Channel
@xingpichigua
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
104,307subscribers
+857 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 100,000–316,228.
| Telegram ID | -1002581473706 |
|---|---|
| Type | Channel |
| Username | @xingpichigua |
| Description | 主要投稿各种隐私、秘密。单纯的做个吃瓜的频道 癖投稿机器人 telegram ： @xptaogao_bot Twitter / x 关注 防走失：https://x.com/pihao2025 |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/xingpichigua |
Memes & entertainment — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 44% 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 |
|---|---|---|
| 15 Aug 2026, 19:44 | 104,307 | +185 |
| 14 Aug 2026, 08:26 | 104,122 | +116 |
| 12 Aug 2026, 23:13 | 104,006 | +163 |
| 11 Aug 2026, 23:34 | 103,843 | +114 |
| 11 Aug 2026, 02:02 | 103,729 | +103 |
| 10 Aug 2026, 04:14 | 103,626 | +79 |
| 9 Aug 2026, 05:02 | 103,547 | +73 |
| 8 Aug 2026, 04:55 | 103,474 | +24 |
| 7 Aug 2026, 18:02 | 103,450 | first reading |
98 posts held, back to 6 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 28 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 74 of 98 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 16 August 2026 |
|---|---|
| Posts held | 98 (6 August 2026 – 16 August 2026) |
| Views total | 373,360 |
| Reactions total | 208 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 16 Aug 2026, 13:46 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 16 August 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.
Measured directly from 9 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.
208 reactions across 64 posts, in 7 distinct kinds. The most used accounts for 77.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 161 | 77.4% | |
| 👍 | 35 | 16.8% | |
| 🤡 | 5 | 2.40% | |
| 👎 | 2 | 0.962% | |
| 🔥 | 2 | 0.962% | |
| 🙈 | 2 | 0.962% | |
| 👏 | 1 | 0.481% |
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 74 of the 98 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 208reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 98 most recent posts we hold, published 6 August 2026 to 16 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.
树洞 正式 进行改制：本频道主要发布各种树洞心声吐露，匿名爆料（文字为主） 颜值、鉴赏、图赏：主要发布各种 纯欲天花板、私房写真、视觉冲击（高清美图、视频） 缘分 ·、邂逅、交友 、：主要发布各种交友 、相亲、邂逅信息 投稿点击 👉👉稿机器人(人工) Twitter / x 关注防止走失 全网资源搜索频道 备份防炸专用频道 ps:解封使用投稿机器人联系我。不管如何被封禁的，必须投稿一次内容，投稿被通过之后才可以解封（交友信息不算）。
