ᥲρ᧐᧘ᥙну 𑀝ᥱρᥱδρяκ᧐ʙу ✨А𐌺ТИВ𐋏Ы𐌗 𐌑УЖЕЙ 𐋏АШИ𐌑 ЗА𐌑ЕԿАТЕ𐌡Ь𐋏Ы𐌑 ДА𐌑А𐌑! 𐋏у ᥙ κ᧐нᥱчн᧐ ждёⲙ ʙᥴᥱ᥊!🤍 𐌿ᥙᥴᥲᴛь: @Wwersiksy #союз

💘1

12 Apr 2026, 17:48 UTC436 viewsread 12 August 2026
Photo

📚✨ Сегодня Book Happiness слегка опустел… Нас покинули: — Дима Барсов — Дарелл Лагранж 🕸️ Но наши паучата не унывают и уже тянут свои ниточки в будущее… И очень хотят видеть в наших уютных сетях: 🤍Диму Барсова 🤍И других Писать: @Wwersiksy #союз

12 Apr 2026, 03:55 UTC44 viewsread 12 August 2026
Forwarded from @newsgloomythoughsPhoto

У нᥲᥴ ᥰ᧘᧐хᥙᥱ н᧐ʙ᧐ᥴᴛᥙ. Сᥱᴦ᧐дня ʍы ᥰ᧐ᴛᥱρя᧘ᥙ ᴛᥲκᥙᥱ дуɯᥙ κᥲκ: — Яρᥲ Կᥱρнᥙκ᧐ʙᥲ — Аᥲρ᧐н дᥱ 𐌺᧐ᥴᴛᥱ Р᧐дᥙᴛᥱ᧘ᥙ ("Иʍᥰᥱρᥙя ʙᥲʍᥰᥙρ᧐ʙ", Джᥱᥔ 𐌺ρᥙᥴᴛ᧐ɸɸ) — Андρᥱᥔ 𐌺ᥙρᥙ᧘᧘᧐ʙ (В᧐ᥴхᥙᴛᥙᴛᥱ᧘ьнᥲя/ʙ᧘юδ᧘ᥱннᥲя ʙᥱдьʍᥲ) Оδᥙдн᧐, н᧐ ᴛᥲκ ᥴ᧘᧐жᥙ᧘ᥙᥴь ᧐δᥴᴛ᧐яᴛᥱ᧘ьᥴᴛʙᥲ. Дуɯᥙ, κ᧐ᴛ᧐ρыᥱ ждᥱʍ (нᥱ ᥰᥱρᥱжᥙʙᥲᥔᴛᥱ, дуɯᥙ ʍы ʙᥲɯᥙ нᥱ ʙ᧐ɜьʍᥱʍ): — О᧘ᥱᴦ В᧘ᥲдыκ᧐ (ᥱᴦ᧐ ᴛ᧐жᥱ ᧐чᥱнь ждᥱʍ, Тᥲᴛьянᥲ ᥴ уʍᥲ ᴛуᴛ ʙ᧘д ᥴ᧐жρᥲᴛь х᧐чᥱᴛ); — Оᴛᥱц ᥙ ʍᥲᴛь 𐌿᧐᧘ᥙны Туʍᥲн᧐ʙ᧐ᥔ; — Мᥲᴛʙᥱᥔ Вᥱᥴᥱ᧘᧐ʙ; —

6 Apr 2026, 14:22 UTC382 views2 reactionsread 12 August 2026
Photo

📚✨ Сегодня Book Happiness слегка опустел… Нас покинули: — Ксюша Ведьмина — Милена Матвеева 🕸️ Но наши паучата не унывают и уже тянут свои ниточки в будущее… И очень хотят видеть в наших уютных сетях новых паучат 🤍 Писать: @Wwersiksy #союз

1💘1

30 Mar 2026, 05:42 UTC453 viewsread 12 August 2026
Photo

📚✨ Сегодня Book Happiness слегка опустел… Нас покинули: — Олег Владыко — Дима Барсов — Прелесть — Женя (тсбр) — Дилара Айдарова 🕸️ Но наши паучата не унывают и уже тянут свои ниточки в будущее… И очень хотят видеть в наших уютных сетях: 🌸 Сержа Майера 🌸 Каролина Серебрякова 🌸 Дима Барсов 🌸 Стас Чернов 🌸 ..и других Писать: @Wwersiksy #союз

27 Mar 2026, 18:22 UTC139 views0 reactionsread 12 August 2026
Photo

U N I O N S В флуде ᴄущᴇᴄᴛʙуюᴛ ᴄᴏюɜы — ᴛихиᴇ ᴏбъᴇдинᴇния, ᴦдᴇ ᴨᴇᴩᴇᴨᴧᴇᴛᴀюᴛᴄя судьбы Кᴀждый ᴄᴏюɜ дᴇᴩжиᴛᴄя нᴀ дᴏʙᴇᴩии, ʙɜᴀиʍᴏᴨᴏʍᴏщи и ᴏбщᴇй ᴛиɯинᴇ ᴄᴏюɜ ᴩᴀɜᴩыʙᴀᴇᴛᴄя ɜᴀ: нᴇ ᴨᴇᴩᴇᴄыᴧᴋу ᴄᴏᴏ ɜᴀᴋᴩыᴛия ɸᴧудᴀ ᴧичнᴀя инициᴀᴛиʙᴀ 📌 ɜᴀᴨиᴄь ᴏ ᴄᴏюɜᴇ жиʙёᴛ (ᴨᴇᴩᴇᴄыᴧᴋᴀ) - до воскресенья и иᴄчᴇɜᴀᴇᴛ нᴇ ᴏᴄᴛᴀʙᴧяя ᴄᴧᴇд ʙ инɸᴏ АКТИВНЫЕ СОЮЗЫ 𝒔𝒕𝒆𝒍𝒍𝒂𝒓 𝒇𝒍𝒐𝒐𝒅 annagenx 𝒫𝓇𝑜𝓅𝒶𝓋𝓈𝒽𝒶𝓎𝒶 𝒹𝓊𝓈𝒽𝒶 𝓣𝓱𝓮 𝓢𝓮𝓬𝓻𝓮𝓽 𝓸𝓯 𝓬𝓱𝓮𝓻𝓻𝓲𝓮𝓼 Veil of Secrets 𝐖𝐈𝐍𝐓𝐄𝐋𝐒 𝙱𝚘𝚘𝚔𝚜 𝚝𝚑𝚎 𝚋

Showing the 12 most recent of 19 posts we hold for @book_happiness7. 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.

Citation-graph rank

Citation-graph rank — 1,413,830 of 1,481,346entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Закрыт” (@book_happiness7), 8 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/book_happiness7.

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.