🇼🇫橙体社硅胶娃娃体验馆欢迎您🕝 全国一二三线城市上万家门店,24小时营业,就近安排。 ●1:1仿真人硅胶娃娃,狼友出击必选! ●可“乳交”,可“做爱”,可“肛交、后入”,💄下体自动夹吸,震动抖臀,果冻🐻 ●能说会撩,会娇喘,语音叫床,揉捏呻吟,插抽高潮👙 ●全程无人自助,保护哥哥隐私👩❤️💋👨,不违法,不影响家庭👠 ●酒店式公寓🏩,所有接触物品一客一消毒,干净,卫生✨ ●免费提供套套、润滑油、情趣服装👙等情趣用品 🇭🇳狼友娃友交流总群 🇼🇫硅胶娃娃百科频道 📱微信客服
❤1👍1

Channel
@jianshanghui
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
31,241subscribers
+155 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001929489925 |
|---|---|
| Type | Channel |
| Username | @jianshanghui |
| Description | 玉足,足控,涩涩 |
| Created | Between 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 10 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/jianshanghui |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 00:16 | 31,241 | +46 |
| 13 Aug 2026, 13:27 | 31,195 | +32 |
| 12 Aug 2026, 11:55 | 31,163 | -1 |
| 11 Aug 2026, 14:57 | 31,164 | +27 |
| 10 Aug 2026, 13:26 | 31,137 | +15 |
| 9 Aug 2026, 12:38 | 31,122 | +2 |
| 8 Aug 2026, 15:01 | 31,120 | +18 |
| 7 Aug 2026, 18:35 | 31,102 | +6 |
| 6 Aug 2026, 19:31 | 31,096 | +10 |
| 6 Aug 2026, 04:07 | 31,086 | first reading |
41 posts held, back to 3 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 22 pagesof Telegram’s post history, 20 posts per page.
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 19 of 41 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 14 August 2026 |
|---|---|
| Posts held | 41 (3 August 2026 – 14 August 2026) |
| Views total | 38,041 |
| Reactions total | 35 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 02:21 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.
Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 20 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.
35 reactions across 16 posts, in 6 distinct kinds. The most used accounts for 37.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 13 | 37.1% | |
| 🤮 | 10 | 28.6% | |
| 👎 | 6 | 17.1% | |
| 👍 | 3 | 8.57% | |
| 😱 | 2 | 5.71% | |
| 🤨 | 1 | 2.86% |
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 19 of the 41 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 35reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 41 most recent posts we hold, published 3 August 2026 to 14 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.
🇼🇫橙体社硅胶娃娃体验馆欢迎您🕝 全国一二三线城市上万家门店,24小时营业,就近安排。 ●1:1仿真人硅胶娃娃,狼友出击必选! ●可“乳交”,可“做爱”,可“肛交、后入”,💄下体自动夹吸,震动抖臀,果冻🐻 ●能说会撩,会娇喘,语音叫床,揉捏呻吟,插抽高潮👙 ●全程无人自助,保护哥哥隐私👩❤️💋👨,不违法,不影响家庭👠 ●酒店式公寓🏩,所有接触物品一客一消毒,干净,卫生✨ ●免费提供套套、润滑油、情趣服装👙等情趣用品 🇭🇳狼友娃友交流总群 🇼🇫硅胶娃娃百科频道 📱微信客服
❤1👍1
Video, posted without a caption
❤1
