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Channel

南京 95中项 家庭spa养生会所

@jn95spa

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

24,353subscribers

+1,496 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1002047846392
TypeChannel
Username@jn95spa
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live30 October 2026
Measurements held54
Confirmed unchanged1 time, most recently 30 October 2026
On Telegramt.me/jn95spa

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 58% 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

22,85724,35323,6058 August 2026 — 22,857 subscribers8 August 2026 — 22,857 subscribers8 August 2026 — 22,882 subscribers9 August 2026 — 22,930 subscribers10 August 2026 — 22,949 subscribers12 August 2026 — 22,977 subscribers13 August 2026 — 23,005 subscribers14 August 2026 — 23,075 subscribers16 August 2026 — 23,116 subscribers17 August 2026 — 23,175 subscribers18 August 2026 — 23,217 subscribers19 August 2026 — 23,245 subscribers20 August 2026 — 23,279 subscribers21 August 2026 — 23,314 subscribers22 August 2026 — 23,331 subscribers24 August 2026 — 23,362 subscribers25 August 2026 — 23,384 subscribers26 August 2026 — 23,423 subscribers27 August 2026 — 23,455 subscribers28 August 2026 — 23,490 subscribers29 August 2026 — 23,517 subscribers30 August 2026 — 23,536 subscribers31 August 2026 — 23,543 subscribers1 September 2026 — 23,546 subscribers2 September 2026 — 23,571 subscribers3 September 2026 — 23,593 subscribers5 September 2026 — 23,602 subscribers7 September 2026 — 23,623 subscribers11 September 2026 — 23,618 subscribers13 September 2026 — 23,611 subscribers14 September 2026 — 23,601 subscribers16 September 2026 — 23,624 subscribers18 September 2026 — 23,637 subscribers25 September 2026 — 23,658 subscribers3 October 2026 — 23,819 subscribers8 October 2026 — 23,842 subscribers12 October 2026 — 23,939 subscribers14 October 2026 — 23,984 subscribers15 October 2026 — 24,032 subscribers16 October 2026 — 24,064 subscribers17 October 2026 — 24,088 subscribers18 October 2026 — 24,113 subscribers19 October 2026 — 24,134 subscribers20 October 2026 — 24,174 subscribers21 October 2026 — 24,210 subscribers22 October 2026 — 24,232 subscribers23 October 2026 — 24,242 subscribers24 October 2026 — 24,259 subscribers25 October 2026 — 24,284 subscribers26 October 2026 — 24,282 subscribers27 October 2026 — 24,279 subscribers28 October 2026 — 24,317 subscribers29 October 2026 — 24,341 subscribers30 October 2026 — 24,353 subscribers8 August 202630 October 2026
54 measurements spanning 83 days, net +1,496. 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 22,633–24,577 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 54
Measured (UTC)SubscribersChange
30 Oct 2026, 15:3624,353+12
29 Oct 2026, 16:5724,341+24
28 Oct 2026, 16:1924,317+38
27 Oct 2026, 13:3824,279-3
26 Oct 2026, 14:5924,282-2
25 Oct 2026, 14:4424,284+25
24 Oct 2026, 15:0124,259+17
23 Oct 2026, 13:4624,242+10
22 Oct 2026, 16:1124,232+22
21 Oct 2026, 13:4524,210+36
20 Oct 2026, 07:4824,174+40
19 Oct 2026, 07:1024,134+21
18 Oct 2026, 10:1524,113+25
17 Oct 2026, 12:4824,088+24
16 Oct 2026, 15:1824,064+32
15 Oct 2026, 14:4624,032+48
14 Oct 2026, 12:1623,984+45
12 Oct 2026, 22:0723,939+97
8 Oct 2026, 11:0023,842+23
3 Oct 2026, 20:5523,819first reading

Engagement

33 posts held, back to 10 July 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 110 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
44.8%
avg views ÷ 24,353 subscribers
Avg views / post
10,900
9 posts measured
Reaction rate
0.091%
reactions ÷ views · ER floor
Posts in window
9
of 33 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 8 of 9 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 21 October 2026
Posts held33 (10 July 2026 – 21 October 2026)
Views total98,182
Reactions total89
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Oct 2026, 08:37 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 04s
Average length
16s

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.

