Telegram RegisterThe public register of Telegram
Telegram profile photo for 小涵喝茶班表 🍵 喝茶敲我 可優惠3K 🇹🇼

Channel

小涵喝茶班表 🍵 喝茶敲我 可優惠3K 🇹🇼

@wet58y

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

1,571subscribers

+8 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002293453273
TypeChannel
Username@wet58y
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live20 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 20 August 2026
On Telegramt.me/wet58y

Growth

1,5631,5731,5687 August 2026 — 1,563 subscribers7 August 2026 — 1,564 subscribers14 August 2026 — 1,569 subscribers17 August 2026 — 1,573 subscribers20 August 2026 — 1,571 subscribers1,5717 August 202620 August 2026
5 measurements spanning 13 days, net +8. 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 1,562–1,575 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
20 Aug 2026, 16:121,571-2
17 Aug 2026, 19:251,573+4
14 Aug 2026, 21:171,569+5
7 Aug 2026, 19:131,564+1
7 Aug 2026, 05:021,563first reading

Engagement

13 posts held, back to 3 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 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
47.5%
avg views ÷ 1,571 subscribers
Avg views / post
746
13 posts measured
Reaction rate
0.76%
reactions ÷ views · ER floor
Posts in window
13
of 13 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 3 of 13 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 7 August 2026
Posts held13 (3 August 20267 August 2026)
Views total9,692
Reactions total4
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 18:06 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
7s
Average length
7s

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

4 reactions across 2 posts, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4100.0%

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 3 of the 13 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 4reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 13 most recent posts we hold, published 3 August 2026 to 7 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

7 Aug 2026, 05:26 UTC64 viewsread 7 August 2026
Video

妹妹特寫 今日可約喔 密小涵 可低價約 162/46/D+ 21歲 📱 Telegram: @wet58a

7 Aug 2026, 05:03 UTC298 viewsread 7 August 2026
Photo

💥限時特價6000一節💥 ”貧乳” 大奶”推薦👼 🤓🤓🤓🤓🤓🤓🤓🤓 🤓🤓🤓🤓🤓🤓🤓🤓 #雙北貧乳區 🐾星星 師範大學 152.44.20.A #可愛雙馬尾正妹 🐾小魚 海洋大學 155.45.19.A #清純皮膚白皙 🐾冷冷 淡江大學 159.46.20.B #外貌清純床上狐狸 #雙北巨乳區 🐾香草 亞東大學 152.46.19.D #小露蘇胸很吸晴 🐾米恩 輔仁大學 153.45.19.E #童顔巨乳天花板 🐾芊芊 真理大學 158.45.18.D #長相日系正妹奶頭敏感 #中部貧乳區🤍 🐾雪麗 中興大學 155.44.19.A #清秀學生妹 🐾寶兒 東海大學 152.42.18.A #乖巧無辜女 🐾昆凌 朝陽大學 158.44.20.A #大眼高鼻有點混血 #中部爆乳區🤍 🐾橘子 中興大學 152.46.19.D #奶頭很小白皙 🐾微風 朝陽大學 153.45.19.D #粉嫩蘇胸 🐾可燃 靜宜大學 158.

7 Aug 2026, 04:30 UTC74 viewsread 7 August 2026
Photo

🤓🤓🤓🤓🤓🤓 #清純女友 雨雨 165cm 25歲 E奶 47kg 白嫩牛奶肌+軟Q美奶,抱起來超舒服 ~ 外表溫柔,床上卻主動到讓你招架不住 ~ 一口到底+舔蛋加分,反應真實又黏人 ~ 奶控+深喉控必約天菜,整套讓你爽到顫抖💦 📱 Telegram: @wet58a ⭐Gleezy: wet58a 🌐LINE: wet58 😀 選妹正妹 🔔 喝茶回報 👋 喝茶必看 ❤️ 小涵日常 😍 暗黑 🇹🇼 學生妹偷拍外流 🎯 點連結即可聊天 隱私性高偷情專用 🎯

7 Aug 2026, 04:29 UTC71 viewsread 7 August 2026
Photo

🤓🤓🤓🤓🤓🤓 多多 160cm 22歲 D奶 46kg #超甜美可愛淡大小甜心 ~ 小隻馬、白嫩肌膚、好操控☺️很愛笑又很會撒嬌 和她約會的過程會讓你感覺滿滿的粉紅泡泡🥰 床上乖巧聽話的她絕對不會讓你失望的哦‼️ 📱 Telegram: @wet58a ⭐Gleezy: wet58a 🌐LINE: wet58 😀 選妹正妹 🔔 喝茶回報 👋 喝茶必看 ❤️ 小涵日常 😍 暗黑 🇹🇼 學生妹偷拍外流 🎯 點連結即可聊天 隱私性高偷情專用 🎯

