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Channel

雪宝D奶开课小屋

@fangyuan52

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

1,232subscribers

+1,165 since we began measuring on 29 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003924015771
TypeChannel
Username@fangyuan52
Created24 August 2026measured — dated from the channel’s first post
First recorded29 August 2026
Last confirmed live16 September 2026
Measurements held7
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/fangyuan52

Topic

Other / unclassifiable — 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 18 September 2026 and assigned it the closest of 31 fixed categories, at 61% 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

671,232649.529 August 2026 — 67 subscribers29 August 2026 — 1,081 subscribers1 September 2026 — 1,134 subscribers4 September 2026 — 1,195 subscribers9 September 2026 — 1,220 subscribers13 September 2026 — 1,227 subscribers16 September 2026 — 1,232 subscribers29 August 202616 September 2026
7 measurements spanning 19 days, net +1,165. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 22:381,232+5
13 Sept 2026, 00:381,227+7
9 Sept 2026, 01:391,220+25
4 Sept 2026, 01:551,195+61
1 Sept 2026, 00:171,134+53
29 Aug 2026, 07:351,081+1,014
29 Aug 2026, 02:1567first reading

Engagement

19 posts held, back to 24 August 2026the 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
37.4%
avg views ÷ 1,232 subscribers
Avg views / post
461
16 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
19
of 19 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 2 of 16 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 August 2026
Posts held19 (24 August 202628 August 2026)
Views total7,377
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 02:15 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 00s
Average length
15s

Measured directly from 4 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

27 Aug 2026, 14:56 UTC328 viewsread 29 August 2026

半岛嫩妹会报告模板: https://telegram.me/hangzhoubandao 【优势】巨乳 配合度高 【不足】🈚️ 【妹子花名】:#雪宝 【联系方式】:@jhfccno 【妹子年龄】:20+ 【验证留名】:达子 【验证时间】:7月27日 【大概位置】:西湖区 【修车水费】:工兵p 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 有没要 ③ 情绪价值 ✅ ④ 毒龙 【人照相似】:照片有点美颜但是本人也好看 【身高身材】:身高162 皮肤白 嫩滑 【凶器罩杯】:胸型c+大小,乳头粉颜色 手感不错 【湿度紧度】:蝴蝶比 水多 比紧 【环境细节】:交通/出入方便,房间整洁 【个人卫生】:否抽烟,有漱口水/牙刷/浴巾,事前事后有清洗 【时间管理】:开课准时,排课宽松,课时做完 【服务点评】:服务到位,无少做,过程无机车 【推荐程度】:✅ 差评 中评 中好评 好评 超级好评✅ 【流

27 Aug 2026, 14:56 UTC281 viewsread 29 August 2026

半岛嫩妹会报告模板: https://telegram.me/hangzhoubandao 【优势】胸大 态度好 【不足】服务再加强一点 【妹子花名】:#雪宝 【联系方式】:@jhfccno 【妹子年龄】:21 【验证留名】:Mx 【验证时间】:8月27日 【大概位置】:西湖区 【修车水费】:工兵 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照相似】:人照相似8.5分 颜值是否好看,气质/穿搭如何 【身高身材】:身高160左右 身材好 【凶器罩杯】:胸型d奶大 又大又软 【湿度紧度】:比比粉 水多 紧度佳 【环境细节】:交通/出入方便,房间整洁 【个人卫生】:不抽烟,有漱口水/牙刷/浴巾,事前事后有清洗 【时间管理】:开课准时,排课宽松,课时做完 【服务点评】:服务到位,无少做,过程无机车 【推荐程度】:✅ 差评 中评 中好评 好评✅ 超级好评

27 Aug 2026, 14:56 UTC253 viewsread 29 August 2026
Forwarded from @HzdxBGp

📖杭州大学专用报告📖 https://t.me/hz_dx 【课程评价】:#超级好评 【老师花名】:#雪宝 【联系方式】:@jhfccno 【课时费用】:工兵 【老师类型】:#嫩妹 【验证留名】:Not Found 【验证时间】:8月27日 【课室位置】:#拱墅 【课程服务】: ▪️舌吻 ▪️舔🐻 ▪️69 【人照相似】:9 【身高体重】:160/100 【肤色罩杯】:D 【纹身数量】:肩膀纹身 【课室卫生】:环境整洁 【个人卫生】:一次性用品 【服务态度】:满分 【详情反馈】: #老师缺点 无 #老师优点 皮肤光滑,大胸超软 #情绪价值 态度好,听话 #出击体验与流程总结 满分,看到妹子工兵是我的菜立马拿下,约好时间按照老师遥控指挥到达课室,让老师开门,老师微胖,大胸大屁股,进入教室就给了水费,立马进去洗香香,随后一起躺床上,老师从嘴唇开始,到耳垂,到小弟弟,口的非常卖力,而且不喊停就一直口,非常听话,一边揉着大奶子玩弄着乳头

27 Aug 2026, 08:31 UTC306 views0 reactionsread 29 August 2026
Forwarded from @alexreportchannel

Alex的大奶食谱: https://t.me/alexteamreport 【老师花名】:#雪宝D奶 【上课费用】:6折工兵p 【上课区域】:#池华街 【出击评价】:#接近超级好评 【出击狼友】:SMD 【老师特点】:#D奶 #初下海 【老师车牌】: @jhfccno #硬件配置 160cm,49kg,20+,人照近似(御姐感),d奶前凸后翘,胸d巨软,户型较好,小蝴蝶 #服务内容 【舔胸】,【帮擦】,【口交】,【69】(反馈好),【舌吻】(有但没要) #情绪价值 亲和力好,有良家感(害羞到不敢开灯),会根据需求进行服务 #态度意识 很听话(正常的基本要求都会听),会主动服务,面带(害羞)微笑服务,浴后帮擦 #日感反馈 女上需要开发,体力可以,各种姿势的反馈及时并且真实,屌感很润,容易娇喘 #精选黄文 老师按课前要求穿了制服,进门感觉人照无差,略开了瘦脸。课室比较干净,是暂住的,后续找到房子会换。浴室比较小,

26 Aug 2026, 13:01 UTC577 viewsread 29 August 2026

杭州探花楼,最真实的玩家交流群。 https://telegram.me/hz5hz

Showing the 12 most recent of 19 posts we hold for @fangyuan52. 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.

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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“雪宝D奶开课小屋” (@fangyuan52), 1,232 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/fangyuan52.

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.