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Channel

˚ʚ平價熟女✨技術茶ɞ˚⚜️𝑙𝑖𝑛𝑒:𝑓𝑢𝟹𝟺𝟿

@fu3492004

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

3subscribers

-1 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1002570481471
TypeChannel
Username@fu3492004
CreatedBetween 1 March 2025 and 12 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 August 2026
Last confirmed live22 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 22 August 2026
On Telegramt.me/fu3492004

Growth

343.58 August 2026 — 4 subscribers13 August 2026 — 4 subscribers16 August 2026 — 3 subscribers8 August 202616 August 2026
3 measurements spanning 8 days, net -1. 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 3–4 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 08:473-1
13 Aug 2026, 08:484no change
8 Aug 2026, 01:334first reading

Engagement

12 posts held, back to 12 July 2025the 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 · 30 days
166.7%
avg views ÷ 3 subscribers
Avg views / post
5.0
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 12 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 31 July 2026
Posts held12 (12 July 202531 July 2026)
Views total5
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 08:48 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.

Reaction mix

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 2 of the 12 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 1reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 12 July 2025 to 31 July 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

31 Jul 2026, 02:40 UTC5 viewsread 13 August 2026
Forwarded from @una079Photo

我必須每天宣傳,因為這是我的工作,關於能不能成功一看勤奮,二看緣分,勤奮我做到了,緣分看你了!

26 Jun 2026, 09:57 UTC35 viewsread 13 August 2026

最新面試資訊 晚點更新 一樣預約安排直接密 @fnu99 💕 最近天氣變化快 大家要記得天冷加衣 別感冒了 需要服務妙芙一直都在 ❤️ 不想出門的話 VIP住家服務可以安排上了💖

15 Jul 2025, 16:17 UTC125 viewsread 13 August 2026
Photo

🇹🇼【水舞 164 48 D+ 35歲】 📍 #南部推薦 #高雄推薦 😀 5000一節 😀眼神溫柔 像會照顧人的鄰家姊姊 😀喜歡被寵 也會回應你要的感覺 #本照 #台妹 #外約 •✦•·············•🦋•·············•✦• 北部班表•中部班表•南部班表 密約 LINE➕ fu349 速約 飛機 ➕@fnu99 👉 Gleez ID:fu349 (直接搜索ID加入) 全台本照選妹區 點擊加所以外約群組 •✦•·············•🦋•·············•✦• ☾ 一律見面付現金 ☽ 不唬爛不騙人 長期經營 給我1次機=自己1次安心 交給妙芙給你最專業服務

15 Jul 2025, 07:17 UTC67 views0 reactionsread 13 August 2026
Photo

🇹🇼【巧巧 158 46 C+ 38歲】 📍 #南部推薦 #高雄推薦 😀 3500一節 😀小隻馬 講話溫柔會撒嬌 😀喜歡配合節奏 還會按摩你 #本照 #台妹 #外約 •✦•·············•🦋•·············•✦• 北部班表•中部班表•南部班表 密約 LINE➕ fu349 速約 飛機 ➕@fnu99 👉 Gleez ID:fu349 (直接搜索ID加入) 全台本照選妹區 點擊加所以外約群組 •✦•·············•🦋•·············•✦• ☾ 一律見面付現金 ☽ 不唬爛不騙人 長期經營 給我1次機=自己1次安心 交給妙芙給你最專業服務

15 Jul 2025, 07:16 UTC53 viewsread 13 August 2026
Photo

🇹🇼【柔柔 160 46 C 40歲】 📍 #南部推薦 #台南推薦 😀 3000一節 😀想幹我嗎❓ 😀不嫌棄我年紀的 #本照 #台妹 #外約 ➖➖➖🦋➖➖➖ 北部班表•中部班表•南部班表 密約 😀➕ fu349 速約 😀➕@fnu99 👉 Gleez ID:fu349 (直接搜索ID加入) 全台本照選妹區 點我進入簽到福利群 所有外約群組資訊 ☾ 一律見面付現金 ☽ 不唬爛不騙人 長期經營 給我1次機=自己1次安心 交給妙芙給你最專業服務

