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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
TypeChannel
Username@jiangnanlu1
Description上榜联系 @ruguoniye_bot
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live4 November 2026
Measurements held58
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.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

23,82229,48726,654.56 August 2026 — 23,822 subscribers6 August 2026 — 23,822 subscribers8 August 2026 — 23,898 subscribers8 August 2026 — 23,945 subscribers9 August 2026 — 24,008 subscribers10 August 2026 — 24,059 subscribers11 August 2026 — 24,119 subscribers12 August 2026 — 24,169 subscribers14 August 2026 — 24,229 subscribers15 August 2026 — 24,326 subscribers17 August 2026 — 24,402 subscribers18 August 2026 — 24,446 subscribers19 August 2026 — 24,492 subscribers20 August 2026 — 24,540 subscribers21 August 2026 — 24,617 subscribers22 August 2026 — 24,697 subscribers24 August 2026 — 24,744 subscribers25 August 2026 — 24,784 subscribers26 August 2026 — 24,852 subscribers27 August 2026 — 24,893 subscribers28 August 2026 — 24,922 subscribers29 August 2026 — 24,967 subscribers30 August 2026 — 25,017 subscribers31 August 2026 — 25,092 subscribers1 September 2026 — 25,141 subscribers2 September 2026 — 25,198 subscribers3 September 2026 — 25,245 subscribers6 September 2026 — 25,379 subscribers9 September 2026 — 25,634 subscribers11 September 2026 — 25,842 subscribers13 September 2026 — 26,012 subscribers15 September 2026 — 26,127 subscribers17 September 2026 — 26,304 subscribers26 September 2026 — 26,879 subscribers4 October 2026 — 27,558 subscribers9 October 2026 — 27,733 subscribers13 October 2026 — 28,004 subscribers14 October 2026 — 28,143 subscribers15 October 2026 — 28,210 subscribers16 October 2026 — 28,285 subscribers17 October 2026 — 28,348 subscribers18 October 2026 — 28,392 subscribers19 October 2026 — 28,471 subscribers20 October 2026 — 28,558 subscribers21 October 2026 — 28,638 subscribers23 October 2026 — 28,710 subscribers24 October 2026 — 28,779 subscribers25 October 2026 — 28,855 subscribers25 October 2026 — 28,903 subscribers26 October 2026 — 28,978 subscribers27 October 2026 — 29,047 subscribers28 October 2026 — 29,134 subscribers30 October 2026 — 29,202 subscribers31 October 2026 — 29,259 subscribers1 November 2026 — 29,345 subscribers2 November 2026 — 29,400 subscribers3 November 2026 — 29,455 subscribers4 November 2026 — 29,487 subscribers6 August 20264 November 2026
58 measurements spanning 90 days, net +5,665. 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”. The vertical axis spans 22,972–30,337 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 58
Measured (UTC)SubscribersChange
4 Nov 2026, 09:0629,487+32
3 Nov 2026, 08:3029,455+55
2 Nov 2026, 05:4829,400+55
1 Nov 2026, 03:1829,345+86
31 Oct 2026, 02:5829,259+57
30 Oct 2026, 02:0629,202+68
28 Oct 2026, 23:5129,134+87
27 Oct 2026, 23:1629,047+69
26 Oct 2026, 22:5628,978+75
25 Oct 2026, 22:4628,903+48
25 Oct 2026, 01:1728,855+76
24 Oct 2026, 03:5628,779+69
23 Oct 2026, 00:2128,710+72
21 Oct 2026, 23:4728,638+80
20 Oct 2026, 16:5628,558+87
19 Oct 2026, 18:1628,471+79
18 Oct 2026, 21:3528,392+44
17 Oct 2026, 20:3428,348+63
16 Oct 2026, 19:2128,285+75
15 Oct 2026, 15:5528,210first 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 4 November 2026
Posts held348 (6 August 2026 – 4 November 2026)
Views total104,279
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 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).

4 Nov 2026, 11:30 UTC451 viewsread 4 November 2026
Photo

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

4 Nov 2026, 10:40 UTC532 viewsread 4 November 2026
Photo

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

4 Nov 2026, 10:00 UTC706 viewsread 4 November 2026
Photo

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

3 Nov 2026, 12:10 UTC≈1,110 viewsread 4 November 2026
Photo

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

3 Nov 2026, 11:35 UTC≈1,140 viewsread 4 November 2026
Photo

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

3 Nov 2026, 11:05 UTC≈1,190 viewsread 4 November 2026
Photo

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

2 Nov 2026, 14:55 UTC967 viewsread 3 November 2026
Photo

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

2 Nov 2026, 08:10 UTC≈1,470 viewsread 3 November 2026
Photo

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

2 Nov 2026, 07:25 UTC≈1,450 viewsread 3 November 2026
Photo

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

2 Nov 2026, 06:00 UTC993 viewsread 2 November 2026
Photo

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

1 Nov 2026, 12:46 UTC≈1,010 viewsread 2 November 2026
Photo

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

1 Nov 2026, 10:50 UTC≈1,160 viewsread 2 November 2026
Photo

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.

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.