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Channel

常州车友会嫩妹榜🍭

@changzhoujwc2

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

22,031subscribers

+11,624 since we began measuring on 19 August 2026

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

Register entry

Telegram ID-1003777177484
TypeChannel
Username@changzhoujwc2
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded19 August 2026
Last confirmed live28 October 2026
Measurements held40
Confirmed unchanged1 time, most recently 28 October 2026
On Telegramt.me/changzhoujwc2

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 79% 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

10,40725,94218,174.519 August 2026 — 10,407 subscribers19 August 2026 — 10,407 subscribers20 August 2026 — 10,586 subscribers21 August 2026 — 10,712 subscribers23 August 2026 — 10,912 subscribers24 August 2026 — 11,108 subscribers26 August 2026 — 11,221 subscribers27 August 2026 — 11,318 subscribers27 August 2026 — 17,159 subscribers28 August 2026 — 19,017 subscribers29 August 2026 — 19,106 subscribers30 August 2026 — 19,164 subscribers31 August 2026 — 19,266 subscribers1 September 2026 — 19,341 subscribers3 September 2026 — 19,440 subscribers4 September 2026 — 19,649 subscribers7 September 2026 — 22,399 subscribers10 September 2026 — 24,225 subscribers12 September 2026 — 24,427 subscribers14 September 2026 — 24,556 subscribers15 September 2026 — 24,700 subscribers18 September 2026 — 24,929 subscribers30 September 2026 — 25,942 subscribers6 October 2026 — 25,597 subscribers10 October 2026 — 24,944 subscribers13 October 2026 — 24,306 subscribers15 October 2026 — 24,113 subscribers15 October 2026 — 24,066 subscribers16 October 2026 — 23,976 subscribers17 October 2026 — 23,719 subscribers19 October 2026 — 23,546 subscribers20 October 2026 — 23,442 subscribers20 October 2026 — 23,128 subscribers22 October 2026 — 22,776 subscribers23 October 2026 — 22,671 subscribers23 October 2026 — 22,584 subscribers24 October 2026 — 22,396 subscribers26 October 2026 — 22,334 subscribers26 October 2026 — 22,117 subscribers28 October 2026 — 22,031 subscribers22,03119 August 202628 October 2026
40 measurements spanning 70 days, net +11,624. 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 8,077–28,272 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 40
Measured (UTC)SubscribersChange
28 Oct 2026, 00:5022,031-86
26 Oct 2026, 22:5122,117-217
26 Oct 2026, 00:1722,334-62
24 Oct 2026, 21:0922,396-188
23 Oct 2026, 23:1622,584-87
23 Oct 2026, 02:3822,671-105
22 Oct 2026, 04:0122,776-352
20 Oct 2026, 23:0423,128-314
20 Oct 2026, 00:3023,442-104
19 Oct 2026, 00:2623,546-173
17 Oct 2026, 21:4523,719-257
16 Oct 2026, 20:3123,976-90
15 Oct 2026, 23:5024,066-47
15 Oct 2026, 00:1124,113-193
13 Oct 2026, 20:0924,306-638
10 Oct 2026, 07:0024,944-653
6 Oct 2026, 01:5925,597-345
30 Sept 2026, 17:1625,942+1,013
18 Sept 2026, 04:1524,929+229
15 Sept 2026, 20:1524,700first reading

Engagement

56 posts held, back to 15 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 70 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.76%
avg views ÷ 22,031 subscribers
Avg views / post
2,150
38 posts measured
Reaction rate
1.62%
reactions ÷ views · ER floor
Posts in window
38
of 56 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 37 of 38 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 20 October 2026
Posts held56 (15 August 2026 – 20 October 2026)
Views total81,715
Reactions total1,294
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken21 Oct 2026, 07:55 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
7m 43s
Average length
11s

Measured directly from 43 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

1,542 reactions across 55 posts, in 6 distinct kinds. The most used accounts for 41.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤63641.2%
👍45529.5%
🔥44528.9%
👏30.195%
💘20.13%
🥰10.065%

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 55 of the 56 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 1,542 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 56 most recent posts we hold, published 15 August 2026 to 20 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

