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Channel

台灣新手喝茶注意事項LINE:wkk399

@zhixinhe

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

139subscribers

+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-1002439078821
TypeChannel
Username@zhixinhe
CreatedBetween 1 September 2024 and 24 December 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live30 August 2026
Measurements held5
Confirmed unchanged2 times, most recently 30 August 2026
On Telegramt.me/zhixinhe

Growth

1351391377 August 2026 — 136 subscribers8 August 2026 — 135 subscribers8 August 2026 — 135 subscribers15 August 2026 — 138 subscribers23 August 2026 — 139 subscribers7 August 202623 August 2026
5 measurements spanning 16 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 134–140 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 11:03139+1
15 Aug 2026, 15:52138+3
8 Aug 2026, 23:46135no change
8 Aug 2026, 09:39135-1
7 Aug 2026, 15:48136first reading

Engagement

20 posts held, back to 24 December 2024the 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 20 July 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
9s
Average length
9s

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

9 reactions across 9 posts, in 2 distinct kinds. The most used accounts for 77.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
777.8%
👍222.2%

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 11 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 9reactions 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 24 December 2024 to 20 July 2025, 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

20 Jul 2025, 07:28 UTC964 views1 reactionsread 8 August 2026
Forwarded from @zhiqy877Photo

💖 高雄|小婷 身材密碼:155cm / 43kg / C罩杯 / 22歲 價格:10000一節 兩節20000 服務內容:小隻馬甜妹,身材勻稱,服務自然熱情,體驗純真的誘惑。 💌聯絡只只方式① 📱聯絡只只方式② 💞全台優質好妹 Gleezy:zhi527 💯優質美女好評 💣喝茶新手區 😃深夜射射區 ✡️全台旅館推薦3

1

27 Apr 2025, 08:36 UTC≈1,280 viewsread 8 August 2026
Forwarded from @zhiqy877Photo

⭐只只茶坊活動進行時 ⭐ 活動時間:4/27-4/30 現在TG跟LINE都太不穩定 推薦大家用Gleezy 軟體 只只測試過無病毒無廣告 😀😀😀Gleezy與只只聊天 🔠🔠:ZHI56

26 Apr 2025, 03:23 UTC≈1,260 views1 reactionsread 8 August 2026
Forwarded from @zhiqy877Photo

Photo, posted without a caption

1

26 Apr 2025, 03:23 UTC≈1,170 views0 reactionsread 8 August 2026
Forwarded from @zhiqy877

只只遇到一個很可怕的事情,只只在跟一個客人聊天的時候,突然出現一個檔案,然後還說讓我點開,我就說不點,後面客人說點什麼,我就問他:你不是有給我傳一個檔案,我不敢點阿,害我氣的差點把他刪掉了,但他跟我說,他沒跟我傳檔案,我就納悶了,那誰給我傳的,就叫他截圖來看看,結果發現他真的沒傳檔案,現在TG黑客真的太恐怖了,能監控你的聊天記錄來跟別人聊天,已經不止發生一次了,現在很多都無緣無故被刪記錄,或者賬號不見,大家一定要注意,只只現在重新下載了一個軟體 ➡️:Gleezy,是一個熟客大大推薦的,也是因為他的賬號被盜了,所以加只只賴說下載這個比較好用,但是line也很容易被刪除,所以只只試了一下 ,還蠻不錯用的,也推薦給大家,如果有下載的話可以加入只只➡️ID:zhi527

3 Mar 2025, 19:16 UTC≈1,440 views1 reactionsread 8 August 2026
Forwarded from @zhiqy877

😀外約流程: ⭐請先告知你所在縣市.你的預算‘以及喜歡什麼類型的妹妹。這樣方便能為你安排最符合你理想的妹妹 ⭐請告知你的手機號碼,要約的時間及要開哪一間旅館.飯店.商旅或住家地址,為你確認後即可去開房 ⭐開好房間後,請告知你的房號,我會請妹妹出發。一般大約20-30分鐘左右。妹妹即會到達你指定的地點。 ⭐見到妹妹滿意後才消費,現金交易,不轉賬.不匯款.不點數。讓你享受真正的歡樂時光 ⭐結束後麻煩告訴只只一聲 確定妹妹有安全離開 告訴只只你的約會心得

