艺名:小米粒 地区:#番禺 标签:嫩 蛇 69 波推 三点粉 丝袜制服 视频已验证 消费: 600p 1200pp 联系:@wanglan52 频道:https://t.me/wanglan520

Channel
广州凤吟修车娱乐资源
@GZFYLB
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
22,692subscribers
+3,733 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1002585627308 |
|---|---|
| Type | Channel |
| Username | @GZFYLB |
| Description | 广州凤吟大群 https://t.me/GZFYJT 广深凤吟雷报榜 https://t.me/asdfgddddd 广州凤吟报告频道 @gzfyjubg 深圳凤吟 https://t.me/+oxZLXLYHtnowNjA0 上榜唯一管理员 @bentzi |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/GZFYLB |
Topic
Adult — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 01:39 | 22,692 | +598 |
| 17 Sept 2026, 05:21 | 22,094 | +168 |
| 15 Sept 2026, 05:37 | 21,926 | +233 |
| 13 Sept 2026, 15:39 | 21,693 | +114 |
| 11 Sept 2026, 20:42 | 21,579 | +262 |
| 9 Sept 2026, 11:19 | 21,317 | -4,778 |
| 6 Sept 2026, 04:39 | 26,095 | +25 |
| 4 Sept 2026, 00:57 | 26,070 | +139 |
| 2 Sept 2026, 12:16 | 25,931 | +84 |
| 1 Sept 2026, 09:13 | 25,847 | +94 |
| 31 Aug 2026, 07:47 | 25,753 | +76 |
| 30 Aug 2026, 10:05 | 25,677 | +95 |
| 29 Aug 2026, 08:35 | 25,582 | +1,011 |
| 28 Aug 2026, 08:07 | 24,571 | +1,639 |
| 27 Aug 2026, 09:36 | 22,932 | +1,657 |
| 26 Aug 2026, 12:48 | 21,275 | +934 |
| 25 Aug 2026, 12:32 | 20,341 | +40 |
| 24 Aug 2026, 11:06 | 20,301 | +62 |
| 22 Aug 2026, 21:17 | 20,239 | -190 |
| 21 Aug 2026, 11:48 | 20,429 | first reading |
Engagement
173 posts held, back to 6 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 60 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 1.11%
- avg views ÷ 22,692 subscribers
- Avg views / post
- 253
- 30 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 30
- of 173 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.
| Window | Rolling 30 days · latest post in window 26 September 2026 |
|---|---|
| Posts held | 173 (6 August 2026 – 26 September 2026) |
| Views total | 7,587 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 27 Sept 2026, 02:12 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
- 677
- Videos
- 109
- Links
- 128
Lifetime counters from Telegram’s own channel header, read 27 September 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
- 12m 59s
- Average length
- 11s
Measured directly from 72 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
5 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 60.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👎 | 3 | 60.0% | |
| ❤ | 2 | 40.0% |
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 173 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 5 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 173 most recent posts we hold, published 6 August 2026 to 26 September 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
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Showing the 12 most recent of 173 posts we hold for @GZFYLB. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
@WRyypyq · 4,0622 posts小心心努力版
@XLLmm1 · 1812 posts广州天河-丁丁
@dingding83571234567 · 302 posts广州天河伊娃 (98日式莞式)
@ASSD12258 · 71 post小海棠
@Ht52101channel · 681 post日本女优vs抓龙筋
@Jkhh2235 · 4951 post小婉的后花园🌸「重生版」
@Lx6069 · 3761 post广州天河超甜小允恩日常
@XiaoYErc · 3,1491 post佛山18小萝莉抓龙筋
@ahehh555 · 1,2721 post悦儿补习班
@anxin_529 · 2,3961 post佛山小呢子
@as_0521 · 51 post冰冰的朋友圈