20 Oct 2026, 13:50 UTC≈1,440 views36 reactionsread 21 October 2026
Photo

艺名 #千纯 #武进区 | 💴 600 167CM | 45KG | 🐻C 私聊 👉 点击获取千纯联系方式 双向加密 > 点击联系千纯 🪧 标签:#6P #常州 #武进 #新人 #嫩妹 #嫩妹型 + 身材型 #鸳鸯浴 #调情 #无套口 #69 #丝袜诱惑 #制服诱惑 玩家映像: 👉消耗200积分为老师添加映像 工兵速评频道 @changzhoushow ------------------------- 📝 给老师写评价 🔍 查看老师所有评价 ------------------------- 常州出击娱乐资源聚合 教务处💃🏼 @czcarclubssr 嫩妹榜🍀 @changzhoujwc2 车友会 🚀 @czcarclub 优惠资讯💵 @czssjc1 ⚠️仅视频验证谨慎任何预付。

❤18🔥11👍7

20 Oct 2026, 04:17 UTC≈1,750 views34 reactionsread 21 October 2026
Photo

艺名 #椰奶 #武进区 | 💴 600 166CM | 52KG | 🐻B 私聊 👉 点击获取椰奶联系方式 双向加密 > 点击联系椰奶 🪧 标签:#武进 #新人 #舌到饱 + 嫩妹型 #武进嫩妹 #鸳鸯浴 #无套口 #舌吻 #69 #制服诱惑 玩家映像: 👉消耗200积分为老师添加映像 工兵速评频道 @changzhoushow ------------------------- 📝 给老师写评价 🔍 查看老师所有评价 ------------------------- 常州出击娱乐资源聚合 教务处💃🏼 @czcarclubssr 嫩妹榜🍀 @changzhoujwc2 车友会 🚀 @czcarclub 优惠资讯💵 @czssjc1 ⚠️仅视频验证谨慎任何预付。

🔥14👍11❤9

19 Oct 2026, 16:16 UTC≈1,960 views32 reactionsread 21 October 2026
Photo

艺名 #一苒 #武进区 | 💴 600 162CM | 44KG | 🐻B 私聊 👉 点击获取一苒联系方式 双向加密 > 点击联系一苒 🪧 标签:#6P #12P #武进 #新人 #嫩妹 #嫩妹型 + 身材型 #鸳鸯浴 #水中箫 #无套口 #舔奶头 #吸蛋蛋 #深喉 #胸推 #制服诱惑 玩家映像: 👉消耗200积分为老师添加映像 工兵速评频道 @changzhoushow ------------------------- 📝 给老师写评价 🔍 查看老师所有评价 ------------------------- 常州出击娱乐资源聚合 教务处💃🏼 @czcarclubssr 嫩妹榜🍀 @changzhoujwc2 车友会 🚀 @czcarclub 优惠资讯💵 @czssjc1 ⚠️仅视频验证谨慎任何预付。

❤12👍11🔥9

19 Oct 2026, 16:13 UTC≈1,890 views39 reactionsread 21 October 2026
Photo

艺名 #李西黛 #新北区 | 💴 600 165CM | 54KG | 🐻C 私聊 👉 点击获取李西黛联系方式 双向加密 > 点击联系李西黛 🪧 标签:#常州 #新北 #新人 #嫩妹 #嫩妹型 + 身材型 #无套口 玩家映像: 👉消耗200积分为老师添加映像 工兵速评频道 @changzhoushow ------------------------- 📝 给老师写评价 🔍 查看老师所有评价 ------------------------- 常州出击娱乐资源聚合 教务处💃🏼 @czcarclubssr 嫩妹榜🍀 @changzhoujwc2 车友会 🚀 @czcarclub 优惠资讯💵 @czssjc1 ⚠️仅视频验证谨慎任何预付。