#树洞 我的一个朋友，这货当初去某些场所，找陪酒的陪唱的，专门扣弄她们的屁眼，不抠的妹子嗷嗷叫不罢休，我亲眼见过，搂着人家，手顺着后腰的裙子往里摸，人家以为他是摸屁股，谁知道是去抠那里，浑身一激灵一尖叫，就知道被得手了。我后来问他，说你不怕挨揍啊？他说多给钱呗。具体给多少我也没问过，就知道挺恶心的，都不敢跟他握手。 后来是我老婆也被前男友抠过，婚后才知道的。老婆跟他搞对象，交往一段时间后，有肉体接触了，这货就开始上下其手了，那时候老婆还是处，不让他摸前面，不过经常被他挑逗的湿淋淋的，结果有一次他把老婆内裤都扒了，一边接吻一边想往里抠，老婆阻止他，说被抠的前面有点疼，估计是他就想用手指抠进个洞吧，假装摸屁股，借着淫水的润滑，一下把手指捅进了我老婆的屁眼，老婆被他吸着舌头，挣扎着让他拔出来，结果他还用手指抽插上了，最后老婆咬了他舌头一下，这才挣脱开。事后他买了好多化妆品道歉才算作罢。（最后老婆也被他操了，也分手了）
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#求助 想问问有没有同样经历的哥们们？ 孩子一岁了已经，在孩子出生的前三个月，基本一次没有，那时候想老婆还没恢复，而且还在喂奶，不方便，情有可原。 后来半岁断奶，我们开始恢复性生活，但是基本每月一次，老婆总是觉得带娃累，怎么办啊？
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#树洞 大概是2006-2007年两年吧，女的流行穿低腰牛仔裤，大街上到处能看到露出小腹部的女孩子，真是美好的时光 更美妙的是那些门店做销售的女孩子穿着低腰牛仔裤，只要一蹲下拿东西，往往就能看到的屁股槽子，因为穿低腰牛仔裤的时候往往穿的内裤也是低腰的， 当下蹲时内裤会随着牛仔裤往下拉而跟着往下， 记得有段时间我所在的门店基本每天都能看到这样的场景，而且那个时候我所在的门店的女销售身材都很好，不然也穿不了这样的裤子， 更加关键的是那些女销售中还一个我喜欢的女孩子，那高挑的身材，配上低腰的紧身牛仔裤，当她蹲下拿东西的时候，简直太兴奋了，那段时光真是美好 可惜，后来没多久那个女孩也离职了，低腰牛仔裤也慢慢的不流行了，真是怀念啊。
❤2
#树洞 准备后入媳妇儿，让她跪趴屁股翘起来的时候，发现媳妇儿的阴道就直接可以大张开了，可能是腿分开重力向下的缘故吧，阴道就是一个黑黑的无底洞，空气直接就进入了阴道里，鸡巴插进去操里边的空气还会噗嗤噗嗤的响，用手指摸着她的菊花时，菊花也会微微的张开，特别有感觉，用手指一摸老婆的菊花我就想射。这是什么情况？
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#树洞 2019年时候闲来无事上了附近人寻找猎物，加了一位45左右的女人，前后聊天得知她在超市上班，老公是厨师很胖，我心想很胖那就是操她少呗。聊了两天果断约出来，就提议去酒店看电视，她扭扭捏捏答应了，进了屋直接抱住就亲，先吻脖子，女的开始叫起来，看来很久不被操了，下面全是水。脱了衣服让他给我吃鸡巴，我就摸她她的逼，水很多真的很多，有点滴答水，我有喜欢舔逼直接上口舔了起来。69式互舔。女的一顿浪叫，戴套提枪上马。逼有点松，不过水流到床单上湿了一大片，操的激烈时候猛然拔出来，我靠，居然喷了，继续抽查继续让她喷，好刺激的，最后射的时候射在她奶子上，还说我的精液恶心，心想下次射你嘴里。下楼送她去骑电动车。我就回家了。
#树洞 过两天女友就去和她追求者上床了，我要求的。女友很漂亮很爱我，愿意为了我的绿帽癖好跟别人做一次拍给我看，她没法接受跟自己完全不喜欢的上床，更接受不了陌生人，这个追求者她不喜欢，还是因为他确实追太久了，心里才勉强过得去。女友和那个男的约的那天越来越近，她反而越来越焦虑了，说是因为对其他男的生理心理上很排斥，为了爱我仅仅满足我一次，她很焦虑这样会破坏我们之间的感情，会有心态变化。但是我跟她说了不会，事后我对你不会有任何变化。但是她自己那关还是很难过，这两天她也焦虑的不行，但是她会硬着头皮上的。至于我，我的脑子里全是想看女友被别人操的兴奋感。确实很对不起她，那么久了她对我确实真的超级爱吧，什么都听我的，很乖，看我的眼神永远都是星星眼，对别人永远保持边界感，为了爱我不要彩礼跟她父母闹矛盾不要我的任何东西只要和我这个穷逼傻B在一起😅，不知道这次事情过后，她会不会不再那么活泼可爱了。我知道自己对不起她，但我也放不下我的绿帽癖 事后…
❤2
#树洞 我是严重的绿帽癖患者，之前在网上无脑乱发了我女友的生活照，露脸裸照和露脸漏点视频，结果被传播到了吃瓜网上和黑料网上。吃瓜网上我女友的大学同学在评论区打出了我女友的名字，女友被认出来了。但是后来我女友也不知道这件事情，应该是那个大学同学他也是在偷偷地看光我的女友，没有声张。不知道看光我女友的她的大学同学现在心里是什么感觉。我现在很害怕，不知道该怎么办。
❤1
树洞 正式 进行改制：本频道主要发布各种树洞心声吐露，匿名爆料（文字为主） 颜值、鉴赏、图赏：主要发布各种 纯欲天花板、私房写真、视觉冲击（高清美图、视频） 缘分 ·、邂逅、交友 、：主要发布各种交友 、相亲、邂逅信息 投稿点击 👉👉稿机器人(人工) Twitter / x 关注防止走失 全网资源搜索频道 备份防炸专用频道 ps:解封使用投稿机器人联系我。不管如何被封禁的，必须投稿一次内容，投稿被通过之后才可以解封（交友信息不算）。
❤1👍1
Showing the 12 most recent of 98 posts we hold for @xingpichigua. 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 — 324,164 of 1,481,277entries 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.
Named by 2 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.
“树洞-情感吃瓜、匿名爆料” (@xingpichigua), 104,307 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/xingpichigua.
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.