Telegram RegisterThe public register of Telegram

Channel

DPS Books

@dps_books

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

859subscribers

+0 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-1001752918458
TypeChannel
Username@dps_books
DescriptionSharing book snippets by DPS
CreatedBetween 1 December 2021 and 31 March 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held2
On Telegramt.me/dps_books

Growth

8597 Aug 2026, 13:33 — 859 subscribers8 Aug 2026, 01:18 — 859 subscribers7 Aug 2026, 13:338 Aug 2026, 01:18
2 measurements taken within a single day. 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 858–860 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 01:18859no change
7 Aug 2026, 13:33859first reading

Engagement

19 posts held, back to 27 September 2025the 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
51.7%
avg views ÷ 859 subscribers
Avg views / post
444
4 posts measured
Reaction rate
0.507%
reactions ÷ views · ER floor
Posts in window
4
of 19 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 30 July 2026
Posts held19 (27 September 202530 July 2026)
Views total1,776
Reactions total9
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 01:18 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
253
Links
120

Lifetime counters from Telegram’s own channel header, read 8 August 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.

Reaction mix

18 reactions across 6 posts, in 4 distinct kinds. The most used accounts for 44.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
844.4%
❤‍🔥422.2%
👍422.2%
🥰211.1%

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 6 of the 19 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 18reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 27 September 2025 to 30 July 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

30 Jul 2026, 02:40 UTC167 views1 reactionsread 8 August 2026
Photo

奥巴马的2026夏季书单 https://x.com/barackobama/status/2082572074208395552

👍1

24 Jul 2026, 09:16 UTC301 views1 reactionsread 8 August 2026
Photo

其实早就读完了英文版的《黎智英传》,买一本纸质版之处吧

1

19 Jul 2026, 14:35 UTC363 views1 reactionsread 8 August 2026

一口气看了几个《台湾漫游录》作者杨若慈(笔名杨双子)的访谈,大概理解为什么这本书获得多个奖项的同时,会被中国封禁。 最简单的回答就是杨双子在领取美国国家图书奖时的发言:一百年前,我们告诉日本人,台湾是台湾的台湾;一百年后,我们告诉中国,台湾是台湾人的台湾。 要理解这段话,首先要理解她的身世。双子在日语里是双胞胎的意思,因为她还有个双胞胎妹妹杨若晖。她们从小在眷村长大,四五岁的时候,父母离异,她们就与奶奶一起生活。 奶奶在他们十四岁离世,于是只剩下姐妹俩相依为命。从此她们自力更生。直到24岁时,妹妹确诊癌症,六年后去世。杨若慈说,直到三十岁时,她才发现自己需要独立生活。 尽管生在台湾长在台湾,她的自我认同是台湾人,但因为生活在眷村(即她的父母随国民党迁往台湾),所以在台湾本省人看来,她属于外省人。这就造成了她极大的自我认同冲击。明明自己认为自己是台湾人,但其他人却认为她是外省人。这也是在《台湾漫游录》不断重复的主题,从“推

👍1

18 Jul 2026, 16:07 UTC945 views6 reactionsread 8 August 2026
Photo

自由就是想读什么书就能读什么书

❤‍🔥4🥰2

23 May 2026, 08:08 UTC656 views7 reactionsread 8 August 2026
Forwarded from @MothLibPhoto

⚠️本频道停更通知⚠️ 因个人精力原因,本频道将于5月18日起(不含)不全面停更,原有已存内容不受影响,各位可自行检索已有书籍。 读书会不受影响,照例每月第一个周六举行。 5月16日和17日将集中上传库存的约三百本书籍的电子书,请诸位自行拾取。

7

11 Apr 2026, 15:01 UTC≈1,870 viewsread 8 August 2026
Photo

原来王家卫把《花样年华》的结尾放在吴哥窟拍,就是因为不可能。

18 Jan 2026, 09:09 UTC≈1,170 views2 reactionsread 8 August 2026

用 Claude Code 把不同书里的内容串起来,感觉可以用这些年在 Apple Books 高亮的内容试试这个方法: https://pieterma.es/syntopic-reading-claude/

👍2

7 Jan 2026, 08:38 UTC≈1,900 viewsread 8 August 2026

读了前面几章,黎智英真是满满的 street smart: 1. 为了获得逃港通行证,他帮助一个官员举报申请住进他家祖宅的其他申请者,最后这个官员如愿住进了他家祖宅,他也获得了逃港通行证; 2. 逃港前,母亲怕他饿着,在他的内裤里缝了一块金币;出境前,他发现队伍前面有人被搜身,搜出了身上的金砖。他毫不犹豫地把身上唯一的一枚金币丢弃,身无分文地进入香港; 3. 买第一个工厂时,另外一个买家信用比他好,资金比他充分。他跑去和人家说,自己有相熟的算命先生,朋友之前算了很灵验,可以帮忙介绍一下。其实他根本没有认识的算命先生,也没有这样的朋友经历。他去黄大仙现找了一个算命师傅,编号了故事,然后高价贿赂。最后那个买家去找了那个算命先生,听信了黎的故事,放弃了购买。黎顺利拿下厂房,然后把那个买家变成了自己的供应商; 4. 香港的纺织业一发冲天,英美分分提出法案限制从香港进口。没想到黎智英靠这个配额狠赚了一笔,先是通过调整原材料比例发明

18 Oct 2025, 10:12 UTC≈1,130 viewsread 8 August 2026
Photo

终于读完了这一本书,梁启智写得平静又克制。 其实最核心的问题就是一个程序正义:既然制定了游戏规则,那么所有人都要遵守这些规则,不能不遵守规则,还朝令夕改。 和朋友聊起韩国前几个月的宵禁,ta 就自豪地说,你看总统瞎搞,韩国全国上下都不同意,半个小时议会就把宵禁令推翻了。现在总统已经蹲监狱了。 所以要问一个地方有没有希望,首先要看有没有程序正义。

28 Sept 2025, 04:33 UTC≈1,000 viewsread 8 August 2026
Photo

原来 Dan Wang 的夫人 Silvia Lindtner 也是个中国通 https://www.silvialindtner.com

27 Sept 2025, 01:45 UTC807 viewsread 8 August 2026

The iPhone has become one of the rarest sorts of consumer products-both ubiquitous and coveted as a status object. It is also the crowning success of the trade relationship between two countries, in which American inspiration and marketing savvy met China's millions of workers, managed by contract manufacturers like Taiwan's Foxconn, to make state-of-the-art electronics. It wasn't easy to organize a workforce to asse

27 Sept 2025, 01:44 UTC707 viewsread 8 August 2026

Overreliance on Chinese manufacturing accelerated US neglect of its supply side. Meanwhile, China hasn't felt the need to wean off its dependence on exports because American consumers are always there to buy its goods. As these countries grow apart, they are going to have to do something difficult: The United States will have to regain all the muscle it has lost for building public works as well as manufacturing capa

Showing the 12 most recent of 19 posts we hold for @dps_books. 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 — 438,171 of 1,176,251entries 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.

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

“DPS Books” (@dps_books), 859 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/dps_books.

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.