工兵报告模板: https://t.me/hero5201 【推荐程度】:#超级好评 【优势】皮肤白 身材好 颜值高 【不足】胸比较小 【出击时间】:8月6日 【老师花名】:#百万 (@Anbaiwan) 【出击留名】:鲍鱼品鉴师 【开课位置】:东站 【修车水费】:1000p 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照评价】:9.5 【身材评价】:9 【胸部评价】:A罩,走的就是这个路线 【鲍鱼评价】:无敌中的无敌 嫩妹粉鲍水多 【服务评价】:嫩妹三件套,需要会玩的狼友 【态度评价】:第一眼高冷 聊开以后热情 所有都配合 【环境评价】:干净 配套齐全 就是停车不太好停 【过程描述】: #流程细节:真的很久没有遇到过这么让我心动的老师了。让我细细道来。先是在榜上看到这个老师,但是因为今天是刚入群,水不够分,所以只能原价出击看到照片是我的菜…

Channel
安叫百万
@baiwan618618
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
921subscribers
+253 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1004461459664 |
|---|---|
| Type | Channel |
| Username | @baiwan618618 |
| Created | Between 1 June 2026 and 28 July 2026— 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 | 3 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/baiwan618618 |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 14:44 | 921 | +248 |
| 7 Aug 2026, 07:53 | 673 | +5 |
| 6 Aug 2026, 20:48 | 668 | first reading |
Engagement
18 posts held, back to 28 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 1 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 66.8%
- avg views ÷ 921 subscribers
- Avg views / post
- 615
- 15 posts measured
- Reaction rate
- 0.216%
- reactions ÷ views · ER floor
- Posts in window
- 18
- 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 6 of 15 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 (28 July 2026 – 6 August 2026) |
| Views total | 9,226 |
| Reactions total | 11 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Aug 2026, 20:48 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.
Reaction mix
11 reactions across 5 posts, in 4 distinct kinds. The most used accounts for 72.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 72.7% | |
| 👍 | 1 | 9.09% | |
| 👏 | 1 | 9.09% | |
| 😁 | 1 | 9.09% |
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 6 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 11reactions 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 28 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
超级无敌棒
Photo, posted without a caption
https://t.me/hero5201 【推荐程度】: #超级好评 【优势】小小只服务很不错情绪价值拉满 【不足】无不足 【出击时间】:8月4日 【老师花名】:#百万 @Anbaiwan 【出击留名】:汽水 【开课位置】:上城区 【修车水费】:工兵pp 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照评价】:人照相似10分,可爱小女人 【身材评价】:160左右,无纹身,皮肤细嫩光滑 【胸部评价】:b-,乳头颜色正常,手感光滑 【鲍鱼评价】:粉嫩,无需润滑,毛量正常 【服务评价】:服务做全,课表上的都有 【态度评价】:服务到位,无少做,过程无机车 【环境评价】:干净,有漱口水,事前事后有清洗 【过程描述】: #流程细节:已经是二刷了,今天有空又和老师约定了时间决定出击,已经是轻车熟路了,小区环境是安全的老小区,老师刚从外面回来和老师在门口碰…
安叫百万 pinned a photo
Channel photo removed
杭州夜色🌹福利群,白嫖,半价,现金抽不停!速进群! ⬇️⬇️⬇️ https://t.me/hero5201
🔔🔔🔔🔔家人们 原价一千 直砍200,百万良心发现,立省两杯奶茶钱,性价比直接拉满! (限前20名宝宝)
❤4
早起的鸟儿有虫吃 开课啦宝贝们
🏫上课啦童鞋们
肉体和灵魂都已就位 开课啦😍
半岛嫩妹会报告模板: https://t.me/hangzhoubandao 【优势】颜值较高,情绪价值很足,女友感拉满 【不足】床小了点 【妹子花名】:#百万 【联系方式】:@Anbaiwan 【妹子年龄】:20+ 【验证留名】:AIGRORA 【验证时间】:7月29日 【大概位置】:东站附近 【修车水费】:1000p 【高端服务】:有的打✅ ① 舌吻 ✅ ② 69舔逼 ✅ ③ 情绪价值 ✅ ④ 毒龙 【人照相似】:人照9成,眼睛很大,皮肤很白,笑起来很漂亮 【身高身材】:小只马,差不多160作用,没看到纹身,皮肤紧致光滑 【凶器罩杯】:胸器对A+ 乳头小小一丢丢 【湿度紧度】:粉嫩,毛毛正常,易出水 【环境细节】:老小区高层居民楼,很方便安全 【个人卫生】:妹子抽烟,但有漱口水办事儿时没有味道,提供一次性浴巾,事前事后有清洗 【时间管理】:约的头课,课时做完, 【服务点评】:服务写的…
❤1
Showing the 12 most recent of 18 posts we hold for @baiwan618618. 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
Citation-graph rank — 742,073 of 1,481,306entries 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.
Forward network
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.
Mentions
Named by 4 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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“安叫百万” (@baiwan618618), 921 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/baiwan618618.
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.