Channel
@littlethief7
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
78subscribers
+0 since we began measuring on 10 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003851738157 |
|---|---|
| Type | Channel |
| Username | @littlethief7 |
| Description | Puedes amar a Alistair para siempre |
| Created | Between 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/littlethief7 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 06:45 | 78 | no change |
| 10 Aug 2026, 06:31 | 78 | first reading |
18 posts held, back to 26 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 1 pageof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 10 August 2026 |
|---|---|
| Posts held | 18 (26 July 2026 – 10 August 2026) |
| Views total | 1,534 |
| Reactions total | 253 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Aug 2026, 06:45 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.
Lifetime counters from Telegram’s own channel header, read 10 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.
Measured directly from 4 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.
253 reactions across 18 posts, in 4 distinct kinds. The most used accounts for 34.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5217600196157921950 | 87 | 34.4% | |
| custom 5217961411497451992 | 67 | 26.5% | |
| custom 5300874857498554350 | 50 | 19.8% | |
| custom 5215473813684256016 | 49 | 19.4% |
Custom emoji. Every 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 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 18 of the 18 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 253reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 26 July 2026 to 10 August 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.
▫️• Убейте меня и воскресите вновь, чтобы я смогла посмотреть видео, которое только что сделала. 🤩 Ближе к обеду, когда проснусь, опубликую его. Оцените. Эта идея пылилась у меня в голове с момента создания канала, но я не знала, как её реализовать.
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@.Liliana Scuderi 🤩. «связанные искушением» «Все всегда говорили, что хотят меня защитить. Я задавалась вопросом, от чего? От жизни?» — Лилиана. 🎀..
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▫️•.✔️April Note. Думаю, выполнено. Сейчас меня полностью устраивает стиль, в котором я делаю видео (дай бог, чтобы не сглазить), а ещё я безумно люблю свою аудиторию. Всегда замечаю, что фраза «какой автор — такие и подписчики» действительно часто работает. И в моём окружении безумно прекрасные девочки, с которыми у нас очень приятное общение в комментариях. Мы всегда принимаем мнение друг друга, которое очень часто…
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🎀🤩• Если адекватно говорить то мнение девушки на видео мне не близко. Как может быть желание создавать целый аккаунт где ты обсираешь всех? Люди которые это поддерживают так же мне не близки. И если вам это нравится прошу не следить за моими социальными сетями. И я сейчас не говорю только про Каморру. «Хоть бы отмечали под своими истериками». В переписке с подругой ? Да и речь была не только о вас с наших многих соо…
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Трудно быть легендой? Мне нет 🤩
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▫️Но скажу вам от себя. Помните: вы читаете дарк-романы. И если быть до конца честной — всё то, что вы так ненавидите в дарках, всё, что презираете: плохое отношение к братьям, сёстрам, девушкам и вообще к окружающим, — это и есть настоящий тёмный романа. А то, чего нам, часто хочется увидеть в ТАКОЙ книге — это в жанре обычной романтики. Всё, что делают Римо, Лука, Киллиан, Джереми, Алистер, Тэтчер и многие другие,…
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🌨️🌨️🌨️🌨️🌨️🎀🌨️🌨️🌨️🌨️🌨️ ▫️Всем привет, дорогие друзья. Ночью мне пришло анонимное сообщение с просьбой поднять тему Джианны и Луки, тему двойных стандартов. Всю информацию, которой я сейчас поделюсь, мне передала одна девушка. Суть ситуации — в отношении Луки к Джианне во всех книгах до их примирения. Лука презирал её, оскорблял и даже говорил Маттео, чтобы тот её уже трахнул и неважно, хочет она этого или нет, — ведь…
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▫️▫️Целый день мои рекомендации просто добивают меня, напоминив о том, через что пришлось пройти Леоне. Так грустно, что о её травме почти никто не говорит.🐰 Когда читала книгу про Леону и Фабиано, я будто упустила момент, где Леону чуть не изнасиловали. Почему-то была уверена, что этого не произойдёт, ведь в книге было написано, что Римо просто запугивал Фабиано и проверял его преданность. А потом задумалась над э…
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🌨️🌨️🔤he Lies We Steal🌨️🌨️ 😀 °•Alistair Caldwell and Briar Lowell 🌨️🌨️🌨️🎀🌨️🌨️🌨️ I'm crying, "They're coming for me" And I tried to hold these secrets inside me My mind's like a deadly disease
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•°~Fun fact обо мне: когда я читала книгу Глиндон, то всегда путала Аннику и Аву. В моей голове Анника была блондинкой, а Ава — брюнеткой.
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—.•.🤩 Год назад я читала «Поклонника» и ненавидела главного героя, который неуважительно обращался с главной героиней и хотел её ударить. Сейчас читаю «Кровь, которую мы жаждем» и Тэтчер тоже думает о том, что хотел бы ударить Сейдж. Самое отвратительное, что может быть и в книгах, и в реальной жизни, похоже, будет преследовать меня везде и всегда.
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🐾••°🔤тоги июля 2026 .• 1. «Извращенные эмоции» — 8/10 2. «Артур, Луи и Адель» — 5/10 3. «Связанные прошлым» — 6/10 4. «Извращенная гордость» — 10/10 5. «Извращенные узы» — 8/10 #итоги 🔤🔤🔤🔤🤍🔤🔤🔤🔤 🐾••°🔤ланы на август 2026 .• Особенного плана на август у меня нет, однако есть желание дочитать некоторые книги, а дальше — по настроению. Предварительно: 1. Кровь, которую мы жаждем 2. Кровь, которую мы жаждем. Часть 2 …
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Showing the 12 most recent of 18 posts we hold for @littlethief7. 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 — 726,937 of 1,478,351entries 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.
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.
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.
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 10 August 2026 — this entry's latest reading, not the date you are reading this.
“кукольный дом Аннабель” (@littlethief7), 78 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/littlethief7.
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.