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Channel

小澄高檔外送|週一固定更新班表❤️

@kk7893

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

108subscribers

+10 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-1003773237769
TypeChannel
Username@kk7893
CreatedBetween 1 February 2026 and 30 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live30 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 30 August 2026
On Telegramt.me/kk7893

Growth

981081037 August 2026 — 98 subscribers9 August 2026 — 98 subscribers16 August 2026 — 107 subscribers23 August 2026 — 105 subscribers30 August 2026 — 108 subscribers7 August 202630 August 2026
5 measurements spanning 23 days, net +10. 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 97–110 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
30 Aug 2026, 08:47108+3
23 Aug 2026, 14:27105-2
16 Aug 2026, 16:17107+9
9 Aug 2026, 11:3298no change
7 Aug 2026, 19:4298first reading

Engagement

15 posts held, back to 6 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
26.0%
avg views ÷ 108 subscribers
Avg views / post
28.1
15 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
15
of 15 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 9 August 2026
Posts held15 (6 August 20269 August 2026)
Views total421
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 11:32 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.

Recent posts

9 Aug 2026, 05:59 UTC9 viewsread 9 August 2026
Photo

感謝上天賜我一個那麼好的哥哥😘😘 line:xc7892 TG:@x24264

8 Aug 2026, 13:25 UTC20 viewsread 9 August 2026
Forwarded from @sd88954Photo

🌸 #提前預約 的重要性 🌸 很多新朋友常常問小澄:為什麼要提前預約?臨時不行嗎? 其實提前預約,不只是多準備一點時間這麼簡單哦~ ✅一,時間掌握更彈性,不用乾等! 提前預約的最大好處就是: 妹妹能提早出發,提早抵達,大大不用臨時等、也不怕臨時沒妹 尤其熱門時段或假日,現場等的時間會明顯拉長,有時甚至約不到! ✅二,優先挑選權在你手上 提前預約的話,小澄能幫你優先鎖定理想型的妹妹, 不會出現< 剛好被別人約走 >的遺憾情況, 這也是老熟客最懂的穩約心法~ ✅三,妹妹狀態更好、配合度更高 臨時被叫出門的妹妹,有時剛忙完或趕場中, 但提前預約的妹妹,會提早準備、調整狀態, 從妝容、心情到體力,都會是最佳狀態 ✅四,特別時段/節假日更需預約 像是週末、連假、特殊節日這類高峰期, 臨時約真的容易久等+選擇少, 提早一點和小澄預約,省心又順心 ✨小結: 想減少等待,想確保品質,想要選到心儀的妹妹, 記得提早和小澄預約, 你準備得

8 Aug 2026, 06:16 UTC30 viewsread 9 August 2026
Photo

真的很謝謝茫茫人海選擇我信任我的人🥰🥰 line:xc7892 TG: @x24264

8 Aug 2026, 06:03 UTC30 viewsread 9 August 2026

機會就像限量商品,不會因為你還在考慮就一直等你 等你從我要不要變成我要的時候,可能已經變成沒有了

7 Aug 2026, 06:04 UTC33 viewsread 9 August 2026
Photo

感謝哥哥的支持,拿下了空姐 line:xc7892 TG:@x24264

6 Aug 2026, 12:57 UTC36 viewsread 9 August 2026
Photo

#高雄推薦‼️ #19歲樹德大學在校生 年輕幼齒,很可愛 謝謝哥哥的支持喔~~ 已經是老熟客了😄

6 Aug 2026, 11:29 UTC34 viewsread 9 August 2026
Photo

謝謝哥哥的支持 學生妹拿下 line:xc7892 TG:@x24264

Showing the 12 most recent of 15 posts we hold for @kk7893. 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 — 134,551 of 1,628,524entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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

“小澄高檔外送|週一固定更新班表❤️” (@kk7893), 108 subscribers as measured 30 August 2026. Telegram Register, tgregister.com/channel/kk7893.

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.