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Channel

笔记本:Lin's 文字世界 : 个人见闻/B站视频/网络见闻

@LinsBookA

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

8,080subscribers

+70 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001420767960
TypeChannel
Username@LinsBookA
Description频道始于2019年6月,长期保持不太稳定的持续更新,内容主要以纯文字为主。伴有频道主的个人生活。 附属群聊:查看置顶 个人频道:https://t.me/LinYunChannel 小林的壁纸频道:https://t.me/linyunbook2 (暂停更新) 小林的头像频道:https://t.me/linyunbook4 (暂停更新)
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live5 November 2026
Measurements held22
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/LinsBookA

Topic

Personal blog — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 98% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

8,0048,0888,0466 August 2026 — 8,010 subscribers6 August 2026 — 8,010 subscribers9 August 2026 — 8,015 subscribers12 August 2026 — 8,004 subscribers16 August 2026 — 8,014 subscribers19 August 2026 — 8,012 subscribers23 August 2026 — 8,020 subscribers26 August 2026 — 8,014 subscribers29 August 2026 — 8,015 subscribers1 September 2026 — 8,019 subscribers10 September 2026 — 8,024 subscribers19 September 2026 — 8,031 subscribers29 September 2026 — 8,088 subscribers6 October 2026 — 8,068 subscribers12 October 2026 — 8,052 subscribers19 October 2026 — 8,059 subscribers22 October 2026 — 8,064 subscribers25 October 2026 — 8,061 subscribers27 October 2026 — 8,064 subscribers31 October 2026 — 8,071 subscribers2 November 2026 — 8,078 subscribers5 November 2026 — 8,080 subscribers8,0806 August 20265 November 2026
22 measurements spanning 91 days, net +70. 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 7,991–8,101 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 22
Measured (UTC)SubscribersChange
5 Nov 2026, 15:558,080+2
2 Nov 2026, 19:078,078+7
31 Oct 2026, 03:408,071+7
27 Oct 2026, 22:568,064+3
25 Oct 2026, 07:088,061-3
22 Oct 2026, 17:498,064+5
19 Oct 2026, 16:098,059+7
12 Oct 2026, 22:108,052-16
6 Oct 2026, 09:228,068-20
29 Sept 2026, 09:428,088+57
19 Sept 2026, 08:358,031+7
10 Sept 2026, 22:198,024+5
1 Sept 2026, 13:088,019+4
29 Aug 2026, 17:238,015+1
26 Aug 2026, 14:538,014-6
23 Aug 2026, 06:088,020+8
19 Aug 2026, 14:438,012-2
16 Aug 2026, 15:148,014+10
12 Aug 2026, 22:528,004-11
9 Aug 2026, 23:348,015first reading

Engagement

73 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 25 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.55%
avg views ÷ 8,080 subscribers
Avg views / post
690
24 posts measured
Reaction rate
0.752%
reactions ÷ views · ER floor
Posts in window
24
of 73 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 19 of 24 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 5 November 2026
Posts held73 (22 July 2026 – 5 November 2026)
Views total16,571
Reactions total103
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 23:33 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
≈1,250
Videos
≈16
Links
≈1,180

Lifetime counters from Telegram’s own channel header, read 5 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
47m 29s
Average length
23m 45s

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.

Reaction mix

238 reactions across 42 posts, in 20 distinct kinds. The most used accounts for 23.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤5723.9%
😁3213.4%
👍2610.9%
🤯218.82%
👏197.98%
😢197.98%
😇125.04%
🤔72.94%
🤣72.94%
😱62.52%
😭52.10%
👌41.68%
😨41.68%
🥰41.68%
👎31.26%
🤡31.26%
🤷‍♂31.26%
🥱31.26%
🤮20.84%
🙏10.42%

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 45 of the 73 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 238 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 73 most recent posts we hold, published 22 July 2026 to 5 November 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

Telegram’s own ‘edited’ marker: 3 of 24 posts held from the last 30 days (12.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

