Channel
@chengnianwangshi
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
1,260subscribers
+61 since we began measuring on 31 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002290218237 |
|---|---|
| Type | Channel |
| Username | @chengnianwangshi |
| Created | Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 31 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/chengnianwangshi |
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 18 September 2026 and assigned it the closest of 31 fixed categories, at 77% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 00:17 | 1,260 | +6 |
| 12 Sept 2026, 20:21 | 1,254 | +3 |
| 9 Sept 2026, 03:57 | 1,251 | +9 |
| 4 Sept 2026, 03:17 | 1,242 | +20 |
| 31 Aug 2026, 09:03 | 1,222 | +23 |
| 31 Aug 2026, 00:45 | 1,199 | first reading |
14 posts held, back to 25 May 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 1 page of 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.
| Window | Rolling 30 days · latest post in window 30 August 2026 |
|---|---|
| Posts held | 14 (25 May 2026 – 30 August 2026) |
| Views total | 836 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 31 Aug 2026, 00:45 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.
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.
4 reactions across 3 posts, in 2 distinct kinds. The most used accounts for 75.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 75.0% | |
| 👍 | 1 | 25.0% |
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 4 of the 14 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 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 25 May 2026 to 30 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.
【🐯虎王捕猎记】 👩🏫老师 @nndpdwfc 翔翔嫩妹 #龙华 #翔翔 💗特别鸣谢 @julian_wuya 乌鸦哥🐦⬛让我抽中半价，群里福利很不错，小群氛围也很好 颜值身材：7.8 第一眼比照片显嫩一点。开门的时候她还有点腼腆，头微微低着，说话声音不大，侧身让我进去以后就站在旁边等着。个子不高，身形偏纤细，皮肤白，整个人属于那种看起来比较乖的类型。 最加分的是一些细节。手脚都小，脚型秀气，踩在床边的时候显得很软。刚碰到她的时候还会下意识往回缩一点，像是不太习惯被人盯着看。 服务态度：9 房间收拾得比较干净，整体环境没什么槽点。刚开始明显有点拘谨，老娇羞了，非常可爱 我也没急着推进，先坐旁边慢慢聊。聊开一点以后，她才开始偶尔笑，肩膀也不像刚进门时那么紧。洗完回来以后状态明显放松不少，不过还是那种慢热型。你靠近一点，她会看你一眼，然后又把视线移开；真碰到她的时候，又没有刚开始那么躲了。 互动体验：8.5 前半…
Signed 虎王•尝百味👅
@sxbabybb❤️
Signed 虎王•尝百味👅
孙哥也是瓦学弟
Signed 虎王•尝百味👅
孙宇晨的前女友曾颖爆了孙宇晨和谷爱凌的裸照🐂
Signed 虎王•尝百味👅
预告一下翔翔 ❤️
❤1👍1
Signed 虎王•尝百味👅
🐯虎王战绩可查频道 pinned «1️⃣🔗新群 全是大湾区嫩妹: https://t.me/ZoroZ1_bot?start=join_8fcrRkkuA6g2ZjJh 2️⃣ 🔗https://t.me/Crab_bbot?startapp=inv_5319411380 🦀 小螃蟹｜真实测评 + 优惠券 + 积分白嫖，戳我进～ 进交流群：https://t.me/lwheibang»
1️⃣🔗新群 全是大湾区嫩妹: https://t.me/ZoroZ1_bot?start=join_8fcrRkkuA6g2ZjJh 2️⃣ 🔗https://t.me/Crab_bbot?startapp=inv_5319411380 🦀 小螃蟹｜真实测评 + 优惠券 + 积分白嫖，戳我进～ 进交流群：https://t.me/lwheibang
Signed 虎王
Photo, posted without a caption
Signed 虎王
【学生留名】：虎王 【出击时间】：日期 【老师名字】：#悦悦 【深圳地区】：#深圳 #龙华 【出击消费】：500/p 【颜值身材】：颜值人照一致，照片拍的略嫩，每个人审美不同 【服务内容】：69，🐍，水中萧，陪洗，口，课表上的都有#服务型老师 【上课体验】：虎王今天又上山了。电报上刷到的，距离特别近，龙华区，直接约的当天。 进门一看，人照基本一致，照片拍得略嫩一点，真人皮肤还不错，白里透点红，D罩杯，手感软，捏着有分量。 服务型老师，比较健谈，不冷场。课表上的项目基本都给了，没有偷工减料。 先陪洗，洗得很细致，泡沫打满全身，正反面都照顾到，蹲下来洗下面的时候还故意抬眼看我，带着点笑。洗完擦干，直接上服务。 B面先来，舌漫得很认真，从后背一直舔到大腿内侧，脚踝都没放过。毒龙的时候舌头伸得挺深，顶着肛门转圈，感觉她是真的在认真做，不是敷衍。海底捞月也把会阴和蛋蛋缝隙都照顾到了，敏感点抓得挺准。 翻过来A面，69开整。她口活不错，舌头…
❤1
Signed 虎王
最近忙着换城市换阵地，后续更新深圳香港的吃喝玩乐，xdm 等等
Signed 虎王
清清是我之前去按摩店的时候认识的技师。按摩手法非常好，店里是个纯绿色的按摩店，几个技师手法都挺好的，那段时间我腰不舒服去得次数比较多，她最多也就在店里帮我打个飞机，技术还不错，但一直没更进一步。后来她上岸不干了，我们反而熟络起来，经常一起打游戏，语音里聊得越来越暧昧。 前天办完事约她出来吃饭，她也没扭捏就答应了。带她去了家创意菜，她倒真不客气，北极贝、牛舌、牡丹虾、各种串串。点的我真心疼 她吃得挺开心，一边夹菜一边跟我聊天，声音软软的，笑起来眼睛弯弯的，特别有女人味。她穿着一件白色带小樱桃图案的针织吊带，领口低低的，那对又圆又白的奶子被挤出一道深深的乳沟，随着动作轻轻晃动，我隔着桌子就一直偷瞄，下面早就硬了。 吃完饭我拿着小票逗她：“760块把你喂饱了，现在该我好好吃你了。”她脸红红地笑了笑，没拒绝。我们打车回到我那儿，一进门我就从后面抱住她，先亲脖子，然后手直接伸进吊带里狠狠抓那对又软又沉的大奶。她轻轻喘着说：“老公你好急………
❤1
Signed 虎王
准备办事
Signed 虎王
Showing the 12 most recent of 14 posts we hold for @chengnianwangshi. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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 17 September 2026 — this entry's latest reading, not the date you are reading this.
“🐯虎王战绩可查频道” (@chengnianwangshi), 1,260 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/chengnianwangshi.
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.