Telegram RegisterThe public register of Telegram
Telegram profile photo for 云长®出击实录(成都重庆)

Channel

云长®出击实录(成都重庆)

@cddj88

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

57,111subscribers

+33,893 since we began measuring on 11 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002220928961
TypeChannel
Username@cddj88
CreatedBetween 1 June 2024 and 30 September 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live25 October 2026
Measurements held45
Confirmed unchanged1 time, most recently 25 October 2026
On Telegramt.me/cddj88

Topic

Other / unclassifiable — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 57% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Views per post sit far above this size band

27,200 average views per post against 56,927 subscribers — an engagement rate of 47.8%. Across the 1,310 registered channels in the same cohort — 31,626–99,545 subscribers, posting mainly in Chinese — the middle half sit between 0.984% and 5.71%, with a median of 2.42%.

What this was computed from
Window30 days (25 September 2026 – 25 October 2026)
Posts measured26 of 26 published in the window (0 exact, 26 rounded by Telegram)
Views totalled707,200
Mature posts only47.8% over 26 posts read at least 24h after publication
Subscribers56,927 measured 25 October 2026
Cohortb31623:zho · 1,310 channels · p10 0.252% · p25 0.984% · p50 2.42% · p75 5.71% · p90 11.1%
Position in cohort99.694th percentile · 19.7× the cohort median
Uncertainty±0.021% of the figure, from Telegram’s rounding
Post languageChinese · 100.0% of the window’s posts

When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.

This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.

Recorded under the key err_high, last confirmed 25 October 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

23,21857,11140,164.511 August 2026 — 23,218 subscribers11 August 2026 — 23,218 subscribers12 August 2026 — 24,236 subscribers13 August 2026 — 24,967 subscribers14 August 2026 — 25,975 subscribers16 August 2026 — 26,811 subscribers17 August 2026 — 27,694 subscribers18 August 2026 — 28,237 subscribers19 August 2026 — 28,576 subscribers20 August 2026 — 29,044 subscribers21 August 2026 — 29,510 subscribers22 August 2026 — 30,117 subscribers24 August 2026 — 30,922 subscribers25 August 2026 — 31,416 subscribers26 August 2026 — 31,813 subscribers27 August 2026 — 32,394 subscribers28 August 2026 — 32,746 subscribers29 August 2026 — 33,061 subscribers30 August 2026 — 33,424 subscribers31 August 2026 — 33,783 subscribers1 September 2026 — 34,287 subscribers2 September 2026 — 34,529 subscribers3 September 2026 — 34,872 subscribers4 September 2026 — 35,285 subscribers8 September 2026 — 36,361 subscribers11 September 2026 — 38,399 subscribers13 September 2026 — 39,093 subscribers14 September 2026 — 40,192 subscribers16 September 2026 — 40,942 subscribers18 September 2026 — 41,962 subscribers2 October 2026 — 50,421 subscribers7 October 2026 — 52,152 subscribers11 October 2026 — 53,540 subscribers14 October 2026 — 54,332 subscribers15 October 2026 — 54,528 subscribers16 October 2026 — 54,776 subscribers17 October 2026 — 55,142 subscribers18 October 2026 — 55,470 subscribers19 October 2026 — 55,682 subscribers20 October 2026 — 55,991 subscribers21 October 2026 — 56,226 subscribers22 October 2026 — 56,475 subscribers24 October 2026 — 56,727 subscribers25 October 2026 — 56,927 subscribers25 October 2026 — 57,111 subscribers11 August 202625 October 2026
45 measurements spanning 75 days, net +33,893. 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 18,134–62,195 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 45
Measured (UTC)SubscribersChange
25 Oct 2026, 22:3657,111+184
25 Oct 2026, 01:3856,927+200
24 Oct 2026, 03:0656,727+252
22 Oct 2026, 23:3656,475+249
21 Oct 2026, 18:4856,226+235
20 Oct 2026, 17:1055,991+309
19 Oct 2026, 13:2755,682+212
18 Oct 2026, 12:5955,470+328
17 Oct 2026, 10:0655,142+366
16 Oct 2026, 06:3454,776+248
15 Oct 2026, 03:1654,528+196
14 Oct 2026, 02:4754,332+792
11 Oct 2026, 12:5653,540+1,388
7 Oct 2026, 04:2152,152+1,731
2 Oct 2026, 08:5650,421+8,459
18 Sept 2026, 15:2141,962+1,020
16 Sept 2026, 04:3740,942+750
14 Sept 2026, 12:4040,192+1,099
13 Sept 2026, 00:4039,093+694
11 Sept 2026, 02:5638,399first reading

