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Channel

浦浦一刻

@cdcpupupupu

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

11,906subscribers

+9,273 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1003804931045
TypeChannel
Username@cdcpupupupu
Description这里是浦浦一刻 成都平价楼凤为主【5—7P价位】推荐/避雷 频道所有收录老师出击均为原价。 整体倾向: 重舌吻、情绪价值、服务态度、身体反馈 轻颜值、年龄
CreatedBetween 1 February 2026 and 20 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held45
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/cdcpupupupu

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 85% 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

2,63313,9138,2736 August 2026 — 2,633 subscribers7 August 2026 — 2,650 subscribers9 August 2026 — 2,991 subscribers12 August 2026 — 3,182 subscribers16 August 2026 — 3,366 subscribers19 August 2026 — 3,512 subscribers23 August 2026 — 3,641 subscribers26 August 2026 — 3,718 subscribers28 August 2026 — 5,829 subscribers31 August 2026 — 5,902 subscribers4 September 2026 — 5,978 subscribers9 September 2026 — 6,084 subscribers12 September 2026 — 6,348 subscribers16 September 2026 — 6,450 subscribers24 September 2026 — 7,907 subscribers4 October 2026 — 13,913 subscribers9 October 2026 — 13,150 subscribers13 October 2026 — 12,790 subscribers14 October 2026 — 12,644 subscribers15 October 2026 — 12,587 subscribers16 October 2026 — 12,532 subscribers17 October 2026 — 12,465 subscribers18 October 2026 — 12,415 subscribers19 October 2026 — 12,510 subscribers20 October 2026 — 12,988 subscribers22 October 2026 — 13,096 subscribers23 October 2026 — 12,581 subscribers24 October 2026 — 12,511 subscribers25 October 2026 — 12,429 subscribers26 October 2026 — 12,359 subscribers27 October 2026 — 12,313 subscribers28 October 2026 — 12,268 subscribers29 October 2026 — 12,206 subscribers30 October 2026 — 12,160 subscribers31 October 2026 — 12,109 subscribers1 November 2026 — 12,065 subscribers2 November 2026 — 12,044 subscribers3 November 2026 — 12,023 subscribers4 November 2026 — 12,005 subscribers5 November 2026 — 11,985 subscribers6 November 2026 — 11,937 subscribers7 November 2026 — 11,922 subscribers8 November 2026 — 11,903 subscribers9 November 2026 — 11,887 subscribers11 November 2026 — 11,906 subscribers11,9066 August 202611 November 2026
45 measurements spanning 97 days, net +9,273. 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 941–15,605 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 45
Measured (UTC)SubscribersChange
11 Nov 2026, 10:5511,906+19
9 Nov 2026, 18:0911,887-16
8 Nov 2026, 13:4611,903-19
7 Nov 2026, 06:5611,922-15
6 Nov 2026, 06:5011,937-48
5 Nov 2026, 08:4011,985-20
4 Nov 2026, 08:4512,005-18
3 Nov 2026, 11:1212,023-21
2 Nov 2026, 10:1912,044-21
1 Nov 2026, 13:3912,065-44
31 Oct 2026, 10:1712,109-51
30 Oct 2026, 10:4612,160-46
29 Oct 2026, 13:1012,206-62
28 Oct 2026, 10:3612,268-45
27 Oct 2026, 08:3812,313-46
26 Oct 2026, 08:1612,359-70
25 Oct 2026, 10:5412,429-82
24 Oct 2026, 08:2712,511-70
23 Oct 2026, 09:3612,581-515
22 Oct 2026, 09:3613,096first reading

Engagement

30 posts held, back to 20 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 23 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
36.7%
avg views ÷ 11,906 subscribers
Avg views / post
4,370
8 posts measured
Reaction rate
0.126%
reactions ÷ views · ER floor
Posts in window
8
of 30 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 13 November 2026
Posts held30 (20 July 2026 – 13 November 2026)
Views total34,974
Reactions total44
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 09:35 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
284
Videos
57
Links
19

Lifetime counters from Telegram’s own channel header, read 13 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
54s
Average length
8s

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

126 reactions across 24 posts, in 4 distinct kinds. The most used accounts for 93.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤11893.7%
👍53.97%
😁21.59%
🤬10.794%

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 25 of the 30 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 126 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 30 most recent posts we hold, published 20 July 2026 to 13 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: 1 of 8 posts held from the last 30 days (12.5%) 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).

