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Telegram profile photo for 颜颜的朋友圈

Channel

颜颜的朋友圈

@qinn982

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

31subscribers

+0 since we began measuring on 25 September 2026

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

Register entry

Telegram ID-1004412666085
TypeChannel
Username@qinn982
CreatedBetween 1 June 2026 and 31 August 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded25 September 2026
Last confirmed live25 September 2026
Measurements held2
On Telegramt.me/qinn982

Growth

3125 Sept 2026, 19:47 — 31 subscribers25 Sept 2026, 20:22 — 31 subscribers25 Sept 2026, 19:4725 Sept 2026, 20:22
2 measurements taken within a single day. 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 30–32 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Sept 2026, 20:2231no change
25 Sept 2026, 19:4731first reading

Engagement

12 posts held, back to 24 September 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.

ERR · 30 days
759.7%
avg views ÷ 31 subscribers
Avg views / post
236
10 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
12
of 12 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. It is computed over the 1 of 10 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 25 September 2026
Posts held12 (24 September 2026 – 25 September 2026)
Views total2,355
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Sept 2026, 20:22 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

Photos
8
Videos
3
Links
2

Lifetime counters from Telegram’s own channel header, read 25 September 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.

Video runtime
16s
Average length
8s

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.

Recent posts

25 Sept 2026, 20:13 UTC2 viewsread 25 September 2026

今天的课已经约满了,没有约上的宝宝们可以约明天的头课,颜颜在这里谢谢各位宝宝的偏爱,爱你们哟💋💋💋💋💋💋

25 Sept 2026, 05:48 UTC218 viewsread 25 September 2026

宝宝们,起床了,可以约3点后的头课了💋💋💋💋

24 Sept 2026, 18:25 UTC280 views0 reactionsread 25 September 2026

今天约满了哦,宝宝们,谢谢你们的偏爱,接受明天头课预约,爱你们💋💋💋

24 Sept 2026, 11:37 UTC155 viewsread 25 September 2026
Forwarded from @SanYaGkbPhoto

昵称:#颜颜 位置:#吉阳 #开课中 价格:600 /P 1000 /PP 包夜2200 项目:无套吹萧、毒龙,助浴、舔蛋蛋、过水,胸推、漫游、丝袜、制服、激情爱爱、车震、野战,皮肤光滑、粉嫩紧致 介绍:身高:162 胸围C 体重53 年龄:25 联系方式:@qiq7886

24 Sept 2026, 08:20 UTC349 viewsread 25 September 2026

📣 TG海南修车总群 – 信息共享,资源交流 无论你是找资源,还是想交流经验、结识同城伙伴,这里都是你的最佳选择! 欢迎加入,一起探索更多可能!🚀 海南修车导航页 https://t.me/HaiNanSheng

24 Sept 2026, 05:51 UTC316 viewsread 25 September 2026

还在化妆中……需要约课的宝宝可以发消息约时间

Showing the 12 most recent of 12 posts we hold for @qinn982. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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.

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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“颜颜的朋友圈” (@qinn982), 31 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/qinn982.

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.