Engagement

73 posts held, back to 29 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 139 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
46.8%
avg views ÷ 57,111 subscribers
Avg views / post
26,700
27 posts measured
Reaction rate
0.227%
reactions ÷ views · ER floor
Posts in window
27
of 73 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 25 October 2026
Posts held73 (29 July 2026 – 25 October 2026)
Views total721,380
Reactions total1,638
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Oct 2026, 19:16 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 25s
Average length
17s

Measured directly from 26 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

4,075 reactions across 73 posts, in 16 distinct kinds. The most used accounts for 77.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3,14577.2%
👍2676.55%
🔥2014.93%
🥰1192.92%
👏1072.63%
💩791.94%
😁601.47%
🎉501.23%
😍100.245%
😱100.245%
🤩70.172%
🤪70.172%
🙏60.147%
😴40.098%
🥴20.049%
👎10.025%

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 73 of the 73 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 4,075 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 73 most recent posts we hold, published 29 July 2026 to 25 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.

Telegram Stars

Stars received
93
across the posts below
Posts paid on
39
of 73 we hold a reading for · 53%
Most on one post
12
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @cddj88. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 73 most recent posts we hold for this entry, published 29 July 2026 to 25 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

25 Oct 2026, 16:00 UTC≈3,280 views10 reactionsread 25 October 2026
Photo

【武圣✦关云长✦讨逆战报】 ————逆贼 ✦ 情报 ———— 【敌将✦姓名】: #重庆老师 【逆贼✦旗号】: #云长觉得老师不值,故不放车牌 【讨伐✦悬赏】: 500p 【会战✦地点】:#重庆 #南岸区 #南坪 【敌将✦形体】:身高165左右,体重95斤左右,胸b(八字奶),感觉肚子有缺点(不脱且连体),bb外褐内粉,正常肤色,御姐偏少 【敌将✦武艺】: 口,舔咪咪,爱爱 ———— 武圣 ✦ 总结 ———— 【单骑✦驱驰】:见面颜值还算妩媚,圆脸但五官耐看,一身护士装连体,无陪洗,爱爱也没脱掉(云长觉得肚子应该有纹),老师不想让客户观感差可以理解,无舌吻,在整个服务过程中,云长觉得有点口气,所以幸好无舌吻,在结束后,云长故意观察细节,老师无刷牙无漱口水,希望老师们也注意此细节,不然真的会残留口气,而且服务很敷衍,云长做了一半就放弃了,兄弟们,这期你们想看就看吧,老师房间灯光很暗,兄弟们,跟随云长“#第一人称”视角……

❤5🥴2😱2💩1

23 Oct 2026, 16:00 UTC≈15,700 views70 reactionsread 25 October 2026
Photo

【武圣✦关云长✦讨逆战报】 ————逆贼 ✦ 情报 ———— 【敌将✦姓名】: #娇娇 【逆贼✦旗号】: @jiaoer857 【讨伐✦悬赏】: 600p 【会战✦地点】:#重庆 #两江新区 #渝鲁大道 【敌将✦形体】:身高160左右,体重100斤左右,胸D,乳头乳晕粉偏褐,乳头乳晕一般大小bb外褐内粉,御姐偏少类型,人照五官相似,肚子有纹身,正常肤色偏白,大屁股炮架子 【敌将✦武艺】: 陪洗,水中萧,舌吻,口,舔咪咪,爱爱 ———— 武圣 ✦ 总结 ———— 【单骑✦驱驰】:#云长来到雾都就像发了情的公狗,果断预约出击,见面老师穿了一件围胸,事业线很深,五官有科技成分,眼睛妩媚,rua奶有一丢丢偏硬,咨询老师说是自然胸,但云长觉得有点科技,不是石头胸那种硬硬的,不影响手感,接着脱掉陪洗,开始…兄弟们,跟随着云长“#第一人称”视角欣赏 【军势✦评级】:千夫长(胸大,屁股大,正常肤色偏白,服务细致不敷衍) 将军(…

