Telegram RegisterThe public register of Telegram
Telegram profile photo for @Localgirs 尖沙咀 港島

Channel

@Localgirs 尖沙咀 港島

@VeronaNew

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

4,348subscribers

+57 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-1001396021571
TypeChannel
Username@VeronaNew
CreatedBetween 1 September 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live25 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 25 August 2026
On Telegramt.me/VeronaNew

Growth

4,2904,3484,3197 August 2026 — 4,291 subscribers7 August 2026 — 4,291 subscribers7 August 2026 — 4,290 subscribers11 August 2026 — 4,297 subscribers13 August 2026 — 4,318 subscribers16 August 2026 — 4,316 subscribers19 August 2026 — 4,324 subscribers22 August 2026 — 4,336 subscribers25 August 2026 — 4,348 subscribers7 August 202625 August 2026
9 measurements spanning 18 days, net +57. 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 4,281–4,357 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Aug 2026, 17:054,348+12
22 Aug 2026, 21:074,336+12
19 Aug 2026, 21:374,324+8
16 Aug 2026, 22:134,316-2
13 Aug 2026, 23:374,318+21
11 Aug 2026, 01:024,297+7
7 Aug 2026, 18:364,290-1
7 Aug 2026, 17:314,291no change
7 Aug 2026, 17:274,291first reading

Engagement

10 posts held, back to 7 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 4 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
0.575%
avg views ÷ 4,348 subscribers
Avg views / post
25.0
10 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
10
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 8 August 2026
Posts held10 (7 August 20268 August 2026)
Views total250
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 11:57 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
12s
Average length
12s

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.

Recent posts

8 Aug 2026, 10:57 UTC6 viewsread 8 August 2026
Photo

#Puff 172cm Dcup 尖沙咀酒店 长腿後生巨乳靚呦女 全能服务王+纯欲系列 可以拍摄颜射 服務:大車 69 口爆 深喉 毒龙 環保吹 波推臀推水蕭陪沖涼 有高跟鞋 絲襪 性感制服😆😆有學生制服 /JK小短裙。絲襪,呦+淫+騷 極品服務王 🌟可上門服務,可過夜服務🌟 客服:@Correctbookin ☎️WhatsApp:http://wa.me/52201479

8 Aug 2026, 10:56 UTC6 viewsread 8 August 2026
Photo

# Lee 尖沙咀酒店 170cm Dcup 20yr 高質素女女 純天然牛乳 服務:有大車 69 環保吹 波推 臀推 水蕭 陪沖涼 第一次来港 新鲜面孔 高跟鞋 絲襪 性感制服 / 白T /jk服/小短裙 各式各样的制服,可以换住屌 学生服 初黎港 纯美甜美天然校花级别T 主動熱情 明星气质 样靓 天然大波 服务掂 🌟可上門服務,可過夜服務🌟 相簿photos:https://t.me/VeronaNew 客服:@Correctbookin ☎️WhatsApp:http://wa.me/97256680

8 Aug 2026, 08:51 UTC22 viewsread 8 August 2026
Photo

# 兔兔🐰 168cm Dcup 21yr 长腿後生巨乳靚呦女 全能服务王+纯欲系列 可以拍摄颜射/有高跟鞋 絲襪 空姐服 ✨性感制服😆😆有學生制服 小短裙。呦+淫+騷 極品服務王 🌟可上門服務,可過夜服務🌟 相簿photos:https://t.me/VeronaNew 客服:@Correctbookin ☎️WhatsApp:http://wa.me/97256680

8 Aug 2026, 05:22 UTC14 viewsread 8 August 2026
Forwarded from @miyanunu669Photo

港島新女:suki 身高168 體重88 天然真胸🤩🤩🤩 #超正身材#新人入行#粉嫩多汁#聽話聽教# 😘😘😘無敵身材 夠主動服務 🥰🥰🥰調情高手 聲音甜美 💋💋💋口技有女友feel 🤩🤩🤩鮑魚粉嫩 多汁多水 🙈🙈🙈天然真波 Q彈 嫩 ☕️☕️☕️歡迎哥哥預約 相簿: https://t.me/miyanunu669 客服: @miya668 電話: 69450630