13 Nov 2026, 01:39 UTC764 views4 reactionsread 13 November 2026
Photo

老师名:菲菲 用户名:@yyss12309 价格:6P10PP【原价出击】【小号出击,真实探车】 特点: 中坦 御姐 人照差很大 中颜 小蛇 C杯 肩部纹身 黄皮 油腻 总评【Brief】: 超级大照骗。 图片放的应该是长胖前的,现在大概比图上重三十斤至少,五官看得出底子不会差,但已经被脂肪拉匀撑大的情况下,就跟好看不搭边了,只能属于勉强能看的程度。频道放的所有图美颜滤镜都是拉到满中满的级别,毫无参考度。 浑身上下身材唯一的亮点可能就是比较雄伟的胸部。腹部有很严重的泳圈,看着比较败兴致,房间促狭脏乱,灯光昏暗,进门她直接坐在床上,甚至懒得起来迎客。 但是由于是一位群友推荐,还是硬着头皮交了水费,开始了流程。随着时间的推移,问题开始愈发严重: 首先是接吻有明显躲闪,好不容易凑到对嘴,也只是生硬的伸出舌尖,闭紧牙关。 口交的环节比较敷衍,几乎没有感受到什么快感。 最难以接受的是正戏,女上用整个体重往下砸,弄得人…

❤2👍2

6 Nov 2026, 00:45 UTC≈3,380 views5 reactionsread 13 November 2026
Photo

老师名:润姬 用户名:@runjij 价格:8P13PP【原价出击】【小号出击,真实探车】 特点:中颜偏高 嫩妹 大只马 166cm 梨形身材 C杯 小蛇 态度尚可 口技不错 无纹身 人照差距小 课表内容出入大 有陪浴 总评: 进门前,你做了不少错误预判。 课表写着御姐,身高写着160,按这个信息推测,你以为会是一个28-29岁、身材偏纤细的成熟姐姐。结果门一打开,发现课表在年龄和体格上都进行了“艺术加工”,只不过,都是反向的。 润姬实际看起来只22岁左右,妥妥的年轻嫩妹。裸足大概166cm,穿上脚上那双8cm红底侧透高跟后,身形更是来到颇有压迫感的174cm。骨架也是大只马路线,整体曲线算梨形,臀腿肉量很足。 第一个惊喜:比预期年轻。 第二个惊喜:比预期大只。 本来是来找御姐的,最后遇到了一位最爱类型的大马嫩妹。人生就是这样,你永远不知道下一秒发生的是惊吓还是惊喜。 润姬的五官,胜在精致。典型的头包脸,小…

❤5

3 Nov 2026, 14:46 UTC≈3,240 views1 reactionsread 13 November 2026
Video

💎红楼阁——高端会所💎 🌟主营-95半套-98全套-98海选 ❤️高端全套大海选 一排一排的选 氛围感拉满 选满意在玩【质量相当于有外围中圈和中大圈】 ✅自家高端95半套店 不冲卡 单次消费 没有隐形消费 高质量 服务有保障 每天在线30➕选满意在消费 有免费小吃 泡澡 凌晨后可留宿 ❤️全城也可以给你安排 高端95半套-98全套 会所宗旨:诚信经营服务至上、让你乘兴而来满意而归 狼友评价:@BBmOGY9 加入频道:@BmOGY9 加入群组:@MBmOGY9 电报预约: @aofeng567 双向机器人: @CDHongloug_bot

