【时间】:2026-08-29 【老师】:#艾总 【留名】:小白出击 【人照】:10 【颜值】:9.7 【身材】:9.5 【服务】:9.5 【态度】:10 【环境】:10 【综合】:9.78 【过程】:艾总头一次来大连玩,只短开一周,决定来捧捧场,于是早早约好了日子。一见到本人,人照和这张车评基本差不多,妆容精致,身材高挑,但又频道里高冷御姐形象有些不同,聊天说话有趣可爱,有点平翘舌不分,化身小艾,让我在一句句有点帅中又一次迷失了自己🤡 课表项目均会认真做,事前事后均陪洗,褪衣后能看到皮肤很好光滑且细腻。来到床前,战袍自己挑,前戏很主动且昆感佳,依旧三个姿势女上交货,事后躺着聊聊趣事待到满中撤退。 总结:颜值够用,女友感佳,纤细党所爱。🐍党慎重。

Channel
艾的中转频道
@xiaoai1111333
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Cite this entry
847subscribers
-9,519 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002432308416 |
|---|---|
| Type | Channel |
| Username | @xiaoai1111333 |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 14 September 2026 |
| Measurements held | 27 |
| Confirmed unchanged | 1 time, most recently 14 September 2026 |
| On Telegram | t.me/xiaoai1111333 |
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 19 September 2026 and assigned it the closest of 31 fixed categories, at 77% 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 |
|---|---|---|
| 14 Sept 2026, 16:19 | 847 | +56 |
| 8 Sept 2026, 01:20 | 791 | -9,708 |
| 5 Sept 2026, 00:41 | 10,499 | -5 |
| 3 Sept 2026, 09:37 | 10,504 | +2 |
| 2 Sept 2026, 01:53 | 10,502 | +3 |
| 1 Sept 2026, 02:35 | 10,499 | -4 |
| 31 Aug 2026, 02:44 | 10,503 | +3 |
| 30 Aug 2026, 04:16 | 10,500 | -5 |
| 29 Aug 2026, 06:44 | 10,505 | +7 |
| 28 Aug 2026, 03:25 | 10,498 | +17 |
| 27 Aug 2026, 03:33 | 10,481 | +5 |
| 26 Aug 2026, 02:34 | 10,476 | +25 |
| 25 Aug 2026, 05:04 | 10,451 | +43 |
| 24 Aug 2026, 02:05 | 10,408 | +21 |
| 22 Aug 2026, 10:14 | 10,387 | +29 |
| 20 Aug 2026, 21:35 | 10,358 | +63 |
| 19 Aug 2026, 20:12 | 10,295 | -2 |
| 18 Aug 2026, 17:54 | 10,297 | -4 |
| 17 Aug 2026, 14:27 | 10,301 | +12 |
| 16 Aug 2026, 04:36 | 10,289 | first reading |
Engagement
105 posts held, back to 5 August 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 44 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 145.2%
- avg views ÷ 847 subscribers
- Avg views / post
- 1,230
- 31 posts measured
- Reaction rate
- 0.334%
- reactions ÷ views · ER floor
- Posts in window
- 31
- of 105 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 21 of 31 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 August 2026 |
|---|---|
| Posts held | 105 (5 August 2026 – 29 August 2026) |
| Views total | 38,126 |
| Reactions total | 93 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 14:45 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
- 3m 14s
- Average length
- 15s
Measured directly from 13 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
394 reactions across 62 posts, in 6 distinct kinds. The most used accounts for 43.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 170 | 43.1% | |
| 👍 | 153 | 38.8% | |
| 🥰 | 55 | 14.0% | |
| 🎉 | 9 | 2.28% | |
| 😁 | 6 | 1.52% | |
| 🔥 | 1 | 0.254% |
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 66 of the 105 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 394 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 105 most recent posts we hold, published 5 August 2026 to 29 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
沈阳? 真会整活啊 哈哈哈哈哈哈哈哈
❤3
6点半有个pp位既🈵
【时间】:2026-08-29 【老师】:#艾总 【留名】:大王叫我来巡山(暂时上岸) 【人照】:10 【颜值】:10 【身材】:9.9 【服务】:9.2 【态度】:10 【环境】:9.5 【综合】:9.77 【过程】:又来了两发,很稀薄,像十二年前门口 五毛銭一杯的米粥。 我们跑完早操在店门口经过,谈论将来要用理想做什么。 尘雾还没散,塑料管里躺着的像是被水稀释的一缕晨光。 卖粥的阿姨总是笑着往每个杯子里多撒一坨糖衣。 那时我们以为生活永远会这么甜。 多年后的这个清晨,我对着洗手间镜子挤牙膏,突然看见那些白色膏体像极了当年杯沿凝固的米浆。 电动牙刷的嗡鸣里,我分明听见有人在雾气那头问:你后来把理想种在哪儿了? 而答案正顺着下水道,沉默地流走。(夯)
早呀 今日 5点后有位 明日 6点后有位 最后两天要杀青啦🛀☀️☁️🌹💯
茶也是plus版本 爽的嘞 评论区皆可以留言 艾嘎嘎宠粉,别害怕🌹
【时间】:2026-08-28 【老师】:#艾总 【留名】:Kaikai 【人照】:10 【颜值】:10 【身材】:10 【服务】:10 【态度】:10 【环境】:10 【综合】:10 【过程】:香甜软糯 ,🐮b
每个人有每个人的玩法,以及谈吐 要记住线下的样子 不过于花里胡哨,线下即是刚刚好🌹 有缘自会 再见!🌹
👍9
【时间】:2026-08-28 【老师】:#艾总 【留名】:匿名 【人照】:10 【颜值】:9 【身材】:9 【服务】:10 【态度】:10 【环境】:10 【综合】:9.67 【过程】:很健谈的南方甜妹,颜值身材在线,夯
❤2
早呀 ☁️ 今日下午一个位 晚上一个位🛀 10点下班🎵
和你们玩儿 我是认真的 认准艾总 皆可玩 🛀 要很骚那得绕一下,目前不做网黄🛀🎵
❤8👍3🥰1
锅包肉 海肠捞饭 地三鲜 海鲜焖子 蓝天 白云☁️ 蓝海 风 太阳 爱与不爱 皆自由🎵🛀🌱🌹💞🍀
❤12
Showing the 12 most recent of 105 posts we hold for @xiaoai1111333. 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.
Posts edited after publishing
@xiaoai1111333 edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 8 August 2026
- Most recent edit
- 22 August 2026
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 6 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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 1
- vacant every time we have ever looked
@xiaoai1111333 named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 2 posts, 12 August 2026 – 12 August 2026
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 14 September 2026 — this entry's latest reading, not the date you are reading this.
“艾的中转频道” (@xiaoai1111333), 847 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/xiaoai1111333.
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.