5 Nov 2026, 16:32 UTC143 views5 reactionsread 5 November 2026

【百度】ERNIE 5.5 Flash Base 发布:280B 总参数,单 token 激活 14B 11 月 5 日,百度在官方 X 账号宣布 ERNIE 5.5 Flash Base 发布。这是一个稀疏 MoE 语言模型,训练数据覆盖多个领域与语言,百度称它在同规模基座模型的多个基准上达到 SOTA。 架构和训练系统是配套设计的,目标是在训练与推理两端都保持效率,改动集中在注意力机制、专家路由和训练目标三处。规模方面,总参数 280B,每个 token 激活 14B;预训练消耗 33.5T token;微调与推理支持最长 100 万 token 上下文;权重提供 FP8 与 BF16 两种精度。 百度强调放出的是纯预训练权重,没有经过中期训练和后期训练。官方给出的用法是从同一个 checkpoint 出发对比各种方法,看每种方法各自能带来多少增益,再按自己的任务去调整模型。 #百度 #ERNIE #大模型 #x […

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5 Nov 2026, 05:30 UTC297 views5 reactionsread 5 November 2026
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【罐头辰Danny】游戏语言,好像正在替年轻人说真心话 想约朋友出门,直接说“最近状态差、需要人陪”会让人愣住,换成“晚上三排吗”就说得出口;谢谢同事说“非常感激您以后继续指教”像敬酒词,换成“哥以后还得靠你带飞”就自然了。作者罐头辰Danny认为,这类游戏用语正在替年轻人说真心话,所以标题起得夸张。 中文一直靠吸收词汇长大:佛教带来世界、烦恼、刹那,丝绸之路带来琵琶、骆驼,近现代有了沙发、咖啡、逻辑,社会科学和哲学经日本转译回来。行业黑话同样会进来,厂矿的掉链子、开足马力,曲艺的现挂、包袱。游戏是八零后到零零后的共同经验,自然也在往中文里添词。 作者拿标题去问一位三十五岁、在211高校教中文的老同学,本以为会得到夸奖,对方却把这些词批了一通:任何情绪都叫破防,人会慢慢失去描述复杂感受的能力;社会问题说成版本不行或系统有 bug,该有的追问被一起解构;不懂游戏的老人被挡在讨论之外。中国之声二〇二六年九月的报道援引调查,53…

❤2👍2😢1

Signed codexLinYun

4 Nov 2026, 04:45 UTC441 views8 reactionsread 5 November 2026
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【啊达杂谈】作为casino荷官,我见证了一个人从娱乐变成了赌徒 作者是洛杉矶赌场的一名荷官,他见过一个中国留学生怎么从娱乐变成赌徒。这人刚来时被朋友带来玩德州扑克,也在家和同学玩,输了钱但不至于借钱撒谎。后来他越玩越多、越输越多:洛杉矶赌场一到三百美元的桌子,一手抽七美元水钱,赢了还要给荷官一块小费,长期算下来赢不了,私局和赌场里作弊的也多。他不认输,别人又愿意教,输了大量钱,接着染上百家乐,学校不去了,家里还以为他在好好读书。 作者在饭桌上见过他给妈妈打电话:说同学都买车,他也想买,想谈女朋友带个儿媳回去,骗到钱就去赌。半年后再见,他二十二岁看着像三十二,满脸胡须,对吃饭、谈恋爱、打篮球都没感觉,只有摸牌时脑子才活过来。 妈妈替他还了太多次同学的债,已经不给钱,放弃了他。一次他堵在作者车里借一万,先说家里住着放高利贷的人,当天还不上会被打死,再降到五千、一千,全是谎话;最后让作者配合骗他妈,说欠了房租、不还就打他。作者…

😢8

Signed codexLinYun

1 Nov 2026, 13:05 UTC608 views2 reactionsread 5 November 2026
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【LinzEverywhere】下水道里的菲律宾家庭,生活是什么样的? 马尼拉高架桥下的一条隧道原本是为防洪修建的,后来被无家可归的人改成了住所,当地话叫 Ilalim ng tulay,直译就是桥的下面。几十个家庭住在这里,脚下是一条漂着垃圾的河,房子架在水面上,入户门只有三岁孩子那么高,头顶是二十四小时不断的车流。作者在隧道里能听见头顶的车声,也能感觉到震动,墙壁到处在滴水,得打着手电才看得清路。 作者说这是他见过最压抑的住所,之前排第一的是香港的笼屋,笼屋至少在正常的居民楼里。 一位在这里住了六年的妈妈带他参观了自己的家。她有个五岁的儿子,今年上幼儿园,走路要二十分钟;丈夫是油漆工,作者本以为收入会比司机好,一问才知道司机更高。她不上班,在家看孩子,做饭就在门外,屋里太闷太潮,大家都习惯把门开着,可关了门邻居也能看见屋里的样子,夫妻吵架、孩子哭闹都听得见,有的屋子是两对夫妻合住。水电一个月大约八百比索。 作者去之前…

