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Channel

泡泡色色日记❤️

@paopao7699

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

1,761subscribers

+65 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002707151111
TypeChannel
Username@paopao7699
CreatedBetween 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live15 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/paopao7699

Growth

1,6961,7611,728.58 August 2026 — 1,696 subscribers9 August 2026 — 1,702 subscribers12 August 2026 — 1,734 subscribers15 August 2026 — 1,761 subscribers8 August 202615 August 2026
4 measurements spanning 7 days, net +65. 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 1,686–1,771 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 13:541,761+27
12 Aug 2026, 07:251,734+32
9 Aug 2026, 14:131,702+6
8 Aug 2026, 23:001,696first reading

Engagement

19 posts held, back to 1 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
29.2%
avg views ÷ 1,761 subscribers
Avg views / post
515
9 posts measured
Reaction rate
0.369%
reactions ÷ views · ER floor
Posts in window
10
of 19 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 6 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 8 August 2026
Posts held19 (1 June 20268 August 2026)
Views total4,631
Reactions total11
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 23:00 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
24s
Average length
12s

Measured directly from 2 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

48 reactions across 14 posts, in 2 distinct kinds. The most used accounts for 95.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4695.8%
👍24.17%

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 14 of the 19 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 48reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 1 June 2026 to 8 August 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

8 Aug 2026, 14:52 UTC130 views2 reactionsread 8 August 2026
Forwarded from @sizhishiziPhoto

29、泡泡 联系方式: @paopao769 位置:天河猎德 课费:1288p/2000pp 时间:8.8 颜值身材:⭐⭐⭐⭐⭐⭐ 人照9成,颜值高,妆造很精致,鼻影眼线啥的都化得很好,恰到好处,可御可萝。身高165,体重100左右,皮肤光滑偏白,年龄24左右,胸D。身材棒,真漫画身材,美臀大屁股,又大又圆,啊啊啊啊我要死在这大屁股下。 课室环境:离地铁站挺近,有门禁,跟别人进去是不行的,会被保安拦住,要泡泡叫人带进去才行。课室和浴室都挺大的,浴室还有个浴缸。课室有点乱,可能广州短开,来不及收拾太多。 体验细节: 开门看到一个漫画身材的漂亮妹妹,我也正因为泡泡的大屁股才满心期待。说时迟那时快,我的双手便情不自禁的往泡泡的屁股摸了上去,想去验验真假。天神保佑,这大屁股正是我梦寐以求的,结实有肉且饱满,完全就是二次元照进了现实,简直是量身打造,我狠狠捏了几把。 泡泡虽然是小蟒🐍,但🐍得甜甜的。口活

2

7 Aug 2026, 16:26 UTC325 views2 reactionsread 8 August 2026

【御猫报告】https://t.me/yemaoSheying 【老师艺名】 #卡戴珊泡泡 【联系方式】 @paopao769 【所在位置】 广州天河 【验证留名】 G 【验证时间】8月 【修车费用】 3388 【颜值身材】顶中顶 人照9 超绝冷白皮 卡戴珊同款翘臀 9.6分 【服务内容】360°吹 全自动榨汁姬 女友感天花板 9.8分 【服务态度】百变性格 抽象但有趣 9.8分 【优点缺点】优点:1.超绝女友感,情绪价值拉满 2.巨乳翘臀肉感十足 缺点:太火了难约 【推荐程度】必冲~ 【体验细节】性爱评价:天花板级别口技,360°无齿感吹加深喉,水多且润,每次抽插都能感受到肉穴收缩扩张,十分敏感,攻击到爽点会紧缩,配合极品大屁股的臀浪视觉冲击,爽感拉满。 有趣灵魂:进门清洁过后,直接进入御姐战斗形态,上演强制爱~推到在沙发上施展无敌口技,深浅结合深情对视(可参考彩月七绪,山手梨爱),小G差点缴械,带