@bingbbpy · 741 post芬达的小屋🛖
@fanta92900 · 4291 post倩倩❤️(新人)首次下海
@gdhuuuui · 1,5771 post果果的小窝
@guoguo52888 · 2,8751 post茜宝💗蜗居💗
@gzqianqian8 · 4,4911 post洋洋-朋友圈
@havgz53 · 1421 post琪琪秘密基地
@jjjdfcf · 1,0081 post琳哒的后花园
@kdhdoph · 3321 post小晴天的家
@lsy119_home · 2,2121 post露娜
@luna95223 · 1,8341 post小星个人频道
@sf34saz · 2931 post诗诗(新频道)
@shishi020 · 1,3021 post小淼的日常
@tcftbud · 61 post小可爱频道
@tiantian304818 · 2,9521 post饼干屋 提前预约o
@tututu9871 · 1161 post多多
@wangyu525 · 981 post全国莞式全套会所
@wen5253 · 21 post美美个人频道
@wtgm520 · 3,4161 post香香小公主
@xixixgz · 2091 post海珠小雪
@xixue098777 · 1,8091 post全国包养萝莉/处女/学妹(广告频道)
@xm123778 · 21 post珊珊❤️(新人首开)
@xyqq20 · 1,0721 post
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 28 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
@lotterynav · 174,1789 posts广州白云嫩妹茶茶的私密空间
@CCsmkj · 5,3312 posts日本女优vs抓龙筋
@Jkhh2235 · 4952 posts琳哒的后花园
@kdhdoph · 3322 posts小狸的朋友圈
@xiaolimli333 · 8582 postsTelegram抽奖活动
@xiu8che · 98,9882 posts小鱼的窝🐟
@YUYU0422 · 1,8262 posts朋友圈
@Dongpu2 · 2,2271 post芬达的小屋🛖
@fanta92900 · 4291 post海珠宝儿姐
@gzhzsxbej · 2,3121 post琪琪秘密基地
@jjjdfcf · 1,0081 post🌸高端车模(182)
@mdou68 · 9661 post小雅的小窝🉑外出
@qiaoxianggeren · 3701 post天河❣️极品嫩妹诗诗💋
@sn6663332 · 9941 post小可爱频道
@tiantian304818 · 2,9521 post饼干屋 提前预约o
@tututu9871 · 1161 post全国莞式全套会所
@wen5253 · 21 post广州天河温柔姐姐喻言的朋友圈
@WRyypyq · 4,0621 post禅城小翠
@xiaocui913 · 1,5191 post禅城抓龙筋笑笑
@xiaoxiao889969 · 2,0871 post广州天河超甜小允恩日常
@XiaoYErc · 3,1491 post海珠小雪
@xixue098777 · 1,8091 post小心心努力版
@XLLmm1 · 1811 post护士萱萱的小窝
@xuanxuandexiaow · 2191 post
Names
Channels on the register whose handles appear in this channel's posts.
@jisou2 · 1,814,56114 posts广州凤吟修车茶馆
@GZFYJT · 25,8066 posts广州凤吟修车茶馆备用群
@upsbbt · 4,0226 postsLotteryBest抽奖导航
@lotterynav · 174,1784 posts佛山18小萝莉抓龙筋
@ahehh555 · 1,2722 posts雯雯后花园❤️
@fs2026aa9 · 3762 posts广州🌸双子星泡泡浴、润滑浴
@jiemei168168 · 4,0312 posts自撩广佛百公里内上门 无压无定
@wananii · 1122 posts小鱼的窝🐟
@YUYU0422 · 1,8262 postsNico在金沙洲开课🀄️
@abcdef88833 · 8551 post咪咪的小屋
@amimi1568 · 2931 post佛山小呢子
@as_0521 · 51 post广州天河伊娃 (98日式莞式)
@ASSD12258 · 71 post天河苍老师
@dnk91k · 441 post海珠宝儿姐
@gzhzsxbej · 2,3121 post洋洋-朋友圈
@havgz53 · 1421 post琪琪秘密基地
@jjjdfcf · 1,0081 post海珠丽丽小窝
@lili943400z · 1,1971 post海珠,梦露(可上门)开课中
@nana20260501 · 2,5121 post玩偶家园
@wanoudoll123 · 6361 post香香小公主
@xixixgz · 2091 post茉莉~白虎~泡泡浴~剧本杀~SM~户外偷情
@youzi88588 · 3681 post又又酱的小窝ovo
@yyj20081 · 6,4091 post增城(兮兮小世界)
@zzmm123321 · 8371 post
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.
Handles this channel named that no longer answer
- Dead references
- 1
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 1
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 0
- vacant every time we have ever looked
@GZFYLB named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Evidenced gone
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
named in 1 post, 3 September 2026 – 3 September 2026 · confirmed gone 13 September 2026 (two independent sightings — see how we confirm a dead handle)evidenced
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 September 2026 — this entry's latest reading, not the date you are reading this.
“广州凤吟修车娱乐资源” (@GZFYLB), 22,692 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/GZFYLB.
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.