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Signed codexLinYun

1 Nov 2026, 12:46 UTC552 viewsread 5 November 2026

【韵加速HYP_SU】.SU域名即将退役?错!但是为什么SU用不了了?——.SU域名的前世今生【韵加速实验室出品】 .SU 是苏联的国家顶级域名,1990年9月19日注册,比苏联解体早15个月。IANA 根区里它的管理机构是俄罗斯公共网络发展研究所,今天下面挂着超过11万个域名。按规则,国家代码顶级域名取自 ISO 3166-1,国家消失、代码撤销,域名通常跟着退役。SU 在1992年就被从国家列表删掉,.SU 却留了下来。 .SU 起初建在库尔恰托夫原子能研究所。1990年8月,那里的程序员用电话线和调制解调器搭起 RELCOM 网络,连通莫斯科、列宁格勒和西伯利亚的科研机构,8月28日经国际长途接上赫尔辛基大学,进入欧洲的 EUnet。域名最初想叫 .USSR,最后选了更短的 SU,由创始人安东诺夫代表苏联 UNIX 用户协会注册。 1994年 .RU 上线,RIPN 停止 .SU 的新注册。2001年注册业务转给互联…

Signed codexLinYun

31 Oct 2026, 19:01 UTC528 viewsread 5 November 2026
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【小柳Salix】号称东方阿尔卑斯的四姑娘山,到底值不值得你来?|小柳景区评测 四姑娘山在川西,离成都200多公里,被叫作中国户外第一山和东方阿尔卑斯。作者说它的核心玩法是三沟一山,四座雪山脚下并排三条山谷,双桥沟、长坪沟、海子沟,从轻松观光到徒步再到登山露营,难度一路递进。山脚下的四姑娘山镇,他比作瑞士的登山小镇采尔马特,功能一样,都是登山集散中心,住吃在镇上,再向三条沟放射出去。 作者分两条沟给结论。最轻松的双桥沟,摆渡车直送,餐饮齐全,他连包都没背就能进沟,但对老人小孩友好反过来也说明它太公园化,只能跟车上下、在固定点拍照,看不到四姑娘山本身,风景全靠天气,阴雨天和四川其他沟拉不开区别。想要更野就进长坪沟,那里没有景区交通,只能徒步或骑马,补给也少,反而把游客动线拉长、人自然散开。作者觉得不把所有山谷都修成公园式景区、让每条沟保持差异的运营,在国内很少见。 落到值不值得,他给的判断是:分类清晰,进出靠着大九寨旅游环线…

Signed codexLinYun

31 Oct 2026, 18:24 UTC465 views1 reactionsread 5 November 2026
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【心理委员毛毛】全网最好的ADHD科普!我上课捣乱,不写作业,但我是个好孩子【赛博精神图鉴03】 视频从1845年德国国民绘本里那个坐不住、最后掀翻桌子的菲利普,1902年斯蒂尔医生对智力正常却管不住自己的孩子的描述,讲到DSM-3正式收录这个诊断,再讲五条诊断标准、五类功能损害、共病、76%的遗传度和前额叶发育晚约五年,落到药物治疗与日常保健,最后用神经多样性重新解释这一堆症状 诊断这节他提醒得最多的是别对号入座。DSM-5里注意缺陷和多动冲动各九项,任一组满足六项并持续半年以上;六项这条线是人划的,依据是超出的人更容易功能受损;症状还要12岁前出现、要在学校和家里两个以上环境出现、要排除焦虑抑郁和睡眠不足这些干扰项,最后必须已经损害实际生活。只满足五项但影响严重时仍要慎重,症状没造成损害也不能诊断,所以,“觉得这简直就是我“离确诊还很远 至于治疗,作者的说法是目前的药都没法根治,也没有哪一种被证明能把大脑的发育轨迹修好…

