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Channel

Newlearnerの自留地

@NewlearnerChannel

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Posts edited after publishing · Polls · Citations · Telegram's recommendations · Cite this entry

68,274subscribers

+2,318 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001375282077
TypeChannel
Username@NewlearnerChannel
Description🆕 不定期推送 IT 相关资讯,欢迎关注! 👥 博客群&投稿群&交流群: @NewlearnerGroup 📩 投稿请私信 @newlearner_pm_bot 🔍 频道内容关键词索引 Bot: @newlearner_search_bot * 未经授权或标注来源,不得转载本频道内容
Created12 August 2019 — measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held62
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/NewlearnerChannel

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 100% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (5 of the pairs behind the counts below)
Posted firstThenOverlapGap
@NewlearnerChannel/15855 · this entry19 Aug 2026, 09:59 UTC@xwkx166/486319 Aug 2026, 09:59 UTC0.98under a minute
@NewlearnerChannel/16095 · this entry3 Nov 2026, 10:00 UTC@xwkx166/80503 Nov 2026, 10:01 UTC0.98under a minute
@NewlearnerChannel/16103 · this entry5 Nov 2026, 10:04 UTC@xwkx166/81645 Nov 2026, 10:05 UTC0.97under a minute
@NewlearnerChannel/15828 · this entry11 Aug 2026, 09:59 UTC@xwkx166/452111 Aug 2026, 09:59 UTC0.96under a minute
@NewlearnerChannel/15868 · this entry24 Aug 2026, 10:04 UTC@xwkx166/504624 Aug 2026, 10:05 UTC0.95under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@xwkx1665 (5/5 hand-verifiable sample passed)0.97under a minutethis entry (5–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 288 comparable posts for this entry, running 31 July 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the key clone_source, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

65,95668,27467,1156 August 202610 November 2026
62 measurements spanning 96 days, net +2,318. 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 65,608–68,622 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 62
Measured (UTC)SubscribersChange
10 Nov 2026, 15:3868,274+52
9 Nov 2026, 03:0768,222+34
7 Nov 2026, 22:1668,188+52
6 Nov 2026, 20:1068,136+27
5 Nov 2026, 19:5868,109+7
4 Nov 2026, 17:0768,102+25
3 Nov 2026, 18:5768,077+9
2 Nov 2026, 16:4168,068+20
31 Oct 2026, 16:5668,048+33
29 Oct 2026, 20:4168,015+5
28 Oct 2026, 22:1768,010+23
27 Oct 2026, 23:4967,987+21
26 Oct 2026, 22:0167,966+15
25 Oct 2026, 21:4867,951+25
24 Oct 2026, 20:0767,926+11
23 Oct 2026, 18:5067,915+7
22 Oct 2026, 20:3667,908+35
21 Oct 2026, 15:4767,873+2
20 Oct 2026, 12:1967,871+29
19 Oct 2026, 10:1867,842first reading

Engagement

292 posts held, back to 31 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 194 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.00%
avg views ÷ 68,274 subscribers
Avg views / post
3,410
102 posts measured
Reaction rate
0.232%
reactions ÷ views · ER floor
Posts in window
102
of 292 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 100 of 102 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 10 November 2026
Posts held292 (31 July 2026 – 10 November 2026)
Views total348,060
Reactions total791
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken10 Nov 2026, 20:56 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
≈14,700
Videos
≈48
Links
≈11,200

Lifetime counters from Telegram’s own channel header, read 10 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
1m 04s
Average length
32s

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

2,459 reactions across 270 posts, in 21 distinct kinds. The most used accounts for 68.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,67768.2%
👍51821.1%
🥰491.99%
🔥381.55%
😈351.42%
👻281.14%
👀230.935%
🎉190.773%
😇170.691%
🆒110.447%
💅110.447%
🎃100.407%
🤩100.407%
❤‍🔥30.122%
🕊30.122%
🌭20.081%
✍10.041%
🍌10.041%
🏆10.041%
🐳10.041%
1 further kind10.041%

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 288 of the 292 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 2,495 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 292 most recent posts we hold, published 31 July 2026 to 10 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.

