🌸8202🌸 ✨ 年龄:20 ✨ 身高:158cm ✨ 体重:47kg ✨ 胸围:34B ━━━━━━━━━━━━━━━━ 服务内容: 🈚️小孩 🉑69式丶无套吹👄戴套做💕深🐒 共浴🛀 调情 👩❤️💋👨 陪酒🥂摸逼🌸舔逼👅扣逼🖕 ━━━━━━━━━━━━━━━━ 💰7000p-做2次 3小时 🐍 💰13000p-做3次 6小时 🐍 ━━━━━━━━━━━━━━━━ 🚗 上门 +1000P车费

Channel
菲律宾修车 马尼拉修车 KK修车
@kkpornn
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
13,075subscribers
-512 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001834014575 |
|---|---|
| Type | Channel |
| Usernames | @kkpornn @xiuche2 |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 61 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/kkpornn |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 12:16 | 13,075 | +1 |
| 17 Sept 2026, 11:38 | 13,074 | +4 |
| 16 Sept 2026, 02:56 | 13,070 | +1 |
| 15 Sept 2026, 12:38 | 13,069 | +4 |
| 14 Sept 2026, 06:17 | 13,065 | -2 |
| 13 Sept 2026, 23:36 | 13,067 | +8 |
| 12 Sept 2026, 17:40 | 13,059 | +5 |
| 12 Sept 2026, 05:02 | 13,054 | +28 |
| 10 Sept 2026, 16:57 | 13,026 | -2 |
| 9 Sept 2026, 19:54 | 13,028 | +6 |
| 7 Sept 2026, 12:59 | 13,022 | -5 |
| 6 Sept 2026, 11:37 | 13,027 | -3 |
| 4 Sept 2026, 15:39 | 13,030 | -6 |
| 4 Sept 2026, 06:22 | 13,036 | +1 |
| 3 Sept 2026, 04:14 | 13,035 | -8 |
| 2 Sept 2026, 18:15 | 13,043 | -12 |
| 2 Sept 2026, 02:34 | 13,055 | -26 |
| 1 Sept 2026, 15:03 | 13,081 | -47 |
| 31 Aug 2026, 23:35 | 13,128 | no change |
| 31 Aug 2026, 18:13 | 13,128 | first reading |
Engagement
31 posts held, back to 4 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 52 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 9.47%
- avg views ÷ 13,075 subscribers
- Avg views / post
- 1,240
- 12 posts measured
- Reaction rate
- 0.112%
- reactions ÷ views · ER floor
- Posts in window
- 12
- of 31 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 9 of 12 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 31 (4 August 2026 – 2 September 2026) |
| Views total | 14,852 |
| Reactions total | 13 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 20:47 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
- 2m 13s
- Average length
