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Channel
影子说
@xiaoyu122222
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
596subscribers
+210 since we began measuring on 10 October 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004415340719 |
|---|---|
| Type | Channel |
| Username | @xiaoyu122222 |
| Created | Between 1 June 2026 and 30 September 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 October 2026 |
| Last confirmed live | 19 October 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 19 October 2026 |
| On Telegram | t.me/xiaoyu122222 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Oct 2026, 21:41 | 596 | -82 |
| 13 Oct 2026, 22:31 | 678 | +292 |
| 10 Oct 2026, 22:22 | 386 | no change |
| 10 Oct 2026, 21:47 | 386 | first reading |
Engagement
16 posts held, back to 3 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
- 107.5%
- avg views ÷ 596 subscribers
- Avg views / post
- 641
- 16 posts measured
- Reaction rate
- 0.196%
- reactions ÷ views · ER floor
- Posts in window
- 16
- of 16 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 8 of 16 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 10 October 2026 |
|---|---|
| Posts held | 16 (3 October 2026 – 10 October 2026) |
| Views total | 10,250 |
| Reactions total | 13 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Oct 2026, 22:22 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
- 35s
- Average length
- 12s
Measured directly from 3 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
13 reactions across 7 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 13 | 100.0% |
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 8 of the 16 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 13 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 3 October 2026 to 10 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
emo一下
优质老师出击笔记模板 【出击报告】(REPORT @SHFriendsBG ) 位置坐标: #深圳 #福田 学生留名: #Horton 学生电报号: @tenda775 上课时间: 10.10 老师花名: #影儿 老师电报号: @yinger00080 上课花费: 12P 老师质量: 人照相符9 分,服务态度9 分,服务技能8分,情绪价值8 分 ,环境卫生8分,有无陪洗:有 ( PS: 按照1到10打分 ) 服务内容:课表 上课过程:课室位于福田小区,比较安全,指引比较清晰,室内环境尚可。见面人照基本一致,身材苗条骗瘦,正常肤色,妹子话不太多,递上水费开始冲凉,上床后开始舌吻,舌吻比较投入,口技尚可,戴套女上插入,比较紧致,姿势配合,收缩有度,本来即将发射,不知道啥原因软了,妹子很有耐心,奈何本人不在状态。。。 优点缺点:校园妹妹感 态度不错 妹子比较内向 稍微瘦了点…
精选推荐***** 福田影儿 @yinger00080 #高颜值 #乖巧的令人疼惜 #女友感 #舞蹈生 颜值拔尖,气质冷艳,眉眼精致,美得干脆利落。人照一致,声音柔美,乖巧听话,外表冷艳内心温柔,你要的姿势全配合。紧致水多、反馈真实,服务一丝不苟,甜蜜之吻,让人欲罢不能。 推荐人:卡夫卡的熊、韩韩、垭口 深港汇优质师生群 点击加入: @SZHKFriendsyzq
❤1
Photo, posted without a caption
❤2
