艺名:#小缘 @xiaoyuan781 课费: 1000p(50分钟) 2000pp(100分钟) 标签: #普陀 #嫩妹 #幼态 #舌吻 #萝莉 #SM 最新报告(点击查看、联系报御姐群): https://t.me/yujie_feedback_search_bot?start=xiaoyuan781 🔥推荐频道 🔝点击进御姐群

Channel
江南风情录
@jiangnanlu1
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Posts edited after publishing · Citations · Cite this entry
29,487subscribers
+5,665 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002723328847 |
|---|---|
| Type | Channel |
| Username | @jiangnanlu1 |
| Description | 上榜联系 @ruguoniye_bot |
| Created | Between 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 4 November 2026 |
| Measurements held | 58 |
| Confirmed unchanged | 1 time, most recently 4 November 2026 |
| On Telegram | t.me/jiangnanlu1 |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 70% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Nov 2026, 09:06 | 29,487 | +32 |
| 3 Nov 2026, 08:30 | 29,455 | +55 |
| 2 Nov 2026, 05:48 | 29,400 | +55 |
| 1 Nov 2026, 03:18 | 29,345 | +86 |
| 31 Oct 2026, 02:58 | 29,259 | +57 |
| 30 Oct 2026, 02:06 | 29,202 | +68 |
| 28 Oct 2026, 23:51 | 29,134 | +87 |
| 27 Oct 2026, 23:16 | 29,047 | +69 |
| 26 Oct 2026, 22:56 | 28,978 | +75 |
| 25 Oct 2026, 22:46 | 28,903 | +48 |
| 25 Oct 2026, 01:17 | 28,855 | +76 |
| 24 Oct 2026, 03:56 | 28,779 | +69 |
| 23 Oct 2026, 00:21 | 28,710 | +72 |
| 21 Oct 2026, 23:47 | 28,638 | +80 |
| 20 Oct 2026, 16:56 | 28,558 | +87 |
| 19 Oct 2026, 18:16 | 28,471 | +79 |
| 18 Oct 2026, 21:35 | 28,392 | +44 |
| 17 Oct 2026, 20:34 | 28,348 | +63 |
| 16 Oct 2026, 19:21 | 28,285 | +75 |
| 15 Oct 2026, 15:55 | 28,210 | first reading |
Engagement
348 posts held, back to 6 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 135 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.18%
- avg views ÷ 29,487 subscribers
- Avg views / post
- 644
- 162 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 162
- of 348 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 4 November 2026 |
|---|---|
| Posts held | 348 (6 August 2026 – 4 November 2026) |
| Views total | 104,279 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 4 Nov 2026, 12:23 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
- Photos
- ≈2,410
- Videos
- ≈511
- Links
- ≈363
Lifetime counters from Telegram’s own channel header, read 4 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 34m 11s
- Average length
- 8s
Measured directly from 267 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
Telegram’s own ‘edited’ marker: 3 of 162 posts held from the last 30 days (1.85%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
艺名:#雨宝 @xiaomanmanya11 课费: 1500p(45分钟) 2300pp(90分钟) 标签: #普陀 #嫩妹 #巨乳 #舌吻 #长腿 #包夜 最新报告(点击查看、联系报御姐群): https://t.me/yujie_feedback_search_bot?start=xiaomanmanya11 🔥推荐频道 🔝点击进御姐群
艺名:#意涵 @yami126126 课费: 1300p(40分钟) 1600pp(70分钟) 标签: #闵行 #御姐 #大胸 #白虎 #细腰 #大臀 😀大尺度大胸-1 😀大尺度大胸-2 最新报告(点击查看、联系报御姐群): https://t.me/yujie_feedback_search_bot?start=yami126126 🔥推荐频道 🔝点击进御姐群
