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Telegram profile photo for curls and glasses🌓

Channel

curls and glasses🌓

@curlsandglasses

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

148subscribers

+2 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1003128682220
TypeChannel
Username@curlsandglasses
CreatedBetween 1 September 2025 and 30 November 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live16 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/curlsandglasses

Growth

1461481478 August 2026 — 146 subscribers8 August 2026 — 146 subscribers16 August 2026 — 148 subscribers8 August 202616 August 2026
3 measurements spanning 8 days, net +2. 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 146–148 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 02:56148+2
8 Aug 2026, 20:47146no change
8 Aug 2026, 01:45146first reading

Engagement

5 posts held, back to 26 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
77.0%
avg views ÷ 148 subscribers
Avg views / post
114
5 posts measured
Reaction rate
24.2%
reactions ÷ views · ER floor
Posts in window
5
of 5 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 7 August 2026
Posts held5 (26 July 20267 August 2026)
Views total570
Reactions total138
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 20:47 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
1m 08s
Average length
34s

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

138 reactions across 5 posts, in 10 distinct kinds. The most used accounts for 34.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4734.1%
💘2518.1%
🌭2115.2%
😱1913.8%
❤‍🔥117.97%
🔥96.52%
🌚21.45%
🍓21.45%
💯10.725%
😘10.725%

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 5 of the 5 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 138reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 5 most recent posts we hold, published 26 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.

Recent posts

7 Aug 2026, 10:33 UTC55 views16 reactionsread 8 August 2026
Photo

https://vm.tiktok.com/ZN8dWGn1K/ ПХАХПХПХ

🌭102🌚2🍓1💘1

4 Aug 2026, 11:16 UTC98 views26 reactionsread 8 August 2026
Photo

Фильм человек паук❤️💙 Я пошла из-за моей любимой песни Монеточки, которую у нас вырезали( Ниче, я её пела в кинотеатре А вообще киновселенная Марвел стала моим самым первым масштабным фандомом, я шарила за все, хочу вернуться в этот прайм Надеюсь реснички все оценили

18🌭3🔥3💯1😘1

3 Aug 2026, 15:59 UTC119 views38 reactionsread 8 August 2026
Photo

Ммм что будет)

😱19❤‍🔥116🌭1🍓1

1 Aug 2026, 13:12 UTC122 views21 reactionsread 8 August 2026

Важная информация!❤️ Наступило время создания чата для обсуждения Кошмаров. Афигеть ура И так друзья, как-то так вышло, что недавно я потратила всю ночь на то, чтобы перечитать половину фанфика и у меня есть ЧТО ОБСУДИТЬ. Много новой инфы, теорий и просто разных заметок, к тому же интересно, что вы об этом думаете, потому что у меня едет крыша. В общем хочу создать чатик с заинтересованными людьми, где можно обсужда

13🌭6💘2

26 Jul 2026, 12:57 UTC176 views37 reactionsread 8 August 2026
Photo

Теперь навсегда хорошо, причина тому - ты. Как я люблю эту девушку, она такая невероятная У меня был хедканон, что Оливия играет на гитаре. Покидайте тоже свои хедканончики)

💘228🔥6🌭1

Showing the 5 most recent of 5 posts we hold for @curlsandglasses. 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 — 1,323,166 of 1,480,975entries 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 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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“curls and glasses🌓” (@curlsandglasses), 148 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/curlsandglasses.

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.