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Channel

南茶🍵(高雄-台南)

@TZZD12

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

416subscribers

+14 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-1003520435523
TypeChannel
Username@TZZD12
CreatedBetween 1 December 2025 and 31 May 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live21 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/TZZD12

Growth

4024164097 August 2026 — 402 subscribers8 August 2026 — 402 subscribers15 August 2026 — 411 subscribers21 August 2026 — 416 subscribers7 August 202621 August 2026
4 measurements spanning 14 days, net +14. 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 400–418 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 23:46416+5
15 Aug 2026, 02:36411+9
8 Aug 2026, 05:48402no change
7 Aug 2026, 17:47402first reading

Engagement

11 posts held, back to 31 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
17.0%
avg views ÷ 416 subscribers
Avg views / post
70.9
11 posts measured
Reaction rate
0.952%
reactions ÷ views · ER floor
Posts in window
11
of 11 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 1 of 11 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 8 August 2026
Posts held11 (31 July 20268 August 2026)
Views total780
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 05:48 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 1 of the 11 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 11 most recent posts we hold, published 31 July 2026 to 8 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

8 Aug 2026, 05:15 UTC6 viewsread 8 August 2026
Forwarded from @bddfsgPhoto

“高中生試車”活動來襲 原因:暑假期間的下海兼職 全部7折優惠試車 其實還有很多學生需要試車 但是知知過濾之後只有這幾個是最優質 最值得我推薦的 所以才推薦給你們 有興趣的可以放心找我試車 優點:沒有sop 優點:年輕 優點:便宜 優點:反差感 地區:高雄(僅限約旅館) 知知TG :@C36DD 加知知的賴 :36DD Gleezy:TZZD Gleezy訪客鏈接:https://gleezy.net/txhtct 總茶單:https://t.me/bddfsg

7 Aug 2026, 07:11 UTC36 viewsread 8 August 2026
Forwarded from @bddfsgPhoto

嬌嬌 159/46/D/21歲 清純鄰家女孩 女友fu十足 可配合各種姿勢 69 舌吻 清水溝 夾腿共浴變裝都玩 知知TG :@C36DD 加知知的賴 :36DD Gleezy:TZZD Gleezy訪客鏈接:https://gleezy.net/txhtct 總茶單:https://t.me/bddfsg

6 Aug 2026, 08:01 UTC57 viewsread 8 August 2026
Forwarded from @bddfsgPhoto

夏夏 158/46/C/19歲 聲音甜美 嬌小可愛 苗條身材好 知知TG :@C36DD 加知知的賴 :36DD Gleezy:TZZD Gleezy訪客鏈接:https://gleezy.net/txhtct 總茶單:https://t.me/bddfsg

5 Aug 2026, 07:18 UTC64 viewsread 8 August 2026
Forwarded from @bddfsgPhoto

Photo, posted without a caption

5 Aug 2026, 07:18 UTC68 viewsread 8 August 2026
Forwarded from @bddfsgPhoto

小五 158/E/45/20歲 大奶小隻馬 適合火車便當 被調教 擁有一張可愛的甜美的娃娃臉 搭配那豐滿的E杯身材 性感於可愛兼具 知知TG :@C36DD 加知知的賴 :36DD Gleezy:TZZD Gleezy訪客鏈接:https://gleezy.net/txhtct 總茶單:https://t.me/bddfsg

4 Aug 2026, 07:38 UTC69 viewsread 8 August 2026
Forwarded from @bddfsgPhoto

錦錦 166cm 48 C奶 27歲 各位宅男們心目中A片里的美腿辣妹 服務很讃 挑逗勾引樣樣都玩 不加節後悔死的那種 知知TG :@C36DD 加知知的賴 :36DD Gleezy:TZZD Gleezy訪客鏈接:https://gleezy.net/txhtct 總茶單:https://t.me/bddfsg

3 Aug 2026, 08:15 UTC82 viewsread 8 August 2026
Forwarded from @bddfsgPhoto

慕蓉 164.45.C.20歲 身材熱辣 相處很有女友fu 床上大膽風騷 小妖精的激情放縱強姦式 接受吸奶 揉奶 奶砲 敏感部位是耳際 脖子奶頭 喜歡男生挑逗 嬌喘呻吟~高潮一直要 知知TG :@C36DD 加知知的賴 :36DD Gleezy:TZZD Gleezy訪客鏈接:https://gleezy.net/txhtct 總茶單:https://t.me/bddfsg

2 Aug 2026, 10:06 UTC90 viewsread 8 August 2026
Forwarded from @bddfsgPhoto

湘湘 158cm/46 / D奶 / 21歲 見習護理師 表面乖 反差女 私下很淫蕩 知知TG :@C36DD 加知知的賴 :36DD Gleezy:TZZD Gleezy訪客鏈接:https://gleezy.net/txhtct 總茶單:https://t.me/bddfsg

1 Aug 2026, 07:15 UTC106 viewsread 8 August 2026
Forwarded from @bddfsgPhoto

歐蕾 162cm 47 C奶 21歲 眼神清澈 笑容甜美 暑假出來兼職的青澀學妹 知知TG :@C36DD 加知知的賴 :36DD Gleezy:TZZD Gleezy訪客鏈接:https://gleezy.net/txhtct 總茶單:https://t.me/bddfsg

31 Jul 2026, 08:22 UTC105 views1 reactionsread 8 August 2026
Forwarded from @TZZD6

🥀#無照口碑推薦 詩詩|30歲|醫院志工 #台北信義 婷婷|36歲|兒童陪伴志工 #新竹東區 采蓮|32歲|動物救援志工 #台中西屯 語柔|35歲|社工志工 #台南北區 佳佳|32歲|生態環保志工 #高雄楠梓 知知TG :@C36DD 加知知的賴 :36DD Gleezy:TZZD Gleezy訪客鏈接:https://gleezy.net/txhtct 低價茶單:https://t.me/TZZD6

👍1

31 Jul 2026, 07:53 UTC97 viewsread 8 August 2026
Forwarded from @bddfsgPhoto

靜靜 158 C 45 19歲 很愛笑的女生個性很文靜 甜甜的聲音, 很有女友般的FU 第一次兼職 有點羞澀 適合外貌控 很好駕馭 很聽話 知知TG :@C36DD 加知知的賴 :36DD Gleezy:TZZD Gleezy訪客鏈接:https://gleezy.net/txhtct 總茶單:https://t.me/bddfsg

Showing the 11 most recent of 11 posts we hold for @TZZD12. 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 — 438,495 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

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 4 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 21 August 2026 — this entry's latest reading, not the date you are reading this.

“南茶🍵(高雄-台南)” (@TZZD12), 416 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/TZZD12.

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.