【时间】:2026-09-09 【老师】:星野 【留名】:匿名 【人照】:9 【态度】:9 【环境】:9 【综合】:9 【过程】:老师在某公寓开课,位置比较好找,进门科室干净整洁。人照9️⃣分左右,图片只是多点美颜,这点好评。深V巨乳呼之欲出,迫不及待开始洗澡。没想到陪浴时服务已经开始了,正反面沐浴露胸推指划,很会挑逗,还有水中萧环节,光洗澡就洗了快十分钟,服务拉满。到床上也是不紧不慢,舔遍身上每一个角落,老师据说以前是会所出来的,态度、服务没得说。口活建议可以激烈一点,戴套老师先女上,感觉不是很方便于是传教士+后入玩了十分钟,老师的小穴毛发比较稀疏,水多紧滑,闷哼呻吟非常真实,反馈很足,最后握着老师的大奶出货。会所的服务+98,5P整体性价比很高。 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!

Channel
星野小课堂
@xingyelove520
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry
365subscribers
+272 since we began measuring on 8 September 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1003772449587 |
|---|---|
| Type | Channel |
| Username | @xingyelove520 |
| Created | Between 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 September 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/xingyelove520 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 22:21 | 365 | +150 |
| 10 Sept 2026, 19:41 | 215 | +122 |
| 10 Sept 2026, 09:23 | 93 | no change |
| 8 Sept 2026, 12:17 | 93 | first reading |
Engagement
15 posts held, back to 4 September 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
- 130.6%
- avg views ÷ 365 subscribers
- Avg views / post
- 477
- 10 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 15
- of 15 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 10 September 2026 |
|---|---|
| Posts held | 15 (4 September 2026 – 10 September 2026) |
| Views total | 4,767 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 10 Sept 2026, 09:23 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
- 11s
- Average length
- 6s
Measured directly from 2 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.
Recent posts
【时间】:2026-09-09 【老师】:星野 【留名】:匿名 【人照】:9 【态度】:9 【环境】:9 【综合】:9 【过程】:老师在某公寓开课,位置比较好找,进门科室干净整洁。人照9️⃣分左右,图片只是多点美颜,这点好评。深V巨乳呼之欲出,迫不及待开始洗澡。没想到陪浴时服务已经开始了,正反面沐浴露胸推指划,很会挑逗,还有水中萧环节,光洗澡就洗了快十分钟,服务拉满。到床上也是不紧不慢,舔遍身上每一个角落,老师据说以前是会所出来的,态度、服务没得说。口活建议可以激烈一点,戴套老师先女上,感觉不是很方便于是传教士+后入玩了十分钟,老师的小穴毛发比较稀疏,水多紧滑,闷哼呻吟非常真实,反馈很足,最后握着老师的大奶出货。会所的服务+98,5P整体性价比很高。 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!
初来乍到|与美好不期而遇✨很高兴,在这里认识大家😚星野等你哦
星野小课堂 pinned a video
【时间】:2026-09-07 【老师】:星野 【留名】:达米恩 【人照】:9 【态度】:10 【环境】:9 【综合】:9.33 【过程】:态度实在太好了,又热情又有耐心。老师的大灯是个特色,个人觉得C到D罩杯了。还有老师的舌头特别灵活,听说老师做柔式起家,会的招式比较多,有毒🐲的,而且还很久。实在是态度太好了,点赞! 苏州茶馆主群 https://t.me/szcgll @QiangSbot 机器人查车评,例如 : 某某某 茶馆不给任何老师担保收取定金!被骗请自理!
【时间】:2026-09-08 【老师】:星野 【留名】:许七夜 【人照】:9 【颜值】:9 【身材】:9 【服务】:9.2 【态度】:9.2 【环境】:9.2 【综合】:9.1 【过程】:看到新上的大胸服务系老师,立马联系老师确定时间,到达地方遥控上楼,进门老师穿着黑色qq内衣,胸都露出来了,确实很大,简单聊了一会,就去淋浴了,脱完衣服,更能显出老师的大胸,全程老师帮忙洗漱,这时候就开始服务了,正面背面都有胸推,水中萧也有,二弟已经被老师摩擦的硬的不行,赶紧擦干上床,老师立马又换了一套衣服,躺在床上继续享受服务,跟课表一致,老师调情很厉害,硬的受不了,带上小雨伞进入,各种姿势都很配合,换了几个姿势,做的大汗淋漓最终出货,老师也很尽兴,有机会会二刷。
Video, posted without a caption
接下来的日子里追求进步。努力创造美好的画面与宝宝们一起分享日常点滴,在线接单……
Channel photo updated
第一天开课。是有点紧张的,但是感谢。今天来的宝宝们对我的耐心教导,谢谢你们👍👍👍
新人在线开课,欢迎来指导
星野小课堂 pinned a photo
Showing the 12 most recent of 15 posts we hold for @xingyelove520. 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 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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“星野小课堂” (@xingyelove520), 365 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/xingyelove520.
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.