👍16🔥12❤11

19 Oct 2026, 07:17 UTC≈1,250 views27 reactionsread 19 October 2026
Photo

艺名 #小草 #武进区 | 💴 600 166CM | 46KG | 🐻C 私聊 👉 点击获取小草联系方式 双向加密 > 点击联系小草 🪧 标签:#常州 #武进 #新人 #嫩妹型 + 身材型 #高颜值 #鸳鸯浴 #无套口 #69 #指划 #吸蛋蛋 #胸推 #情趣诱惑 #制服诱惑 玩家映像: 👉消耗200积分为老师添加映像 工兵速评频道 @changzhoushow ------------------------- 📝 给老师写评价 🔍 查看老师所有评价 ------------------------- 常州出击娱乐资源聚合 教务处💃🏼 @czcarclubssr 嫩妹榜🍀 @changzhoujwc2 车友会 🚀 @czcarclub 优惠资讯💵 @czssjc1 ⚠️仅视频验证谨慎任何预付。

❤12👍8🔥7

17 Oct 2026, 08:53 UTC≈2,180 views30 reactionsread 19 October 2026
Photo

艺名 #千初 #武进区 | 💴 600 165CM | 50KG | 🐻B 私聊 👉 点击获取千初联系方式 双向加密 > 点击联系千初 🪧 标签:#6P #舌到饱 + 嫩妹型 #鸳鸯浴 #无套口 #舌吻 #69 #漫游 #胸推 #丝袜诱惑 #制服诱惑 玩家映像: 👉消耗200积分为老师添加映像 工兵速评频道 @changzhoushow ------------------------- 📝 给老师写评价 🔍 查看老师所有评价 ------------------------- 常州出击娱乐资源聚合 教务处💃🏼 @czcarclubssr 嫩妹榜🍀 @changzhoujwc2 车友会 🚀 @czcarclub 优惠资讯💵 @czssjc1 ⚠️仅视频验证谨慎任何预付。

❤17👍7🔥6

17 Oct 2026, 05:02 UTC≈2,240 views34 reactionsread 19 October 2026
Photo

艺名 #艺涵 #天宁区 | 💴 600 160CM | 57KG | 🐻B 私聊 👉 点击获取艺涵联系方式 双向加密 > 点击联系艺涵 🪧 标签:#常州 #天宁 #新人 #舌到饱 + 嫩妹型 #武进嫩妹 #鸳鸯浴 #调情 #无套口 #舌吻 #69 #胸推 #高跟鞋诱惑 #丝袜诱惑 #制服诱惑 玩家映像: 👉消耗200积分为老师添加映像 工兵速评频道 @changzhoushow ------------------------- 📝 给老师写评价 🔍 查看老师所有评价 ------------------------- 常州出击娱乐资源聚合 教务处💃🏼 @czcarclubssr 嫩妹榜🍀 @changzhoujwc2 车友会 🚀 @czcarclub 优惠资讯💵 @czssjc1 ⚠️仅视频验证谨慎任何预付。

❤15🔥12👍7

16 Oct 2026, 11:20 UTC≈2,520 views29 reactionsread 19 October 2026
Photo

艺名 #姜柠 #武进区 | 💴 700 162CM | 42KG | 🐻C 私聊 👉 点击获取姜柠联系方式 双向加密 > 点击联系姜柠 🪧 标签:#武进 #新人 #嫩妹型 + 身材型 #鸳鸯浴 #69 #指划 #过水吸皮 #口爆 #胸推 玩家映像: 👉消耗200积分为老师添加映像 工兵速评频道 @changzhoushow ------------------------- 📝 给老师写评价 🔍 查看老师所有评价 ------------------------- 常州出击娱乐资源聚合 教务处💃🏼 @czcarclubssr 嫩妹榜🍀 @changzhoujwc2 车友会 🚀 @czcarclub 优惠资讯💵 @czssjc1 ⚠️仅视频验证谨慎任何预付。