艺名:#小瑶 @miss_yaobao 课费: 1800p(60分钟) 3500pp(120分钟) 标签: #徐汇 #嫩妹 #颜值 #舌吻 #女友 #包夜 最新报告(点击查看、联系报御姐群): https://t.me/yujie_feedback_search_bot?start=miss_yaobao 🔥推荐频道 🔝点击进御姐群
艺名:#凌凌 @lingl_071 课费: 1400p(60分钟) 2600pp(120分钟) 标签: #闵行 #嫩妹 #颜值 #舌吻 #小车 #包时 😀点击看萝莉白虎身材照 最新报告(点击查看、联系报御姐群): https://t.me/yujie_feedback_search_bot?start=lingl_071 🔥推荐频道 🔝点击进御姐群
艺名:#林贝贝 @bEI5201333 课费: 1300p(50分钟) 2100pp(90分钟) 标签: #浦东 #嫩妹 #舌吻 #颜值 #大胸 #苗条 最新报告(点击查看、联系报御姐群): https://t.me/yujie_feedback_search_bot?start=bEI5201333 🔥推荐频道 🔝点击进御姐群
艺名:#肉肉 @rouroutoo 课费: 3000p(60分钟) 6000pp(100分钟) 标签: #静安 #嫩妹 #大胸 #翘臀 #细腰 #包时 #白皮 #潮喷 #玩具 #颜值 #角色 #包夜 最新报告(点击查看): https://t.me/yujie_feedback_search_bot?start=rouroutoo 🔥推荐频道 🔝点击进御姐群
艺名:#结衣 @Yuiibaby3366 课费: 1600p(45分钟) 2800pp(90分钟) 标签: #徐汇 #御姐 #颜值 #舌吻 #混血 #女友 最新报告(点击查看、联系报御姐群): https://t.me/yujie_feedback_search_bot?start=Yuiibaby3366 🔥推荐频道 🔝点击进御姐群
艺名:#小杜 @xd_66888 课费: 700p(45分钟) 1400pp(90分钟) 标签: #宝山 #嫩妹 #舌吻 #大胸 #小车 #包时 #包夜 #性价比 最新报告(点击查看、联系报御姐群): https://t.me/yujie_feedback_search_bot?start=xd_66888 🔥推荐频道 🔝点击进御姐群
艺名:#欢欢 @hhpd147 课费: 900p(45分钟) 1600pp(90分钟) 标签: #浦东 #嫩妹 #舌吻 #大胸 #长腿 #BBW 最新报告(点击查看、联系报御姐群): https://t.me/yujie_feedback_search_bot?start=hhpd147 🔥推荐频道 🔝点击进御姐群
艺名:#久慕慕 @jiumumuy 课费: 1200p(50分钟) 1900pp(80分钟) 标签: #长宁 #御姐 #大胸 #口爆 #毒龙 #服务 最新报告(点击查看、联系报御姐群): https://t.me/yujie_feedback_search_bot?start=jiumumuy 🔥推荐频道 🔝点击进御姐群
艺名:#小洁酱 @miss_jiebao 课费: 2000p(60分钟) 3800pp(90分钟) 标签: #普陀 #嫩妹 #颜值 #舌吻 #大胸 #上门 #野战 #玩具 #白虎 #馒头 #事后萧 最新报告(点击查看、联系报御姐群): https://t.me/yujie_feedback_search_bot?start=miss_jiebao 🔥推荐频道 🔝点击进御姐群
Showing the 12 most recent of 348 posts we hold for @jiangnanlu1. 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
@jiangnanlu1 edited 1 post 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
- 8 August 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 34 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. The 23 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@yujiehcoujiang · 1,74920 posts浦东康桥朵朵的频道(可外)
@duoduo_421 · 3,5123 posts浦东三林小猴子频道
@houzishaipd · 1,8072 postsniki瑜伽教练🧘♂️
@niki667778888 · 2,3832 posts小钰的频道
@xiaoyu8494 · 6872 posts💞 熙桐 甜妹纯欲 自聊
@ahz6898 · 5891 post把浪漫藏进晚汐里
@AiXingyao · 3921 post贝莉の小屋(开)假一赔万
@beilihome · 2,0081 post腿模➕短剧演员米米自聊
@dfghj54328mumu · 4001 postJanice
@jiujiu06166 · 11 post丽颖的空间
@jiyin25 · 791 post混血美惠子➕二次元模特
@LinDa66188250 · 6611 post喵喵的频道
@miaomiao643 · 6,1611 post糯糯开课 闵行开课
@ndd14777 · 5341 post萝莉双子星御萝
@SZ08980 · 5631 post小柳相册频道
@xhjf2269 · 2271 post江小白的后宫
@xiaobaihaorp · 1761 post心妍咖啡厅
@xinyanmvp · 971 post瑶瑶的诱惑
@yaoyaonb666666 · 6,5601 post樱子的朋友圈
@yingzi3547 · 4301 post米米的频道
@yqqqbaby131 · 2,8581 post小雨熙的老公们
@yuxkky · 5111 post知念的私密空间
@zhinaindehouhuayuan · 2,2691 post
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 4 November 2026 — this entry's latest reading, not the date you are reading this.
“江南风情录” (@jiangnanlu1), 29,487 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/jiangnanlu1.
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.