Telegram RegisterThe public register of Telegram
Telegram profile photo for 🦌小璐南部資訊

Channel

🦌小璐南部資訊

@app9844

On this record: Growth · Engagement · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry

53subscribers

+3 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1003739282757
TypeChannel
Username@app9844
CreatedBetween 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live22 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 22 August 2026
On Telegramt.me/app9844

Growth

505351.57 August 2026 — 50 subscribers10 August 2026 — 50 subscribers15 August 2026 — 52 subscribers22 August 2026 — 53 subscribers7 August 202622 August 2026
4 measurements spanning 15 days, net +3. 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 50–53 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 14:2853+1
15 Aug 2026, 01:2752+2
10 Aug 2026, 11:3150no change
7 Aug 2026, 05:4650first reading

Engagement

10 posts held, back to 21 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 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
7.55%
avg views ÷ 53 subscribers
Avg views / post
4.0
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 10 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 9 August 2026
Posts held10 (21 July 20269 August 2026)
Views total4
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 11:31 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 1 of the 10 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 10 most recent posts we hold, published 21 July 2026 to 9 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

9 Aug 2026, 20:40 UTC4 viewsread 10 August 2026
Photo

星星:162・C・47・24歲 🙂🦌私密小璐 🙂🦌全台資訊 🙂🦌熟女專區 🙂🦌粉嫩學生 🙂🦌成人A片 🙂🦌北部資訊 🙂🦌中部資訊 🙂🦌南部資訊 🦌小璐福利簽到群組🦌 🌐約妹聯絡小璐 @app9420 🌐約妹聯絡小璐賴➡️bj336 ⭐️Gleezy快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐️Gleezy群組: https://portaly.cc/tw68691 #臺北 #新北 #臺中 #臺南 #高中生 #新竹 #外送茶 #學生妹 #大奶 #高中生 #約炮 #高中生特價試車 #貧乳妹 #正妹兼職

26 Jul 2026, 06:06 UTC32 viewsread 10 August 2026
Photo

米琪 163cm/46/C/23歲 融化你 勞累 落寞的身心 清純白皙的臉蛋很吸引人 🙂🦌私密小璐 🙂🦌全台資訊 🙂🦌熟女專區 🙂🦌粉嫩學生 🙂🦌成人A片 🙂🦌北部資訊 🙂🦌中部資訊 🙂🦌南部資訊 🦌小璐福利簽到群組🦌 🌐約妹聯絡小璐 @app9420 ⭐️約妹聯絡小璐➡️taiwan68 🌐約妹聯絡小璐➡️bj336 ⭐️Gleezy快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐️Gleezy群組: https://portaly.cc/tw68691 #臺北 #新北 #臺中 #臺南 #高中生 #新竹 #外送茶 #學生妹 #大奶 #高中生 #約炮 #高中生特價試車 #貧乳妹 #正妹兼職

26 Jul 2026, 06:06 UTC29 views1 reactionsread 10 August 2026
Photo

絲絲 157/44/B/19歲 皮膚細嫩光滑鮮嫩多水 小穴穴超級敏感 很會夾 🙂🦌私密小璐 🙂🦌全台資訊 🙂🦌熟女專區 🙂🦌粉嫩學生 🙂🦌成人A片 🙂🦌北部資訊 🙂🦌中部資訊 🙂🦌南部資訊 🦌小璐福利簽到群組🦌 🌐約妹聯絡小璐 @app9420 ⭐️約妹聯絡小璐➡️taiwan68 🌐約妹聯絡小璐➡️bj336 ⭐️Gleezy快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐️Gleezy群組: https://portaly.cc/tw68691 #臺北 #新北 #臺中 #臺南 #高中生 #新竹 #外送茶 #學生妹 #大奶 #高中生 #約炮 #高中生特價試車 #貧乳妹 #正妹兼職

1

26 Jul 2026, 06:06 UTC17 viewsread 10 August 2026
Photo

薇安 166cm 48kg D+ 25歲 氣質魅力的女神 顏值很高 服務超級主動溫柔 很讓人享受其中 喜歡給你玩奶炮 前戲很足 不會偷時間 🙂🦌私密小璐 🙂🦌全台資訊 🙂🦌熟女專區 🙂🦌粉嫩學生 🙂🦌成人A片 🙂🦌北部資訊 🙂🦌中部資訊 🙂🦌南部資訊 🦌小璐福利簽到群組🦌 🌐約妹聯絡小璐 @app9420 ⭐️約妹聯絡小璐➡️taiwan68 🌐約妹聯絡小璐➡️bj336 ⭐️Gleezy快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐️Gleezy群組: https://portaly.cc/tw68691 #臺北 #新北 #臺中 #臺南 #高中生 #新竹 #外送茶 #學生妹 #大奶 #高中生 #約炮 #高中生特價試車 #貧乳妹 #正妹兼職

25 Jul 2026, 06:05 UTC19 viewsread 10 August 2026
Photo

小柚柚 155cm/42kg/Ccup/19歲 卡哇伊雙馬尾蘿莉 學校乖乖女 私下A片狂熱者 愛穿白色蕾絲+白襪超聽話又主動 想被反差小可愛榨乾 快來! 🙂🦌私密小璐 🙂🦌全台資訊 🙂🦌熟女專區 🙂🦌粉嫩學生 🙂🦌成人A片 🙂🦌北部資訊 🙂🦌中部資訊 🙂🦌南部資訊 🦌小璐福利簽到群組🦌 🌐約妹聯絡小璐 @app9420 ⭐️約妹聯絡小璐➡️taiwan68 🌐約妹聯絡小璐➡️bj336 ⭐️Gleezy快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐️Gleezy群組: https://portaly.cc/tw68691 #臺北 #新北 #臺中 #臺南 #高中生 #新竹 #外送茶 #學生妹 #大奶 #高中生 #約炮 #高中生特價試車 #貧乳妹 #正妹兼職

