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Channel

广州风花雪月鸟

@liehuoniao1024

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Handles named that no longer answer · Cite this entry

8,835subscribers

+2,575 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-1002728070207
TypeChannel
Username@liehuoniao1024
Description本频道纯属个人真实记录,仅供自己留念,不构成任何推荐或邀约。 商业推广请联系机器人: @liehuoniao_bot
CreatedBetween 1 June 2025 and 30 September 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live6 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/liehuoniao1024

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 77% 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 the other topics.

Growth

6,2608,8357,547.57 August 2026 — 6,260 subscribers8 August 2026 — 6,261 subscribers10 August 2026 — 6,283 subscribers14 August 2026 — 6,358 subscribers17 August 2026 — 6,894 subscribers20 August 2026 — 6,940 subscribers24 August 2026 — 6,980 subscribers27 August 2026 — 7,022 subscribers30 August 2026 — 7,065 subscribers1 September 2026 — 7,072 subscribers5 September 2026 — 7,111 subscribers10 September 2026 — 7,135 subscribers14 September 2026 — 7,154 subscribers19 September 2026 — 7,215 subscribers29 September 2026 — 7,601 subscribers6 October 2026 — 7,898 subscribers13 October 2026 — 8,041 subscribers16 October 2026 — 8,143 subscribers19 October 2026 — 8,205 subscribers22 October 2026 — 8,420 subscribers26 October 2026 — 8,596 subscribers28 October 2026 — 8,653 subscribers31 October 2026 — 8,721 subscribers3 November 2026 — 8,768 subscribers6 November 2026 — 8,835 subscribers7 August 20266 November 2026
25 measurements spanning 91 days, net +2,575. 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 5,874–9,221 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
6 Nov 2026, 15:458,835+67
3 Nov 2026, 20:208,768+47
31 Oct 2026, 21:288,721+68
28 Oct 2026, 18:298,653+57
26 Oct 2026, 00:308,596+176
22 Oct 2026, 21:218,420+215
19 Oct 2026, 09:358,205+62
16 Oct 2026, 12:378,143+102
13 Oct 2026, 03:048,041+143
6 Oct 2026, 13:007,898+297
29 Sept 2026, 16:217,601+386
19 Sept 2026, 05:197,215+61
14 Sept 2026, 10:387,154+19
10 Sept 2026, 15:387,135+24
5 Sept 2026, 12:407,111+39
1 Sept 2026, 20:037,072+7
30 Aug 2026, 04:587,065+43
27 Aug 2026, 09:497,022+42
24 Aug 2026, 11:366,980+40
20 Aug 2026, 15:026,940first reading

Engagement

35 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 20 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
36.4%
avg views ÷ 8,835 subscribers
Avg views / post
3,220
12 posts measured
Reaction rate
0.07%
reactions ÷ views · ER floor
Posts in window
12
of 35 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 9 of 12 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 6 November 2026
Posts held35 (1 August 2026 – 6 November 2026)
Views total38,630
Reactions total22
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 11:05 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
903
Videos
179
Links
323

Lifetime counters from Telegram’s own channel header, read 7 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
1m 40s
Average length
8s

Measured directly from 12 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

54 reactions across 23 posts, in 5 distinct kinds. The most used accounts for 81.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤4481.5%
👍59.26%
🔥23.70%
🤔23.70%
👏11.85%

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 28 of the 35 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 54 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 35 most recent posts we hold, published 1 August 2026 to 6 November 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

Telegram’s own ‘edited’ marker: 1 of 12 posts held from the last 30 days (8.33%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

6 Nov 2026, 19:37 UTC≈1,390 viewsread 7 November 2026

钱难赚屎难吃,忙到现在从东莞打车回广州

5 Nov 2026, 15:06 UTC≈3,360 views4 reactionsread 7 November 2026
Photo

❤️❤️❤️SSS老师品鉴❤️❤️❤️ #珂珂 @keke270 36C真胸,笑起来有小虎牙,古灵精怪的妹妹回来开课了,本人三返过,唯一浴血奋战过的女人,详情参考三返浴血奋战报告。 PS:也许是报应,上次和她中途出血,这次和其他妹妹前戏我唧唧受伤出血,大家代替我去照顾下妹妹吧