- 10s
Measured directly from 14 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
33 reactions across 18 posts, in 2 distinct kinds. The most used accounts for 97.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 32 | 97.0% | |
| 👍 | 1 | 3.03% |
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 24 of the 31 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 33 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 31 most recent posts we hold, published 4 August 2026 to 2 September 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
妹子最后更新时间:2026-08-31 23:10:19 🌸902🌸 jtv 红牌 ✨ 年龄:22 ✨身高:165 ✨ 体重:42kg ✨胸围 :34C ━━━━━━━━━━━━━━━━ 日本混血小美女 . KTV红牌下海 . 本人漂亮真胸,皮肤白皙光滑细嫩,性感小野马服务好,配合度高,听话 ,模特身材好高挑水蛇妖,体力好耐操 ━━━━━━━━━━━━━━━━ 💰快餐 15000P 3小时内 2次 💰短包 23000P 8小时内 3次
🌸 s56 🌸 ✨ 年龄:20 ✨ 身高:158 cm ✨ 体重:37 kg ✨ 胸围:C ━━━━━━━━━━━━━━━━ 本人比照片好看 ,保证不踩坑系列 . 🈚️孩子 🉑69式丶无套吹👄戴套做💕深🐒 共浴🛀 调情 👩❤️💋👨 陪酒🥂摸逼🌸舔逼👅扣逼🖕 ━━━━━━━━━━━━━━━━ 💰快餐 3小时2次 18000 🐍
❤2
妹子最后更新时间:2026-08-30 22:19:13 🌸 723 🌸 ✨ 年龄:22 ✨ 身高:160 cm ✨ 体重:42 kg ✨ 胸围:D ━━━━━━━━━━━━━━━━ 本人比照片好看 ,保证不踩坑系列 . 🉑69式丶无套吹👄戴套做💕深🐒 共浴🛀 调情 👩❤️💋👨 陪酒🥂摸逼🌸舔逼👅扣逼🖕 ━━━━━━━━━━━━━━━━ 💰快餐 3小时2次 13000 🐍 💰长包 8小时4次 19000 🐍
❤2
🌸 ss65 🌸 ✨ 年龄: 21 ✨ 身高:155 ✨ 体重:41kg ✨ 胸围:36D大奶 ━━━━━━━━━━━━━━━━ ✅ 「金牌技师」 私聊我来要裸照 服务。天花板,不叫停,绝对不会停的那种 口爆 毒龙 样样精通 胸大。臀翘,奶子粉嫩!! 刚下海没多久 现在日到就是赚到!!! 🈚️小孩 🉑69式丶无套吹👄戴套做💕深🐒 共浴🛀 调情 👩❤️💋👨 陪酒🥂摸逼🌸舔逼👅扣逼🖕 ━━━━━━━━━━━━━━━━ 🌺套餐一: 15000p 做2次 3小时🐍 🌺套餐二: 23000p 做3次 8小时🐍
🌸 999 🌸 ✨ 年龄:20 ✨ 身高:161cm ✨ 体重:48kg ✨ 胸围:34D ━━━━━━━━━━━━━━━━ ⭐️⭐️⭐️SSSS榜服务榜推荐菲妹 ⭐️⭐️⭐️ 可以提供日式服务,自带道具 菲妹的价格 日本妹的体验!! 菲日混血,萝莉款式,奶子非常大非常软,丝袜制服,口交乳交,乖巧听话 ━━━━━━━━━━━━━━━━ 💰13000p-做2次 3小时 🐍 💰22000P-做3次 8小时 🐍
❤3
🌸9011 🌸 ✨ 年龄:21 ✨ 身高:158cm ✨ 体重:48kg ✨ 胸围:34C ━━━━━━━━━━━━━━━━ 服务内容: 🉑69式丶无套吹👄戴套做💕深🐒 共浴🛀 调情 👩❤️💋👨 陪酒🥂摸逼🌸舔逼👅扣逼🖕 ━━━━━━━━━━━━━━━━ 💰7000p-做2次 3小时 🐍 💰13000p-做3次 6小时 🐍 ━━━━━━━━━━━━━━━━ 🚗 上门 +1000P车费
妹子最后更新时间:2026-08-27 23:38:45 🌸8978🌸 ✨ 年龄:22 ✨ 身高:158cm ✨ 体重:40kg ✨ 胸围:34B ━━━━━━━━━━━━━━━━ 🉑69式丶无套吹👄戴套做💕深🐒 共浴🛀 调情 👩❤️💋👨 陪酒🥂摸逼🌸舔逼👅扣逼🖕 ━━━━━━━━━━━━━━━━ 💰快餐 7000P 三小时内 2 🐍 💰长包 13000P 八小时内 3🐍 ━━━━━━━━━━━━━━━━ 🚗 上门 +1000P车费
❤1
