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Channel

广州亚洲一号娱乐榜

@yazhouyhao2

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

32,304subscribers

-3,706 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001875942173
TypeChannel
Username@yazhouyhao2
Description上榜管理员 @yzyhlx 亚洲一号交流群 :https://t.me/yazhouyihao1 备用群:https://t.me/gzyzyh
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live26 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 26 September 2026
On Telegramt.me/yazhouyhao2

Topic

Other / unclassifiable — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 68% 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.

Growth

32,30436,01034,1576 August 2026 — 36,010 subscribers7 August 2026 — 35,939 subscribers7 August 2026 — 35,665 subscribers8 August 2026 — 35,732 subscribers9 August 2026 — 35,610 subscribers10 August 2026 — 35,342 subscribers12 August 2026 — 34,802 subscribers13 August 2026 — 33,491 subscribers14 August 2026 — 33,622 subscribers15 August 2026 — 33,695 subscribers16 August 2026 — 34,688 subscribers17 August 2026 — 34,640 subscribers19 August 2026 — 34,247 subscribers20 August 2026 — 34,489 subscribers21 August 2026 — 34,465 subscribers22 August 2026 — 34,044 subscribers24 August 2026 — 33,773 subscribers25 August 2026 — 33,743 subscribers26 August 2026 — 33,941 subscribers27 August 2026 — 33,864 subscribers28 August 2026 — 33,541 subscribers29 August 2026 — 33,368 subscribers30 August 2026 — 33,288 subscribers31 August 2026 — 33,198 subscribers1 September 2026 — 33,107 subscribers2 September 2026 — 33,045 subscribers3 September 2026 — 32,964 subscribers5 September 2026 — 34,866 subscribers8 September 2026 — 34,667 subscribers11 September 2026 — 34,388 subscribers13 September 2026 — 33,803 subscribers15 September 2026 — 33,541 subscribers16 September 2026 — 33,177 subscribers19 September 2026 — 32,979 subscribers26 September 2026 — 32,304 subscribers6 August 202626 September 2026
35 measurements spanning 51 days, net -3,706. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 31,748–36,566 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
26 Sept 2026, 14:3932,304-675
19 Sept 2026, 10:3632,979-198
16 Sept 2026, 23:3633,177-364
15 Sept 2026, 02:2133,541-262
13 Sept 2026, 10:1533,803-585
11 Sept 2026, 12:2134,388-279
8 Sept 2026, 21:3934,667-199
5 Sept 2026, 14:0034,866+1,902
3 Sept 2026, 15:0032,964-81
2 Sept 2026, 11:1633,045-62
1 Sept 2026, 12:1233,107-91
31 Aug 2026, 11:1333,198-90
30 Aug 2026, 09:0633,288-80
29 Aug 2026, 07:0733,368-173
28 Aug 2026, 06:5433,541-323
27 Aug 2026, 09:4533,864-77
26 Aug 2026, 10:2733,941+198
25 Aug 2026, 12:1433,743-30
24 Aug 2026, 09:5733,773-271
22 Aug 2026, 14:0834,044first reading

Engagement

74 posts held, back to 30 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 106 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.24%
avg views ÷ 32,304 subscribers
Avg views / post
1,050
36 posts measured
Reaction rate
0.091%
reactions ÷ views · ER floor
Posts in window
36
of 74 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 10 of 36 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 1 October 2026
Posts held74 (30 July 2026 – 1 October 2026)
Views total37,631
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken1 Oct 2026, 22:26 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

Photos
≈2,310
Videos
≈266
Links
≈207

Lifetime counters from Telegram’s own channel header, read 1 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
3m 36s
Average length
10s

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.

