Channel
@alangbaogao
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,483subscribers
+23 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1002357169697 |
|---|---|
| Type | Channel |
| Username | @alangbaogao |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/alangbaogao |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 20:43 | 2,483 | +9 |
| 14 Aug 2026, 09:28 | 2,474 | +11 |
| 8 Aug 2026, 11:06 | 2,463 | +3 |
| 7 Aug 2026, 18:47 | 2,460 | no change |
| 7 Aug 2026, 18:30 | 2,460 | first reading |
17 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 1 pageof 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 5 of 17 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 17 (1 August 2026 – 7 August 2026) |
| Views total | 8,473 |
| Reactions total | 2 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 18:47 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.
2 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 2 | 100.0% |
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 5 of the 17 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 2reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 1 August 2026 to 7 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.
兰蔻江苏妹子，身高168天然F女友感妹子，皮肤白嫩细腻，有大蟒🐍，有69，说话轻声细语，口活也是轻拿轻放，舌尖来回游走，时不时整根含住！还问你有什么要求尽管说。女上开局包裹感明显，跪式上下抽动，滋滋冒水，力竭换传教式可以🐍到饱，还会主动按着你的后脑勺，让你无法挣脱，另一只手扶着你屁股往她身上怼，女友感拉满；后入也是床边和镜子前来回切换，最后力竭出水！说很久没这么爽了！还相拥聊了一会，说这边隔音不好不敢大声叫！
兰蔻太棒了，身穿白色透视装，身材很顶，胸很大，摸起来好舒服，口活一流，感谢🙏
兰蔻，江苏南京妹子，身材超棒的，非常配合，皮肤白，超大真胸，进门就大蟒🐍，口技超好，水超多，情绪价值拉满，必须再二刷，狼友可以闭眼冲。
📜【妖谱档案】 【妖名】：酒窝 @YaoJjiuwo 【出没之地】：剑气长城·城北 【供奉】：8锭官银 【所属一脉】：体修妖、余韵流 🏆【境界评定】 😁容颜境（颜值）：14镜｜照片8分像，能看出来是本人。做前把头发盘起来感觉更好看了。 😁体魄境（身材）：14镜｜皮肤好白，通体白。身高165差不多，身材丰腴，肉紧实，B+胸。屁股嘟感非常舒适。完美炮架。没啥毛毛，看着很干净，逼里暖暖的，非常想征服，只可惜今天痿了，面对这种炮架，只嘟了一半。好难过。谁有药赐一颗。 😁媚术境（互动/氛围）：13镜｜简单互动，但可以让人放松下来。知性御姐。浴室太小，站不下两个人。 😁技法境（服务）：13镜｜3件套，加了个蛇纹。我没敢太沉浸蛇，蛇了4秒，阿良名声在外，怕出事故。 😁心境（态度）：14镜｜态度挺随和，主动搭话，姿势都挺配合，不会踩坑，大胆冲。 ⚔️【问剑经过】 吾乃阿良，十三镜巅峰纯粹剑修。 今日城北初来妖修酒窝，阿良观其道韵…
【出击留名】：DY 【出击时间】：2026年8月 【老师艺名】：#酒窝 【联系方式】：@YaoJjiuwo 【上课费用】：8 【颜值身材】： 人照一致，前凸后翘且好白 【身高体重】：168/50kg 【胸杯紧度】： C应该有，大白软，真凶 【老师类型】： #御姐 【服务种类】：课表都有 【情绪态度】：热情 【优点缺点】： ①缺点：暂无 ②优点： 性感御姐，白嫩，凹凸有致，口活一级棒，舌头很软 【过程】： 群里闲逛发现一位大圈兼职，看对眼了就约上出击，教室复式小楼还挺有情调的，主要是一进门就被酒窝老师的颜值身材打动了，想想等会要交缠在一起就兴奋，赶紧洗澡，老师皮肤又白又滑，大白兔弹且软，游遍全身简直销魂，口活也是一流，而且下面水好多，换姿势的时候发现奔流不息，又紧又暖，可惜只约到p，下次得pp到爽. 报告仅供参考，请理性选择， 哥布林切勿对号入座的
兰蔻，江苏妹子很不错，进门就面带微笑，然后也很温柔的配合我，吹工很棒，胸很大，皮肤白，很满意👍谢谢安排
兰蔻，颜值很高，前凸后翘，两个胸又大又挺，像水蜜桃一样摸起来软软的，情绪价值很满足，服务也好，声音很好听，像台湾人，不愧是香港红牌，过两天还来
兰蔻，南京妹子，169，110，天然D+，少御类型，偏黄皮，皮肤Q弹，有69，有大蟒🐍，有毒🐉，ab面吸皮！口活无齿感，痘痘是开关，会滋滋冒水，女上开局包裹不错，会主动送奶吃，主动大蟒🐍；后入大蜜桃臀，配合小皮鞭抽的嗷嗷直叫；传教式也是搔首弄姿，爸爸叫不停！最后力竭出水！港澳老师就是专业，进入状态快，也是大车，骚劲和爆爆比还是差了一档，不是很耐嘟！
【出击报告】 泉州阿郎报告模板：https://t.me/alangpinjian 地址：# 大侠留名： 上课日期： 8.5 老师系方式：兰蔻 〖修车花费〗： 800p 〖颜值〗 :9.5 〖身高〗:168 〖胖瘦〗:s型身材 〖凶器〗:真凶F 〖态度服务〗:红牌服务 〖老师类型〗:御姐 可爱 你想要的都有 〖优点缺点〗:情绪价值高 服务一流 颜值佳佳 【出击体验】 ：非常享受 明天再来 【等级评价】：#SS 评价等级分为 #S级 #神车 #大众车 #家用车 #雷车 （等级中间可以➕/➖代表增值） （加短评即可） 【报告仅代表个人感受·切勿对号入座】
【老师花名】：欧媛 【验证留名】：Vee 【验证时间】：8.4 【大概位置】：晋江 【修车水费】：10p 【身高体重】：165 【老师年龄】：嫩妹 【湿度紧度】： 水多紧 【人照相似】：89成 【凶器罩杯】：A-B 【皮肤情况】：光滑 【老师优点】：屌感紧包裹湿润 【老师缺点】：有几处符文 【推荐评分】：极品 【出击体验】：江苏嫩妹小嫩芽，穿着小黑丝迎接我，颜值不错，跟冰星悦差不多水平，还是学生，暑假出来干兼职的，本以为是个青涩嫩妹想不到床上却很反差，服务从咪咪亲到大腿，对着蛋蛋又含又舔，然后含住肉棒猛猛深喉，有一下都把她自己怼干呕了，小舌头跟个螺旋桨一样飞速旋转照顾着牛牛，另外，妹子是大蟒🐍，吻技异常凶猛亲到窒息，也不知道谁给小妹妹调成这样，只能说前人种树后人乘凉了，硬件服务都有的嫩妹不容错过 【温馨提示】：上课报告模版仅代表个人观点，仅供参考。 ——————————————————— 1—5分 残次品 6分 差品（…
四刷芙朵，酣畅淋漓的大战之后后背已经有些虚汗，不得不说这妖艳的花朵太勾人了，赞👍🏻就一个字我只说一次🥳
Photo, posted without a caption
Showing the 12 most recent of 17 posts we hold for @alangbaogao. 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 — 509,117 of 1,548,671entries 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.
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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“阿狼报告🐺” (@alangbaogao), 2,483 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/alangbaogao.
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.