现在早恋会不会太晚了? 意识到的时候我已经在

Channel
LydiaPod
@LydiaPod
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,134subscribers
-2 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1003471026810 |
|---|---|
| Type | Channel |
| Username | @LydiaPod |
| Created | Between 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/LydiaPod |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 15:14 | 1,134 | -2 |
| 8 Aug 2026, 07:00 | 1,136 | no change |
| 8 Aug 2026, 06:50 | 1,136 | first reading |
Engagement
20 posts held, back to 22 July 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
- 16.5%
- avg views ÷ 1,134 subscribers
- Avg views / post
- 187
- 19 posts measured
- Reaction rate
- 1.59%
- reactions ÷ views · ER floor
- Posts in window
- 20
- 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 13 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 8 August 2026 |
|---|---|
| Posts held | 20 (22 July 2026 – 8 August 2026) |
| Views total | 3,551 |
| Reactions total | 41 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 07:00 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
41 reactions across 13 posts, in 2 distinct kinds. The most used accounts for 90.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 37 | 90.2% | |
| 👍 | 4 | 9.76% |
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 13 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 41reactions 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 22 July 2026 to 8 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
“天资是一种很残忍的东西” & “天真的残忍” 这俩文案真是越看越恶心。 青春疼痛文学的油滑正在此,把人和人幽微的异质性扯淡成一种宏大宿命的影子,丝毫不管 “残忍” 这个词的真实道德重量。 残忍不是无知的特权阶层的锋利美甲。残忍是取笑他人的残缺、利用他人的痛苦,残忍是一种明知故问的恶意。 残忍就是残忍,失败和伤害一定有迹可循,不可以就这样轻飘飘地推给命运。 #哲学毁了我的三胎
海运买书又学到两个可爱的知识: “八角尖尖”是精装书运输后状态良好的最高赞誉 知名艺术出版商TASCHEN的中文名叫“善本” #潜伏创作人类学小品中
❤1
对我来说,脱离学生气的最重要一步是意识到现实世界并不如物理公式一样洁净。 真实世界的协作质量经常低得惊人,你很难想象拥有正常智力的人类就这样被虚荣、猜忌、争功、甩锅消耗掉了大量生命。也因此,如果恰好有几个诚实、彼此信任且不急着抢功劳的人聚在一起,就已经是极其稀缺的优秀团队了。 而我创作和工作的底层信念之“让他人因我的存在变得更强大、更有行动力”,在这种环境下才能真正具有力量,不至于被一人一脚踩成乖学生的廉价利他主义。 #力工随想
❤3