7 Aug 2026, 03:42 UTC73 viewsread 7 August 2026
Photo

#新紅牌——長榮空姐 172cm E奶 26歲 沐沐 身材頂級 服務一流 特別有女人味 💰生客20k 熟客16k /45k可三加一 #照片本人有落差可免費 兼職時間有限 提前預約 📱 Telegram: @wet58a ⭐Gleezy: wet58a 🌐LINE: wet58 😀 選妹正妹 🔔 喝茶回報 👋 喝茶必看 ❤️ 小涵日常 😍 暗黑 🇹🇼 學生妹偷拍外流 🎯 點連結即可聊天 隱私性高偷情專用 🎯

5 Aug 2026, 03:34 UTC177 views3 reactionsread 7 August 2026
Photo

#台中可約 #今日半價 #熱銷奶茶 沐沐 160cmF奶20歲 童顔巨乳 #純慾乖巧 清純洋氣 配合度極高 📱 Telegram: @wet58a ⭐Gleezy: wet58a 🌐LINE: wet58 😀 選妹正妹 🔔 喝茶回報 👋 喝茶必看 ❤️ 小涵日常 😍 暗黑 🇹🇼 學生妹偷拍外流 🎯 點連結即可聊天 隱私性高偷情專用 🎯

3

5 Aug 2026, 03:33 UTC174 viewsread 7 August 2026
Photo

#高雄可約 💗特價:#一節8000 兩節12000 明兒 159 45 C 21 甜美學生小隻的身材下隱藏大大的力量 很騷很嬌姿態妖嬈誘人會讓人想入非非 甜蜜多汁需要會玩的哥哥細細品嘗 📱 Telegram: @wet58a ⭐Gleezy: wet58a 🌐LINE: wet58 😀 選妹正妹 🔔 喝茶回報 👋 喝茶必看 ❤️ 小涵日常 😍 暗黑 🇹🇼 學生妹偷拍外流 🎯 點連結即可聊天 隱私性高偷情專用 🎯

5 Aug 2026, 03:33 UTC150 viewsread 7 August 2026
Photo

#世新學生空降中部 小水 159cmD奶21歲 #親自面試 小只有料 臉蛋可愛 皮膚嫩滑 超級好評 #特價:10000 📱 Telegram: @wet58a ⭐Gleezy: wet58a 🌐LINE: wet58 😀 選妹正妹 🔔 喝茶回報 👋 喝茶必看 ❤️ 小涵日常 😍 暗黑 🇹🇼 學生妹偷拍外流 🎯 點連結即可聊天 隱私性高偷情專用 🎯

4 Aug 2026, 13:27 UTC170 viewsread 7 August 2026

很多女生都是兼職的 不知道什麼時候會上岸 所以在的時候一定要抓緊時間約 不要之後遺憾又想念 有的可能還在猶豫的 不如親自來試試看 她到底多厲害 倩茹現在不一定每天都在哦! 如果有出來 只1-2個客人

4 Aug 2026, 04:41 UTC191 views0 reactionsread 7 August 2026
Photo

米妮 162cm / 46kg / D奶 / 24歲 #新北試車 ✔️ 桃園某牙助 📱 Telegram: @wet58a ⭐Gleezy: wet58a 🌐LINE: wet58 😀 選妹正妹 🔔 喝茶回報 👋 喝茶必看 ❤️ 小涵日常 😍 暗黑 🇹🇼 學生妹偷拍外流 🎯 點連結即可聊天 隱私性高偷情專用 🎯

4 Aug 2026, 04:41 UTC158 views1 reactionsread 7 August 2026
Photo

菜菜 162.D奶.19歲 45kg 蜜桃臀超讚 身材超迷人! 天菜級完美顏值電力滿分 集優點於一身 不約會後悔 📱 Telegram: @wet58a ⭐Gleezy: wet58a 🌐LINE: wet58 😀 選妹正妹 🔔 喝茶回報 👋 喝茶必看 ❤️ 小涵日常 😍 暗黑 🇹🇼 學生妹偷拍外流 🎯 點連結即可聊天 隱私性高偷情專用 🎯

1

Showing the 12 most recent of 13 posts we hold for @wet58y. 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 — 114,879 of 1,583,249entries 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

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 5 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 20 August 2026 — this entry's latest reading, not the date you are reading this.

“小涵喝茶班表 🍵 喝茶敲我 可優惠3K 🇹🇼” (@wet58y), 1,571 subscribers as measured 20 August 2026. Telegram Register, tgregister.com/channel/wet58y.

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.