Telegram Stars

Stars received
3
across the posts below
Posts paid on
3
of 292 we hold a reading for · 1%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @NewlearnerChannel. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 292 most recent posts we hold for this entry, published 31 July 2026 to 10 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Advertising

Ad load
2.05%
6 of 292 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
3,390
over 6 measured posts
Median views · rest
3,690
over 286 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.

Measured over the 292 most recent posts we hold, published 31 July 2026 to 10 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 21 of 102 posts held from the last 30 days (20.6%) 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).

10 Nov 2026, 12:59 UTC≈1,580 views0 reactionsread 10 November 2026
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#News 🌃 自留地晚报 【11.10】 1️⃣ IT之家 报道称,苹果开始大规模释放 iPhone Duo 折叠屏库存,国内多家 Apple Store 支持部分机型当天到店取货 2️⃣ Anthropic 发布Claude Fable 5.2 / Mythos 5.2 双模型,API 费用下调 20%,千级智能体 8 天从零构建可启动操作系统 3️⃣ OpenAI 宣布已在内部部署“控制室”系统,可在 35 秒内叫停失控的 AI 智能体 4️⃣ 9to5Mac 报道称,苹果推出 50 美元“智能使用包”,Logic Pro 率先支持付费扩容,有效期 12 个月 5️⃣ Digitimes 报道称,三星电子、SK 海力士竞相抢购 ASML EUV 光刻机,投资额均超 10 万亿韩元 6️⃣ WSJ 报道称,Anthropic 拟下周四 / 五登陆纳斯达克,估值预期遭遇市场降温 7️⃣ Logitech 发布 …

Signed 逍遥

10 Nov 2026, 10:04 UTC≈1,950 views8 reactionsread 10 November 2026
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#APP #GitHub情报 #Android 📱 Mika:在后台虚拟屏上替你操作 App 的开源安卓 Phone Agent 🔗:官网 | GitHub 一个 APK 把现有安卓机变成「AI 手机」。说一句话,它在一块你看不见的屏幕上打开 App、点击、输入、翻页直到把事办完,你的主屏照常刷,不需要 Root,也没有 Mika 服务器。 ✨ 特点 • 后台虚拟屏干活:App 跑在一块与主屏同尺寸的独立虚拟显示器上,安卓 14 起拥有独立输入焦点,Mika 打字时不会抢走你正在聊天的输入框,对话页的小画面可随时放大围观。 • 任何 App 免适配:先读无障碍控件树,读不全时自动切到 APK 内置的 ML Kit 文字识别,再不行交给看图模型找按钮,「看得到就能操作」,不依赖任何 App 开放接口。 • 内置浏览器 + Linux 沙箱:私有虚拟屏上的 WebView 通过 DevTools 协议发真实点击和键盘输入 …

❤8

Signed glaze YP

10 Nov 2026, 03:59 UTC≈2,470 views5 reactionsread 10 November 2026
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#CarPlay #GitHub情报 #Android 🚗 介绍两个让 CarPlay「搬家」的开源软件 自 iOS 7 以来,CarPlay 依托 Apple 生态和传统燃油车大厂的支持,迅速培养了一批用户的习惯。然而,随着新能源车辆崛起,各新势力品牌都想要把用户圈入自己的「围墙花园」,不愿将这些宝贵的用户和数据拱手让给 Apple 今天介绍的两个项目,就是大家探索到的、低成本地在不支持 CarPlay 设备上运行 CarPlay 的成果。这其中也少不了 Vibe Coding 的功劳,它把许多想法都变成了现实 1️⃣ xcertplay:面向 Android 车机的 CarPlay 接收端项目 🔗:GitHub | Releases 👉 Features - 面向 Android 和 Android Automotive OS 的 CarPlay 主机应用 - 支持 CH341 桥接 MFi 芯片、原生 /de…