❤1

28 Oct 2026, 10:36 UTC≈5,550 views10 reactionsread 13 November 2026
Photo

老师名:甜酱【成都】 用户名:@TaN5685 价格:7P12PP【原价出击】【小号出击,真实探车】 特点:嫩妹 中颜偏低 A杯 大蟒蛇 人照差比较大 黄皮 儿童身材 口技很棒 比较油 总评【Brief】: GTMD卸妆水! 这个妹妹是群里一位京爷热情推荐的,说到成都来玩了一趟,留下最深刻印象的就有甜酱,他觉得是“少萝赛道天花板”级别,于是我兴冲冲的约了课。 先说两个优点。 首先口技蛮惊艳的,口腔肌肉控制得很好,能给出明显的挤压感。并且不排斥一定强度的深喉。另外就是全程都可以大蟒蛇,接吻很自然。 甜酱身材的确很少萝路线。但个子小是小,少萝不却是把身高调低就自动完成了,比例还是要讲一点基本法的。她的胸很平,屁股也没什么存在感,腿也短,大腿上还有一点多余赘肉,在不高的体脂率下,却没有什么自然顺滑的曲线,整体观感比较糟糕,肉体上几乎不能让男人获得什么强烈的性冲动。 人照落差也有点大。 兔牙比较明显,五官本身不算特…

❤9🤬1

25 Oct 2026, 16:29 UTC≈5,140 views1 reactionsread 13 November 2026
Photo

成都狗哥外围 🥳全网资源最全: 频道只更新部分精选,全成都的外围资源我都有 🥳资源质量最高: 只做精选,质量严选,频道里面的每个妹子都经过验证,有大量反馈,妹子靠谱才选进来,拒绝AI,拒绝假照 🥳优惠活动最多 全成都优惠活动最多的外围,安排给予反馈返现100,满5次第六次八折,满10次,第十一次免费,内部群每周抽奖5-9折扣券,100-888现金红包,免单券 选成都外围,就找成都狗哥,给您带来最好最优惠的外围体验 外围频道: @gougedh_bot 反馈频道: t.me/chengduwaiweibaogao

❤1

25 Oct 2026, 07:44 UTC≈5,260 views2 reactionsread 13 November 2026
Photo

老师名:兰兰【成都】 用户名:@lanlan_12 价格:7P12PP【原价出击】【小号出击,真实探车】 特点:嫩妹 中颜 B杯 小蛇 人照差比较大 黄黑皮 牙齿不齐 排骨 口技差 腿型不错 总评【Brief】: 兰兰看上去20岁左右,皮肤偏黄带点黑,肤色健康却略显暗沉。身材纤细单薄,腿又细又长。胸部无功无过。下半身的玩头会比上半身多,但多的有限。 人照最多给到七分,强大的滤镜把脸上一些瑕疵遮挡的干干净净。具体差距在于五官的精致度掉了不止一个档位。特地找了一张最接近的,但各位注意,就算是这张,和真人的差异也是比较明显的。牙齿有明显硬伤,笑时整个门牙区域会严重往前凸起,且不整齐。总体颜值大概是你读书时班上中游的小透明女同学水准,看毕业照你完全想不起名字的那些。 性格比较加分,讲话有分寸,有回应,娇滴滴的往里面收着,还异常的有礼貌,让人蛮舒服。 口的环节只能轻轻的吞吐龟头,照顾不到棒身,内口腔感受不到任何力度去刺激…