#芳华报告 老师名字: #影儿 学生留名: # 变形钢筋 联系方式: @yinger00080 时间: 10.8 地址:沙尾 价格:12p 上课过程:提前到达课室附近,老师提前上线,想必是上一个哥们提前了,我随即跟上。进门看到一个靓丽的妹妹,跟频道里的视频差不多,影儿肤色偏黄皮,比较瘦。之后便是配浴、擦干、漱口。到床上之后,我先是躺着,影儿侧坐在一边,开始便是舌吻,影儿的嘴巴有吸力,像吸盘,给我嘴巴吸住了一下。而后便是,两点,蛋蛋最后是弟弟,影儿口的比较认真,给我的弟弟口了很久,很有感觉,而后戴套女上,吊感非常好,又紧又湿,直接让我123出水了。 👫加入芳华群聊 🏆芳华频道 📖芳华报告 ⬆️恰同学少年 唯一上榜: @fanghua88_bot 报告投稿: @fanghuabgbot
#芳华报告 老师名字: #影儿 学生留名: # 哈基米蛮波 联系方式: @yinger00080 时间: 10.8 地址:福田 价格:1200p 上课过程: 地铁口直出就到,进门看到影儿,黄皮,妆容不错,陪洗环节洗牛牛挺仔细,细看手臂有点小纹身不过用遮瑕遮起来了,无伤大雅。 洗完澡后到床上等着服务,一开始先舔咪咪,随后🐍了一会儿,揉着她的胸,软乎乎的,挺大一只手抓着揉,舌头缠绕,接着就摸向我的牛牛,先舌头扫了我的蛋蛋,接着就开始口,不断的口,吞吐牛牛,望着她努力的吃都不忍打断,口得是真的很久,有在认真服务,服务态度这块没毛病,吃得牛牛都硬邦邦,带上小雨伞,先传教士,吊感传教士挺舒服,后入的话可能我不太会,没啥感觉,还试了一下女上,女上也不错,坐得牛牛挺舒服的,感觉来了,还是选择最舒适的传教士,最后抱着🐍纹出水。 老师有点怕生,话少,服务态度不错,有小纹身不过有遮住,胸的确大胸型挺好看,洗完澡后在点了支烟抽完…
#芳华报告 老师名字: #影子 学生留名: # 望阙 联系方式: @yinger00080 时间: 10.8 地址:福田小区 价格:1200/p 上课过程: 听闻❤ 就在前几天在群里面听见卡夫卡大佬说过几天有个认识很久的女神级别的老师、当时还说来的时候就放几张优惠券、果断早早拿下、不过老师当时还没有账号、所以联系不上、随后过了几天开课的消息就放出来、提前一天早早约课,没想到就已经满了、不过刚好还是有一个位置、就约上课程了。 出发❤ 焦急等待的一天、终于等到了约定的时间、出发前还给老师发的信息、不过老师没有回信、到了地方还以为要罚站、没想到老师还是很准时的回了信息、科室的话在福田某个小区、还是很安全的楼下没有门卫、遥控上楼开门见到一个精致妆容身穿白衣下身穿黑色裙摆短裤、颜值真的很高身材也很修长、进了房间在那个小沙发坐了一会、一直盯着影子的脸看、确实很漂亮、随后影子拿了一双拖鞋、换上鞋子最后给了水费、就一起去洗澡影…
今天1点刚到深圳,下午就开课,时间有些仓促,深知给哥哥们没有带来最好的一面,感谢今天来的所有哥哥的包容和理解,在此深表感谢!9号只剩1个空位可预约!
❤1
长安风起,南粤风吟 😒深圳长安群😒 持续整合深圳靠谱开课老师资源,更有严格验证审核,有资源主榜单方便选择,有精选推荐为各位出击之路点亮一盏明灯💡每个月群内还有大量现金红包和优质老师优惠卷以及群主赞助的白嫖卷 点击下方按钮或者链接 加入深圳长安群⬇️ https://t.me/Changan8976 深圳长安群各个频道群总入口
#芳华报告 老师名字: #影儿 学生留名: # @njzyb_o 联系方式: @yinger00080 时间: 10.8 地址:福田 价格:1.2 上课过程:人照跟频道视频没区别.黄皮.c熊.很欲.刚下海.建模很好 第一次见到她的时候,我真的第一眼就被惊艳到了,完全超出我的预期。之前只是看过她自己频道发的视频,本以为线上和现实多少会有点差别,可见到真人之后才发现,她跟视频里几乎一模一样,甚至现实里的观感还要更出彩。 她属于娇小型的女孩子,个子小小的,身形纤细,整个人看着很灵巧。不是那种有距离感的艳丽,是很耐看舒服的长相,干干净净的,一眼看过去就很讨喜。她身上带着几分害羞,说话语气轻轻的,偶尔会有点拘谨,安安静静的模样特别真实,没有半分刻意做作。 分开时候一起抽了根烟,脑子里反反复复回放刚刚见面的画面。心里有种淡淡的、软软的悸动,很久没有遇到这样一眼就很戳人的人。烟雾慢慢飘散开,我还在回味刚刚相处的感觉,庆幸能遇…
❤1
感谢宝宝们厚爱,8号已🈵!可预约9号哦!
Showing the 12 most recent of 16 posts we hold for @xiaoyu122222. 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 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.
Names
Channels on the register whose handles appear in this channel's posts.
@FanghuaB · 32,1365 posts芳华报告
@fanghuagb · 3,1914 posts恰同学少年
@fanghuaR · 14,7734 posts优质师生群(中转站)
@SZHKFriendsyzq · 20,3002 posts深圳学院必吃榜
@c8028 · 2,4301 post深圳长安群中转导航站🚪(传送门)
@Changan8976 · 4,2171 post深圳🏜沙漠潜行记
@kafukad · 23,2571 post南山沈安琪精致御姐收U
@qxf88 · 12,0461 post深港汇出击笔记模板
@SHFriendsBG · 5001 post深圳学院
@sz0755 · 30,4151 post优优下海日记📔(红休🀄️)
@szftuu520 · 2,4881 post
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 19 October 2026 — this entry's latest reading, not the date you are reading this.
“影子说” (@xiaoyu122222), 596 subscribers as measured 19 October 2026. Telegram Register, tgregister.com/channel/xiaoyu122222.
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.