❤5

Signed  初学者 | Newlearner365

9 Nov 2026, 12:59 UTC≈2,930 views3 reactionsread 10 November 2026
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#News 🌃 自留地晚报 【11.9】 1️⃣ Bloomberg 报道称,英伟达董事会将就一起窃听事件展开调查,此前 CEO 黄仁勋向员工发出道歉信,承认对妻子不忠,称“没有任何借口”,并愿接受批评、努力重获家人与同事信任 2️⃣ MacRumors 报道称,古尔曼爆料苹果最早明年推出自主代理式 Siri,从响应命令转向主动管理任务并代用户完成事务,对标 ChatGPT Dots、Meta Muse 与 Grok 3️⃣ The Information 报道称,台积电正考虑进军先进内存芯片制造,已应英伟达要求规划生产 3D DRAM,并评估新建专用厂或收购现有晶圆厂改造两条路径 4️⃣ IBM 宣布在芝加哥海德公园实验室投运其最先进量子计算机 IBM Quantum System Two,核心为第二代 Nighthawk r2 芯片,引入独立高速量子比特复位架构,电路执行速率超每秒 10 万次 5️⃣ Reute…

❤3

Signed 逍遥

9 Nov 2026, 10:04 UTC≈2,810 views5 reactionsread 10 November 2026
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#Python潮流周刊 🐱🐱🐱🐱 第 174 期 🐱🐱🐱🐱 🦄文章&教程 ① CPython 将移除实验性 JIT ② 2026 年 Python 性能分析工具现状 ③ DuckDB 2.0 为什么更快 ④ UUIDv7 没有你想象的那些性质 ⑤ 306 行 Python 写一个编码智能体 ⑥ 用 Python 编排一次性浏览器 ⑦ Django 大规模缓存的生产实践 ⑧ 用 Cloudflare R2 存 Django 静态与媒体文件 ⑨ 从循环到向量化:NumPy 提速的 7 个关键思维 ⑩ pyinfra,用 Python 代码做服务器自动化 ⑪ 一款 3D 游戏全靠 AI 做出来:完整制作流程公开了 ⑫ PyScript 进入维护模式,浏览器里的 Python 还剩什么 🐿️项目&资源 ① taste-skill:让编码智能体先定美术方向 ② mcode-stack:MiniMax 团队的 AI 编码工作流…

❤4👻1

Signed dou

9 Nov 2026, 04:02 UTC≈2,970 views3 reactionsread 10 November 2026
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#潮流周刊 #Newsletter 潮流周刊(第289期) - 南京李志 封面图拍摄于周末新拆的李志 CD 2004 年到 2018 年的精选集,非常不错,很喜欢,用我的磁带 CD 机播放出来非常有感觉。 潮流工具 1. 我的 10 条人生最佳实践 2. Scene:让你 Mac 和应用的主题保持一致 3. Runlayer 的这个 MCP 带交互的教程看着很不错 4. Vimy:轻量的 macOS 虚拟机 5. Kami 新增了小红书的图片模板 随便看看 1. 疯狂推荐这个漱口水 2. 电影《生日快乐》很好看 3. 这款屏幕清理湿纸巾很不错 4. 杭州庆春里素食不错 5. 你还有手写东西的习惯吗? 6. 怎么用 AI 做出好看的产品设计,不那么 AI Slop? 频道:@NewlearnerChannel

👍3

Signed Tw93

9 Nov 2026, 00:59 UTC≈3,040 views2 reactionsread 10 November 2026
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#News ☀️ 自留地早报【11.9】 1️⃣ Arxiv:苹果披露人形机器人 HALO 系统:调用千问模型在宇树 G1 上验证,单项任务平均成功率 91% 2⃣️ Meta 推出基于 Muse Wonder 训练的现有模型专用版本,主动记忆与专注能力下放 3️⃣ Reuters:“史上最大 IPO”遇挑战:Anthropic 上市估值存分歧,1.5 万亿美元仍被嫌贵 4⃣️ The Verge:Perplexity 推出 Teammate 功能,可执行持续性复杂工作的智能体 5⃣️ GitHub 推出新 Git 存储架构:内部测试单个代码仓库支持 5000 个智能体同时协作,每秒处理 7200 次推送 6⃣️ BusinessInsider:Anthropic 神秘模型“立功”,AI 帮助攻克量子计算领域重大难题 7️⃣ 索尼 PS Plus 推出新福利:订阅可获得 YouTube Premium 试用资格或…