8 Aug 2026, 04:57 UTC9 viewsread 8 August 2026
Photo

#Sammi 166 cm Fcup 24yr 口技一流 服務一流 按摩一流 高靚白女神級數 真料Fcup 純天然巨乳 夾腸手勢出色 白裡透紅的肌膚.配合度高 態度認真無黑面 夠放夠好玩👅任舞任換姿勢 嬌嗲聲線導航 GFF爆棚🤩🤩 健談好客零破冰 全程廣東話交流 純天然36F大啵配合3D nunu出神入化 高端場 🌟可上門服務,可過夜服務🌟 客服:@Correctbookin ☎️WhatsApp:http://wa.me/52201479

8 Aug 2026, 04:57 UTC12 viewsread 8 August 2026
Photo

#妮妮 $2000 尖沙咀酒店 身高胸圍:淨身高171胸围天然DCup 皮膚白滑 胸奴补钙🍼🍼首選! 軟熟好揸 仲有馬甲線👙身材一流 人靚聲甜 溫柔體貼超級GFF❤️服務有保證 服務:大車 69 環保吹 波推臀推 水蕭 前後陪沖涼 初次來港-有學生制服/主动热情型/高质明星靓妹妹 🌟可上門服務,可過夜服務🌟 相簿photos:https://t.me/VeronaNew 客服:@Correctbookin ☎️WhatsApp:http://wa.me/97256680

8 Aug 2026, 03:46 UTC25 viewsread 8 August 2026
Photo

# 兔兔🐰 168cm Dcup 21yr 长腿後生巨乳靚呦女 全能服务王+纯欲系列 可以拍摄颜射/有高跟鞋 絲襪 空姐服 ✨性感制服😆😆有學生制服 小短裙。呦+淫+騷 極品服務王 🌟可上門服務,可過夜服務🌟 相簿photos:https://t.me/VeronaNew 客服:@Correctbookin ☎️WhatsApp:http://wa.me/97256680

7 Aug 2026, 14:41 UTC55 viewsread 7 August 2026
Photo

#千金 170cm Ccup 23ry ✨超模身材大长腿 有空姐服 ✨服务态度超好 会跳艳舞 ✨新女性感誘惑!迷人大长腿! ✨前后陪浴,水中箫💋nuru波推🧶按摩💆‍♀深喉吹👄口活一流,水萧冰火🔥 ✨女女 皮肤滑 性格開朗 不用破冰 ✨热情风骚,多水多汁,有女朋友的feel 声音导航令人着迷 有免费黑絲襪制服誘惑😍 🌟可上門服務,可過夜服務🌟 相簿photos:https://t.me/VeronaNew 客服:@Correctbookin ☎️WhatsApp:http://wa.me/97256680

7 Aug 2026, 14:02 UTC50 viewsread 7 August 2026
Photo

# 兔兔🐰 168cm Dcup 21yr 长腿後生巨乳靚呦女 全能服务王+纯欲系列 可以拍摄颜射/有高跟鞋 絲襪 空姐服 ✨性感制服😆😆有學生制服 小短裙。呦+淫+騷 極品服務王 🌟可上門服務,可過夜服務🌟 相簿photos:https://t.me/VeronaNew 客服:@Correctbookin ☎️WhatsApp:http://wa.me/97256680

7 Aug 2026, 13:40 UTC51 viewsread 7 August 2026
Photo

#Zon 極品清纯学生款必食推薦 尖沙咀酒店 $2000 03年 167cm 44kg Dcup 白小纯里的天花板 今日剛到香港遊玩兼職 69大車浪漫濕吻 一起沖涼環保吹c各種姿勢愛愛等你來 全套女友服務+愛愛 氛圍感拉滿 🌟可上門服務,可過夜服務🌟 客服:@Correctbookin ☎️WhatsApp:http://wa.me/52201479

Showing the 10 most recent of 10 posts we hold for @VeronaNew. 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 — 1,510,677 of 1,621,120entries 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.

Names

Channels on the register whose handles appear in this channel's posts.

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 25 August 2026 — this entry's latest reading, not the date you are reading this.

“@Localgirs 尖沙咀 港島” (@VeronaNew), 4,348 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/VeronaNew.

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.