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Channel

知知外送茶坊🥀 +賴36DD

@bddfsg

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

5,141subscribers

-5 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-1001927818914
TypeChannel
Username@bddfsg
CreatedBetween 1 April 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live23 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 23 August 2026
On Telegramt.me/bddfsg

Growth

5,1385,1525,1457 August 2026 — 5,146 subscribers7 August 2026 — 5,147 subscribers11 August 2026 — 5,152 subscribers14 August 2026 — 5,146 subscribers17 August 2026 — 5,138 subscribers20 August 2026 — 5,139 subscribers23 August 2026 — 5,141 subscribers5,1417 August 202623 August 2026
7 measurements spanning 16 days, net -5. 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 5,136–5,154 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 22:585,141+2
20 Aug 2026, 07:275,139+1
17 Aug 2026, 10:175,138-8
14 Aug 2026, 04:085,146-6
11 Aug 2026, 06:015,152+5
7 Aug 2026, 20:495,147+1
7 Aug 2026, 17:475,146first reading

Engagement

31 posts held, back to 5 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 7 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
5.76%
avg views ÷ 5,141 subscribers
Avg views / post
296
31 posts measured
Reaction rate
0.613%
reactions ÷ views · ER floor
Posts in window
31
of 31 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 13 of 31 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 11 August 2026
Posts held31 (5 August 202611 August 2026)
Views total9,178
Reactions total22
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 04:42 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

22 reactions across 12 posts, in 2 distinct kinds. The most used accounts for 86.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1986.4%
👍313.6%

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 13 of the 31 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 22reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 31 most recent posts we hold, published 5 August 2026 to 11 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

11 Aug 2026, 17:46 UTC66 views2 reactionsread 12 August 2026
Forwarded from @TZZD7Photo

且敬我之心火 永不熄滅

👍2

11 Aug 2026, 07:10 UTC193 viewsread 12 August 2026
Photo

“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

11 Aug 2026, 07:10 UTC168 viewsread 12 August 2026
Photo

“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:雙北(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

11 Aug 2026, 07:10 UTC156 views0 reactionsread 12 August 2026
Photo

“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:台中(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

10 Aug 2026, 10:43 UTC211 viewsread 12 August 2026
Forwarded from @TZZD3Photo

謝謝哥哥的捧場 能給一次機會對於知知來說就很好啦 低價位也不是你們想象的就都是差的 也有不錯的哦 cp值高 偶爾約一次也不傷錢包 總茶單:https://t.me/bddfsg 北茶單:https://t.me/TZZD10 中茶單:https://t.me/TZZD11 南茶單:https://t.me/TZZD12 低價茶單:https://t.me/TZZD6 新手指南:https://t.me/TZZD1 心情頻道:https://t.me/TZZD7 客評反饋:https://t.me/TZZD3 澀群頻道:https://t.me/rxdfwf 知知TG :@C36DD 加知知的賴 :36DD Gleezy:TZZD Gleezy訪客鏈接:https://gleezy.net/txhtct

10 Aug 2026, 05:22 UTC301 views2 reactionsread 12 August 2026
Photo

雨涵 155/42/B/18歲 剛成年的學生妹 骨感小隻型 穴穴緊緊的 青澀模樣 喜歡被疼愛 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

10 Aug 2026, 05:18 UTC281 viewsread 12 August 2026
Photo

小艾 158/46/C/19歲 清秀學生妹推薦 新人下海 青春氣息 皮膚白嫩 幼態甜美 甜美可愛 全身無整 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

10 Aug 2026, 05:13 UTC251 views2 reactionsread 12 August 2026
Photo

牙牙 159/45/C/19歲 清純可愛學生妹 可調教 床上特別聽話 皮膚白白的時尚正妹 很難抵抗他的魅力 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

9 Aug 2026, 07:45 UTC332 viewsread 12 August 2026
Photo

雨晴 162cm |457kg|D奶|22歲 星巴克店員 甜美愛笑 有料 溫柔 很貼心 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

9 Aug 2026, 07:44 UTC335 views1 reactionsread 12 August 2026
Photo

可晴 163cm| 46kg|33C|24歲 幼教老師 笑容甜美 很有耐心 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

9 Aug 2026, 07:42 UTC315 views2 reactionsread 12 August 2026
Photo

#私房菜瑜伽老師 恬欣 164cm・46kg・D奶・23歲 主動會玩 床上嫵媚姿態超級誘人 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

Showing the 12 most recent of 31 posts we hold for @bddfsg. 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 — 109,153 of 1,585,237entries 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 6 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.

“知知外送茶坊🥀 +賴36DD” (@bddfsg), 5,141 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/bddfsg.

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.