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Channel

翔安个人陈小姐

@c8k3927

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

500subscribers

+158 since we began measuring on 12 October 2026

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

Register entry

Telegram ID-1003705525322
TypeChannel
Username@c8k3927
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded12 October 2026
Last confirmed live28 October 2026
Measurements held5
Confirmed unchanged1 time, most recently 28 October 2026
On Telegramt.me/c8k3927

Topic

Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 28 October 2026 and assigned it the closest of 31 fixed categories, at 58% 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 the other topics.

Growth

34250042112 October 2026 — 342 subscribers12 October 2026 — 342 subscribers14 October 2026 — 375 subscribers21 October 2026 — 451 subscribers28 October 2026 — 500 subscribers12 October 202628 October 2026
5 measurements spanning 16 days, net +158. 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 318–524 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
28 Oct 2026, 21:19500+49
21 Oct 2026, 16:29451+76
14 Oct 2026, 04:58375+33
12 Oct 2026, 19:22342no change
12 Oct 2026, 18:47342first reading

Engagement

20 posts held, back to 6 October 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
180.5%
avg views ÷ 500 subscribers
Avg views / post
902
18 posts measured
Reaction rate
0.027%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 7 of 18 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 12 October 2026
Posts held20 (6 October 2026 – 12 October 2026)
Views total16,241
Reactions total2
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Oct 2026, 19:22 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

Video runtime
1m 42s
Average length
17s

Measured directly from 6 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

2 reactions across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2100.0%

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 7 of the 20 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 2 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 6 October 2026 to 12 October 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

11 Oct 2026, 05:21 UTC484 views0 reactionsread 12 October 2026

【验证日期】:10.9 【验证老师】:翔安个人陈小姐 【地 区】:翔安 【服务价格】:300 【人照几分】:8 【胸部状况】:c 【优点缺点】:老师态度很好,不敷衍,声音好听,身材不错。刚进门,老师嗲嗲的声音吸引了我,简单洗一下,老师引导我躺下,开始波推,过了一会受不了,戴套开干,先是骑乘位,老师湿热的穴包住我的2弟,爽到极致!老师上下起伏的身体带着奈子在我眼前晃啊晃,过了一会老师问我要不要后面来,我说可以,便开始了新一轮的猛攻,过了一会受不了便缴械投降~体验感还不错~值得推荐,300还要什么自行车 联系方式✈️:@chl9835 频道 :@c8k3927 机器人: @chailing123bot 扣扣3458221738

11 Oct 2026, 02:17 UTC518 views2 reactionsread 12 October 2026
Photo

开早课啦,上帝们可以来来。

❤2

10 Oct 2026, 07:43 UTC647 viewsread 12 October 2026

【验证日期】:2026年10月9日 【验证老师】:陈小姐 【地 区】:翔安 【服务价格】:7 【人照几分】:8 【胸部状况】:10 【优点缺点】:教室没有矿泉水,我做一半渴的要命hh但无伤大雅,ls各方面都很在线 验证过程及感受:第一次约这位ls的课,本来是抱着试试的心态过去的,没想到出乎意料的很好。老师声音很甜,进门就热情的打招呼还拍我屁股,教室很整洁,交了课费之后老师就帮忙洗澡,洗的时候还会温柔互动聊天,让我本来挺紧张的都放松下来了。洗完之后就是123,过程很美好hh老师身材是肉肉的但不会很胖,身材摸上去很舒服,乃子也很大。做的过程老师浪叫特别骚,声音好听。过程有个8分,有什么姿势和要求跟ls提了也会配合,最后1p差点没给我夹断在里面,太会夹了。美中不足就是教室没矿泉水hh我做一半就渴了,这时候要是ls尿我嘴里我都能喝下去。整体很满分 联系方式: @chl9835 频道:https://t.m…

9 Oct 2026, 04:45 UTC927 views0 reactionsread 12 October 2026
Video

哥哥们,这样算不算福利呀。

Showing the 12 most recent of 20 posts we hold for @c8k3927. 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.

Mentions

Named by 2 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.

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 28 October 2026 — this entry's latest reading, not the date you are reading this.

“翔安个人陈小姐” (@c8k3927), 500 subscribers as measured 28 October 2026. Telegram Register, tgregister.com/channel/c8k3927.

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.