👍2

Signed Kris

8 Nov 2026, 09:59 UTC≈3,260 views8 reactionsread 10 November 2026
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#telegram #Blog #Channel ✈️ 【11.8 更新】 自留地导航页 📩 投稿 & 编辑申请:@newlearner_pm_bot 👀 本周盘点: • Newlearner X 数码荔枝 「双十一」软件年度大促 • Python 潮流周刊第 173 期 • 潮流周刊(第288期) - 偶遇小猫 • Apple 到底给屏幕起了多少个名字 • FlClash:我最爱的 Clash 客户端又更新了 • 聊聊 Newlearnerの IT 社群的自动化入群方案部署 —— 从 AI Agent 到基于 Bot 和网页的黑盒程序 • 自留地 Trail:iOS 27.3 国行 Apple 智能初体验 • 下次打客服电话,让这个 AI 替你等 🎬 流媒体周报:第 36 届哥谭独立电影奖公布提名名单,第 47 届青龙电影奖公布入围名单,2026 金鸡国际影展公布展映片单,《戴高乐之战》《饥饿游戏:收获日出》《海上钢…

❤8

Signed  初学者 | Newlearner365

7 Nov 2026, 04:22 UTC≈3,750 views0 reactionsread 10 November 2026
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#News #Economics #Finance 💡《一飞周报》每周带你关注科技导向金融市场与周围的价值信息 本周内容(305th):Notion 💹 市场 • 美股极端抛售 • 科技股引爆市场 • 黄金开始反弹 • SpaceX风暴中心 📈 股票 • AMD 业绩未能撑起股价 👨🏻‍💻 专栏 • 当尾部风险成为现实 ..... 《一飞周报》更多地关注股票投资与科技动态。在这个嘈杂的时代,希望能与自留地读者一起传递更多有价值的信息。 频道:@NewlearnerChannel

Signed Harry

7 Nov 2026, 00:59 UTC≈3,570 views7 reactionsread 10 November 2026
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#days ❄️ 今日立冬 立,建始也,表示冬季自此开始。冬是终了的意思,万物收藏也,意思是说秋季农作物全部收晒完毕,收藏入库,动物也已藏起来准备冬眠。“水冰地冻之始,万物收藏之际。”中国又把立冬作为冬季的开始 “落水荷塘满眼枯,西风渐作北风呼。”立冬后气温会逐步下降,除了注意穿衣外,可食用饺子🥟等食品“补冬” 🥶 再见秋天,年尾你好!大家那里的气温怎么样,注意添衣保暖哦~ 频道:@NewlearnerChannel

❤7

Signed  初学者 | Newlearner365

6 Nov 2026, 13:00 UTC≈3,590 views11 reactionsread 10 November 2026
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#News 🌃 自留地晚报【11.6】 1️⃣ OpenAI 发布网络安全专用模型 GPT-6 Cyber,较上代提升 51% 2️⃣ DeepSeek Harness 日活跃用户已达 154 万,日消耗 Token 约 92 万亿 3️⃣ Anthropic 宣布为 Claude 加入个人理财功能,仅拥有只读权限 4️⃣ 苹果 计划为 HomeView 增加第三方 AI 聊天机器人 5️⃣ 大疆 发布 Matrice 5T 无人机,标配激光雷达、毫米波雷达、全彩全向视觉感知系统,售价 57488 元 6️⃣ Cloudflare 年化营收首破 30 亿美元,Q3 营收 7.83 亿美元同比增长 39% 7️⃣ 长江存储 计划建设第四座 NAND 工厂,工厂使用国产设备占比力争达到 70% 频道:@NewlearnerChannel

