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樂天 Kobo 書城優惠電子書推播

@kobo_99_notifier

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

1,363subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001393233062
TypeChannel
Username@kobo_99_notifier
CreatedBetween 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live25 August 2026
Measurements held5
Confirmed unchanged2 times, most recently 25 August 2026
On Telegramt.me/kobo_99_notifier

Growth

1,3611,3641,362.57 August 2026 — 1,363 subscribers7 August 2026 — 1,363 subscribers10 August 2026 — 1,361 subscribers19 August 2026 — 1,364 subscribers22 August 2026 — 1,363 subscribers1,3637 August 202622 August 2026
5 measurements spanning 16 days. 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 1,361–1,364 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
22 Aug 2026, 17:531,363-1
19 Aug 2026, 15:331,364+3
10 Aug 2026, 12:421,361-2
7 Aug 2026, 01:461,363no change
7 Aug 2026, 01:381,363first reading

Engagement

20 posts held, back to 22 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
12.7%
avg views ÷ 1,363 subscribers
Avg views / post
173
11 posts measured
Reaction rate
2.80%
reactions ÷ views · ER floor
Posts in window
11
of 20 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 2 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 7 August 2026
Posts held20 (22 July 20267 August 2026)
Views total1,898
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 01:46 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

5 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 60.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
360.0%
👍240.0%

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 4 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 5reactions 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 22 July 2026 to 7 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

7 Aug 2026, 00:00 UTC54 views1 reactionsread 7 August 2026

落花時節(雷佳音、袁泉主演電視劇《相逢時節》原著) 阿耐 💰 NT$99 TWD 🎟 不須折扣碼 🛒 Kobo 購書 📝 一場糾纏二十多年的恩怨,兩代被仇恨吞噬的人。在一場家庭變故後,乖巧的她與弟弟改名換姓,餘生都在逃離父輩的恩怨。二十多年後,面對破裂的婚姻、自私偏心的母親、伺機報復的弟弟、不肯罷休的仇家後人,她選擇打破…

1

7 Aug 2026, 00:00 UTC53 views2 reactionsread 7 August 2026

早餐店阿姨什麼都記得住:早安,今天的鬼故事加點洋蔥嗎? 路邊攤 💰 NT$99 TWD 🎟 不須折扣碼 🛒 Kobo 購書 ⭐ 4.2 / 5 (8 則) 📝 **★PTT百萬爆文作者 路邊攤★★臉書120萬觸及爆文同名新書★走進平凡的早餐店,穿越時間與空間,人鬼溫情互動。前一秒不可思議、下一秒感動爆淚!│療癒奇幻新文體│**【書籍簡介】原文〈早餐店阿姨什麼…

👍2

6 Aug 2026, 00:00 UTC138 viewsread 7 August 2026

扁平時代:演算法如何限縮我們的品味與文化 凱爾‧切卡 💰 NT$99 TWD 🎟 不須折扣碼 🛒 Kobo 購書 ⭐ 4.1 / 5 (7 則) 📝 為什麼一個推崇個性與多元的世界,正在喪失美感與品味?演算法的深層影響,現在才要浮現......一切,開始變得又平、又扁、又無聊,原來,臉書、抖音、YT、Spotify、Netflix,不只改寫網路上的…

5 Aug 2026, 00:00 UTC182 viewsread 7 August 2026

蛋白質的一生(暢銷改版)──了解生命活動的秘密,讀懂生命科學的第一本書 永田和宏 💰 NT$99 NT$240 -59% 🎟 不須折扣碼 🛒 Kobo 購書 📝 蛋白質是細胞中的工作者?!讀完本書,你會發現自己原來對人體蛋白質所知那麼少!原來膠原蛋白是人體內數量最多的蛋白質;骨骼和酵素其實也是蛋白質;如果蛋白質傳遞訊息錯誤,就會導致基因突變;更重要的是,很多疾…

4 Aug 2026, 00:00 UTC197 viewsread 7 August 2026

理當幸福的我們,為何不快樂?:從精神科角度,理解「富足一代」的焦慮、不安與失落 陳俊欽 💰 NT$99 NT$308 -68% 🎟 不須折扣碼 🛒 Kobo 購書 ⭐ 4.0 / 5 (2 則) 📝 從家庭、職場、同儕到社會角色,寫給20~40歲青壯世代的超越痛苦之書。✦杏語心靈診所院長──陳俊欽最新力作✦✦結合心理、社會、宗教、哲學四個面向,提供人生的解方✦✦李家雯(海蒂)諮商心理師──專文撰序…

