https://youtu.be/1cTZ-Pa9vho?si=NiotqIyThssnk4NM

Channel
龙言龙语
@dragon_talk
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
540subscribers
-5 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 | -1001328410750 |
|---|---|
| Type | Channel |
| Username | @dragon_talk |
| Created | Between 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 21 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 21 August 2026 |
| On Telegram | t.me/dragon_talk |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 21 Aug 2026, 15:25 | 540 | -5 |
| 8 Aug 2026, 03:04 | 545 | no change |
| 7 Aug 2026, 05:32 | 545 | first reading |
Engagement
20 posts held, back to 17 April 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 pageof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 12.3%
- avg views ÷ 540 subscribers
- Avg views / post
- 66.5
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- 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.
| Window | Rolling 30 days · latest post in window 30 July 2026 |
|---|---|
| Posts held | 20 (17 April 2026 – 30 July 2026) |
| Views total | 133 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 05:32 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
2 reactions across 2 posts, in 2 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1 | 50.0% | |
| 🔥 | 1 | 50.0% |
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 2 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 2reactions 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 17 April 2026 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
https://youtu.be/7HeHooHKDiA?si=wcm40rxZWRHcelUW
第一次看到FotoKem的70mm印片机 https://youtu.be/aGe8bl6Q3uM?si=bLVsPxXZ5sCEobWc
爱看这种贴脸开大 https://youtu.be/AFLcP-t0-kI?si=OF63ByTdRHAIHQBZ
熟悉的水曜日的康帕内拉回来了 https://www.youtube.com/watch?v=aPqijlZlCVg
https://youtu.be/u_o8kpY7EEs?si=Jal4fag9JMsB6Uls
我给 NVEncC 加了一条 CUDA ProRes 解码路径 - qwe7989199的文章 - 知乎 https://zhuanlan.zhihu.com/p/2036145613859976788
🔥1
学习了 为什么很多游戏在第一次进入时编译着色器? - 酱紫君的回答 - 知乎 https://www.zhihu.com/question/592771174/answer/1980668466290786641
实话说就我的个人体验来看,高校里的心理危机干预制度比形同虚设还要差一点,主要的作用是提供甩锅的借口。
上海二工大学生受到老师「不要睡觉」提醒后,怒吼「sha sha」,高校如何识别和干预心理危机中的学生? - 奈良最超品 的回答 - 知乎 https://www.zhihu.com/question/2040730176561075587/answer/2041237936629364535
欧歌赛的分发自动化 https://www.youtube.com/watch?v=2uAP9pZIBB0
我认为胶片(延伸开来许多模拟介质也是)似乎是在一定程度上反技术性的。 不是说胶片本身有多不技术,显然从拍摄到成像到观看这个过程中,胶片需要的技术性远比数码多。 但在得到了成像的这个过程中,我认为胶片是一种 concealment。它没有 EXIF,没有 GPS,没有拍摄器材,没有场景信息,甚至没有一个 .jpg 这样的后缀。它就是一个物理的画面,conceal 了所有的 truths。其中包括了所有的 context,以及或许更重要的,技术性。 再加上它是个物理媒介,你可能有几百种方式去观看它。几百种合适或者不合适、正确或者不正确的方式。这个和你用错误的方式打开/渲染一个数字文档又是不一样的。后者的技术性或多或少是前置的,哪怕你正确地开启其实也还是无法完全绕过技术性的、科技的 mediation。而你摆弄一个彩色塑料片时,技术性貌似会更加隐蔽一些。 我是这么想的。
Showing the 12 most recent of 20 posts we hold for @dragon_talk. 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.
Forward network
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 21 August 2026 — this entry's latest reading, not the date you are reading this.
“龙言龙语” (@dragon_talk), 540 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/dragon_talk.
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.