Telegram RegisterThe public register of Telegram

Channel

名言堂

@mingyantang

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

36subscribers

+1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002330751772
TypeChannel
Username@mingyantang
Description✅ 每日收获精选名言,积累金句、丰富表达 ✅ 读懂经典背后的故事,深化对文学与思想的理解 ✅ 汲取前行的力量,在文字中找到共鸣与方向 Telegram最全RSS自动推送,一键订阅全网热点: @TGRSS
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded10 August 2026
Last confirmed live10 August 2026
Measurements held3
On Telegramt.me/mingyantang

Growth

353635.56 August 2026 — 35 subscribers7 August 2026 — 36 subscribers10 August 2026 — 36 subscribers6 August 202610 August 2026
3 measurements spanning 4 days, net +1. 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 35–36 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 22:1636no change
7 Aug 2026, 11:0536+1
6 Aug 2026, 19:5235first reading

Engagement

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

ERR · 30 days
33.1%
avg views ÷ 36 subscribers
Avg views / post
11.9
12 posts measured
Reaction rate
4.17%
reactions ÷ views · ER floor
Posts in window
12
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 1 of 12 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 held20 (15 June 202610 August 2026)
Views total143
Reactions total1
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Aug 2026, 22:16 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
64
Links
66

Lifetime counters from Telegram’s own channel header, read 10 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

1 reaction across 1 post, in 1 kind.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1100.0%

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 1 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 1reactions 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 15 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, 16:06 UTC1 viewsread 10 August 2026
Photo

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10 Aug 2026, 14:30 UTC1 viewsread 10 August 2026
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10 Aug 2026, 04:28 UTC2 viewsread 10 August 2026
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3 Aug 2026, 12:27 UTC12 viewsread 10 August 2026
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31 Jul 2026, 11:12 UTC10 viewsread 10 August 2026
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Google CEO 皮查伊 史丹佛演讲: 人生如何做出正确的选择?三个「过滤器」,帮你迈向未来|Sundar Pichai| 史丹佛大学毕业典礼|2026.6.14 👉【加入會員按鈕】https://www.youtube.com/channel/UC1Xm-VhWUqZcPCCN5R2MniA/join 🧠【101個思維模型】https://www.youtube.com/playlist?list=PLhj0Av_L8Rg84gjtYwAJGQsAAyHYptN5F ✉️【巴菲特致股東信系列 】https://www.youtube.com/playlist?list=PLhj0Av_L8Rg-l7PKY_RpSYIck46rhSDvf 💡 Google 執行長桑德爾·皮查伊(Sundar Pichai)於 2026 年 6 月 14 日在母校斯坦福大學畢業典禮發表了一場不談 AI、聚焦人生抉擇與三大核心準則(選擇樂

30 Jul 2026, 11:01 UTC10 viewsread 10 August 2026
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史上最搞笑毕业演讲,康纳 Conan O'Brien:狂开地狱梗,炸场哈佛大学⋯⋯|哈佛大学毕业典礼致词|2026.5.28 |柯南|康纳·欧布莱恩 👉【加入會員按鈕】https://www.youtube.com/channel/UC1Xm-VhWUqZcPCCN5R2MniA/join 🧠【101個思維模型】https://www.youtube.com/playlist?list=PLhj0Av_L8Rg84gjtYwAJGQsAAyHYptN5F ✉️【巴菲特致股東信系列 】https://www.youtube.com/playlist?list=PLhj0Av_L8Rg-l7PKY_RpSYIck46rhSDvf 💡知名脫口秀主持人康納·歐布萊恩(Conan O'Brien)於 2026 年 5 月重返母校,在第 375 屆哈佛大學畢業典禮上發表幽默而深刻的演講,並獲頒榮譽博士學位。他以自身經歷勉勵畢業生撕掉名