👍11❤9🔥9

16 Oct 2026, 09:19 UTC≈2,450 views35 reactionsread 19 October 2026
Video

艺名 #兔牙妹 #武进区 | 💴 700 167CM | 47KG | 🐻C 私聊 👉 点击获取兔牙妹联系方式 双向加密 > 点击联系兔牙妹 🪧 标签:#常州 #武进 #御姐 #主动型 + 身材型 #鸳鸯浴 #调情 #无套口 #胸推 #高跟鞋诱惑 #情趣诱惑 #丝袜诱惑 #制服诱惑 玩家映像: 👉消耗200积分为老师添加映像 工兵速评频道 @changzhoushow ------------------------- 📝 给老师写评价 🔍 查看老师所有评价 ------------------------- 常州出击娱乐资源聚合 教务处💃🏼 @czcarclubssr 嫩妹榜🍀 @changzhoujwc2 车友会 🚀 @czcarclub 优惠资讯💵 @czssjc1 ⚠️仅视频验证谨慎任何预付。

❤17👍10🔥8

16 Oct 2026, 07:37 UTC≈1,120 views34 reactionsread 16 October 2026
Photo

艺名 #瑶瑶 #武进区 | 💴 600 160CM | 51KG | 🐻B 私聊 👉 点击获取瑶瑶联系方式 双向加密 > 点击联系瑶瑶 🪧 标签:#6P #常州 #武进 #新人 #嫩妹 #武进嫩妹 #无套口 #舌吻 #69 #丝袜诱惑 #制服诱惑 玩家映像: 👉消耗200积分为老师添加映像 工兵速评频道 @changzhoushow ------------------------- 📝 给老师写评价 🔍 查看老师所有评价 ------------------------- 常州出击娱乐资源聚合 教务处💃🏼 @czcarclubssr 嫩妹榜🍀 @changzhoujwc2 车友会 🚀 @czcarclub 优惠资讯💵 @czssjc1 ⚠️仅视频验证谨慎任何预付。

🔥13👍11❤10

16 Oct 2026, 04:15 UTC≈1,380 views31 reactionsread 16 October 2026
Photo

艺名 #柳如烟 #武进区 | 💴 600 160CM | 48KG | 🐻D 私聊 👉 点击获取柳如烟联系方式 双向加密 > 点击联系柳如烟 🪧 标签:#6P #武进 #新人 #嫩妹 #嫩妹型 + 身材型 #鸳鸯浴 #调情 #无套口 #舌吻 #69 #情趣诱惑 #丝袜诱惑 玩家映像: 👉消耗200积分为老师添加映像 工兵速评频道 @changzhoushow ------------------------- 📝 给老师写评价 🔍 查看老师所有评价 ------------------------- 常州出击娱乐资源聚合 教务处💃🏼 @czcarclubssr 嫩妹榜🍀 @changzhoujwc2 车友会 🚀 @czcarclub 优惠资讯💵 @czssjc1 ⚠️仅视频验证谨慎任何预付。

❤12🔥11👍8

15 Oct 2026, 12:45 UTC748 views40 reactionsread 15 October 2026
Photo

艺名 #蛋黄 #武进区 | 💴 800 168CM | 45KG | 🐻B 私聊 👉 点击获取蛋黄联系方式 双向加密 > 点击联系蛋黄 🪧 标签:#武进 #新人 #嫩妹型 #主动型 + 身材型 #武进嫩妹 #助浴 #鸳鸯浴 #调情 #无套口 #69 #高跟鞋诱惑 #丝袜诱惑 玩家映像: 👉消耗200积分为老师添加映像 工兵速评频道 @changzhoushow ------------------------- 📝 给老师写评价 🔍 查看老师所有评价 ------------------------- 常州出击娱乐资源聚合 教务处💃🏼 @czcarclubssr 嫩妹榜🍀 @changzhoujwc2 车友会 🚀 @czcarclub 优惠资讯💵 @czssjc1 ⚠️仅视频验证谨慎任何预付。

👍16❤12🔥12

Showing the 12 most recent of 56 posts we hold for @changzhoujwc2. 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

@changzhoujwc2 edited 2 posts 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
27 August 2026
Most recent edit
21 October 2026

Mentions

Named by 6 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 28 October 2026 — this entry's latest reading, not the date you are reading this.

“常州车友会嫩妹榜🍭” (@changzhoujwc2), 22,031 subscribers as measured 28 October 2026. Telegram Register, tgregister.com/channel/changzhoujwc2.

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.