2

7 Aug 2026, 13:20 UTC229 views1 reactionsread 8 August 2026
Forwarded from @shuaishuai1112Video

上课时间: 26.07.18 老师花名: #卡戴珊泡泡 老师电报号: @paopao769 上课花费: 1300 上课过程:非常难排到,排了两次才排到还等了两天,委屈了我的小小帅两天,但是一见到泡泡就原谅她了,一进门她戴个兔耳朵走来走去的很搞笑,我看她化的精致妆容有点害羞绅士了一会,她马上问我怎么不摸她,我一听也不装了开始上下其手了,我个人觉得有特色的是她的脸型,是瓜子脸,脸很小很有女人味,身材又特别顶,前凸后翘的,氛围灯是紫色的还挺有氛围感,还有就是她口的技术非常顶,基本上每一下都是深喉,没齿感,口的技术感觉可以说是顶尖梯队了,身材就跟频道说的一样确实屁屁超大,胸也大,身段非常柔软,怪不得那么多人推荐,后入一分钟直接射了,也是打破纪录了,很抽象的一个妹妹,我在那冲洗她在那给我把灯关了,很有情绪价值,瑟瑟完之后还给我分享出击经验,是个好女人,会再反 综合打分💯:9.7分(必返购物车中)

1

7 Aug 2026, 00:53 UTC324 views2 reactionsread 8 August 2026
Photo

#天河 #南山 #泡泡 @paopao769 颜值身材:9.8 第一次来找卡戴珊泡泡,不负期待。人照一致,一点点美颜。真人比频道照片脸稍显有棱角一些,果真御萝双修。人如其名,巨臀🍓晃得人离不开眼,手感也超棒,肉感十足。前凸后翘,白白软软的大C Cup,手感超赞❤️。棒棒棒❤️❤️❤️ 服务-态度:9.2 -9.6 进门先感受一下巨乳翘臀,配上黑丝,斯哈斯哈~ 脱衣一起去洗白白,又给我看愣了,奶白的雪子~ 直流口水🙏 躺床搂入怀里抱抱亲亲舌吻摸摸,巨臀手感太棒辣!乳晕不大,粉嫩粉嫩滴,很好👅。然后交给泡泡发挥那360环绕口技,先舔胸一路向下。我勒个360啊,就是一顿猛嗦,技术顶呱呱,实力直接排进前五,保五争三😈 性体验:9.8 戴套上阵,直接就是在床尾后入,我勒个大屁股,超duangduangduang,紧致,撞击感拉满。抬起泡泡上半身,一顿冲刺突突突🔞 反馈也很棒,自然不做作。顺势趴到床上,后入大屁股🍓 简直太让人上头。感觉快要

2

6 Aug 2026, 04:44 UTC396 viewsread 8 August 2026
Forwarded from @yangchengRep

羊城晚报报告模板 【出击报告】(https://t.me/yangchengEveningnew ) 【位置坐标】 #广州 #(xx区) 【优势】高颜值绝美翘臀身材棒 【劣势】课太满 【妹子花名】:#卡戴珊泡泡 【联系方式】:@paopao769 【妹子年龄】:20左右 【验证留名】:杜仲 【验证时间】:8.5 【修车水费】:pp 【颜值】:15 颜值评分:15 分(满分15分) 人照一致,比视频呆萌 【身材】:15 身材评分:15 分(满分15分) 真胸D杯,绝美翘臀,软糯香甜 【服务态度】:15 服务评分:15 分( 满分15分) 服务到位,态度超好 【情绪价值】:爱答不理/正常交流/沟通愉快 情绪评分: 15分 (满分15分) 性格有趣,沟通愉快 【时间管理】:课位/课时安排是否合理 时间评分: 10分 (满分10分) 课时安排合理 【同价位合理性】:不符合价位/符合价位/超出价位 价位评分:

5 Aug 2026, 16:48 UTC554 viewsread 8 August 2026

出击报告: {https://t.me/gzpbreport } 验证留名:Meghan Ane 出击日期:2026.8.5 老师昵称:#卡戴珊泡泡 地市坐标:#广州 上课花费:抽奖白嫖卷+补差价 pp 出击体验:第一次深圳原价cj过泡泡看到有泡泡的白嫖, 果断!出手!没想到真的运气爆棚 白嫖极品尤物是什么感觉?听我细细道来,面对万人口碑花魁级别尤物,一发当然不过瘾,果断升级pp套餐,深圳火速前往泡泡老师穿着10号球衣为我接风,胸前那两颗球球晃得我失神,让人忍不住过去抓住,又大又柔软的触感袭来,直接当场把玩了起来,然后忍不住撅起她的大屁股开始进入正题(知道各位水群大哥对我中奖很不满意,但是没关系,这一刻,我将用我的鸡鸡回应各位的不满),泡泡老师好像也来感觉了,小手一牵到床上边吻边干,我的每一次撞击,她的每一次呻吟,都像是在向世界公示:此时此刻,我们独属于彼此。中场休息,泡泡老师是个非常爱美爱自己的女孩,开始补起了妆,让我先到一

