Channel
@shunli299299
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
572subscribers
+0 since we began measuring on 25 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003220443264 |
|---|---|
| Type | Channel |
| Username | @shunli299299 |
| Created | Between 1 October 2025 and 25 December 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 25 August 2026 |
| Last confirmed live | 25 August 2026 |
| Measurements held | 2 |
| Confirmed unchanged | 1 time, most recently 25 August 2026 |
| On Telegram | t.me/shunli299299 |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Aug 2026, 17:32 | 572 | no change |
| 25 Aug 2026, 16:00 | 572 | first reading |
20 posts held, back to 25 December 2025 — 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 pageof Telegram’s post history, 20 posts per page.
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 23 August 2026 |
|---|---|
| Posts held | 20 (25 December 2025 – 23 August 2026) |
| Views total | 97 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Aug 2026, 16:00 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.
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.
💃老师：#蛋挞 🤖链接： https://t.me/shanghaidadao/11653 💒位置：#松江 ------------------ 💌出击报告：家附近的老师交通便利、我比较看重服务和态度，去之前在老师频道看了各位狼友留下的好评，就有点忍不住想去立马体验、顺利约上课、见面果然老师说话很温柔、会帮洗制服丝袜也都有、非常热情主动、会主动问敏感点去服务你、服务很认真不敷衍，口活很棒、口的时候很舒适没有齿感很不错、眼神特别到位，各种爱爱姿势配合度很高、浪叫骚话不断、情绪价值拉满、让老师事后萧老师也蛮配合、后面还有帮忙按摩放松、不催钟、很棒的一次体验！
💃老师：#蛋挞 🤖链接： https://t.me/shanghaidadao/11653 💒位置：#松江 ------------------ 💌出击报告：蛋挞老师很佛系之前就一直没约上，这次终于约上了，真是女神级别我超喜欢，身材颜值很高，女上真的很爽，具体细节就不说了，周末还得返👍
🌹休了，开课通知
💃老师：#蛋挞 🤖链接： https://t.me/shanghaidadao/11653 💒位置： #松江 ------------------ 💌出击报告：ls把工作室租在了小区里面，安全多了，房间也很大，跟自己家里一样。 妹子服务很用心，这么认真的嫩妹实在稀有，约到就赚到。 做的时候和女友没什么区别，做得太投入，时间过得很快，意犹未尽就交了作业，这样服务贴心的妹妹，颜值又高，不愁没有回头客，以后迟早是红牌。
有🈳有🈳
💃老师：#蛋挞 🤖链接：https://t.me/shanghaidadao/11143 💒位置：#松江 ------------------ 💌出击报告：口活一流名不虚传！嘴巴又小又热，舌头特别灵活，舔得又细又到位。从龟头到根部、蛋蛋再到后面，全程无死角。吸吮力度强，深喉顺畅，还会主动用喉咙收缩夹紧，口水又多又滑，吹得我爽到腿软，技术绝对是顶级水准。舌吻也做得特别投入。她舌头又软又会缠，湿吻又深又热烈，边吻边喘息，亲得人全身发烫，情欲瞬间被点燃。最让人兴奋的是她的三点粉。粉嫩的乳头、小穴和菊花颜色都很漂亮，视觉上特别干净诱人。舔起来味道清新，水又多又甜，被我玩弄的时候反应特别敏感，夹得紧紧的，叫声又软又浪。蛋挞全程服务热情主动，配合度高，口活、舌吻加上粉嫩的三点，组合起来让人欲罢不能。整个过程既舒服又刺激，完全没有敷衍的感觉。强烈推荐给喜欢高水平口活、湿吻和粉嫩身体的狼友！蛋挞绝对是性价比超高～
花开无声，黄玫瑰的温柔，像极了你的眼神。
Video, posted without a caption
💃老师：#蛋挞 🤖链接：https://t.me/shanghaidadao/10015 💒位置：#松江 ------------------ 💌出击报告：长相甜美可爱，笑起来有两个小酒窝，属于那种一看就想宠的类型。她开门就穿着粉色轻薄浴袍，里面明显真空，隐约能看到C杯的轮廓和粉嫩小点。一进来她就很主动，拉着我的手直接进了浴室陪浴🛀。热水放得温度刚好，她先帮我全身涂满沐浴露，然后整个人贴上来慢慢摩擦。C杯软软地压在我胸口，大腿内侧夹着鸡巴轻轻磨动，浴室里水声、喘息声和身体碰撞的声音混在一起，暧昧感直接拉满。她还转过身用翘臀在我下面顶来顶去，技术很会撩人。洗完澡出来，她直接把我推到床上，跪着开始裸吹。口活温柔又细致，舌头灵活地绕着龟头打转，时而深含到底，时而轻舔马眼，吸吮力度适中，眼睛还抬头看着我，骚劲十足。吹了一会儿后她用胸推服务，C杯夹得又紧又热，涂上润滑液后上下滑动特别顺滑，奶头时不时蹭过敏感部位，视觉冲击巨大，爽得我差点直…
💃老师：#蛋挞 🤖链接： https://t.me/shanghaidadao/3750 💒位置： #松江 ------------------ 💌出击报告：和老师约好时间直接过来，进门老师很温柔，交了水费一起洗澡很细心很到位，看着老师的胸胸展现在我面前已经有点忍不住了，擦干后拉着老师立马上床，没让老师做服务，感觉第一炮有点忍不住直接开干很快结束，去清洗一下休息片刻老师展开服务，穿上性感的小丝袜高跟鞋中服小舌头很灵活，口的相当不错，感觉一下就上来了，带上小雨伞老师上位，我操，扭动着大屁股坐在我的身上哦……端着老师的大屁股上下抽动，感觉老师的逼在吸我，紧紧地夹住，我闭上眼睛享受一番，没有一会儿就这样被老师做出来了，这个体位太享受了，强烈推荐
有🈳有🈳
相互思念的人见面才有意义💗
Showing the 12 most recent of 20 posts we hold for @shunli299299. 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.
Citation-graph rank — 552,141 of 1,626,884entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“蛋挞的小作坊” (@shunli299299), 572 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/shunli299299.
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.