❤2

21 Oct 2026, 09:21 UTC≈6,080 views14 reactionsread 13 November 2026
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老师名:奶芙【成都】 用户名:@Tutu99520 价格:6P9PP【原价出击】【小号出击,真实探车】 特点:御姐 中颜 人照七分 B杯 大蟒蛇 黄皮 腿部纹身 敏感易高潮 水娃 汗娃 做爱极其投入 总评: 她叫奶芙。 跟她做的时候,人会一下子掉进水里。 像夏天正午的池塘,太阳把整池水晒得发烫,你缓慢沉下去,耳朵里只剩自己的心跳,越跳越慢,慢到像快要停了。 那是濒死感。 你咬着牙,牙关咯咯响,像要把自己的舌头咬断,可身体却又软得不像话,软得像要化进她的汗里。 奶芙出汗极多。不是细细的一层,是大颗大颗往下滚,顺着锁骨沟、乳沟、小腹的软肉,一路流到交合的地方。那里早就成了一片泽国。她下面的水不断的涌,泛滥。 每一次你往里顶,就听见“咕啾”一声,像踩进了刚翻过的烂泥田,泥浆四溅,把两个人的耻毛都粘成一缕一缕。她自己也听见了,脸更红,眼睛更湿,哭腔从喉咙底往外冒:“……好、好舒服……” 那哭腔不是痛,是发情的母…

❤14

20 Oct 2026, 09:50 UTC≈5,560 views7 reactionsread 13 November 2026
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老师名:新妮妮【成都】 用户名:@cdcoco1234 价格:6P10PP【原价出击】 特点:嫩妹 中颜 C杯 微胖 大蟒蛇 黄皮偏白 无纹身 总评: 进门第一印象,甜甜的夹子。 讲话是明显的夹子音,标准普通话,尾音软软的还带点上扬,听起来很受用。 礼貌程度也在线,会主动询问需不需要陪浴,基本的待客分寸没有问题。 照片里的眼睛有明显美颜放大效果,真人原生眼型偏窄,眼距也稍微近了一点。鼻头偏肉,鼻梁不算高,面中整体比较扁平,没有特别强的立体度。 嘴唇偏薄,唇形普通。真实下颌线比照片里更宽,脸部软组织也比较多,会容易显圆。五官单独拆开看都没有太大的问题,但组合到真人脸上之后,融合度不算自然,会有一点轻微的“假感”。 尤其是粉底色号,和身体肤色差异比较明显。脸上偏白,身上则是黄皮偏白,灯光下还是能看得出来。 总体颜值比较不出彩,普通路人水准。 身材反而比脸更有记忆点。整体是微胖路线,丰腴肉量主要集中在臀腿。大腿…

❤7

14 Oct 2026, 10:54 UTC≈6,430 views15 reactionsread 5 November 2026
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老师名:智妍【成都】 用户名:@zhiybb8 价格:10P16PP【原价出击】【小号出击,真实探车】 特点:少御 高颜 人照相似度高 黄白皮 小蛇 a杯 人工白虎 敏感体质 不易高潮 无纹身 情绪价值一般 总评: “橱窗里的草莓蛋糕” 推门第一眼,印象相当好。 智妍属于清浅挂的甜系长相,面中软组织丰盈,自带软糯的少女感。短下巴搭配圆钝鼻头,再加上一双圆圆的杏眼,正是现在很受欢迎的幼态少女美学模板。骨骼线条偏柔和平缓,眉骨和下颌都没有锐利的起伏,整张脸温润没有攻击性。但少了骨骼的立体支撑感,这份好看很大程度依赖面部皮肉饱满的状态,准确的说,属于典型幼态皮相脸。 落地窗全身照那张基本就是本人,还原度算很高。有画精致全妆,粉底色号和身上皮肤差距比较大,脸上是冷白,身上偏黄白。一对A杯,奶头双凹陷。下半身比上半身的存在感明显,屁股在同档位算丰满,算个小亮点。 进门以后,智妍的疏离感比较明显。没有特别主动的肢体靠近,也…