LydiaPod pinned «我们一行五个人,在新山萤火虫基地的码头等船。 这是当天的最后一班船,岸上人群稀稀拉拉的,围成一个松散的圆。 我是圆外一个离散的点,盯着两只蟾蜍雕塑出神。 同伴们在圆的1点钟位置唤了一声,我便下意识往那方向挪了一步,耳后随即炸开一声幽幽的 “你们是不是不知道怎么排队。” 说话的是一个三四十岁的华人男性,听口音是马来西亚或者新加坡人。 美景在前,我们自然不愿吵架。同伴里一人说: “我们本就是第一个来的,你可以问向导。” 他随后又说:“不过没关系,我们可以最后一个上。” 随即拉上所有人退到圆的6点钟。…»
我们一行五个人,在新山萤火虫基地的码头等船。 这是当天的最后一班船,岸上人群稀稀拉拉的,围成一个松散的圆。 我是圆外一个离散的点,盯着两只蟾蜍雕塑出神。 同伴们在圆的1点钟位置唤了一声,我便下意识往那方向挪了一步,耳后随即炸开一声幽幽的 “你们是不是不知道怎么排队。” 说话的是一个三四十岁的华人男性,听口音是马来西亚或者新加坡人。 美景在前,我们自然不愿吵架。同伴里一人说: “我们本就是第一个来的,你可以问向导。” 他随后又说:“不过没关系,我们可以最后一个上。” 随即拉上所有人退到圆的6点钟。 若是提醒,便也到此为止了。船不大,人不多,萤火虫集中在岸旁的灌木丛,前后左右并无头等舱二等座的区别。 但对方慢悠悠把一样的话重复了一遍,还加上了一句 “这么爱往前挤,没素质。”我心道不好,遇上找茬的了,事情可能没这么好解决。 这时我发现他手里还牵着一个5岁左右的小孩,旁边跟着一个老年男子,看起来是小孩的爷爷。小孩和老人都…
❤10
经济学家假设公司的超前或落后都有着充分理性的理由,但真实情况天差地别。个别企业的衰退,以及过程中人类面对的困境,很可能只是因为一些随机的、主观的因素,而它们本来是可逆的、可以补救的。 导入微信读书,选择繁中转简中,然后回来感谢我。 #力工随想
❤1
Chief of Staff (幕僚长) 是现代公司制里一个颇具古典气息的职位。 幕僚长的主要价值是管理权力者对组织的感觉,并持续给其认知负担减压,通过: 1. 把权力者的模糊意志 break down 成组织可以识别的语言 2. 把混乱的协作关系整理成看起来可控的执行流程 3. 持续向上向下输出“事情正在稳步推进”的确定感 幕僚长的权力来源是让权力者觉得世界清晰可控。 #力工随想
❤1
一个有野心的作者不会写好“嬷”的人物。 “嬷”的本质和 porn 并无两样,都是角色讨巧地令读者产生欲望。 “苏”比“嬷”高级在,角色在读者脑海里取得了运作主动权,角色有自己的使命、判断和边界,读者追逐 ta、揣测 ta,被 ta 拒绝,所以 ta 偶尔投过来的一瞥才有千钧之力。 - 亚修拥有顶级配置却无人敢嬷无人说苏,实在是非常之罕见的一种情感结构。作者以狠辣稳健的笔力布置下天罗地网的提醒:凝视他的美丽,渴望他的天赋,消费他的创伤的人,和故事里那些恶心的反派又有什么区别? Banana Fish 的伟大之处正在于,作者成功地把这种克制的、不敢占有的、近乎放生的爱传递给了每一个观众。我们每个人都变成 prayer x,双手合十,祈祷这样一个神明般的人物可以逃出这个故事,消失在茫茫人海里,去过一种无人观看的生活。 #惊堂木一拍
师承背后是一套谦卑的世界观。 现代人被各种“独家”“首创”“第一”淹没了。学校是获得文凭的机构,老师是出题折磨我的权威。人和人的关系速生速死,我终究是茕茕孑立地活着,从零开始,自我发明,复归于零。 但师承,尤其经年累月言传身教的身体性师承,无言中坚定地告诉你,学习的一切都并非凭空而来,哪怕离开再久,你的身体也无法掩盖这条脉络清晰的来路。 这条路上的所有人都只是承载者,没有人有资格宣称发明、垄断和拥有。也因此,师承这种古老的结构那么接近无限。 #潜伏创作人类学小品中
👍3
“既然你提到A,那么请允许我借此说明,我在A领域获得过怎样的肯定。” ——嘿,您是个好人,对我也不错。但我需要您停止在每次对话开始三分钟内就把话题引向自己。我从未答应要进入您的形象工程,我不愿意担任这套赞美程序的剪彩者。 #惊堂木一拍
如同眼眶溢出的泪水般 这段如此绚烂而短暂的生命 如果你想知道制作组对一个角色最肃穆的敬意和最深沉的爱意能是什么样的,看Banana Fish就够了。
❤3
Showing the 12 most recent of 20 posts we hold for @LydiaPod. 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 — 298,387 of 1,183,361entries 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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“LydiaPod” (@LydiaPod), 1,134 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/LydiaPod.
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.