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Telegram profile photo for 菲菲的广州花园

Channel

菲菲的广州花园

@guangzhoufeifei

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

322subscribers

-13 since we began measuring on 19 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004393124628
TypeChannel
Username@guangzhoufeifei
CreatedBetween 1 June 2026 and 29 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded19 August 2026
Last confirmed live27 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 27 August 2026
On Telegramt.me/guangzhoufeifei

Growth

322335328.519 August 2026 — 335 subscribers19 August 2026 — 335 subscribers20 August 2026 — 332 subscribers27 August 2026 — 322 subscribers19 August 202627 August 2026
4 measurements spanning 8 days, net -13. 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 320–337 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
27 Aug 2026, 22:23322-10
20 Aug 2026, 00:17332-3
19 Aug 2026, 11:45335no change
19 Aug 2026, 11:30335first reading

Engagement

20 posts held, back to 29 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
204.5%
avg views ÷ 322 subscribers
Avg views / post
659
2 posts measured
Reaction rate
0.139%
reactions ÷ views · ER floor
Posts in window
2
of 20 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 1 of 2 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 3 August 2026
Posts held20 (29 July 20263 August 2026)
Views total1,317
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken19 Aug 2026, 11:45 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

Video runtime
11s
Average length
11s

Measured directly from 1 video 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

6 reactions across 5 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6100.0%

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 20 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 6 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 29 July 2026 to 3 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

2 Aug 2026, 15:14 UTC720 views1 reactionsread 19 August 2026

【嫩妹报告】https://telegram.me/GZNMHEJI 【老师艺名】菲菲 【联系方式】@keaidekeke88 【所在位置】天河 【验证留名】OO TD 【验证时间】8.2 【修车费用】1500 【颜值身材】9分 校花颜值 前凸后翘,美丽的容颜,性感迷人的身材 【服务内容】服务非常棒 【服务态度】夯 【优点缺点】🐍69都很配合,小穴紧致水多,日感非常棒 【推荐程度】超级推荐 【体验细节】菲菲长得很好看,性格很好,人很温柔,真的非常嫩,软软糯糯的,很爱笑,讲话很好玩,身材也很棒,穿搭是可爱休闲风,🐻 适中一手抓屁股大。上半身瘦瘦的,下半身肉肉的,肉腿穿吊袜真的很性感,身上又嫩又滑, 三点粉, 乳头很粉,白虎小蝴蝶形状很美,粉嫩紧致。 菲菲爱爱反馈很棒,很敏感的,很容易有那种潮吹抖动感,看她受不了的样子,我也忍不住想要给她,结束后小心翼翼的擦拭,起身递水,贴着一起聊天很放松 喜欢女友感邻家感嫩妹的冲就好了,绝对不会失

1

1 Aug 2026, 14:55 UTC846 views1 reactionsread 19 August 2026
Photo

✨ 命运揭晓时刻 ✨ 广州茶馆-菲菲半价券 开奖了 抽奖人数:315,抽奖号数:522 1. VIP(必中版)【祝福20次】 中得:p半价券(必须写报告) 抽奖说明: 1:刷屏、灌水、纯表情、复制粘贴、无意义对话、删除消息等,一律视为无效发言,取消中奖资格!请用心交流! 2:中奖后7天内出击,完成必须写报告!没出报告的拉黑抽奖! 兑奖 @keaidekeke88 🔍 杜绝黑幕,点击查看本次开奖全程验证

1

1 Aug 2026, 09:00 UTC828 viewsread 19 August 2026
Photo

🎉🎉🎉 开奖通知 🎉🎉🎉 🔖 防伪编号:H178531308084 🎰 广州繁花出击群 半价福利 ⚠️ 抽奖说明: 1. 优惠卷中奖请在24小时之内联系老师, 2. 5天之内出击。出击完,提交报告。 3. 优惠卷不能私自转让,出售等违者永久拉黑! 4. 炸号者无效 兑奖联系老师 💁 参与人数:96人 🎅 联系领奖:@keaidekeke88 1. Hez 奖品:天河菲菲 @keaidekeke88 单P半价 祝大家心想事成好运连连!

1 Aug 2026, 01:05 UTC742 viewsread 19 August 2026

今天头课在 🉑夜 只有4个位置 需要的宝宝们赶紧联系啦

31 Jul 2026, 02:38 UTC820 viewsread 19 August 2026

今天疯狂周五 有想夜的宝宝吗 可以睡到自然醒咯

Showing the 12 most recent of 20 posts we hold for @guangzhoufeifei. 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 — 1,504,999 of 1,629,518 entries 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 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 27 August 2026 — this entry's latest reading, not the date you are reading this.

“菲菲的广州花园” (@guangzhoufeifei), 322 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/guangzhoufeifei.

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.