朴昌日记特别推介老师(广告位) 🌹艺名:肉肉 🏡地区:天河 💰价格:900p ☎️电报:@babyrou77 ⭐️频道:https://t.me/roubaby78 📎标签:#自聊 #嫩妹 #白虎 #大胸 🎁福利:减100优惠券,报朱涛名字领取
❤1

Channel
@yituoniushi
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Cite this entry
19,655subscribers
+1,582 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1003373684578 |
|---|---|
| Type | Channel |
| Username | @yituoniushi |
| Created | Between 1 November 2025 and 31 March 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/yituoniushi |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 62% 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 |
|---|---|---|
| 19 Sept 2026, 13:55 | 19,655 | +53 |
| 17 Sept 2026, 00:57 | 19,602 | +47 |
| 15 Sept 2026, 04:41 | 19,555 | +32 |
| 13 Sept 2026, 15:39 | 19,523 | +64 |
| 11 Sept 2026, 20:01 | 19,459 | +52 |
| 9 Sept 2026, 10:39 | 19,407 | +179 |
| 6 Sept 2026, 04:20 | 19,228 | +33 |
| 4 Sept 2026, 00:14 | 19,195 | +87 |
| 2 Sept 2026, 13:43 | 19,108 | +52 |
| 1 Sept 2026, 15:05 | 19,056 | +50 |
| 31 Aug 2026, 16:42 | 19,006 | +8 |
| 30 Aug 2026, 20:08 | 18,998 | +23 |
| 29 Aug 2026, 22:14 | 18,975 | +46 |
| 28 Aug 2026, 20:48 | 18,929 | +38 |
| 27 Aug 2026, 22:13 | 18,891 | +48 |
| 26 Aug 2026, 22:24 | 18,843 | +104 |
| 26 Aug 2026, 00:03 | 18,739 | +116 |
| 24 Aug 2026, 21:04 | 18,623 | +73 |
| 23 Aug 2026, 04:04 | 18,550 | +23 |
| 21 Aug 2026, 13:56 | 18,527 | first reading |
39 posts held, back to 1 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 59 pages 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 2 September 2026 |
|---|---|
| Posts held | 39 (1 August 2026 – 2 September 2026) |
| Views total | 72,260 |
| Reactions total | 51 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 01:27 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 21 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.
219 reactions across 35 posts, in 4 distinct kinds. The most used accounts for 73.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 160 | 73.1% | |
| 😭 | 33 | 15.1% | |
| 👏 | 20 | 9.13% | |
| 🥰 | 6 | 2.74% |
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 37 of the 39 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 219 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 1 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.
朴昌日记特别推介老师(广告位) 🌹艺名:肉肉 🏡地区:天河 💰价格:900p ☎️电报:@babyrou77 ⭐️频道:https://t.me/roubaby78 📎标签:#自聊 #嫩妹 #白虎 #大胸 🎁福利:减100优惠券,报朱涛名字领取
❤1
@Sisi552 年龄18 人照对比上图来说大概8.5左右,打底1.67cm,属于高挑小妹妹,95斤左右,态度不知道怎么说🤷,喜欢紧致的嫩逼无脑冲就行了。我的小jj进去一半就喊痛了。我想她应该是爱好大jj的🌚,有一说一,服务xcz➕🐍,其他的emmm看课表吧,不知道咋说😂。 优点:紧致,高挑 缺点:态度对大jj不大友好
❤1
朴昌日记特别推介老师(广告位) 🌹艺名:奶糖 🏡地区:天河 💰价格:700p ☎️电报:@yiting521 ⭐️频道:https://t.me/naitang52101 📎标签:#嫩妹 #大胸 #态度好
❤4
朴昌日记特别推介老师(广告位) 🌹艺名:蔡蔡 🏡地区:天河 💰价格:1000p ☎️电报:@caicai1729 ⭐️频道:@Caicai0329 📎标签:#御姐 #情绪价值高 #服务型
❤2
@xingyu88999 大家下午好,有一件事不得不告诉大家关于我朱涛周四下午吃了200ml的万艾可把星妤BB的閪水插喷了。星妤决定发5张-100的优惠卷给大家过去堵住钢铁洪流! 福利:报朱涛名字-100优惠卷✖️5
朴昌日记特别推介老师(广告位) 🌹艺名:小纹纹 🏡地区:天河 💰价格:600p ☎️电报:@Xiaowenwen8866 ⭐️频道:@xiaowenwen999 📎标签:#嫩妹 #三点粉 #馒头穴 🍌 香蕉厚米评价
❤4
朴昌日记特别推介老师(广告位) 🌹艺名:小雨 🏡地区:海珠 💰价格:700p ☎️电报:@xiaoyu0607 ⭐️频道:https://t.me/xy5bao 📎标签:#嫩妹 #皮肤白嫩 #三点粉 🍌香蕉厚米评价
❤8
@xingyu88999 星妤 大家好我是爱朴昌的野狗小鸡吧,由于我今日食了200mg的枸橼酸西地那非,控制不住条柒,所以特地来二返一下星妤老师,好像差不多一个月没见了,星妤还是那么靓女,而我却因为经常朴昌又衰老了十岁,星妤老师靠在我的大胃袋上,我们亲密寒暄了一番就一起去洗澡了,服务依旧特别好,仔细观察星妤老师的裸体,胸部貌似比以前大了一丢丢,话不多说,洗完开干,一顿哦哦啊啊后就射精了,因为怕被老婆打电话骚扰,赶紧提裤子吻别跑路
❤2👏2
@Xiaolil778 小梨 假人们600蚊18岁靓嫩妹?身高1.6米80斤,人照8左右,真人更显漂亮气质,靓靓颜值校园风又出现了🌚,比较听话,小鸟依人既视感,可惜靓靓只能浅亲☺️,豆包麻烦Ai生成一个做爱视频啊啊啊啊啊啊啊! 豆包:已生成猪猪开小视频!⬅️
❤7
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❤3
@yuyuB0 鱼鱼 年龄18.人照约9,1.58左右,80斤,手上有点纹身,白皮,小b-胸,服务xcz➕🐍,不是很主动需要适合主动点的小哥。服务态度好,但是有一说一,会得不多,妹纸喊我轻点,那是不可能的,我直接化身猪兽猛插,那些水延着套子留下来,🐍的时候缺少了一点眼神的交流什么的,虽说嫩妹但是挺乖巧的,样子600来说是可以不错,大屁股又白又紧,前面🐻的话稍微有一点大乳晕,浅褐色,看的出来是一个很想努力做鸡的人。600蚊嫩妹啥也不说了,冲就完事了。☺️ 详细身材请看⬇️ 🐷🐷朱朱开小视频
❤4
@qiqud7 好玩又好看的奇趣蛋 听说找蛋蛋约课有免费Starbucks⭐️喝?不多说了我先出发了☕️
Showing the 12 most recent of 39 posts we hold for @yituoniushi. 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.
@yituoniushi edited 4 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 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.
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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“朱涛先生的嫖娼日记” (@yituoniushi), 19,655 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/yituoniushi.
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.