❤12👍3

13 Oct 2026, 10:56 UTC≈8,130 views13 reactionsread 3 November 2026
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老师名:花花【成都】 用户名:@ChengduHuaHua520 此号已被盗 新号 @ChengDu_HuaHua 价格:7P13PP【原价出击】【小号出击,真实探车】 特点:嫩妹 中颜 黄白皮 大蟒蛇 B杯 异常敏感 易高潮 无纹身 学生气息 兼职车 服务态度好 小M体质 总评: 原石般的妹妹。 进门一句脆生生的“哥哥好”,那种刚见面时略带拘谨,又努力让你放松下来的感觉,一下子就出来了。接下来的破冰,居然是她主动挑起话题,有说有笑,没过多久便把陌生人的距离感抹掉。对于一个嫩妹车来说,这种自然的亲近感并不常见。 花花非常有礼貌。会主动询问需不需要陪洗,也会说明自己每位客人前后都会洗澡。你说不抽烟,她马上表示那自己也不在你面前抽。都是些很小的事情,但小事最能看出一个人的分寸感。 至少在待客这件事上,花花没有把自己当成一个只负责完成流程的人。 长相属于邻家系,不是那种推门瞬间让人失神的高颜值。五官整体偏柔和,鼻梁走…

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6 Aug 2026, 08:05 UTC≈1,750 views7 reactionsread 7 August 2026
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老师名:猫猫【成都】 用户名:@mao630 价格:4p【活动价】【本次出击为原价】 特点:嫩妹 BBW 重坦 白皮 无纹身 日感在线 水量足 后半段明催 小蛇 零情绪价值 总评: 爱与痛的边缘。 目测一百六十斤以上,一米七的个头。妥妥的重型坦克。这个身高配上这个体重,开门那一霎那,往你面前一站,视线基本被填满,震撼性十足。然后你会听到一句怯生生的”你好“,反差感有了。 颜值就是频道照片上的那副五官,单看每个零部件都不差,但被一张大脸均匀拉伸之后,精致感就被稀释得干干净净,她其实真正属于小红书上每天都在被鼓励的那个群体:“姐妹,你瘦下来一定很好看“ 皮肤白嫩,是那种让人想伸手的白,毛孔也很细,是真正的好皮肤,也没纹身,干干净净。 身形没什么好委婉的:白花花一座小肉山。站着的时候肉叠肉,躺下以后肉摊肉。如果你是BBW这个赛道的受众,这一幕其实算最大的福利。丰腴肥美,不是瑕疵,而是主菜。圆肩、圆腰、圆胯,没有棱角,没…

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5 Aug 2026, 00:15 UTC≈3,450 views7 reactionsread 7 August 2026
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老师名:王宝宝【成都】 用户名:@WangbBaobei 价格:6P10PP【本次出击为原价】 特点:少御 中颜偏高 C杯 美乳 黄白皮 大蟒蛇 无纹身 重庆口音 后入一般 口技平庸 医美脸 总评: 一张让你想谈恋爱的脸,一对让你等不及谈恋爱的胸。 频道里的她,被拍老了至少十岁。不知道图片是谁选的,又或是她对"好看"这件事有某种误解,展示面里的王宝宝,是那种三十好几、妆容厚重、眼神里写着"老娘什么都见过"的标准少妇感。色调暗沉,风格保守,整体气质像某个离异但保养得当的财务主管。这是完完全全的负面作用,也筛选掉了很多本该属于她的客户。 所以这篇报告的第一条结论不是关于她的脸蛋肉体及一切,而是。她的展示面是反向滤镜,真人会比照片好。请记住这件事,然后往下读。 当真人站在你面前,你会发现完全是两码事。展示面里的"熟女感"在你眼前几乎找不到任何对应物,就像去饭馆点了一碗老火汤,端上来的却是一杯棒打鲜橙。 目测只有二十三…

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Showing the 12 most recent of 30 posts we hold for @cdcpupupupu. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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 10 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“浦浦一刻” (@cdcpupupupu), 11,906 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/cdcpupupupu.

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.