❤51🔥8😍6👍3🥰2

20 Oct 2026, 16:00 UTC≈26,200 views74 reactionsread 25 October 2026
Photo

【武圣✦关云长✦讨逆战报】 ————逆贼 ✦ 情报 ———— 【敌将✦姓名】: #花花 【逆贼✦旗号】: @yaunyuan123 【讨伐✦悬赏】: 500p 【会战✦地点】:#重庆 #两江新区 #渝鲁大道 【敌将✦形体】:身高165左右,体重100斤,自然胸C-,乳头乳晕浅粉浅褐,乳头小,bb一线天,外浅褐内粉,屁股大,正常肤色偏白,微胖嫩妹型,颜值耐看 【敌将✦武艺】: 陪洗,口,舔咪咪,舌吻,爱爱 ———— 武圣 ✦ 总结 ———— 【单骑✦驱驰】:继续雾都,转身了一个所谓的御姐(真老木木,肉眼可见的皱纹与岁月感),感觉成都已经很好了,云长觉得成都就像漂亮国的加州,cdc有些细节能让集体做检讨,云长小小地玩punchline,幸好有一群兄弟在维护成都tg环境(内心os:哈哈哈哈)吐槽二十多的老师是老木木,但不在tg的氛围就是重庆这边还有曾经成都流行的小卡片,咨询了一下3k俩次说质量很好,云长就不去探路了,果断…

❤65👍5😍4

19 Oct 2026, 10:30 UTC≈26,600 views73 reactionsread 25 October 2026
Photo

【武圣✦关云长✦讨逆战报】 ————逆贼 ✦ 情报 ———— 【敌将✦姓名】: #聚美半套 #75号 【逆贼✦旗号】: @chengduBT123 【讨伐✦悬赏】: 500口 【会战✦地点】:#成都 #双流区 #韩国城 【敌将✦形体】:身高165,体重90-95斤左右,科技胸C,乳头乳晕粉,乳晕偏大,正常肤色偏白,颜值良家感,御姐类型,与照片脸型轮廓相似,妆容不一致 【敌将✦武艺】: 帮洗,莞式服务,口b ———— 武圣 ✦ 总结 ———— 【单骑✦驱驰】:兄弟们,半套有好有坏,需说出类型,客服好推荐,开始探路,第一个年龄偏大换第二个,颜值很良家,反而工作服不适合她,开始服务帮洗,脱掉后肤色偏白,开始背面服务,都是半套类型的莞式服务,接着正面,这个老师很爱笑,舌头也灵活,结束后,穿上生活衣服,感觉更适合她,并且会在路上瞟一眼的那种,兄弟们,跟随着云长“#第一人称”视角欣赏,但视频只有口的,兄弟们,云长休息一下去雾都…

❤59👍8🔥5🥰1

18 Oct 2026, 09:01 UTC≈26,700 views79 reactionsread 25 October 2026
Photo

【武圣✦关云长✦讨逆战报】 ————逆贼 ✦ 情报 ———— 【敌将✦姓名】: #成都私影 #夏夏 【逆贼✦旗号】: @mitusy04 【讨伐✦悬赏】: 599/1h 【会战✦地点】:#成都 #武侯区 #红星国际 【敌将✦形体】:身高165左右,体重100斤左右,胸天然C+,乳头乳晕褐色一般大小 【敌将✦武艺】: 舌吻,调情,摸胸,舔咪咪,骑乘,滴蜡 ———— 武圣 ✦ 总结 ———— 【单骑✦驱驰】:很多兄弟们说想看mmk,那就继续来到合作商家,顺便休息一下“#基尔”,这次是红星这边,到店里,每个房间都带独卫,不用像其他地方还要走出房间去尿尿,房间挺宽敞,在店的六个妹妹走秀了一下,这个店的质量都还不错,推荐了一个主动点的妹妹,夏夏,颜值可以,身材可以,胸大,活泼主动,聊天不会冷场,自然C+胸手感很好,妹妹乳头很敏感,被吸的哼哼叫,后续也尝试了一下低温滴蜡烛,夏夏还说自己偏S,云长不信,感觉她好享受,好m,后续也…