Reaction mix

13 reactions across 13 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤13100.0%

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 14 of the 74 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 13 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 74 most recent posts we hold, published 30 July 2026 to 1 October 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

1 Oct 2026, 16:00 UTC35 viewsread 1 October 2026

抽奖广州蜜桃老师福利(编号L179074315258)已成功开奖: 创建人:老许[6690207976] 已参与人数:612 中奖名单如下: 派[6595977314](奖品为包夜优惠劵300) 养猫的鱼[7073576369](奖品为1p优惠劵100) 自言自语[7230881270](奖品为1p优惠劵100) 风流他祖宗[7251251783](奖品为2p优惠劵200) 哟没有梦想的咸鱼[7298608807](奖品为包夜优惠劵300) sand[7339725190](奖品为2p优惠劵200) 不如吃茶去[7394988746](奖品为包夜优惠劵300) 麻辣王子[7405559474](奖品为包夜优惠劵300) 赫本的时候[7502216511](奖品为1p优惠劵100) 嘴是两张皮[7504647917](奖品为2p优惠劵200) 你的相册[7548672780](奖品为1p优惠劵100) 脉停息助[758556668…

1 Oct 2026, 16:00 UTC29 viewsread 1 October 2026

抽奖广州奶霸老师福利(编号L179074334582)已成功开奖: 创建人:老许[6690207976] 已参与人数:1358 中奖名单如下: 半̌杯̌烈̌酒̌[7112055292](奖品为2p优惠劵300) 蓝色蜘蛛人[7352780086](奖品为1p优惠劵200) 刘翊珉[7413799850](奖品为包夜优惠劵500) 老派味十足[7578147974](奖品为包夜优惠劵500) 斑马还没睡[7658329455](奖品为2p优惠劵300) 月亮被我啃了[7919638780](奖品为1p优惠劵200) 幸存者[7958477283](奖品为1p优惠劵200) kuroma[7977219911](奖品为1p优惠劵200) 唯一者[8138421704](奖品为2p优惠劵300) 玩偶弟弟[8146739295](奖品为2p优惠劵300) 骑着老奶奶过马路[8166119185](奖品为1p优惠劵200) 比英国还英[…

30 Sept 2026, 05:11 UTC177 views1 reactionsread 1 October 2026
Photo

艺名:御姐女王梨子 已经视频认证 地区:#天河区 联系方式 :@lizils2 双向: @lizils22_bot 课表照片频道 :https://t.me/lizils8 课费 :800p 1500pp 👑标签:#御姐女王 鸳鸯浴 #69 #水中箫 #毒龙 #舌吻 #无套口 #丝袜 #胸推 #大长腿 #明星气质

❤1

30 Sept 2026, 04:47 UTC≈1,590 viewsread 1 October 2026
Photo

🎁更多抽奖 https://t.me/xiu8che 🎟️ 抽奖标题:广州花店老板娘福利 📪抽奖说明:中奖者机器人会发送中奖信息 中奖截图联系:@huals88 🎫 参与条件: 🎫 加入-广州04年花店老板娘38D🌹 🎫 加入-广州亚洲一号娱乐榜 🎫 加入-广州亚洲一号 🎁 奖品内容: 💰️ 包夜优惠劵500 × 8 💰️ 2p优惠劵300 × 8 💰️ 1p优惠劵200 × 8 💰️ 10元口令红包 × 1 📅 开奖时间:2026-10-03 00:00自动开奖 👉 参与抽奖链接: https://t.me/tgLotteryuw8bot?start=join-L179074351941

30 Sept 2026, 04:45 UTC≈1,560 viewsread 1 October 2026
Photo

🎁更多抽奖 https://t.me/xiu8che 🎟️ 抽奖标题:广州奶霸老师福利 📪抽奖说明:中奖者机器人会发送中奖信息 中奖截图联系:@naiba13 🎫 参与条件: 🎫 加入-广州顶流奶霸频道❤️ 🎫 加入-广州亚洲一号娱乐榜 🎫 加入-广州亚洲一号 🎁 奖品内容: 💰️ 2p优惠劵300 × 8 💰️ 包夜优惠劵500 × 3 💰️ 1p优惠劵200 × 8 💰️ 10元口令红包 × 1 📅 开奖时间:2026-10-02 00:00自动开奖 👉 参与抽奖链接: https://t.me/tgLotteryuw8bot?start=join-L179074334582