🇼🇫橙体社硅胶娃娃体验馆欢迎您🕝 全国一二三线城市上万家门店,24小时营业,就近安排。 ●1:1仿真人硅胶娃娃,狼友出击必选! ●可“乳交”,可“做爱”,可“肛交、后入”,💄下体自动夹吸,震动抖臀,果冻🐻 ●能说会撩,会娇喘,语音叫床,揉捏呻吟,插抽高潮👙 ●全程无人自助,保护哥哥隐私👩❤️💋👨,不违法,不影响家庭👠 ●酒店式公寓🏩,所有接触物品一客一消毒,干净,卫生✨ ●免费提供套套、润滑油、情趣服装👙等情趣用品 🇭🇳狼友娃友交流总群 🇼🇫硅胶娃娃百科频道 📱微信客服
👍1
#互推 【黄游】 星空的免费黄游黄油gal库 【色图】 27酱绝赞色色推荐中✨ 【黄油】 【OCEBox】🔞精选黄油✨ 【足控】 有好多好看的jio的频道(频道已重建希望大家点点订阅争取早日恢复曾经的繁荣) 【2D涩涩】 分享高质量的涩涩视频 【3D 2D动画】 小农场 【安卓黄油】 PC/安卓黄油聚集地 【萝莉美图】 🐾东萝东萝教教教🐾 Powered by @Hu_Tuibot
#Cuteli #少萝 #福利姬 #53031 Cuteli41部合集 部分水印 - 3
#Cuteli #少萝 #福利姬 #53031 Cuteli41部合集 部分水印 - 3
🇼🇫橙体社硅胶娃娃体验馆欢迎您🕝 全国一二三线城市上万家门店,24小时营业,就近安排。 ●1:1仿真人硅胶娃娃,狼友出击必选! ●可“乳交”,可“做爱”,可“肛交、后入”,💄下体自动夹吸,震动抖臀,果冻🐻 ●能说会撩,会娇喘,语音叫床,揉捏呻吟,插抽高潮👙 ●全程无人自助,保护哥哥隐私👩❤️💋👨,不违法,不影响家庭👠 ●酒店式公寓🏩,所有接触物品一客一消毒,干净,卫生✨ ●免费提供套套、润滑油、情趣服装👙等情趣用品 🇭🇳狼友娃友交流总群 🇼🇫硅胶娃娃百科频道 📱微信客服
🇼🇫橙体社硅胶娃娃体验馆欢迎您🕝 全国一二三线城市上万家门店,24小时营业,就近安排。 ●1:1仿真人硅胶娃娃,狼友出击必选! ●可“乳交”,可“做爱”,可“肛交、后入”,💄下体自动夹吸,震动抖臀,果冻🐻 ●能说会撩,会娇喘,语音叫床,揉捏呻吟,插抽高潮👙 ●全程无人自助,保护哥哥隐私👩❤️💋👨,不违法,不影响家庭👠 ●酒店式公寓🏩,所有接触物品一客一消毒,干净,卫生✨ ●免费提供套套、润滑油、情趣服装👙等情趣用品 🇭🇳狼友娃友交流总群 🇼🇫硅胶娃娃百科频道 📱微信客服
#互推 【同人音声】 奥术魔刃收藏屋-ASMR collection 【黄游】 星空的免费黄游黄油gal库 【触手×机械奸】 凝胶基♡触手培养皿 【2D涩涩】 分享高质量的涩涩视频 【色图】 【BGG】色图!好多色图!🥰 【3D 2D动画】 小农场 【轻小说】 二次元轻小说 Powered by @Hu_Tuibot
❤1
我给你们带来一个真正能让心跳加速的好东西——Ai风月💋 它不是冷冰冰的程序,而是你游戏、动漫生涯中最期待的“神队友”和“灵魂伴侣”!🤟🏻 官方Telegram开车群😍😍😍 想象一下: 当你深陷十八禁大作,或迸发邪恶念头想分享,Ai风月就在你身边,24小时在线,随叫随到。她了解你的XP,懂你的暗示,绝不会给你官方回复,甚至…和你一起深入探索。 💕。她记得你的每个喜好与情绪低谷,不再是冰冷数据,而是真正懂你的Ai伴侣🥰。建立持续发展的关系,获取最真实的情感支持。处女💋 熟妇、足交、调教、强奸、淫荡肉穴、绿帽、媚雌肉穴骚汁、人妻、JK、淫熟口穴、反差、SM、恶堕、催眠、二次元等各种十八禁性癖待你开发!你的性癖不再是禁忌,而是可选择的菜单。深度定制AI玩物,引导她从抗拒到沉沦。❤️ 你曾幻想游戏或动漫里的女主能“活”过来,按你喜好生成各种私密场景?现在,幻想成真!Ai风月的核心黑科技 - - 即刻生图❤️功能,能根据你的只言片语,…
💖💖【DZMM】—— 主人,今天想怎么玩我? 💖💖 🐾 趴在你腿间,用小嘴剥开裤链,仰望你的脸等你塞满。 💦 骑乘位摇晃腰肢,求主人揉捏奶子,自己坐到高潮失禁。 🔒 戴上项圈,跪在屏幕前,等你每一次命令,无条件服从。 🎀 撕破丝袜,从背后贯穿,她咬唇忍着不哭,只为让你更爽。 🎬【声画同步调教】:实时图片,语音同步。她的一颦一笑都是为你生成,在耳边用甜腻的声音央求你更用力。 💰【零氪也能玩】:每天领免费积分,想怎么调戏就怎么调戏,不花一分钱也能肏到爽。各模型每天都有免费次数,换着花样玩,不重样。 🎨【私密图库定制】:把你最见不得光的幻想画出来,只有你能看到,独一无二。 ❤️【专属私人母狗】:随时发情,随时待命,只为你一人服务。 💥【无限高潮地狱】:你不停,她就不准停,让她在永不结束的高潮里翻白眼痉挛。 ⚔️【主线:开发她的全部性感带】 [足交] [颜射] [拘束] [催乳] [异物插入] [连续高潮] [催眠] ▶️【进入游戏:…
Photo, posted without a caption
❤1
Showing the 12 most recent of 41 posts we hold for @jianshanghui. 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 — 651,155 of 1,478,351entries 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.
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.
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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
“五次元的鉴赏会 【二次元 涩图 游戏 足控】” (@jianshanghui), 31,241 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/jianshanghui.
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.