29 Jul 2026, 11:06 UTC13 viewsread 10 August 2026
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Ronny Chieng 钱信伊 哈佛演讲: AI 让所有东西看起来都像屎,我希望你们⋯⋯|哈佛大学毕业 Class Day|2026.5.27 👉【加入會員按鈕】https://www.youtube.com/channel/UC1Xm-VhWUqZcPCCN5R2MniA/join 🧠【101個思維模型】https://www.youtube.com/playlist?list=PLhj0Av_L8Rg84gjtYwAJGQsAAyHYptN5F ✉️【巴菲特致股東信系列 】https://www.youtube.com/playlist?list=PLhj0Av_L8Rg-l7PKY_RpSYIck46rhSDvf 💡 🔔相關譯名備註: 華倫·巴菲特 = 沃伦·巴菲特 = Warren Buffett 波克夏·海瑟威 = 伯克希尔·哈撒韦 = Berkshire Hathaway 查理·蒙格 = 查理·芒格 =

28 Jul 2026, 12:49 UTC12 viewsread 10 August 2026
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NVIDIA 黄仁勋 2026 CMU 演讲: AI 不会取代你,但这些人可能会|迎接历史上最重大变革⋯|Jensen Huang | CMU |2026.5.11 👉【加入會員按鈕】https://www.youtube.com/channel/UC1Xm-VhWUqZcPCCN5R2MniA/join 🧠【101個思維模型】https://www.youtube.com/playlist?list=PLhj0Av_L8Rg84gjtYwAJGQsAAyHYptN5F ✉️【巴菲特致股東信系列 】https://www.youtube.com/playlist?list=PLhj0Av_L8Rg-l7PKY_RpSYIck46rhSDvf 💡 NVIDIA 執行長黃仁勳於 2026 年 5 月 10 日受邀出席美國卡內基美隆大學(CMU)2026 屆畢業典禮,獲頒科學與技術榮譽博士學位並發表主題演講,強調 AI 不會取代

27 Jul 2026, 13:25 UTC10 viewsread 10 August 2026
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🚀帮助您找到感兴趣的群组、频道和机器人 📊频道分析 📢官方频道

20 Jul 2026, 13:08 UTC24 viewsread 10 August 2026
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🚀帮助您找到感兴趣的群组、频道和机器人 📊频道分析 📢官方频道

19 Jul 2026, 11:53 UTC24 views1 reactionsread 10 August 2026
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AMD CEO 苏姿丰 2026 MIT 演讲: 未来最稀缺的人,不是最会用AI的人,而是⋯⋯|未来10年的新发现将超过过去30年|Lisa Su | MIT 👉【加入會員按鈕】https://www.youtube.com/channel/UC1Xm-VhWUqZcPCCN5R2MniA/join 🧠【101個思維模型】https://www.youtube.com/playlist?list=PLhj0Av_L8Rg84gjtYwAJGQsAAyHYptN5F ✉️【巴菲特致股東信系列 】https://www.youtube.com/playlist?list=PLhj0Av_L8Rg-l7PKY_RpSYIck46rhSDvf 💡 超微(AMD)執行長蘇姿丰於2026年5月28日,以傑出校友身分在麻省理工學院(MIT)的畢業典禮上發表了主旨演講。她在演講中回顧了自己於MIT的求學時光,並分享了她對人工智慧(AI)時

1

18 Jul 2026, 09:00 UTC24 viewsread 10 August 2026
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巴菲特 最新 CNBC访谈:当每个人都更喜欢赌博时,很难找到有价值的东西⋯⋯|投资Google的原因,对AI的看法,为何停止捐款盖茨基金会? ⋯⋯ |2026年7月15日 CNBC专访巴菲特 👉【加入會員按鈕】https://www.youtube.com/channel/UC1Xm-VhWUqZcPCCN5R2MniA/join 🧠【101個思維模型】https://www.youtube.com/playlist?list=PLhj0Av_L8Rg84gjtYwAJGQsAAyHYptN5F ✉️【巴菲特致股東信系列 】https://www.youtube.com/playlist?list=PLhj0Av_L8Rg-l7PKY_RpSYIck46rhSDvf 💡 2026年7月15日,波克夏發布聲明,巴菲特將價值近60億美元的B類股,捐給蘇珊·湯普森·巴菲特基金會及三個子女名下的基金會,停止延續二十年的蓋茨基金會捐贈

Showing the 12 most recent of 20 posts we hold for @mingyantang. 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 — 586,310 of 1,169,250entries 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.

Mentions

Named by 27 registered channels — 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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

“名言堂” (@mingyantang), 36 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/mingyantang.

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.