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Channel
@sofiyarudman
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
1,764subscribers
+427 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001497961419 |
|---|---|
| Type | Channel |
| Username | @sofiyarudman |
| Created | Between 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 14 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/sofiyarudman |
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 16 September 2026 and assigned it the closest of 31 fixed categories, at 83% 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 |
|---|---|---|
| 17 Sept 2026, 20:57 | 1,764 | -7 |
| 13 Sept 2026, 22:39 | 1,771 | -3 |
| 9 Sept 2026, 21:00 | 1,774 | -166 |
| 4 Sept 2026, 03:19 | 1,940 | +415 |
| 1 Sept 2026, 03:36 | 1,525 | -54 |
| 29 Aug 2026, 07:25 | 1,579 | +1 |
| 26 Aug 2026, 02:54 | 1,578 | -10 |
| 23 Aug 2026, 06:16 | 1,588 | -10 |
| 20 Aug 2026, 00:02 | 1,598 | -14 |
| 16 Aug 2026, 21:05 | 1,612 | -10 |
| 13 Aug 2026, 18:15 | 1,622 | -6 |
| 10 Aug 2026, 20:34 | 1,628 | +291 |
| 8 Aug 2026, 03:04 | 1,337 | no change |
| 8 Aug 2026, 01:35 | 1,337 | first reading |
12 posts held, back to 22 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 page 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 12 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
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.
632 reactions across 12 posts, in 10 distinct kinds. The most used accounts for 18.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5291988716192019328 | 116 | 18.4% | |
| custom 5251677506066480465 | 97 | 15.3% | |
| custom 5260395185870751447 | 95 | 15.0% | |
| custom 5246998542924406254 | 90 | 14.2% | |
| custom 5348273296238463512 | 53 | 8.39% | |
| custom 5317018664606642198 | 43 | 6.80% | |
| custom 5195243959374332844 | 41 | 6.49% | |
| ❤ | 35 | 5.54% | |
| custom 5262949750814034284 | 34 | 5.38% | |
| custom 5260704522300310507 | 28 | 4.43% |
Custom emoji. 9 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 are 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 12 of the 12 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 632 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 22 July 2026 to 7 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @sofiyarudman. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 12 most recent posts we hold for this entry, published 22 July 2026 to 7 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
🤍🧿
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Video message, posted without a caption
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67❤️
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Sun🤍💛
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Video message, posted without a caption
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Самые лучшие средства для загара 1. St.Barth oil 🧡 Это масло стимулирует выработку меланина, усиливая естественную защиту кожи и придавая загару нежное медно-бронзовое сияние. SPF 6 идеально подходит тем, кто стремится к глубокому ровному загару при умеренной защите от солнца. 2. Cire aseptine 🤎 Два продукта: масло и спрей для загара с SPF 0. Я их начала покупать три года назад в обычном магазине, но не в России. В…
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🩵new🧿new💛new🍋new🍊
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🍊🧡☀️🌴
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💛💛💛 Inst / tik tok
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Мой #smusthave в жаркую погоду 🩵 Спрей - мист от Dr.Althea с морской водой Очень легкий увлажняющий мист без спирта, парфюмерной отдушки и эфирных масел. Он содержит: - несколько форм гиалуроновой кислоты; - глицерин и современные увлажняющие компоненты; - аллантоин и Sodium DNA для успокаивающего эффекта. Это хороший мист для увлажнения и ощущения свежести. Особенно актуален летом, после солнца или когда ко…
custom 524699854292440625412custom 529198871619201932811custom 52603951858707514476custom 51952439593743328444custom 52516775060664804654custom 53482732962384635124custom 52629497508140342841
Video, posted without a caption
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Low cortisol life >> 🤍
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Showing the 12 most recent of 12 posts we hold for @sofiyarudman. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
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.
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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“Sofiya R” (@sofiyarudman), 1,764 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/sofiyarudman.
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.