❤65🤩7🤪7

18 Oct 2026, 09:00 UTC≈24,100 views19 reactionsread 25 October 2026
Video

📱成都-金牛♉️森悦汇🌟 (高颜值瑶浴92) ⏱上班时间:24小时 ☎️: 028-87512390 (客服未回拨打电话) ☕服务项目: 瑶浴:SPA:92: 🈚️车费 🈚️定金 🈚️套路👉满意消费 😰预约客服: @Syue_888 🔗查看评价: https://t.me/MTQ12100

❤16👍3

16 Oct 2026, 08:03 UTC≈28,900 views97 reactionsread 25 October 2026
Photo

【武圣✦关云长✦讨逆战报】 ————逆贼 ✦ 情报 ———— 【敌将✦姓名】: #雪莉 【逆贼✦旗号】: @cqlov9 【讨伐✦悬赏】: 900p 【会战✦地点】:#成都 #武侯区 #高新区 #天府一街 【敌将✦形体】:身高165,体重95斤左右,自然胸D+,乳头乳晕粉色,冷白皮,bb一线天浅褐内粉,屁股翘巨臀,网红颜值 【敌将✦武艺】: 陪洗,水中萧,调情,口,69,爱爱 ———— 武圣 ✦ 总结 ———— 【单骑✦驱驰】:雪莉老师久别重逢,二次回锅,很多兄弟们都私信我,还会去雪莉吗,这次我来了,脸瘦了,更加有轮廓,虽然脸有科技,这次妆容粉粉的,配上情趣套装,直接看硬,这次更加熟悉了,老师时不时地笑,还是一如既往的水多,口着口着水就汪汪的流出来,吃奶更是一种享受,粉粉嫩嫩,rua起来的手感超级好,口活一如既往的了得(弹舌,还舔蛋),后入屁股也是一种享受,差一点就是六边形战士,因为没有舌吻,兄弟们,跟随着云长“#…

❤77🔥10🥰8👍1👏1

16 Oct 2026, 08:00 UTC≈26,300 views13 reactionsread 25 October 2026
Video

📱成都-聚美优嫔精品95工作室 ⏱上班时间:12.00-00:30 💬(10点起预约) ☕服务项目: 👄B 鸳鸯浴 水中萧 制服 丝足 指滑鼻漫 水漫 口沙 高山流水 69 按摩 部分可 🐍吻 YS YT 🈚️车费 🈚️定金 🈚️套路👉满意消费 😰预约客服:@chengduBT123 🔗查看评价:成都-聚美优嫔(工作室)

❤13

15 Oct 2026, 10:00 UTC≈30,900 views73 reactionsread 25 October 2026
Photo

【武圣✦关云长✦讨逆战报】 ————逆贼 ✦ 情报 ———— 【敌将✦姓名】: #允皙 【逆贼✦旗号】: @linyunteo 【讨伐✦悬赏】: 800p(#报云长优惠100) 【会战✦地点】:#成都 #成华区 #驷马桥 #昭觉寺 【敌将✦形体】:身高160,体重85-90,胸部C+,乳晕偏大,乳头花生大小,乳头乳晕粉偏褐,蝴蝶bb,外褐内粉,背部有纹身,正常肤色偏暗 【敌将✦武艺】: 陪洗,水中萧,陪洗调情,69,舌吻,舔咪咪,爱爱 ———— 武圣 ✦ 总结 ———— 【单骑✦驱驰】:妩媚颜值,鼻子挺拔,异域风情的巴掌脸,肚子无赘肉,妖娆看着好骚,爱爱反馈大蟒蛇管够,兄弟们,跟随着云长“#第一人称”视角欣赏 【军势✦评级】:千夫长(异域风情的颜值,妩媚妖娆,胸大自然) 将军(极品)、都尉(少见的精品)、校尉(值得回锅)、千夫长(值得打卡)、百夫长(良品)、什长(及格) 【武圣✦批注】:乳晕偏大,但胸大无赘肉…