❤3🤔1

4 Nov 2026, 16:48 UTC≈4,760 views4 reactionsread 7 November 2026
Photo

〰️〰️〰️〰️🫠🫠〰️〰️〰️〰️ 💞南沙95会所 | 东涌店 · 金州大店 全程真空接近全裸要穿小裙子内裤脱,诱惑调情互动(可选丝袜),窃窃私语诱惑,西施磨磨,热辣滚烫全身嘴👄热水过水,技师舌尖环游全身,波涛汹涌波推全身,媚娘乳交,玉手观音,十指连心,高山流水,冰🔥两重天,真舌钻毒龙舌头伸进屁眼里,海底捞月,69式,舔胸,舔蛋蛋,舔手,跪式吹箫,深喉(鸡鸡全吃完),模拟做爱姿势吹,回龙萧,最后推拿大法帮客人按摩放松筋骨 🙈口爆A课: 门店价5️⃣6️⃣9️⃣ 部长预约价4️⃣9️⃣9️⃣ 会员价4️⃣5️⃣9️⃣ 【60-70分钟出水一次】 🙈口爆B课: 门店价7️⃣1️⃣9️⃣ 部长预约价5️⃣8️⃣9️⃣ 会员价5️⃣5️⃣9️⃣ 【80-90分钟出水两次】 📌地址: 1.南沙东涌普通店 95会所 2.南沙金州大店 95会所 🌈联系方式: 🔥联系部长:@Xiaofang_95👍 🔥双向机器人 :@F61314_…

❤4

4 Nov 2026, 00:30 UTC≈4,130 views2 reactionsread 7 November 2026
Photo

我朋友的Sbaer机器人炸了,他说问题不大,数据都在服务器上,大家晚点水群,晚点上备用机器人。 另外有炸号的老师可以找我申诉,目前战绩96%,唯一失败的一个号 @mantou123456789 ,虽然申诉成功,但官方给我踢出设备和二级密码了,搞得我登录不了,勉强算一败绩吧。 PS:有真实案例做模板,AI会结合你账号的实际情况,秒给出最优申诉模板,专业的事,请找专业的人

❤2

3 Nov 2026, 05:23 UTC≈3,950 views2 reactionsread 7 November 2026
Photo

❤️❤️❤️SSS老师品鉴❤️❤️❤️ #甜菜 @tiancaibb 高颜值、筷子腿、玉手玉足、A4腰、口活好、情绪价值和情商俱佳。 详情参考本人报告一 报告二

❤1🤔1

3 Nov 2026, 01:21 UTC≈3,480 views2 reactionsread 7 November 2026
Forwarded from @gushi1024Photo

昨天抽奖才发现,名师妞妞也被盗图了,同城开课都能被盗,也是人才。 更离谱的是,还有5个群给她上榜并发抽奖,阿猫阿狗都能随便上榜,你们的榜单质量还要不要了? PS:承认审核不严并下榜,可以联系我机器人下你们的榜单照片

👍2

2 Nov 2026, 15:59 UTC≈2,520 views2 reactionsread 5 November 2026

蛮有差异化的一个群,有小程序APP,适合选老师出击,方便大家就近找老师; 另外氪金榜这个创意,资源投入侧重真正出击写报告,而非水群羊毛党优先; 出击越多奖励越多,吸引玩家和老师常驻,更能做到良性循环,值得广州很多群组借鉴。

👍2

2 Nov 2026, 15:44 UTC≈2,560 views5 reactionsread 5 November 2026
Photo

😀聊天群: @gzbbb 😀名师榜: @gzwww 👩‍🎓 郑重承诺: 高质量/真老师/真学生/活跃社区,若您在【广州学院】联系的老师货不对板,被骗定金,群主: @gz222 担保赔付!进群参加现金红包🧧千元出击费💰! 立即加入👆

❤2🔥2👍1

2 Nov 2026, 10:28 UTC≈2,630 views0 reactionsread 5 November 2026
Photo

❤️❤️❤️SS老师品鉴❤️❤️❤️ #沐甜 @Mtianii 重庆小嫩妹,本人三反过,大蟒蛇,小话痨一个,做爱的时候嘴巴都不停…… 详情参考三返报告

30 Oct 2026, 09:55 UTC≈3,840 views1 reactionsread 3 November 2026
Photo

❤️❤️❤️SS老师品鉴❤️❤️❤️ #白云小宝贝 xbaobei6688 大胸嫩妹,腺体胸很有弹性,皮肤白,养了一只调皮的猫,口的时候一手撸猫,一手摸胸,非常有感觉。详情参考去年出击报告 PS:妹子硬件蛮好的,就是话不多,需要你主动点

❤1

Showing the 12 most recent of 35 posts we hold for @liehuoniao1024. 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.

Posts recorded as deleted after publishing

We recorded 1 post on @liehuoniao1024 as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
3 November 2026
Most recent seen missing
3 November 2026
Median time before seen missing
44 hours
Seen missing in the last 30 days
1

Forward network

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.

Mentions

Named by 3 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.

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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“广州风花雪月鸟” (@liehuoniao1024), 8,835 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/liehuoniao1024.

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.