Reaction mix

300 reactions across 28 posts, in 12 distinct kinds. The most used accounts for 86.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤25986.3%
👍113.67%
👎93.00%
😍51.67%
😐31.00%
🥰31.00%
🦄31.00%
🎉20.667%
👏20.667%
💯10.333%
😁10.333%
🤯10.333%

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 32 of the 33 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 300 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 33 most recent posts we hold, published 10 July 2026 to 21 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

21 Oct 2026, 00:12 UTC32 viewsread 21 October 2026
Photo

海量资源搜索 海搜 TG必备的最全 搜索引擎 海搜 @haisou 👉 https://t.me/haisou?start=a_6014333065

19 Oct 2026, 19:40 UTC≈7,440 views11 reactionsread 30 October 2026
Photo

#南站 田田格 一个给你跳艳舞的姐姐 身高165 体重100 🐻D课程 : 👄一550(50分钟) 👄一🖐推一次650(60分钟) 服务:丝足 调情 指滑 漫游 过水 胸推 臀推 鼻息 海底捞月 角色扮演 制服 丝袜 情趣高跟都有。艳舞姐!

❤8😐3

19 Oct 2026, 19:29 UTC≈7,410 views2 reactionsread 30 October 2026
Photo

#南站 仪仪er 身高163。体重 98斤 ,🐻C ,🉑毒龙 🉑69 🉑🐍。B面:指划,鼻吸,🐻划,过水,漫游,口沙,吸皮, A面:可69,指划,鼻吸,🐻推 ,吸🐻,👅蛋, 服务会所级别。全裸口爆500一次。 口一次手一次六米。 两次口7米

❤2

8 Oct 2026, 18:27 UTC≈14,800 views41 reactionsread 30 October 2026
Photo

#建邺区 小小知 身高:159 体重:89 🐻:c 04年 颜值系嫩妹 女友感 态度好 没班味 情绪价值高 有0.8年的会所服务经验。 🉑69 果冻毒龙 没有🐍 房间服装很多,以调情为主,主打女友陪伴感,b面服务不专业。(女仆式95)34码小脚 全luo口💥:600米一次 人照9分。(望哥哥们指教。)

❤27👍4😍4🦄3👎2💯1

7 Oct 2026, 05:59 UTC≈13,700 views8 reactionsread 30 October 2026
Photo

#江宁区 王美丽 身高168体重108斤 🐻b+ 会所出身 🉑🐍 ,裸顶🐉,深🐵,指划,鼻吸,🐻划,过水,漫游,口沙,吸皮,🉑69,指划,鼻吸,🐻推 ,臀推,人照7分,技能型选手! 500口一次 600口一次手一次 700口2次

❤6👎2

5 Oct 2026, 19:02 UTC≈13,500 views2 reactionsread 30 October 2026

聊天群: https://t.me/nj95spa666 预约联系: @nj9104

❤2

5 Oct 2026, 17:39 UTC≈13,800 views11 reactionsread 30 October 2026
Photo

#建邺区 万达广场 达达 丰满大胸少妇 本人照片 身高162体重103斤 🐻c➕皮肤白 服务好 B面:培浴,指划,鼻吸,🐻划,过水,漫游,口沙,吸皮,A面:可69,指划,鼻吸,🐻推 ,🉑毒龙 真人照片 可以浅吻,其他都能配合! 500口一次 600口一次手一次 700口2次

❤6👎5

5 Oct 2026, 08:52 UTC≈13,400 views11 reactionsread 30 October 2026

#浦口 小虎牙 望江阅府 身高165 🐻b++ 95口爆一次6米50分钟服务 服务 : 丝袜制服任选,过水,漫游,毒龙,胸推,,口💥 按摩 ,素质高 谈吐风雅,颜值不错!

❤10👍1

3 Oct 2026, 04:32 UTC≈14,100 views3 reactionsread 30 October 2026

聊天群: https://t.me/nj95spa666 预约联系: @nj9104

❤3

27 Sept 2026, 06:59 UTC≈17,900 views32 reactionsread 30 October 2026
Photo

南站 文睛 年纪:25.身高:160.体重:46公斤.🐻:b➕ 服务内容:(助浴、背面按摩、指滑、胸滑、调情、猴子偷🍑、正面指滑、窃窃私语、口活、69、臀推)臀推特色。 600一次

❤21👍5🥰3👏2😍1

13 Sept 2026, 18:44 UTC≈22,600 views5 reactionsread 30 October 2026

聊天群: https://t.me/nj95spa666 预约联系: @nj9104

❤5

13 Sept 2026, 18:42 UTC≈17,900 views11 reactionsread 19 October 2026
Photo

#江宁区 红绿灯🚥三姐妹 会所出身,可🐍 🉑69 🐉 全裸口爆一次5米 口一手一 6米 三个人是在一层楼,各自都有课室 适合结伴出击的一个好去处

❤8🎉2👍1

Showing the 12 most recent of 33 posts we hold for @jn95spa. 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 1 registered channel — 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.

Named by

Channels on the register whose posts name this channel's handle.

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

“南京 95中项 家庭spa养生会所” (@jn95spa), 24,353 subscribers as measured 30 October 2026. Telegram Register, tgregister.com/channel/jn95spa.

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.