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Telegram profile photo for sofa | study buddies❣️

Channel

sofa | study buddies❣️

@sofastudybuddies

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

2,614subscribers

-12 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002127057946
TypeChannel
Username@sofastudybuddies
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/sofastudybuddies

Growth

2,6142,6262,6207 August 2026 — 2,626 subscribers8 August 2026 — 2,625 subscribers10 August 2026 — 2,623 subscribers13 August 2026 — 2,614 subscribers7 August 202613 August 2026
4 measurements spanning 6 days, net -12. 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 2,612–2,628 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 13:182,614-9
10 Aug 2026, 23:542,623-2
8 Aug 2026, 05:042,625-1
7 Aug 2026, 11:482,626first reading

Engagement

11 posts held, back to 13 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
23.4%
avg views ÷ 2,614 subscribers
Avg views / post
613
9 posts measured
Reaction rate
3.66%
reactions ÷ views · ER floor
Posts in window
9
of 11 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
WindowRolling 30 days · latest post in window 6 August 2026
Posts held11 (13 July 20266 August 2026)
Views total5,513
Reactions total202
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:49 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

Video runtime
14s
Average length
7s

Measured directly from 2 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

285 reactions across 11 posts, in 3 distinct kinds. The most used accounts for 66.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
18866.0%
custom 54721357464186577807024.6%
💔279.47%

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 isTelegram’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 11 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 285reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 11 most recent posts we hold, published 13 July 2026 to 6 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.

Recent posts

6 Aug 2026, 18:16 UTC242 views5 reactionsread 7 August 2026

новенькие, добро пожаловать на мой канал, давайте знакомиться! меня зовут Софа, мне 19 лет я сдала егэ’25, поступила на педагога русского языка и иностранного языка (🇨🇳) [ для поступления мне нужны были результаты егэ по русскому и обществознанию, а также дви ] сейчас учу китайский язык и готовлюсь к своей первой стажировке в Китае по программе обмена⛩️ самое важное о себе рассказала, теперь про мой блог! мой блог

5

6 Aug 2026, 15:00 UTC372 views5 reactionsread 7 August 2026

летом особенно тяжело найти мотивацию, поэтому делюсь каналами, которые меня сейчас вдохновляют на саморазвитие! григ лайф — гриша вещает о поступлении в вшэ на юриста & изучении 4 языков самостоятельно 🇬🇧🇪🇸🇩🇪🇹🇷; делится советами для саморазвития и дисциплины marie’s chinahouse — тут все про любовь к Азии, изучение китайского и вьетнамского языков, стажировки в Китай и Вьетнам. и просто про жизнь студентки МГУ 🪷 w

5

3 Aug 2026, 17:28 UTC565 views20 reactionsread 7 August 2026
Photo

💔фотографии со дня получения моей визы! я пока ещё не верю, что закончила первый курс, успешно сдала сессию, получила добро на поездку в китай и остается лишь собрать вещи и улететь… честно очень переживаю и пока не представляю, как я буду жить одна в китае без своей собаки и родных

20

1 Aug 2026, 09:04 UTC687 views34 reactionsread 7 August 2026

урааа, сегодня я получила свою студенческую визу в китай!🤩 осталось чуть больше 20 дней до переезда, скоро начну прикидывать сколько вещей я хочу взять с собой и поместиться ли все это в мой чемодан…

24custom 547213574641865778010

31 Jul 2026, 16:53 UTC681 views20 reactionsread 7 August 2026

🤩в какие города я хочу съездить в Китае? 💔первый город, который я посещу будет Циндао, так как именно в этом городе я приземлюсь! хочу просто погулять там, первый раз пошопиться, сходить на набережную, увидеть сочетание маленьких домиков с небоскребами + *интересно посмотреть на музей пива 💔дальше хочется побывать в Пекине очень интересно взглянуть на столицу Китая. обязательно поднимемся на китайскую стену, погуля

13custom 54721357464186577805💔2

30 Jul 2026, 13:58 UTC542 views20 reactionsread 7 August 2026
Photo

❤️что я успела сделать за 2 месяца перед долгой поездкой в китай? 💔подготовила весь необходимый пакет документов для китайского вуза: мед.справка на китайском языке, справки об учёбе в кгу и об успеваемости, переведенные на английский язык, приглашение и анкета от китайского вуза в двух форматах (печатный и электронный), копии паспортов + сделала визу x1. 💔купила все, недостающие вещи для поездки: чемодан, сумка дл

custom 5472135746418657780128

28 Jul 2026, 20:03 UTC597 views31 reactionsread 7 August 2026
Photo

сегодня я с пяти утра на ногах, так как нам нужно было съездить в визовый центр для подачи документов на студенческую визу в китай💔 я проспала все будильники, в итоге проснулась за 20 минут до отъезда нашего автобуса… ❤️немного про поездку в визовый центр: 💔перед тем как поехать в визовый центр мы подавали онлайн заявление и около 5 дней ждали его одобрение 💔после того, как все исправили свои ошибки в заявление и н

20custom 54721357464186577807💔4

27 Jul 2026, 07:10 UTC657 views31 reactionsread 7 August 2026
Photo

📍страны азии, в которых я бы хотела побывать: пока я рассматриваю путешествия только по странам Азии, так как за всю свою жизнь я особо не бывала в странах этого направления (только в тайланде была в детстве)🎏⛩️🤩 + с годами у меня появился особый интерес к азии, так как я учу китайский язык в университете, смотрю блогеров, которые любят путешествовать по странам азии, а также я с детства люблю японские аниме мультф

25💔4custom 54721357464186577802

19 Jul 2026, 13:32 UTC≈1,170 views36 reactionsread 7 August 2026
Photo

🪭’ из последнего: получила одобрение от визового центра, сдала входное тестирование по китайскому языку, заказала себе чемодан (наконец-то!) и уже купила большую часть вещей к поездке

25custom 547213574641865778011

15 Jul 2026, 13:42 UTC≈1,250 views36 reactionsread 7 August 2026

❤️ отвечаю на ваши вопросы про учёбу и стажировку в китае 💔 сколько будет длиться стажировка? 💔стажировка длиться один учебный год с сентября по июнь. 💔 как ты будешь учиться в России, находясь в Китае? 💔 те ребята, которые едут на стажировку переводятся на индивидуальное обучение, то есть мы будем проходить российскую программу онлайн. то есть от заданий и домашки нас никто не освобождает, так как нам нужно будет

23custom 547213574641865778013

13 Jul 2026, 08:54 UTC854 views47 reactionsread 7 August 2026
Photo

💔как проходят мои будни? я особо не выхожу из дома, так как у нас каждый день идёт сильный дождь, зато пока есть время я занимаюсь блогом (вчера выложила три тиктока, во всех соц.сетях поменяла шапки профиля и написала пару постов для тг), также я наконец-то разобрала свой гардероб и начала повторять весь первый курс китайского языка❤️ за всё это время я вышла только пару раз, чтобы заполнить анкету для визы, забрат

20💔17custom 547213574641865778010

Showing the 11 most recent of 11 posts we hold for @sofastudybuddies. 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 — 277,515 of 1,481,217entries 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.

Mentions

Named by 5 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.

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

“sofa | study buddies❣️” (@sofastudybuddies), 2,614 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/sofastudybuddies.

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.