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Channel

車友實測戰報💦

@tw51777

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

199subscribers

+178 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-1001353510935
TypeChannel
Username@tw51777
Description專收全台車友真實回報! 拒絕踩雷,最硬核的實測開箱戰報。 🔥 預約找小布丁: @sk662 🔥LINE:tw517 🔥gleezy:sk662 #台北 #台中 #高雄 #台南 #新竹
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded13 October 2026
Last confirmed live13 October 2026
Measurements held6
On Telegramt.me/tw51777

Topic

Automotive — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B, prompt version 1) read this channel’s own recent posts on 13 October 2026 and assigned it the closest of 31 fixed categories, at 86% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

20199109.57 August 2026 — 21 subscribers15 August 2026 — 20 subscribers15 September 2026 — 30 subscribers30 September 2026 — 138 subscribers11 October 2026 — 199 subscribers13 October 2026 — 199 subscribers7 August 202613 October 2026
6 measurements spanning 67 days, net +178. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Oct 2026, 07:23199no change
11 Oct 2026, 09:02199+61
30 Sept 2026, 04:38138+108
15 Sept 2026, 06:5730+10
15 Aug 2026, 12:1820-1
7 Aug 2026, 00:1721first reading

Engagement

9 posts held, back to 26 September 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
34.7%
avg views ÷ 199 subscribers
Avg views / post
69.1
9 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
9
of 9 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 12 October 2026
Posts held9 (26 September 2026 – 12 October 2026)
Views total622
Reactions total—
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Oct 2026, 07:23 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

Photos
111
Links
6

Lifetime counters from Telegram’s own channel header, read 13 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Recent posts

12 Oct 2026, 17:35 UTC14 viewsread 13 October 2026
Photo

🤦‍♀️🤦‍♀️賴訊息沒有彈出來,錯失一單,沒有回可以多傳幾條喔

7 Oct 2026, 18:38 UTC56 viewsread 13 October 2026
Photo

⭐【小布丁茶坊】雙十節專屬福利大放送! ⭐感謝有你,一起慶祝雙十! 現在預約立享雙重超值優惠,錯過不再有~ ⭐【#現用福利】 1️⃣ 預約消費立減 1000~3000 💰 2️⃣ 送絲襪一雙 3️⃣ 免預約小費 💰 4️⃣ 免車資 🚗💨 5️⃣ 免無套小費 🩷【消費解鎖限定福利】 消費越多,福利多更多! 👉 福利①:永久半價卡一張 💓 福利②:永久免房費以及車資無套小費 👉 福利③:贈送同等價位現金券 💓 福利④:高級尤物半價一次 👉 福利⑤:免費體驗一次口爆服務 💓 福利⑥:3P買一送一體驗卡一張 ⭐【福利解鎖門檻】 • 消費一節可選1福利 • 消費兩節可選2個福利 • 消費三節可選3個福利 • 消費四節即可 解鎖全部福利! ⭐ 優質妹妹 等你來約 💋 專屬私密享受,好茶相約等你來~ ⭐【立即聯絡/預約】 🌟Telegram:@sk662 🌟LINE:tw517 ⭐Gleezy:sk662 ⭐官網: www.lcy

6 Oct 2026, 12:37 UTC69 viewsread 13 October 2026
Photo

新朋友第一次預約~ 難免會擔心安全與品質 感謝信任,用實力與透明度打破疑慮! 布丁這邊只有外送喔🥲都約旅館,熟客可以住家,見面滿意現金消費!! TG:@sk662 或LINE:tw517

2 Oct 2026, 13:40 UTC120 viewsread 13 October 2026
Photo

#老客好評反饋 💯 #台北 #客評 相信布丁把關,單節15k 買2節~ 客人親自認證:活潑漂亮、健談好聊天 💖 一分錢一分貨,高品質絕不踩雷~ 今天想找優質妹妹放鬆的哥哥,快來私訊布丁看名單! @sk662

30 Sept 2026, 19:15 UTC121 viewsread 13 October 2026
Photo

二次配合! 給辛苦的自己放鬆充電 看到喜歡的妹妹立馬敲定,滿意而歸!感謝哥哥的信任與支持🤩 @sk662

26 Sept 2026, 14:24 UTC163 viewsread 13 October 2026
Photo

😁😁😁 這個世界不一定有人不離不棄 消息秒回,電話秒接 還時不時的對你噓寒問暖 如果你還沒遇到 那就來找小布丁 讓你體驗一下 每天被放在心尖尖上的感覺 想了解約妹私訊小布丁 @sk662

Showing the 9 most recent of 9 posts we hold for @tw51777. 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.

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.

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 13 October 2026 — this entry's latest reading, not the date you are reading this.

“車友實測戰報💦” (@tw51777), 199 subscribers as measured 13 October 2026. Telegram Register, tgregister.com/channel/tw51777.

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.