25 Jul 2026, 06:04 UTC13 viewsread 10 August 2026
Photo

雪兒 158cm.B+cup.44kg.20歲 #第一次下海兼職 ————————➡️🦌➡️——————— 🙂🦌私密小璐 🙂🦌全台資訊 🙂🦌熟女專區 🙂🦌粉嫩學生 🙂🦌成人A片 🙂🦌北部資訊 🙂🦌中部資訊 🙂🦌南部資訊 🦌小璐福利簽到群組🦌 🌐約妹聯絡小璐 @app9420 ⭐️約妹聯絡小璐➡️taiwan68 🌐約妹聯絡小璐➡️bj336 ⭐️Gleezy快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐️Gleezy群組: https://portaly.cc/tw68691 #臺北 #新北 #臺中 #臺南 #高中生 #新竹 #外送茶 #學生妹 #大奶 #高中生 #約炮 #高中生特價試車 #貧乳妹 #正妹兼職

25 Jul 2026, 06:04 UTC16 viewsread 10 August 2026
Photo

晴兒 157cm/Ccup/20歲/42kg #清純甜美正妹 鄰家女孩氣質 ————————➡️🦌➡️——————— 🙂🦌私密小璐 🙂🦌全台資訊 🙂🦌熟女專區 🙂🦌粉嫩學生 🙂🦌成人A片 🙂🦌北部資訊 🙂🦌中部資訊 🙂🦌南部資訊 🦌小璐福利簽到群組🦌 🌐約妹聯絡小璐 @app9420 ⭐️約妹聯絡小璐➡️taiwan68 🌐約妹聯絡小璐➡️bj336 ⭐️Gleezy快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐️Gleezy群組: https://portaly.cc/tw68691 #臺北 #新北 #臺中 #臺南 #高中生 #新竹 #外送茶 #學生妹 #大奶 #高中生 #約炮 #高中生特價試車 #貧乳妹 #正妹兼職

22 Jul 2026, 06:12 UTC16 viewsread 10 August 2026
Photo

#小蘿莉 小純 156cm/A奶/45kg/18歲 #幼齒嫩妹妹 很 粉 很緊 🙂🦌私密小璐 🙂🦌全台資訊 🙂🦌熟女專區 🙂🦌粉嫩學生 🙂🦌成人A片 🙂🦌北部資訊 🙂🦌中部資訊 🙂🦌南部資訊 🦌小璐福利簽到群組🦌 🌐約妹聯絡小璐 @app9420 ⭐️約妹聯絡小璐➡️taiwan68 🌐約妹聯絡小璐➡️bj336 ⭐️Gleezy快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐️Gleezy群組: https://portaly.cc/tw68691 #臺北 #新北 #臺中 #臺南 #高中生 #新竹 #外送茶 #學生妹 #大奶 #高中生 #約炮 #高中生特價試車 #貧乳妹 #正妹兼職

22 Jul 2026, 06:12 UTC15 viewsread 10 August 2026
Photo

心心 158cm/21歲/Ccup/44kg 外向開朗型 敢說敢玩愛主動 現場互動感十足 還會舔你耳朵挑逗 ————————➡️🦌➡️——————— 🙂🦌私密小璐 🙂🦌全台資訊 🙂🦌熟女專區 🙂🦌粉嫩學生 🙂🦌成人A片 🙂🦌北部資訊 🙂🦌中部資訊 🙂🦌南部資訊 🦌小璐福利簽到群組🦌 🌐約妹聯絡小璐 @app9420 ⭐️約妹聯絡小璐➡️taiwan68 🌐約妹聯絡小璐➡️bj336 ⭐️Gleezy快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐️Gleezy群組: https://portaly.cc/tw68691 #臺北 #新北 #臺中 #臺南 #高中生 #新竹 #外送茶 #學生妹 #大奶 #高中生 #約炮 #高中生特價試車 #貧乳妹 #正妹兼職

21 Jul 2026, 05:11 UTC18 viewsread 10 August 2026
Photo

貝貝 162cm C+ 46kg 24歲 #小隻美甲師,甜美又漂亮的外型迷倒了很多小鮮肉和大哥哥🥰但在他們看不到的私底下,其實她可是位饑渴小騷女呢😝主動換上情趣(兔女郎)裝扮開始誘惑你,騷度爆表💯 ————————➡️🦌➡️——————— 🙂🦌私密小璐 🙂🦌全台資訊 🙂🦌熟女專區 🙂🦌粉嫩學生 🙂🦌成人A片 🙂🦌北部資訊 🙂🦌中部資訊 🙂🦌南部資訊 🦌小璐福利簽到群組🦌 🌐約妹聯絡小璐 @app9420 ⭐️約妹聯絡小璐➡️taiwan68 🌐約妹聯絡小璐➡️bj336 ⭐️Gleezy快捷諮詢窗口APP下載 https://gleezy.net/taiwan68 一鍵加入⭐️Gleezy群組: https://portaly.cc/tw68691 #臺北 #新北 #臺中 #臺南 #高中生 #新竹 #外送茶 #學生妹 #大奶 #高中生 #約炮 #高中生特價試車 #貧乳妹 #正妹兼職

Showing the 10 most recent of 10 posts we hold for @app9844. 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 — 96,062 of 1,621,754entries 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.

Mentions

Named by 7 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 22 August 2026 — this entry's latest reading, not the date you are reading this.

“🦌小璐南部資訊” (@app9844), 53 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/app9844.

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.