❤11

6 Nov 2026, 06:59 UTC≈3,550 views8 reactionsread 10 November 2026
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#Movies #TV 🎬 Newlearnerの自留地「流媒体周报」#251 🔍 重点关注 ▎第 36 届哥谭独立电影奖公布提名名单 🔗:完整名单 • 最佳影片:《克拉丽莎》《夜店小子》《首演》《噩梦中的梦》《激情邀约》《约瑟芬》《迷鼠》《纸老虎》《黄金时段》《瘴气营地的青春性事与死亡》《为了你的母亲》 • 最佳国际影片:《突如其来》《神之子》《蓝鹭》《每时每刻》《故土》《菲律宾女孩》《行走之人》《米诺陶》《可能的爱》《温柔以待》 • 最佳原创剧本:《每时每刻》《行走之人》《可能的爱》《温柔以待》《野马九号》 • 最佳改编剧本:《突如其来》《克拉丽莎》《激情邀约》《米诺陶》《黄金时段》 • 观众选择奖:《后室》《黑球》《爱情抓马》《激情邀约》《迈克尔·杰克逊:巨星之路》《痴迷》《挽救计划》《你能看到一切》 其中,《突如其来》《克拉丽莎》《行走之人》《激情邀约》《温柔以待》各获 4 项提名,全度妍提名最佳主角…

❤8

Signed  初学者 | Newlearner365

Showing the 12 most recent of 292 posts we hold for @NewlearnerChannel. 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.

Posts edited after publishing

@NewlearnerChannel edited 10 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
19 August 2026
Most recent edit
5 November 2026

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

20 Sept 2026, 02:40 UTCAnonymous Poll825 voters

😡 周日调休上班的心情是?

  1. 劳动使我快乐13%
  2. 😡💢😤35%
  3. 已准备好中秋国庆连休11%
  4. 摸鱼中18%
  5. 嘻嘻,我不上班28%
  6. 其他(欢迎自行补充)3%

The shares total 108%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 292 most recent posts we hold, published 31 July 2026 to 10 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Mentions

Named by 35 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

在花🎗️科技圈
@zaihuapd · 289,745
#1
风向旗参考快讯
@xhqcankao · 168,108
#2
 Apple Nuts
@AppleNuts · 37,705
#3
Yummy 😋
@GodlyNews1 · 71,143
#4
竹新社
@tnews365 · 167,192
#5
每日消费电子观察
@CE_Observe · 77,552
#6
Solidot
@solidot · 48,812
#7
少数派sspai
@sspai · 39,123
#8
APPDO 数字生活指南
@AppDoDo · 40,978
#9
LoopDNS资讯播报
@DNSPODT · 73,241
#10
VPS信号旗播报
@vps_xhq · 50,835
#11
蓝点网订阅频道
@landiansub · 47,142
#12
每日沙雕墙
@woshadiao · 114,495
#13
瞎玩菌 #SFW
@blindgamer · 10,776
#14
层叠 - The Cascading
@outvivid · 9,324
#15
前女友们用过的机场—始于机场,不止机场
@gebaopiCloud · 101,582
#16
小声读书 🙈
@weekly_books · 38,252
#17
不存在的世界
@illusory_world · 11,114
#18
浮生东京
@LifeJapan · 7,425
#19
AI Copilot
@AI_Copilot_Channel · 11,346
#20
Humanitech
@humanitech · 2,183
#21
你有一个打折需要了解
@SteamNy · 16,263
#22
Alan的小纸箱
@alansbox · 4,341
#23
极客分享
@geekshare · 65,560
#24
Appinn Feed|小众软件
@appinnfeed · 34,958
#25
Milkice's 生而喵喵
@milkice_portal · 3,393
#26
APPDO的互联网记忆
@appdopic · 16,938
#27
黑洞资源笔记
@piracy6 · 77,993
#28
心灵魔法站
@personal_hub · 11,581
#29
折腾啥
@zhetengsha · 53,830
#30
gledos Lia green 的微型博客
@gledos_microblogging · 6,605
#31
戴老师购物指南
@idwlch · 1,720
#32
科技&趣闻&杂记
@kejiqu · 36,774
#33
cnBeta.COM中文业界资讯站 - 总频道(精选新闻)
@cnbeta_com · 27,407
#34
AppPie
@AppPie · 3,529
#35
theBlock
@theBlockClub · 2,534
#36
Odyssey+
@odysseyplus · 24,727
#37
Z-Turns
@Z_Turns · 5,669
#38
不周的生活观察
@buzhouxiansheng · 6,808
#39
Cool Scripts
@cool_scripts · 16,359
#40
不靠谱的喵(>^ω^<) #CatGPT
@MlgmXyysd_bibilailai · 22,486
#41
广告必须死
@Aa28413761 · 26,843
#42
Hell Cell 功能教学
@HellCellZC123 · 10,894
#43
地心引力
@bigwalnut · 3,171
#44
ahhhhfs|A姐分享
@abskoop · 303,761
#45
Λ-Reading ♡
@GoReading · 14,977
#46
Surge & Loon & QX 脚本收集
@NobyDa · 64,479
#47
Surge TestFlight Feed
@SurgeTestFlightFeed · 13,052
#48
LetITFly News
@LetITFlyW · 9,732
#49
zrj766的频道
@zrj96 · 17,813
#50
Android Weekly Update ⚡️
@update4weekly · 5,249
#51
扫地僧º笔记
@lover_links · 19,705
#52
iBeta 尝鲜派|公告栏
@ibeta_channel · 13,618
#53
Loon News
@LoonNews · 48,270
#54
NS新闻转报
@SwitchNewCN · 7,432
#55
灵车漂移
@Hearse_Drifting · 10,883
#56
Sukka's Notebook
@SukkaChannel · 6,935
#57
豆瓣精选
@douban_read · 35,246
#58
Project X Channel
@projectXtls · 30,507
#59
煎蛋无聊图
@jandan_pic · 25,561
#60
〄FW
@JISFW · 12,886
#61
特价VPS分享
@Tjjcfx · 17,877
#62

