Telegram RegisterThe public register of Telegram

Channel

Legado|开源阅读|频道

@Legado_Channels

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

92,820subscribers

+53 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001408233101
TypeChannel
Username@Legado_Channels
Description频道内发布小说推文、阅读APK、书源、主题字体及部分阅读重要通知等。 - 频道导航(若失效看置顶即可):https://t.me/Legado_Channels/1116 入群须知:https://t.me/Legado_Channels/1445 - 建于 2020/10/15
CreatedBetween 1 April 2019 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/Legado_Channels

Growth

92,76792,82492,795.57 August 2026 — 92,767 subscribers7 August 2026 — 92,767 subscribers7 August 2026 — 92,770 subscribers8 August 2026 — 92,784 subscribers9 August 2026 — 92,806 subscribers10 August 2026 — 92,824 subscribers11 August 2026 — 92,822 subscribers12 August 2026 — 92,820 subscribers92,8207 August 202612 August 2026
8 measurements spanning 5 days, net +53. 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 92,758–92,833 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 04:5892,820-2
11 Aug 2026, 07:1492,822-2
10 Aug 2026, 10:3192,824+18
9 Aug 2026, 11:3292,806+22
8 Aug 2026, 07:5692,784+14
7 Aug 2026, 10:2692,770+3
7 Aug 2026, 00:4592,767no change
7 Aug 2026, 00:3592,767first reading

Engagement

9 posts held, back to 12 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
21.7%
avg views ÷ 92,820 subscribers
Avg views / post
20,100
6 posts measured
Reaction rate
0.401%
reactions ÷ views · ER floor
Posts in window
7
of 9 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 5 August 2026
Posts held9 (12 July 20265 August 2026)
Views total120,600
Reactions total484
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 18:39 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
577
Videos
4
Links
329

Lifetime counters from Telegram’s own channel header, read 12 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

521 reactions across 8 posts, in 11 distinct kinds. The most used accounts for 41.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
💩21741.7%
😁12223.4%
9718.6%
👍6312.1%
🤣61.15%
🔥40.768%
🕊30.576%
😱30.576%
🤮30.576%
🤔20.384%
👏10.192%

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 8 of the 9 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 521reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 12 July 2026 to 5 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

5 Aug 2026, 14:01 UTC≈10,900 views26 reactionsread 12 August 2026
Photo

看到公众号发了个有趣的小活动,我们也来玩玩吧。 不提小说名,一句话让别人知道你说的是哪本小说? #小说 #交流

22🔥4

3 Aug 2026, 20:22 UTC≈13,300 views62 reactionsread 12 August 2026

以后Beta版有任何问题请去提交issues,以后不再接受:群内、私聊等不方便的提交方式,只需按要求提交issues,你的问题将能够在最短时间内被Ai自动化处理,提升处理、沟通效率,提交地址:issues #beta

👍469🤣6😁1

Signed 喵公子

31 Jul 2026, 05:20 UTC≈18,900 views90 reactionsread 12 August 2026
Photo

【天蚕土豆新书《神通者》开启预约】 土豆的番茄新书活动,答题测试挺有意思的,后面几本我没看答不了满分😂 #番茄 #活动

💩756🕊3🤮3😱3

17 Jul 2026, 16:20 UTC≈25,400 views126 reactionsread 12 August 2026
Photo

Photo, posted without a caption

😁1215

17 Jul 2026, 16:19 UTCviews —

Legado|开源阅读|频道 pinned «最近我在用GPT、Claude等在写代码,然后用了一下这个中转,感觉还可以,然后给你们谈到了一个专属优惠,大家可以通过下面的邀请链接注册:喵公子特供优惠 目前可享受一次 10 元兑换 66U的优惠。以 GPT 0.2 倍倍率计算,理论上相当于 10 元可使用约 330 美元额度;后续充值还可享受 85 折优惠。»

16 Jul 2026, 05:58 UTC≈23,500 views158 reactionsread 12 August 2026

最近我在用GPT、Claude等在写代码,然后用了一下这个中转,感觉还可以,然后给你们谈到了一个专属优惠,大家可以通过下面的邀请链接注册:喵公子特供优惠 目前可享受一次 10 元兑换 66U的优惠。以 GPT 0.2 倍倍率计算,理论上相当于 10 元可使用约 330 美元额度;后续充值还可享受 85 折优惠。

💩142👍133

Signed 喵公子

12 Jul 2026, 03:57 UTC≈25,800 views19 reactionsread 12 August 2026

(进群聊发送,在频道发没用。不用回复本消息)ios端已整理,均为群友推荐,也欢迎继续推荐。在群聊发送ios即可。对于以上程序,也欢迎群友试毒并留言。

13👍4👏1🤔1

12 Jul 2026, 03:46 UTC≈26,300 views18 reactionsread 12 August 2026
Photo

ios/读不舍手 读不舍手——享受纯粹阅读之旅的必备应用 读不舍手是一款专为热爱阅读的用户量身定制的移动应用程序,为您提供无干扰、沉浸式的阅读体验。 核心优势: 纯粹阅读:我们深知您热爱阅读,因此读不舍手去除了所有繁杂的功能,只为您提供专注的阅读空间,让您远离喧嚣,沉浸在书海中。 丰富书籍资源:不仅内置了TXT格式书籍的阅读器,而且我们将不断丰富书籍资源,满足您不同类型书籍的阅读需求。 便捷的网络书籍获取:只需简单的操作,您就可以通过读不舍手在互联网上搜索并解析出各类书籍。此外,我们还与部分「阅读」应用的书源兼容,为您提供更多选择。 个性化阅读体验:读不舍手支持多种字体、字间距、背景色和文字颜色的自定义,让您打造属于自己的阅读风格。同时,我们还提供夜间模式,让您在任何环境下都能享受舒适的阅读体验。 读不舍手——让您每一次的阅读都成为一次深刻的思考与享受。快来加入我们,共同开启纯粹的阅读之旅吧! [青铜会员自动续费订阅说明] 订阅

18

Showing the 9 most recent of 9 posts we hold for @Legado_Channels. 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 — 223,205 of 1,084,084entries 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

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 3 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.

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

“Legado|开源阅读|频道” (@Legado_Channels), 92,820 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Legado_Channels.

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.