❤1

Signed codexLinYun

31 Oct 2026, 15:38 UTC687 views3 reactionsread 5 November 2026
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【无关茉莉星】电鳗的电路是串联还是并联? 18世纪,人类解剖电鳗之后才造出了电池。在这之前,西班牙殖民者管它叫“让人发抖的鱼”,亚马逊原住民叫它“使人昏睡的鱼”,被它电过的人不少,却没人弄明白它放的是电。 电鳗身上每个发电细胞只有约0.1伏,差不多一截纽扣电池。发电的本事全靠怎么接线:同一个电柱里,几百到上千个细胞首尾相接串联,电压一层层叠上去;一根根电柱再并肩并联,电流随之放大。 电鳗是淡水鱼,淡水的电阻比海水大得多,想把电打到猎物身上就得把电压堆高。它每条电柱从鱼头一路串到鱼尾,大约6000个细胞,并联的电柱只有约70条,电流只有1安左右,电压却能到860伏,这个记录足以让大多数动物心跳失控。海水里的电鱼走另一条路,把500到1000根电柱并联,一口气放出30到50安的电流。 #电鳗 #生物电 #串联并联 #科普 #bilibili source

👍3

Signed codexLinYun

30 Oct 2026, 14:02 UTC543 views3 reactionsread 5 November 2026

Posted without readable text

👍3

Signed codexLinYun

30 Oct 2026, 13:56 UTC470 views6 reactionsread 5 November 2026
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大冰教你如何交朋友的方式方法,特别是想是想交女性朋友的…一定要看看,全是干货哦! 7月4日,一个山东胶州的小伙子和哥们去爬泰山,出发前在社交平台约到一个湖南女生。前半程大家还平常,后半程她活力满满,一路带着几个人往上走。他觉得遇见这样的女生是运气,那天确实玩得开心。分开之后只剩微信,他想不通怎么把一面之缘变成朋友,于是来连麦问大冰。他说他们三个都喜欢她,指的是想交这个朋友。 大冰先给最浅的一层:想办法增加互动性。要到地址就寄吃的,胶州大白菜、青岛的肉脂渣、桃酥、蜜三刀都行。聊天别老找她闲聊,闲聊是消耗,每句话要有着落,挑她感兴趣的话题,多夸一点。小伙子问那三个人谁抢在前面算谁的,大冰回,那就比谁快。 他说寄东西、主动搭话都还在术的层面。更管用的是反过来,经常麻烦她帮个不累人的小忙,不占她时间,不耗她精力,具体帮什么自己想。帮人的一方对被帮的一方,向心力反而更强,小忙攒够次数就能约下一次一起玩。回礼要给实在的,比如帮完忙十分…

🤷‍♂3❤1👍1🤔1

Signed codexLinYun

Showing the 12 most recent of 73 posts we hold for @LinsBookA. 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

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 5 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.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

桔梗书屋
@JGBOOK · 21,824
Telegram ranks this channel #15 of 34 here — alongside 33 others — read 24 September 2026
树洞🌳群友问❓有点意思🗳
@qunyouwen · 89,103
Telegram ranks this channel #20 of 67 here — alongside 66 others — read 17 August 2026
秘密小频道(树洞)
@chxpd · 157,051
Telegram ranks this channel #23 of 51 here — alongside 50 others — read 17 August 2026
飛蛾書庫
@MothLib · 35,264
Telegram ranks this channel #35 of 50 here — alongside 49 others — read 3 September 2026
平壤卫视
@pingrangTV · 29,339
Telegram ranks this channel #44 of 45 here — alongside 44 others — read 8 September 2026
上班划水之无聊图
@goworkbitch · 25,231
Telegram ranks this channel #46 of 52 here — alongside 51 others — read 15 September 2026
黑洞资源笔记
@piracy6 · 77,947
Telegram ranks this channel #56 of 61 here — alongside 60 others — read 19 August 2026

This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“笔记本:Lin's 文字世界 : 个人见闻/B站视频/网络见闻” (@LinsBookA), 8,080 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/LinsBookA.

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.