🌸2899🌸 ✨年龄: 22 ✨身高: 158 ✨体重: 36kG ✨胸围: 34B ━━━━━━━━━━━━━━━━ 🈚️小孩,皮肤白皙光滑细嫩,性感小野马服务好,配合度高,听话 ━━━━━━━━━━━━━━━━ 💰白银套餐:15000p-做2次 3小时 💰钻石套餐:23000P-不限8小时
❤1
妹子最后更新时间:2026-08-26 21:10:18 🌸 2886🌸 ✨ 年龄: 27✨ 身高:157 ✨ 体重:50kg ✨ 胸围:36B ━━━━━━━━━━━━━━━━ 人妻 🉑69式丶无套吹👄戴套做💕深🐒 共浴🛀 调情 👩❤️💋👨 陪酒🥂摸逼🌸舔逼👅扣逼🖕 ━━━━━━━━━━━━━━━━ 💰快餐 7000P 三小时内 2 🐍 💰长包 13000P 八小时内 3🐍 ━━━━━━━━━━━━━━━━ 🚗 上门 +1000P车费
❤1
妹子最后更新时间:2026-08-26 22:06:26 🌸 安雅 🌸 ✨ 年龄: 22 ✨ 身高:165 ✨ 体重:48kg ✨ 胸部:34C ━━━━━━━━━━━━━━━━ 服务内容: 🉑69式丶无套吹👄戴套做💕深🐒 共浴🛀 调情 👩❤️💋👨 陪酒🥂摸逼🌸舔逼👅扣逼🖕 ━━━━━━━━━━━━━━━━ 💰快餐 7000P 三小时内 2 🐍 💰长包 13000P 八小时内 3🐍 ━━━━━━━━━━━━━━━━ 🚗 上门 +1000P车费
❤1
🚀 全新开通|其他海外频道 跨越距离,不负每一次信任; 无论白天黑夜,无论您身在何方, 只要你需要,我们始终在线。 国内1-5线城市 均可安排 请咨询客服 💬 24小时在线客服 @drivers,一对一贴心服务。 🌍 更多国家及地区,欢迎随时咨询。 🇭🇰 香港:@gzcxczj 🇲🇴 澳门:@gcasam 🇦🇺 悉尼:@gzcaxa 🇲🇾 吉隆坡:@koreavietnamese 🇸🇬 新加坡:@gzcwh 🇨🇦 温哥华:@gzcanj 🇨🇦 多伦多:@gzxcxq 🇺🇸 旧金山:@gzxczj 🇺🇸 纽约:@gzcdq
❤2
Showing the 12 most recent of 31 posts we hold for @kkpornn. 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 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.
Named by
Channels on the register whose posts name this channel's handle.
@PH591 · 208,718173 posts菲龙网新闻|官方频道
@woaiui · 9,44912 posts泰国修车 曼谷修车 KK修车
@xiuche1145 · 612 posts👉萱萱 工作室 快速精准 引流 三年老平台
@as081023 · 2531 post越南修车 胡志明修车 KK修车
@dreamChinese · 651 post飞科代发中转频道
@hvgj5 · 51 post马来西亚修车 吉隆坡修车 KK修车
@koreavietnamese · 5,1311 post日本修车 东京修车 kk修车
@xiuche116 · 1961 post迪拜修车 迪拜妹子 KK修车
@xiuche1288 · 501 post
Names
Channels on the register whose handles appear in this channel's posts.
@gcasam · 1061 post温哥华修车 温哥华外围上门
@gzcanj · 1021 post悉尼修车 悉尼外围修车
@gzcaxa · 7451 post纽约修车 纽约外围上门 KK
@gzcdq · 4651 postkk 新加坡修车 新加波外围上门
@gzcwh · 7591 postKK 香港修车 香港外围上门
@gzcxczj · 1,1641 post多伦多修车 多伦多外围上门 KK
@gzxcxq · 3251 post旧金山修车 旧金山围上门 KK
@gzxczj · 4731 post马来西亚修车 吉隆坡修车 KK修车
@koreavietnamese · 5,1311 post
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“菲律宾修车 马尼拉修车 KK修车” (@kkpornn), 13,075 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/kkpornn.
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.