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Channel

东莞嗨老友推荐官

@jsppyl99

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

24,845subscribers

+12,719 since we began measuring on 17 August 2026

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

Register entry

Telegram ID-1002242636464
TypeChannel
Username@jsppyl99
Description嗨老友管理员: @qtdsfj 嗨老友交流群: @taozai668
Created20 July 2024 — measured — dated from the channel’s first post
First recorded17 August 2026
Last confirmed live17 October 2026
Measurements held32
Confirmed unchanged1 time, most recently 17 October 2026
On Telegramt.me/jsppyl99

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 64% 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

12,12624,84518,485.517 August 2026 — 12,126 subscribers17 August 2026 — 12,298 subscribers18 August 2026 — 12,500 subscribers19 August 2026 — 12,996 subscribers20 August 2026 — 13,333 subscribers22 August 2026 — 14,034 subscribers23 August 2026 — 14,218 subscribers25 August 2026 — 14,611 subscribers26 August 2026 — 14,874 subscribers27 August 2026 — 15,085 subscribers28 August 2026 — 15,168 subscribers29 August 2026 — 15,364 subscribers30 August 2026 — 15,653 subscribers31 August 2026 — 15,693 subscribers1 September 2026 — 15,819 subscribers2 September 2026 — 15,999 subscribers3 September 2026 — 16,112 subscribers4 September 2026 — 16,572 subscribers7 September 2026 — 17,213 subscribers10 September 2026 — 18,097 subscribers12 September 2026 — 18,770 subscribers14 September 2026 — 19,003 subscribers16 September 2026 — 19,350 subscribers18 September 2026 — 19,698 subscribers30 September 2026 — 21,303 subscribers5 October 2026 — 22,253 subscribers10 October 2026 — 23,557 subscribers13 October 2026 — 24,222 subscribers15 October 2026 — 24,324 subscribers16 October 2026 — 24,403 subscribers17 October 2026 — 24,460 subscribers17 October 2026 — 24,845 subscribers17 August 202617 October 2026
32 measurements spanning 61 days, net +12,719. 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 10,218–26,753 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
17 Oct 2026, 22:4024,845+385
17 Oct 2026, 01:3824,460+57
16 Oct 2026, 04:3624,403+79
15 Oct 2026, 02:1124,324+102
13 Oct 2026, 18:4824,222+665
10 Oct 2026, 03:3723,557+1,304
5 Oct 2026, 19:2022,253+950
30 Sept 2026, 07:2021,303+1,605
18 Sept 2026, 06:5419,698+348
16 Sept 2026, 02:5719,350+347
14 Sept 2026, 11:5619,003+233
12 Sept 2026, 18:3718,770+673
10 Sept 2026, 17:2118,097+884
7 Sept 2026, 17:0117,213+641
4 Sept 2026, 15:2116,572+460
3 Sept 2026, 02:0716,112+113
2 Sept 2026, 00:0815,999+180
1 Sept 2026, 03:2615,819+126
31 Aug 2026, 01:0415,693+40
30 Aug 2026, 02:0715,653first reading

Engagement

41 posts held, back to 20 July 2024 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 53 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.29%
avg views ÷ 24,845 subscribers
Avg views / post
1,320
16 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
16
of 41 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 1 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 18 October 2026
Posts held41 (20 July 2024 – 18 October 2026)
Views total21,047
Reactions total0
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken18 Oct 2026, 18:31 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
42
Videos
14
Links
14

Lifetime counters from Telegram’s own channel header, read 18 October 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
1h 07m
Average length
4m 31s

Measured directly from 15 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

14 reactions across 9 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤14100.0%

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 11 of the 41 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 14 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 41 most recent posts we hold, published 20 July 2024 to 18 October 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

18 Oct 2026, 14:50 UTC37 viewsread 18 October 2026
Photo

#城中村 #扫街 #站街 #快餐 快餐爱好者-和丝袜少妇打艰苦巷战

18 Oct 2026, 06:05 UTC91 viewsread 18 October 2026
Photo

➡️东莞嗨老友推荐榜单 📱东莞 #南城区 😛老师 #日式AV丝足👠 🤓水费 A500 🤓水费 B750 🤓水费 C1500 年龄:28 身高:164 体重:98 胸围:36D 内容⬇️ #高跟鞋 #制服诱惑 #激情舔玉足 #摸丝袜玉足 #跪舔 #扇耳光 #足耳光 #恋足 🚀私信 @ncyumi

13 Oct 2026, 11:50 UTC≈1,380 viewsread 18 October 2026
Photo

#东莞 #城中村 #扫街 #站街 #站街 城中村按摩店,神似明星的爆乳少妇,舔奶头,打飞机喷射

12 Oct 2026, 09:33 UTC≈1,490 viewsread 18 October 2026
Photo

#东莞 #南城 #城中村 #扫街 #站街 城中村站街少妇奶子又大又饱满,100多的快餐真是爽

11 Oct 2026, 08:34 UTC≈1,980 viewsread 18 October 2026
Photo

Telegram必备的搜索引擎,极搜JISOU帮你精准找到,想要的群组、频道、视频、音乐 👉 t.me/jisou2?start=a_6544690283

11 Oct 2026, 08:34 UTC≈1,980 viewsread 18 October 2026
Video

#东莞 #东城 #站街 #扫街 #城中村 #快餐 昏黄路灯下,偶尔闪过的曼妙身影,总让人心跳加速,兄弟们,深夜扫街的快乐,从来都是越找越上头。

10 Oct 2026, 09:22 UTC≈2,120 viewsread 18 October 2026
Video

#东莞 #东莞道滘小河村 #城中村 #站街 #扫街 #快餐 深夜的城中村,昏黄灯光下,几位妹妹安静地站在巷口,眼神迷离却带着明显的期待,她们仿佛专门为陌生人而等待。

9 Oct 2026, 07:52 UTC≈2,050 viewsread 18 October 2026
Photo

#城中村 #扫街 #站街 #发廊 城中村按摩店,188选一个美丽人妻服务

9 Oct 2026, 07:48 UTC≈2,520 viewsread 18 October 2026
Video

#城中村 #扫街 #站街 #长安 好多极品靓女 根本搞不完,挑了其中一个后入好久没干感觉爽到爆

8 Oct 2026, 08:55 UTC≈2,090 viewsread 18 October 2026
Photo

#东莞 #石蝎镇老巷 #城中村 #扫街 #站街 #发廊 年轻妈妈刚下海做足疗,谁敢信她是刚入行的?表面温柔礼貌,实际身体已经彻底放开。

Showing the 12 most recent of 41 posts we hold for @jsppyl99. 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.

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 17 October 2026 — this entry's latest reading, not the date you are reading this.

“东莞嗨老友推荐官” (@jsppyl99), 24,845 subscribers as measured 17 October 2026. Telegram Register, tgregister.com/channel/jsppyl99.

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.