1

3 Mar 2025, 19:04 UTC≈1,320 views1 reactionsread 8 August 2026

只只教你如何預防網路援交詐騙 ⚠️類型一:點數詐騙 #方式:用正妹照片當大頭,以個人援交3K3小或更低的價位說跟你進行交易,約在小7附近便“識別是否為警察”的理由要求白害人先繳交一筆保證金 且必須利用狗毛超商點數卡的方式 並將上方序號提供給對方 同時:詐騙集團又以此為理由 要求對方提高工電話住址等個人基本資料 被害人按照詐騙集團的指示購買點數並且傳給對方後 沒想到對方還會繼續用利用開房費 保證金等其他理由要求被害人繼續購買點數 可惜而知 最火被害人是無法進行性交易 ⚠️類型二:視訊裸聊詐騙 1️⃣:通過APP、網站認識,加你的聯絡方式 2️⃣:聊天 交友 色聊 視訊 裸訊... 3️⃣:傳一個陌生的連結給你,要你點開 👄詐騙方式:以有錄製你的影片為由對你進行威脅恐嚇,要你匯款、買點數,不然就在網路公開你的影片還將你的影片傳給你的家人朋友,讓你無法抬頭做人顏面盡失。 提醒:每個人賺錢都不容易,大家記得維護好自身利益。

1

3 Mar 2025, 19:00 UTC≈1,140 views1 reactionsread 8 August 2026
Video

🍓玩絲襪的好處: 1️⃣視覺享受:光滑修長的雙腿配上絲襪,立刻讓視覺感官升溫,讓你看了就想撲倒!這能增加情趣,激發無限慾望。 2️⃣觸覺體驗:絲襪滑膩的觸感,在肌膚上摩擦,是種讓人癢癢的享受。當絲襪貼合在皮膚上,每一個動作都會帶來獨特的快感,更何況是做愛時那種激烈的摩擦,絕對讓你欲火焚身! 3️⃣增加摩擦:在性愛過程中,穿上絲襪能增加彼此間摩擦的快感,尤其在彼此腿部糾纏時,那種絲滑的摩擦力,讓每一次的動作都充滿刺激,保證讓你高潮不斷! 4️⃣方便操作:絲襪的彈性與包覆性,讓穿戴者腿部曲線被襪子襯托得更加迷人,同時方便各種動作與姿勢,讓你愛愛時更能玩得盡興,體驗各種高難度動作! 5️⃣增進情趣:除了視覺和觸覺上的享受,絲襪還能當作情趣小物,讓你在做愛時有更多樂趣。綁縛、綑綁,或是在私密處剪開一個洞,都能讓你們的愛愛過程更有趣、更過癮!

1

3 Mar 2025, 18:53 UTC951 views1 reactionsread 8 August 2026
Forwarded from @zhiqy877

📣 #全台外送區域 #外送地區 🔗雙北地區: 北投區,士林區,內湖區,中山區,大同區,松山區,中正區,信義區,南港區,萬華區,大安區,文山區 ,廬州區,泰山區,三重區,新莊區,板橋區,中和區,永和區,土城區,新店區,汐止區 五股區 (淡水區 林口區 龜山區 +200車資) 🔗新竹:新竹市,竹北市,北區,東區 香山區 🔗中部外送地區 台中:中區-東區-西區-南區-北區-西屯區-南屯區-北屯區-豐原區-大理區-太平區-沙鹿區-烏日區-大雅區(豐原沙鹿+200車資) 彰化:(鹿港-和美-秀水-大村鄉-溪湖鎮- -員林-碑頭- -田尾--蒲心鄉-) 🔗南部外送地區 #高雄(小港區 鳳山區+300/100車資) (楠梓區+400/200車資) (左營區,三民區,前金區,前鎮區,新興區,苓雅區,鼓山區+200車資) 🔗台南(東區 北區 南區 中西區)+200車資 (永康 仁德)+400車資 🔊外約模式:旅館 飯店 外約 {熟

1

26 Feb 2025, 06:43 UTC985 viewsread 8 August 2026

😀😀😀外約流程 : 🦩1. 首先要給我您的電話及怎樣稱呼,這樣方便聯絡~您電話無法使用時請先開好房間再線上聯絡! 🦩2. 你可先告訴我您的 ” 消費預算及喜歡類型的mm “, 方便準確安排! 🦩3. 再來您要外約的 ” 時間 ” 及指定的 ” 地點 ” 我們會準時赴約! 🦩4. 我會通知您美眉到了,若是去旅館,會先問您房號,美眉直接進房間 🦩5. 美眉看過滿意再消費‧不強迫‧免轉帳‧免匯款‧免受騙‧以客為尊! 🦩如果安排的小姐不滿意,可以免費退換,但打槍畢竟對雙方都不好,也浪費彼此的時間.所以再跟我詳細說明您的需求及條件,這樣可以更能夠符合您的要求~ ►若臨時有事須取消,也請提前告知!

Showing the 12 most recent of 20 posts we hold for @zhixinhe. 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 — 206,891 of 1,628,927entries 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 3 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 23 August 2026 — this entry's latest reading, not the date you are reading this.

“台灣新手喝茶注意事項LINE:wkk399” (@zhixinhe), 139 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/zhixinhe.

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.