预约中

Channel
宝安 小佳 08 学妹
@xiaojia324
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
3,670subscribers
-190 since we began measuring on 22 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1003933190364 |
|---|---|
| Type | Channel |
| Username | @xiaojia324 |
| Created | Between 1 April 2026 and 4 May 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 22 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/xiaojia324 |
Topic
Adult — 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 14 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 23:37 | 3,670 | +114 |
| 14 Sept 2026, 04:00 | 3,556 | -92 |
| 10 Sept 2026, 18:36 | 3,648 | -270 |
| 5 Sept 2026, 08:59 | 3,918 | -30 |
| 1 Sept 2026, 01:38 | 3,948 | +55 |
| 29 Aug 2026, 09:47 | 3,893 | -13 |
| 26 Aug 2026, 19:12 | 3,906 | +9 |
| 23 Aug 2026, 16:07 | 3,897 | +37 |
| 22 Aug 2026, 06:16 | 3,860 | first reading |
Engagement
20 posts held, back to 4 May 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
- 3.84%
- avg views ÷ 3,670 subscribers
- Avg views / post
- 141
- 1 post measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 1
- 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.
| Window | Rolling 30 days · latest post in window 22 August 2026 |
|---|---|
| Posts held | 20 (4 May 2026 – 22 August 2026) |
| Views total | 141 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Aug 2026, 06:16 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 12s
- Average length
- 12s
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
36 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 61.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 22 | 61.1% | |
| ❤ | 8 | 22.2% | |
| 💩 | 6 | 16.7% |
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 8 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 36 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 4 May 2026 to 22 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
派大星出击报告 验证留名:boot 验证时间:8.20号 老师花名:#小佳 城市坐标:#深圳 #宝安 上课花费: 1500pp 颜值身材:9 服务内容:xqz舌吻胸推 出击体验:今天比小佳到的早,所以进课室等她,头一回在课室里等人,完全不一样的体验,甚至还有点小紧张,后面就是自然而然的体验了,进了浴室之后有宝宝的陪洗,最后洗完了突然有含棒服务,爽快到了,挺不错。后面就是床上的事情了,宝宝就是课表上的服务,很细致,先口舒服之后,就到和宝宝的互品环节,最后宝宝在上面、在下面出水,一气呵成,还和宝宝约了下一次哈哈,吃情绪价值的颜控的狼友无脑冲😘 优点缺点:性价比高 联系方式: @xiaojia395 已验证资源频道(备用防失联): https://t.me/+CPbPtzDMtyA3NGI1 深圳派大星聊天群:https://t.me/+6UsWWNy1A9BmYTM1 群主 : @YANZI1998Abc 管理员: …
❤1
预约中
开课也许二天,也行三天,说不定,要是预约好,出发之前,要说声,说不定隔天休息了,避免跑空
认证视频,是本人回来啦
回来了,想我就预约吧,走起
开课,预约中
回来,只开课4天
你要记得每天想我一千次
❤1
本人去香港了,过几天在回来开课,给你们推荐闺蜜
Video, posted without a caption
❤1
派大星出击报告 验证留名: 验证时间:5月29号 老师花名:#小佳(08嫩妹) 城市坐标:#深圳 #宝安 上课花费: 800p 颜值身材:9 服务内容:xqz舌吻 出击体验: 人照一致,颜值高,大长腿翘臀体,瘦但是有胸,这个很棒,乳头小很嫩 验细节:小佳休息了很久终于约上头课,一见面感觉比较腼腆,第一印象高瘦,感觉有170,脸真的小,一句话很嫩,陪洗,然后开始服务,看得出来是刚出道,服务比较生疏,皮肤属于黄皮,但是真嫩啊,最爱嫩妹了,除了不能舔下面其他要求都基本能满足,有🐍,但感觉还不是特别能放得开,但对于🐍党来说这个已经很不错了,能狂野点当然更好了😆。胸真的爱了,虽然不是很大,但算得上瘦底大胸了,而且挺,很爱,亲了很久。然后就是女上,再传教士,123结束,小佳太嫩了之前刚被桩,我也不忍心再桩了😂,希望大哥们怜香惜玉。总的来说我喜欢,会回味,下次会返食,希望可以给我pp时间。 联系方式: @xiaojia395 已…
❤3
Showing the 12 most recent of 20 posts we hold for @xiaojia324. 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 3 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“宝安 小佳 08 学妹” (@xiaojia324), 3,670 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/xiaojia324.
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.