30 Sept 2026, 04:41 UTC≈1,550 viewsread 1 October 2026
Photo

🎁更多抽奖 https://t.me/xiu8che 🎟️ 抽奖标题:广州蜜桃老师福利 📪抽奖说明:中奖者机器人会发送中奖信息 中奖截图联系:@mitao822 🎫 参与条件: 🎫 加入-广州天河BBW蜜桃🍑专属私域福利 🎫 加入-广州亚洲一号娱乐榜 🎫 加入-广州亚洲一号 🎁 奖品内容: 💰️ 包夜优惠劵300 × 5 💰️ 2p优惠劵200 × 6 💰️ 1p优惠劵100 × 8 💰️ 10元口令红包 × 1 📅 开奖时间:2026-10-02 00:00自动开奖 👉 参与抽奖链接: https://t.me/tgLotteryuw8bot?start=join-L179074315258

30 Sept 2026, 04:39 UTC≈1,560 viewsread 1 October 2026
Photo

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29 Sept 2026, 07:52 UTC≈1,600 viewsread 1 October 2026
Photo

💋 花名: #二次元小魔女 #已认证 ✨ 坐标: #天河区 ✈️ 私聊: @xmn0505 💌 频道: @dcnil19 👀双向:@dcstiu_bot 报告:@xmv9901 💰 课费: #800p-1500pp 👑标签:#SM #69互舔 #深喉 #陪浴 #水中箫 #波推 #制服 #剧本杀 #日本AV #车震 #配合

26 Sept 2026, 14:18 UTC≈1,700 viewsread 1 October 2026
Video

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26 Sept 2026, 06:45 UTC170 viewsread 29 September 2026
Photo

💋 花名:#小萝莉甜甜 #已认证 ✨ 坐标: #天河区 ✈️ 私聊: @xiaoluoli6 💌 频道: @xttluol1 👀双向: @fjjbn_bot 报告:@luoli2318 QQ: 848437498 💰 课费: #800p-1400pp 👑标签:#御姐 #深喉 #毒龙 #口爆 #长腿 #肤白 #配合

26 Sept 2026, 05:25 UTC≈1,470 viewsread 29 September 2026
Photo

🎁更多抽奖 https://t.me/xiu8che 🎟️ 抽奖标题:广州爱丽莎老师福利 📪抽奖说明:中奖者机器人会发送中奖信息 中奖截图联系:@ailisha9 🎫 参与条件: 🎫 加入-广州爱丽莎中韩一线天🍰 🎫 加入-广州亚洲一号娱乐榜 🎫 加入-广州亚洲一号 🎁 奖品内容: 💰️ 包夜优惠劵500 × 8 💰️ 2p优惠劵300 × 8 💰️ 1p优惠劵200 × 8 💰️ 10元口令红包 × 1 📅 开奖时间:2026-09-29 00:00自动开奖 👉 参与抽奖链接: https://t.me/tgLotteryuw8bot?start=join-L179040018402

24 Sept 2026, 06:12 UTC≈1,510 viewsread 28 September 2026
Photo

艺名: #38E瑶瑶公主 地区: #广州#天河 价格:800P —1500PP 💬资料: 身高171 体重50KG 胸38E 联系: @yaols11 频道:@yy168d QQ:3838854637 机器人 : @dbjdjs8i_bot #69 #长腿 #肤白 #舌吻 #嫩妹

Showing the 12 most recent of 74 posts we hold for @yazhouyhao2. 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.

Mentions

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.

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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“广州亚洲一号娱乐榜” (@yazhouyhao2), 32,304 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/yazhouyhao2.

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.