❤56👍11🔥6

14 Oct 2026, 19:34 UTC≈25,800 views22 reactionsread 23 October 2026
Photo

#方便各位兄弟们查看 #点击频道置顶【导航指引】 #指引兄弟们出击方向 点击 #蓝色字体查看作品:⬇️⬇️⬇️⬇️ 云长【合作商家】视频报告记录🔗 云长《出击录》 8月视频报告记录🔗 云长《出击录》9月视频报告记录🔗

❤10👏6🙏6

14 Oct 2026, 18:25 UTC≈23,600 views95 reactionsread 23 October 2026
Video

【武圣✦关云长✦讨逆战报】 ————逆贼 ✦ 情报 ———— 【敌将✦姓名】: #安心 【逆贼✦旗号】: @LuckyAnngg 【讨伐✦悬赏】: 800p 【会战✦地点】:#成都 #武侯区 #太平园 【敌将✦形体】:身高160左右,体重80-85斤,胸b(胸型好看),乳头乳晕褐色,一般大小,超级小的脸蛋,巴掌脸,五官精致,bb外褐内粉,正常肤色偏白 【敌将✦武艺】: 陪洗,陪洗过程调情,水中萧,口,舌吻,舔咪咪,爱爱 ———— 武圣 ✦ 总结 ———— 【单骑✦驱驰】:兄弟们,安心老师太难约了,功夫不负有心人 #1、非常有女友感,聊天很有亲和力,感觉不到刻意和做作 #2、舌头长,舌吻感觉很爽 #3、颜值高,巴掌脸 #4、拍摄过程想带伞了,老师还在调情和口(服务过程很耐心,她在享受) #5、皮肤白 #6、有一种傻傻的感觉让人有保护欲 #7、老师有很多动作,不方便拍摄,而不是希望快点出货草草了事 #8、结束后会身体…

❤75🔥9🥰9💩2

13 Oct 2026, 16:04 UTC≈24,100 views87 reactionsread 20 October 2026
Photo

【武圣✦关云长✦讨逆战报】 ————逆贼 ✦ 情报 ———— 【敌将✦姓名】: #健身九儿 【逆贼✦旗号】: @Jiuerjiuer777 【讨伐✦悬赏】: 700p 【会战✦地点】:#成都 #成华区 #万象城 【敌将✦形体】:身高170,体重100斤左右,胸A~A+,乳头乳晕粉偏褐,乳头一般大小,终极炮架子(健身几年的蜜桃臀),bb浅褐内粉,局部有纹身 【敌将✦武艺】:莞式服务,陪洗,口,舔咪咪,爱爱 ———— 武圣 ✦ 总结 ———— 【单骑✦驱驰】:体验了嫩妹再体验服务车的一天,老师很爱干净,清洗过程很仔细,并且教室很有氛围感,妆容妩媚,侧面屁股直接看石更,活生生的终极炮架子,屁股有肉且有型,侧面看臀部凹凸有致,背面服务很细心,老师的舌头很软,轻轻地滑过每一寸肌肤,毒🐲滋味也是感受到了老师舌的温度,背部后入视感极佳,兄弟们,跟随着云长“#第一人称”视角欣赏 【军势✦评级】:都尉(颜值耐看,妆容妩媚,服务齐全…

❤74👏7🔥6

Showing the 12 most recent of 73 posts we hold for @cddj88. 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

@cddj88 edited 9 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
24 August 2026
Most recent edit
15 October 2026

Forward network

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 9 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 25 October 2026 — this entry's latest reading, not the date you are reading this.

“云长®出击实录(成都重庆)” (@cddj88), 57,111 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/cddj88.

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.