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Channel

中外美文語錄

@NiceQuotes123

On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

5,617subscribers

+0 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-1001473846967
TypeChannel
Username@NiceQuotes123
CreatedBetween 1 April 2019 and 30 September 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live29 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 29 August 2026
On Telegramt.me/NiceQuotes123

Growth

5,6095,6225,615.57 August 2026 — 5,617 subscribers7 August 2026 — 5,617 subscribers9 August 2026 — 5,614 subscribers13 August 2026 — 5,609 subscribers16 August 2026 — 5,611 subscribers19 August 2026 — 5,619 subscribers23 August 2026 — 5,620 subscribers26 August 2026 — 5,622 subscribers29 August 2026 — 5,617 subscribers5,6177 August 202629 August 2026
9 measurements spanning 23 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 5,607–5,624 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
29 Aug 2026, 23:375,617-5
26 Aug 2026, 17:175,622+2
23 Aug 2026, 23:125,620+1
19 Aug 2026, 22:145,619+8
16 Aug 2026, 17:155,611+2
13 Aug 2026, 08:265,609-5
9 Aug 2026, 21:525,614-3
7 Aug 2026, 02:155,617no change
7 Aug 2026, 02:095,617first reading

Engagement

23 posts held, back to 1 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 8 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.50%
avg views ÷ 5,617 subscribers
Avg views / post
253
6 posts measured
Reaction rate
0.318%
reactions ÷ views · ER floor
Posts in window
6
of 23 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 3 of 6 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 10 August 2026
Posts held23 (1 June 202610 August 2026)
Views total1,517
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 04:04 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

15 reactions across 8 posts, in 3 distinct kinds. The most used accounts for 60.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
960.0%
👍533.3%
🥰16.67%

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 9 of the 23 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 15 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 1 June 2026 to 10 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

10 Aug 2026, 05:17 UTC128 viewsread 12 August 2026

There are things so deep and complex that only intuition can reach it in our stage of development as human beings John Astin

10 Aug 2026, 05:14 UTC127 viewsread 12 August 2026

We know what we are, but know not what we may be. William Shakespeare

8 Aug 2026, 03:39 UTC198 views1 reactionsread 12 August 2026
Forwarded from @PurpleCloud2025

有福不用忙, 無福跑斷腸。 佛教“有福不用忙,無福跑斷腸”, 做到這四點,福報滿滿! 什麼是福?福不是你有多少錢,有多少房產,或者擔任多麼高的官,真正的福不是外在物質的多寡,而是內心的幸福與自在。在佛教看來,每個人的福報是自己修來的,也是有定數的,如果不懂得惜福、修福,一味消耗,福報殆盡,苦果就來了。 佛法就是因果,佛門裡有那麼句話,“欲知前世因,今生受者是;欲知後世果,今生作者是”,今生有福,那是前世積累的善業,今生受到善報;來生若想福報連連,就要種好今生的善因。沒有誰無緣無故受到命運的垂青,一切皆有因緣,一切自有因果。 我們常說一句話:沒有福報和智慧,再多的奔波都是苦累。“福人居福地,福地福人居”,有福報的人,不用去爭去搶,該屬於人家的,跑不了。反之,不屬於自己的,強求也求不得。在生活中,我們發現,有福報的人,往往諸事比較順遂,所求所願皆得成圓滿,羨煞旁人。而沒有福報的人,往往拼命去爭,也難以有所得到。人人都想有福,

1

3 Aug 2026, 19:03 UTC353 views1 reactionsread 12 August 2026

Everyone has heard about your obedience, so I rejoice because of you; but I want you to be wise about what is good, and innocent about what is evil. ( Romans 16:19 NIV ) 你們的順服已經傳於眾人,所以我為你們歡喜;但我願意你們在善上聰明,在惡上愚拙。 ( 羅馬書 16:19 和合本 )

🥰1

28 Jul 2026, 02:52 UTC585 views2 reactionsread 12 August 2026

I wanna write "I miss you" on a rock and throw it to your face so you will know how much it hurts to miss you. 我想把“我想你”写在一块石头上,然后扔在你脸上,你就会知道想你有多么痛了。

2

24 Jul 2026, 04:45 UTC570 viewsread 12 August 2026

放言五首.其五 白居易 泰山不要欺毫末,顏子無心羨老彭。 松樹千年終是朽,槿花一日自為榮。 何須戀世常憂死,亦莫嫌身漫厭生。 生去死來都是幻,幻人哀樂系何情。

23 Jul 2026, 14:34 UTC572 views1 reactionsread 12 August 2026

《史蒂夫・賈伯斯傳》經典原文名句 1. Stay hungry, Stay foolish. 求知若飢,虛心若愚。 2. 你無法預先把點點滴滴串連起來;只有回顧過去,你才明白它們如何相連。 3. 記得你終將死去,是我做出重大選擇最重要的工具。 4. 只有那些瘋狂到認為自己能夠改變世界的人,才能真正改變世界。 (Think Different 廣告文案) 5. 過程本身就是獎勵。

1

21 Jul 2026, 05:43 UTC569 viewsread 12 August 2026
Forwarded from @PurpleCloud2025

守安禅师: 南台静坐一炉香,亘日凝然万虑忘, 不是息心去妄想,都缘无事可思量。

Showing the 12 most recent of 23 posts we hold for @NiceQuotes123. 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 — 87,845 of 1,629,518 entries 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.

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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

影音中国(中国被禁的视频)
@TwtVideoOfChina · 73,326
Telegram ranks this channel #52 of 54 here — alongside 53 others — read 20 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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

“中外美文語錄” (@NiceQuotes123), 5,617 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/NiceQuotes123.

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.