从花街离开,蒙蒙霏霏的细雨变成铺天盖地的瓢泼,整条冗长的街道,苍茫混沌一片,我站在台阶上失神,如此磅礴的雨,到底从哪来?苍天轮回的泪吗?

Channel
岚山老师个人频道!!!
@AM8319278
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry
3,274subscribers
-5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002541135010 |
|---|---|
| Type | Channel |
| Username | @AM8319278 |
| 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 | 28 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 2 times, most recently 28 August 2026 |
| On Telegram | t.me/AM8319278 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Aug 2026, 04:34 | 3,274 | -2 |
| 18 Aug 2026, 11:13 | 3,276 | -13 |
| 15 Aug 2026, 00:45 | 3,289 | +5 |
| 11 Aug 2026, 12:35 | 3,284 | +8 |
| 8 Aug 2026, 07:59 | 3,276 | -3 |
| 7 Aug 2026, 18:02 | 3,279 | no change |
| 7 Aug 2026, 17:53 | 3,279 | first reading |
Engagement
18 posts held, back to 27 July 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 2 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 34.2%
- avg views ÷ 3,274 subscribers
- Avg views / post
- 1,120
- 11 posts measured
- Reaction rate
- 0.293%
- reactions ÷ views · ER floor
- Posts in window
- 11
- of 18 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 4 of 11 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 August 2026 |
|---|---|
| Posts held | 18 (27 July 2026 – 6 August 2026) |
| Views total | 12,320 |
| Reactions total | 13 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 00:09 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
- 24s
- Average length
- 12s
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.
Reaction mix
22 reactions across 7 posts, in 5 distinct kinds. The most used accounts for 68.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 15 | 68.2% | |
| 👏 | 2 | 9.09% | |
| 💩 | 2 | 9.09% | |
| 🤮 | 2 | 9.09% | |
| 👍 | 1 | 4.55% |
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 7 of the 18 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 22reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 27 July 2026 to 6 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.
Recent posts
昨晚同行的姐妹儿收到消息后都吓得不敢上班了,人很少,我照常富贵险中求,刚到花街不久,那群便衣站离我最近的路口盯了我好久,我第六感告诉我情况不对,我看看他们,他们看看我,我掏出镜子欣赏着自己的美貌,照了一会儿后我不站了,开始在花街巷子里溜达,那群便衣一直在后面不紧不慢的跟着我,我头没扭假装没看到,路过烤肠店买了根烤肠边吃边走,打算走出花街到马路上避避风头,花街的巷子很多,我迷了路,回头往回走的时候跟着我的便衣其中一个问我去哪儿,我说饿了买东西吃去,走出巷子后,买了杯奶茶坐那边喝边跟老大聊天,我他妈就知道那是便衣。😂 后来老大说没事了,可以进去了。进去后一个身高大概190很强壮的男人在便衣刚刚站的路口盯了我好久,我心中一阵无语,他向我走过来问我多少钱,我说什么多少钱?他说你放心,我是山东的,我不是条子,我说听不懂,他用山东话给我交流自证,还给我看了电子身份证……我低语快餐500十分钟不脱衣服,他说走,我说你真不是条子来抓我的,他说我…
❤2💩2
我问老大为什么我站了半天不会动,老大说我气场足很多男人怕驾驭不了我,看来大部分男人都喜欢容易驾驭的女人,只有少部分喜欢难征服的,特别的。😂
这世上的人,分三六九等,有些注定是伺候别人的,以美色,以肉体,以不同的方式和身份。 泥潭里卖笑,床铺上卖骚,男人怀里花言巧语,谁不是血肉之躯往前拼的,跪着伺候人的,趴着当性奴的,比比皆是。 每个人的出生,都不是自己能选择的,但未来怎样翻盘,在于自己。
有的同行打扮起来比正儿八经的学生妹都清纯,难道就纯吗?借着谈恋爱的名头谈了几十个男朋友,打了好几次胎的姑娘,不做娼妓,和娼妓有区别吗?小姐好歹还赚钱呢,谁都不是啥好鸟,全他妈会装而已。
👏2
河南快凑够啦,有没再凑一凑的,我回河南开课
❤2
郑州有没上课的啊
在花街的时候我遇到了他,那天我刚从炮房忙完出来,他走到我面前一个眼神我秒懂,带他进了我的炮房,他说在整个巷子转好几圈了,那些女人身上风尘气都太重了,刚才一直没看到我,正好打算走了,看到我忙完出来,第六感告诉他,我就是他今晚要找的人。我说为什么?那边十七八岁的妹妹身上总没有风尘气吧,他说他阅女无数,有些东西跟年龄无关,你很有气质,身上没有风尘气,说白了就是看起来你不像是卖的,站在这条街上,和其他这些女人格格不入,我喜欢特别的人。我说我很认可你的品味。 10分钟过后,他很满意我的服侍,后来他不在炮房找我打炮了,他说我这样的在花街屈才了,每次都约他家里,有次连着在他家住了四五天,我们每夜都做爱,不止是每夜,白天的时候,他拉开窗帘,我浑身赤裸,对着落地窗,窗外就是居民楼,楼下是汽车的鸣笛声,来往的路人。我们从床上,沙发,厨房,阳台,甚至冰冷的楼梯,我敞开睡袍,他威风凛凛的骑在我身上,他拿皮带抽我,抽虚无的空气,抽楼梯,发出各种声响,融合…
❤4👍1
自古烟花柳巷,污浊淫秽,既惹人生厌,又高朋满座,是风尘外的看客自视清高,还是社会的麻木不仁。 世道爱它,又唾弃它,沦陷于它,又深恶痛绝。 脱了衣服,谁又比谁高贵多少。
当你什么都没有的时候,那你就什么都不怕失去
预存充卡有优惠,滴滴~
望周知
Showing the 12 most recent of 18 posts we hold for @AM8319278. 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.
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 25 August 2026 — this entry's latest reading, not the date you are reading this.
“岚山老师个人频道!!!” (@AM8319278), 3,274 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/AM8319278.
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.