3 Aug 2026, 00:00 UTC214 viewsread 7 August 2026

藝術的40堂公開課:透過故事,走進藝術家創作現場,看藝術如何誕生、如何形塑人類生活 夏洛特・馬林斯 💰 NT$99 NT$385 -74% 🎟 不須折扣碼 🛒 Kobo 購書 ⭐ 5.0 / 5 (1 則) 📝 ===耶魯大學出版社知名「小歷史」(Little History)通識系列===英國最會說故事的藝評家親自導覽,以電影般的臨場感,帶你走進人類十萬年的藝術創造過程用故事取代術語 ✕ 重現創作現場 ✕…

2 Aug 2026, 00:00 UTC227 viewsread 7 August 2026

時間的起源:史蒂芬.霍金的最終理論 湯瑪仕.赫托 💰 NT$99 NT$455 -78% 🎟 不須折扣碼 🛒 Kobo 購書 ⭐ 5.0 / 5 (3 則) 📝 「我們創造了宇宙,一如宇宙創造了我們。」--史蒂芬.霍金生前對《時間簡史》宇宙觀的顛覆性修正由霍金最密切的研究夥伴,宇宙學家湯瑪仕.赫托執筆,回溯他們二十年來的宇宙探索之旅,帶我們一覽這位傳奇物理學家…

1 Aug 2026, 00:00 UTC218 viewsread 7 August 2026

正念殺機【NETFLIX影集Murder Mindfully蓄弒待發】 卡斯登‧杜瑟(Karsten Dusse) 💰 NT$99 NT$308 -68% 🎟 不須折扣碼 🛒 Kobo 購書 ⭐ 4.5 / 5 (31 則) 📝 每個人可能都在心裡殺過人──****但是,你絕對無法想像這樣的謀殺。◣深呼吸,準備體驗犯罪藝術新境界◢NETFLIX影集Murder Mindfully****蓄弒待發!★德國年度暢銷冠軍小說,總銷量…

31 Jul 2026, 00:00 UTC209 viewsread 7 August 2026

傭兵天下 說不得大師 💰 NT$99 TWD 🎟 不須折扣碼 🛒 Kobo 購書 📝 在我們所不熟知的魔法與騎士的大陸上,一群平凡的年輕傭兵被歷史滾滾洪流捲入了三大勢力中,史詩般的故事在紅月曆192年拉開了最為波瀾壯闊的序幕。在這個充滿魔幻的世界中,小傭兵們想奮鬥,想與命運所抗衡,還曾…

31 Jul 2026, 00:00 UTC186 viewsread 7 August 2026

一本書讀懂美元:9堂課解析美元邏輯,如何影響全球經濟和每個人的投資 白釋鉉 백석현 💰 NT$99 TWD 🎟 不須折扣碼 🛒 Kobo 購書 📝 美國藉由美元掌握世界的錢包了解美元,才能看透金融市場的流動!最強匯率專家用零基礎就能懂的語言帶你看懂美元,看懂經濟!為什麼全世界的人都在用美元?什麼時候適合投資美元?美元匯率,究竟是上升好還是下降好?…

30 Jul 2026, 00:00 UTC220 viewsread 7 August 2026

階級與品味:隱藏在文化審美與流行趨勢背後的地位渴望 W‧大衛‧馬克思 💰 NT$99 TWD 🎟 不須折扣碼 🛒 Kobo 購書 ⭐ 3.7 / 5 (7 則) 📝 是個人意志的審美標準定義了品味,還是階級地位的高低決定了品味的價值?身分地位與品味之間,也有一隻看不見的手──披頭四的拖把頭造型、《慾望城市》凱莉的杯子蛋糕、精品般的沛綠雅氣泡水......一度被視為…

29 Jul 2026, 00:00 UTC233 viewsread 7 August 2026

舌尖上的香料史:走過5000年,主宰政治、貿易、飲食的風味 伊恩・安德森 💰 NT$99 NT$385 -74% 🎟 不須折扣碼 🛒 Kobo 購書 📝 第一個全球商品竟然是黑胡椒?哥倫布發現美洲大陸,竟是因為想追尋香料?香料最初的作用是藥用?糖在16世紀前,相當昂貴?黑胡椒竟然可以治療打噴嚏?你以為香料只是料理的陪襯?那可不定!數千年來,香料是一種「…

Showing the 12 most recent of 20 posts we hold for @kobo_99_notifier. 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.

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

“樂天 Kobo 書城優惠電子書推播” (@kobo_99_notifier), 1,363 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/kobo_99_notifier.

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.