Channel
@DHYLGF
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
77subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002909375026 |
|---|---|
| Type | Channel |
| Usernames | @dhylcw @DHYLGF |
| Description | 本频道主要分享一些拓宽自我边界的课程！ 不成体系，每天学一点儿，用知识武装自己！ 期待大家多听多交流，虚心接受任何建议！ #Telegram #University #Enlightenment #Course #System #Sharing #Channel #Group #Community |
| Created | Between 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 9 August 2026 |
| Measurements held | 3 |
| On Telegram | t.me/DHYLGF |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 9 Aug 2026, 20:15 | 77 | no change |
| 7 Aug 2026, 03:16 | 77 | no change |
| 7 Aug 2026, 03:14 | 77 | first reading |
20 posts held, back to 16 May 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 2 pagesof Telegram’s post history, 20 posts per page.
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 5 August 2026 |
|---|---|
| Posts held | 20 (16 May 2026 – 5 August 2026) |
| Views total | 29 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 9 Aug 2026, 20:15 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.
Lifetime counters from Telegram’s own channel header, read 9 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.
Measured directly from 2 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
3 reactions across 2 posts, in 1 kind.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 3 | 100.0% |
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 3 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 3reactions 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 16 May 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.
新功能上线：收藏与订阅 完整使用指南 收藏和订阅有什么区别 收藏适合保存以后还想查看的内容。收藏后，课程、栏目或期刊会出现在“我的收藏与订阅”中，但机器人不会主动推送更新。 订阅适合持续关注内容更新。到达设定的检查日期和推送时间后，机器人会检查订阅基线之后是否出现新文件；有更新才推送，没有更新不会打扰你。 订阅内容时会自动保留为收藏 TGQGLBot 以后取消订阅，只会停止更新提醒，不会自动删除收藏。 哪些内容可以收藏或订阅 单个课程； 电子书栏目； 听书解读栏目； 期刊杂志栏目； AI 学习圈等已开放栏目； 具体某一种期刊杂志。 课程、栏目或具体期刊页面下方会显示对应的收藏和订阅按钮。系统只跟踪订阅之后的新内容，不会把此前已经存在的全部历史文件作为新更新重新推送。 如何设置订阅周期 订阅时可以选择以下两种方式： 按天数间隔 可选择每 1～32 天检查一次。例如选择“每 7 天”，机器人会以订阅检查记录为基准安排…
今日更新内容已上架，涵盖电子书、课程、期刊等多个板块。 📚 电子书大上新 从AI变现、诈骗社会学、投资经典到儿童绘本、福尔摩斯探案、国家公园漫画，品类丰富。重点推荐《继承经济》《故事的力量》《我的模式人生》《你的孩子本就光芒万丈》。 🧠 深度课程继续更新 严飞社会学、万维钢思维工具、卓克科技参考抗衰老专题、尹烨健康参考体重管理、何刚投资参考世界杯启示、马江博政经参考大学与城市产业、王鼎杰战争史一战、徐弃郁中东简史十字军东征、赵金刚阳明学海外传播等均有新内容。程序员进阶攻略完整系列也在更新中。 📖 听书与期刊 《逐鹿》听书解读上线；《青年文摘》2026年第12期、《青年文摘·彩版》2026年第10期可阅读。 🎯 学习建议 1. 对商业变现感兴趣的，优先看AI机器人应用变现、社群营销、平民轻创业。 2. 孩子教育相关的家长，可翻阅儿童绘本与家庭教育类书籍。 3. 想提升认知，从万维钢、卓克、尹烨的课程开始，搭配《诈骗社会学》…
Telegram大学堂/悟道人生/课程体系/分享频道 Group pinned «今日更新内容已送达，涵盖科技、商业、历史、健康等多个领域。 🚀 #科学技前沿 卓克·科技参考5解析美国重返月球计划，刘怡·国际参考分析苹果新CEO能否带来创新，得到头条讨论苹果换帅使命。 💰 #商业与经济 刘润·商业报告解读博鳌论坛亚洲经济前景，何刚·投资参考比较A股创业板与科创板投资价值，马江博·政经参考探讨AI全面介入教育。 📚 #历史与文化 王鼎杰讲透战争史深入克里米亚战争工业化预演，刘勃讲中国史分析清朝博学鸿儒与满汉平衡，周之江书院推荐《七王国的骑士》衍生故事。 💪 #健康与生活 尹烨…»
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Showing the 12 most recent of 20 posts we hold for @DHYLGF. 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 — 877,403 of 1,160,990entries 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.
Named by 6 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 9 August 2026 — this entry's latest reading, not the date you are reading this.
“Telegram大学堂/悟道人生/课程体系/分享频道 Group” (@DHYLGF), 77 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/DHYLGF.
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.