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Channel

南山一迪07初恋女友🔥(初次下海)

@anyajinjiang

Has discussion group

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

11,771subscribers

+7,816 since we began measuring on 12 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002586453545
TypeChannel
Username@anyajinjiang
Description个人兼职 颜值在线 情绪价值拉满🌈约课私信 @anyaya12哥哥主动点 我们的故事就开始了 😍双向 @anyabbot😘频道 @anyajinjiang
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded2 September 2026
Last confirmed live6 November 2026
Measurements held41
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/anyajinjiang

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 82% 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

3,91812,5528,23512 August 2026 — 3,955 subscribers12 August 2026 — 3,952 subscribers15 August 2026 — 3,924 subscribers18 August 2026 — 3,918 subscribers21 August 2026 — 3,994 subscribers24 August 2026 — 4,348 subscribers27 August 2026 — 4,455 subscribers30 August 2026 — 4,369 subscribers2 September 2026 — 6,140 subscribers2 September 2026 — 6,140 subscribers7 September 2026 — 11,499 subscribers10 September 2026 — 11,644 subscribers12 September 2026 — 11,686 subscribers14 September 2026 — 11,659 subscribers15 September 2026 — 11,653 subscribers18 September 2026 — 12,552 subscribers30 September 2026 — 11,830 subscribers5 October 2026 — 11,780 subscribers9 October 2026 — 11,728 subscribers13 October 2026 — 11,747 subscribers15 October 2026 — 11,774 subscribers16 October 2026 — 11,761 subscribers17 October 2026 — 11,771 subscribers18 October 2026 — 11,780 subscribers19 October 2026 — 11,779 subscribers20 October 2026 — 11,795 subscribers21 October 2026 — 11,790 subscribers22 October 2026 — 11,795 subscribers23 October 2026 — 11,797 subscribers24 October 2026 — 11,795 subscribers25 October 2026 — 11,796 subscribers26 October 2026 — 11,783 subscribers27 October 2026 — 11,791 subscribers29 October 2026 — 11,785 subscribers30 October 2026 — 11,781 subscribers1 November 2026 — 11,783 subscribers2 November 2026 — 11,774 subscribers3 November 2026 — 11,772 subscribers4 November 2026 — 11,770 subscribers5 November 2026 — 11,769 subscribers6 November 2026 — 11,771 subscribers11,77112 August 20266 November 2026
41 measurements spanning 87 days, net +7,816. 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 2,623–13,847 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 41
Measured (UTC)SubscribersChange
6 Nov 2026, 22:1011,771+2
5 Nov 2026, 20:2511,769-1
4 Nov 2026, 22:2011,770-2
3 Nov 2026, 21:1111,772-2
2 Nov 2026, 19:2011,774-9
1 Nov 2026, 16:4811,783+2
30 Oct 2026, 16:4611,781-4
29 Oct 2026, 17:2811,785-6
27 Oct 2026, 12:4911,791+8
26 Oct 2026, 15:4711,783-13
25 Oct 2026, 16:3711,796+1
24 Oct 2026, 15:5011,795-2
23 Oct 2026, 16:2811,797+2
22 Oct 2026, 14:4911,795+5
21 Oct 2026, 09:0811,790-5
20 Oct 2026, 04:2611,795+16
19 Oct 2026, 03:1911,779-1
18 Oct 2026, 06:1911,780+9
17 Oct 2026, 05:1711,771+10
16 Oct 2026, 01:4111,761first reading

Engagement

18 posts held, back to 20 October 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 9 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
43.0%
avg views ÷ 11,771 subscribers
Avg views / post
5,060
18 posts measured
Reaction rate
0.031%
reactions ÷ views · ER floor
Posts in window
18
of 18 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 17 of 18 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 2 November 2026
Posts held18 (20 October 2026 – 2 November 2026)
Views total91,050
Reactions total27
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 08:01 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
159
Videos
35
Links
24

Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
1m 09s
Average length
10s

Measured directly from 7 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.

Reaction mix

27 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 81.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2281.5%
👍414.8%
😍13.70%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 17 of the 18 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 27 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 20 October 2026 to 2 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

Telegram’s own ‘edited’ marker: 3 of 18 posts held from the last 30 days (16.7%) 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).

2 Nov 2026, 12:52 UTC≈3,770 views1 reactionsread 7 November 2026
Photo

老师进群需要视频通话验证,只接收优质老师的学生署名报告 分享优质老师,发掘优秀新人 纯真实内部粉丝交流群,邀请审核制,只吸收优质老师和真正出击客 优质师生群导航 点击加入: @SZHKFriendsyzq 点击下方复制报告模板 (无用户名的没法加分) 创建 ModularBot