4 Aug 2026, 23:51 UTC696 viewsread 8 August 2026

泡泡㊙️色色频道👀(制服和😤课表): https://t.me/paopao888pao 👅 日常更新朋友圈频道❤️! t.me/paopao201819 主频道 https://t.me/+b2GlUwFJ6G8yY2Q1

4 Aug 2026, 18:58 UTC477 views1 reactionsread 8 August 2026
Photo

😀 #天河 #泡泡 【广州学院】: @gzwww @gzbbb 【出击日期】:8月4日 【学生留名】:#吃梨的企鹅鸭 【体验细节】:📰 📰 想和泡泡见一面的想法已经超过一年了,自从6月20预告有到广州的想法后,多次一键三连约约约。终于有机会成为泡泡在广州第一个男人。 终于到了泡泡开课的日子,按照指引来到她在广州的第一个居所,由于双方都是第一次,耗费了一些额外的时间才终于见上面。 精致的脸蛋,飘逸的长发,酷酷的帽子,大大的T恤,还有一丝略带慌张的情愫,这就是对泡泡的第一印象。坐下后向我道歉的样子也是可可爱爱,顺着话题闲聊两句,也不浪费时间,由于前期有过交流,泡泡换上后妈裙,配上绝美的梨形身材,太有那个味了,韩漫日漫成现实,直接硬气起来。 把玩了巨臀,感受了泡泡绝技超级无敌旋转生猴,延续了一贯的一二三……细节不表 现场就想约后续的课程,可惜几个心仪时间段都已无,只能继续等鸽子位了。希望泡泡常来广州驻点 【总结概括】:📰 📰 人照一致

👍1

2 Aug 2026, 14:03 UTC≈1,500 views3 reactionsread 8 August 2026

出击报告: {https://t.me/gzpbreport } 验证留名:神秘人 出击日期:7.31 老师昵称:#卡戴珊泡泡 地市坐标:深圳 上课花费:10000 出击体验:现在呢,是在回深圳的路上,坐在候车室里。打开备忘录后,思索了许久许久,在脑海里搜寻着那些华丽的词藻,想用它们来表达自己的心情,表达这趟与泡泡广州之行的感受。可是键盘上的字打了又删,删了又写,每一句都反复斟酌,却还是不知道从何写起,从何说起。关于这趟广州之行,我还一字未落,却已经在心里回味了许久。 还是和之前一样,我不会写🔞的文章。或许是文笔不好,又或许是不想写得那么俗,更不想把这段回忆最后变成一场简单的交易。因为泡泡呢,摸着良心说真的是一个很好很好、也非常努力的女孩子。对我来说,我更喜欢写一些和她相处的点点滴滴,就当作一篇日记来写吧! 时间真的过得很快,距离上次见泡泡已经快一个月了。直到现在,我还是觉得很幸运能够认识泡泡。不管是站在客人的角度,还是朋友的

3

13 Jul 2026, 16:45 UTC≈4,140 views5 reactionsread 8 August 2026

深圳嫩妹协会报告:https://t.me/szyjj 出击用户:韩韩 出击时间:7.8 出击水费:2200 pp 老师艺名:卡戴珊泡泡 联系方式:@paopao769 老师课室: 南山 颜值身材: 胸大(D胸)腰细妥妥的s身材,屁股真大棒会夹 安全评价:满分 服务详情:一个多月前就注意到泡泡了,一个月前约了听信了别人的评价,害得我真的后悔。这次看见泡泡开课了早早就约好了也刚好遇见我生日,过来的时候提前半个小时到了,泡泡说上一个客人还没走完在楼下逛了一下看见一个水果店刚进了货赶着新鲜就买了几盒然后在楼下泡泡就告诉我怎么上去,哈哈死退快跑加速上楼,泡泡留门开门进去,见到到泡泡,泡泡颜值真的漂亮心目中排第一,进门以后跟泡泡说给她带了水果,泡泡还给我点了奶茶真的很贴心,然后我跟泡泡说刚好今天生日,然后泡泡还偷偷的去点了蛋糕(被感动到😭),聊了一会天拉着泡泡去洗澡,嘿嘿泡泡还穿着黑丝帮我洗澡,还用那对大灯蹭我后背真的舒服,螺旋深喉真的很

5

Showing the 12 most recent of 19 posts we hold for @paopao7699. 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.

Citation-graph rank

Citation-graph rank — 1,402,433 of 1,481,306entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 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.

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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“泡泡色色日记❤️” (@paopao7699), 1,761 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/paopao7699.

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.