15 Jul 2025, 07:10 UTC46 viewsread 13 August 2026
Photo

🇹🇼【婷語 167 46 C 38歲】 📍 #雙北推薦 #北部推薦 😀 5000一節 😀微熟顏值好 氣質乾淨像OL 😀輕熟感互動不尷尬 節奏舒服剛好 #本照 #台妹 #外約 ➖➖➖🦋➖➖➖ 北部班表•中部班表•南部班表 密約 😀➕ fu349 速約 😀➕@fnu99 👉 Gleez ID:fu349 (直接搜索ID加入) 全台本照選妹區 點我進入簽到福利群 所有外約群組資訊 ☾ 一律見面付現金 ☽ 不唬爛不騙人 長期經營 給我1次機=自己1次安心 交給妙芙給你最專業服務

15 Jul 2025, 03:15 UTC44 viewsread 13 August 2026
Photo

🇹🇼【文心 158 53 G 35歲】 📍 #台中推薦 #中部推薦 😀 5000一節 😀奶很撐 穿著性感但人親切 😀最喜歡黏人互動型 #本照 #台妹 #外約 ➖➖➖🦋➖➖➖ 北部班表•中部班表•南部班表 密約 😀➕ fu349 速約 😀➕@fnu99 👉 Gleez ID:fu349 (直接搜索ID加入) 全台本照選妹區 點我進入簽到福利群 所有外約群組資訊 ☾ 一律見面付現金 ☽ 不唬爛不騙人 長期經營 給我1次機=自己1次安心 交給妙芙給你最專業服務

13 Jul 2025, 05:04 UTC38 views1 reactionsread 13 August 2026
Photo

🇹🇼【櫻桃 158 49 D 23歲】 📍 #南部推薦 #台南推薦 😀 5000一節 😀素人早熟學妹 😀大奶 尺度可無套 #本照 #台妹 #外約 •✦•·············•🦋•·············•✦• 北部班表•中部班表•南部班表 密約 LINE➕ fu349 速約 飛機 ➕@fnu99 👉 Gleez ID:fu349 (直接搜索ID加入) 全台本照選妹區 點擊加所以外約群組 •✦•·············•🦋•·············•✦• ☾ 一律見面付現金 ☽ 不唬爛不騙人 長期經營 給我1次機=自己1次安心 交給妙芙給你最專業服務

1

13 Jul 2025, 05:03 UTC32 viewsread 13 August 2026
Photo

🇹🇼【小江 165 48 D 34歲】 📍 #台中推薦 #中部推薦 😀 4000一節 😀有點成熟騷味型 😀個性主動 不怕玩 喜歡撩 #本照 #台妹 #外約 ➖➖➖🦋➖➖➖ 北部班表•中部班表•南部班表 密約 😀➕ fu349 速約 😀➕@fnu99 👉 Gleez ID:fu349 (直接搜索ID加入) 全台本照選妹區 點我進入簽到福利群 所有外約群組資訊 ☾ 一律見面付現金 ☽ 不唬爛不騙人 長期經營 給我1次機=自己1次安心 交給妙芙給你最專業服務

12 Jul 2025, 15:09 UTC31 viewsread 13 August 2026
Photo

#客評 #碎片 #台南 🇹🇼【慕涵· 160/ 45 / C / 30歲】 😀 3800一節 密約 😀➕ fu349 速約 😀➕@fnu99 👉 Gleez ID:fu349 (直接搜索ID加入) •✦•·············•🦋•·············•✦• 點擊加所有外約群組

12 Jul 2025, 14:39 UTC32 viewsread 13 August 2026
Photo

#客評 #碎片 #雙北 🇹🇼【娜娜 ·165 / 48/ D / 30歲】 😀 5000一節 密約 😀➕ fu349 速約 😀➕@fnu99 👉 Gleez ID:fu349 (直接搜索ID加入) •✦•·············•🦋•·············•✦• 點擊加所有外約群組

12 Jul 2025, 14:04 UTC29 viewsread 13 August 2026
Photo

#客評 #碎片 #台中 🇹🇼【珍珍 158 45 C 23歲】 😀 5000一節 密約 😀➕ fu349 速約 😀➕@fnu99 👉 Gleez ID:fu349 (直接搜索ID加入) •✦•·············•🦋•·············•✦• 點擊加所有外約群組

Showing the 12 most recent of 12 posts we hold for @fu3492004. 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 — 1,349,626 of 1,584,733entries 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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“˚ʚ平價熟女✨技術茶ɞ˚⚜️𝑙𝑖𝑛𝑒:𝑓𝑢𝟹𝟺𝟿” (@fu3492004), 3 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/fu3492004.

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.