❤1

27 Oct 2026, 04:11 UTC≈12,500 views9 reactionsread 7 November 2026
Video

再见了我的小蛮腰,我要回学校穿棉袄了,哈哈……谢谢各位哥哥们对我得照顾,下次相遇会更好哦,十二月见。🌈🌈🌈🍓🍓🍓

❤6👍3

26 Oct 2026, 06:58 UTC≈9,010 views1 reactionsread 7 November 2026
Video

今天已🈵,暂不接受预定,明天返校。🌈🌈🌈🍓🍓🍓

❤1

26 Oct 2026, 04:14 UTC≈3,860 views1 reactionsread 7 November 2026

优质老师出击笔记模板 【出击报告】(REPORT @SHFriendsBG ) 位置坐标: #深圳 #南山 学生留名: #月落赴山河 学生电报号: @SeeYouAgainTo 上课时间: 10.25 老师花名: #一迪 老师电报号: @anyaya12 上课花费: P 老师质量: 人照相符 9分,服务态度 10分,服务技能 9 分,情绪价值 10分 ,环境卫生 9分,有无陪洗:有 ( PS: 按照1到10打分 ) 服务内容: 见课表,女友感十足 上课过程: 期待了好久,终于约上了一迪。不愧是“满姐”,头课都排到了一周以后。 按着指引上楼,推开课室的一瞬间,映入眼帘的是一个精致的小美女,穿着黑色连衣裙,亭亭玉立,身材高挑,S型曲线和大长腿一览无余,站在那儿就自带气场。 坐在沙发上聊了会儿家常,气氛慢慢放松了下来。交了水费,一迪脱了衣服,三点粉…

❤1

24 Oct 2026, 05:59 UTC≈4,510 views1 reactionsread 7 November 2026

优质老师出击笔记模板 【出击报告】(REPORT @SHFriendsBG ) 位置坐标: #深圳 #南山 学生留名: #阿龙 学生电报号: @Alisongarcia338 上课时间: 202610 老师花名: #一迪 老师电报号: @anyaya12 上课花费: p 老师质量: 人照相符 8分,真人比照片清纯漂亮,服务态度 10 分,服务技能 9分,情绪价值 9分 ,环境卫生 10 分,有陪洗: ( PS: 按照1到10打分 ) 服务内容: 全套,课表上有的都有 上课过程: 跟着老师的指引来到南山的著名景点课室,一开门老师穿着传说的经典黑色连衣裙,身材高挑,五官跟气质一看就是大学生,课室里还放着我喜欢的经典音乐,一下子情侣感就上来了。一起上楼,老师陪洗陪聊非常温柔,关键是老师的身材太顶了,mm又圆又翘,双腿和腰臀比例都很棒,而且全身很白,洗了一会小弟弟就立正了。正课开…

❤1

23 Oct 2026, 03:59 UTC≈4,000 views1 reactionsread 7 November 2026

优质老师出击笔记模板 【出击报告】(REPORT @SHFriendsBG ) 位置坐标: #深圳 #地区 学生留名: #向前 学生电报号: @Xiangqian077 上课时间: 2026/10/22 老师花名: #一迪 老师电报号: @anyaya12 上课花费: 12p 老师质量: 人照相符(本人比频道更漂亮)分,服务态度 10分,服务技能 9分,情绪价值 10分 ,环境卫生 10分,有无陪洗:有 ( PS: 按照1到10打分 ) 服务内容: 与众不同的体验 上课过程: 本人和频道关系,本人颜值比照片更好看 而且频道身材就是一迪本人,不管是颜值身材与气质 在我心里绝对是顶美 进门一看是位高挑的漂亮妹妹,萝莉脸御姐音,大长腿,长且直,皮肤很白 洗头乌黑的长发 看到一迪那高颜值时 我懵了 怎么这么像我高中同学 一迪很热情得拉着我的手坐到沙发上 我目不转睛…

❤1

22 Oct 2026, 06:31 UTC≈4,490 views2 reactionsread 7 November 2026
Video

今天已🈵🌈🌈🌈🍓🍓🍓

❤1😍1

22 Oct 2026, 04:17 UTC≈2,970 views3 reactionsread 7 November 2026

优质老师出击笔记模板 【出击报告】(REPORT @SHFriendsBG ) 位置坐标: #深圳 #南山 学生留名: #小帅帅 学生电报号: @aony5565 上课时间: 2026/10/19 老师花名: #一迪 老师电报号: @anyaya12 上课花费: 1200 老师质量: 人照相符 8分,服务态度 9 分,服务技能 8分,情绪价值 9分 ,环境卫生 9分,有无陪洗:有 服务内容: xcz 上课过程: 身材肤色基本和照片视频一致,照片里面脸的话有p,身高170高挑型大学生嫩妹,一点风尘味没有,真胸36C又白又大手感无敌好让人流连忘返,皮肤又白又紧致,颜值高,身材及肤色可以排前7%级别,颜值前15%级别,整体硬件条件太顶级了,奶子又白又大,但是无蛇且脆皮~ 之前姨妈鸽了一次,这次有优先排队权终于约上了,一进门看到一个皮肤白的发亮的高挑御姐,穿着高跟鞋的动作还不太熟练,我心里已经乐开花了~是我喜欢的款!洗个手坐到沙发开始聊…

❤2👍1

21 Oct 2026, 05:45 UTC≈3,970 views1 reactionsread 7 November 2026
Video

今天休息一天,约定今天的宝子可以找我退订哦,🌈🌈🌈🍓🍓🍓

❤1

Showing the 12 most recent of 18 posts we hold for @anyajinjiang. 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

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 4 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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“南山一迪07初恋女友🔥(初次下海)” (@anyajinjiang), 11,771 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/anyajinjiang.

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.