Read from Telegram’s recommendation API, most recently 21 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Appinn Feed|小众软件
@appinnfeed · 34,958
Telegram ranks this channel #1 of 52 here — alongside 51 others — read 4 September 2026
Odyssey+
@odysseyplus · 24,727
Telegram ranks this channel #2 of 29 here — alongside 28 others — read 15 September 2026
即刻精选
@jike_collection · 35,883
Telegram ranks this channel #2 of 48 here — alongside 47 others — read 2 September 2026
 Apple Nuts
@AppleNuts · 37,705
Telegram ranks this channel #2 of 56 here — alongside 55 others — read 1 September 2026
少数派sspai
@sspai · 39,123
Telegram ranks this channel #2 of 58 here — alongside 57 others — read 31 August 2026
小声读书 🙈
@weekly_books · 38,252
Telegram ranks this channel #2 of 59 here — alongside 58 others — read 31 August 2026
APPDO 数字生活指南
@AppDoDo · 40,978
Telegram ranks this channel #2 of 57 here — alongside 56 others — read 30 August 2026
2019-nCoV疫情实时播报🅥
@nCoV2019 · 32,452
Telegram ranks this channel #3 of 59 here — alongside 58 others — read 4 September 2026
黑洞资源笔记
@piracy6 · 77,993
Telegram ranks this channel #3 of 61 here — alongside 60 others — read 19 August 2026
Legado|开源阅读|频道
@Legado_Channels · 93,154
Telegram ranks this channel #4 of 61 here — alongside 60 others — read 17 August 2026
科技&趣闻&杂记
@kejiqu · 36,774
Telegram ranks this channel #5 of 48 here — alongside 47 others — read 1 September 2026
看鉴中国 OutsightChina
@OutsightChina · 41,872
Telegram ranks this channel #5 of 58 here — alongside 57 others — read 29 August 2026
中国数字时代
@cdtchinesefeed · 51,934
Telegram ranks this channel #5 of 60 here — alongside 59 others — read 29 August 2026
ahhhhfs|A姐分享
@abskoop · 303,761
Telegram ranks this channel #5 of 50 here — alongside 49 others — read 17 August 2026
Time经济观察
@TimeHorizonX · 21,049
Telegram ranks this channel #6 of 54 here — alongside 53 others — read 25 September 2026
极客分享
@geekshare · 65,560
Telegram ranks this channel #6 of 44 here — alongside 43 others — read 21 August 2026
Yummy 😋
@GodlyNews1 · 71,143
Telegram ranks this channel #6 of 55 here — alongside 54 others — read 20 August 2026
FREE 中文
@freechinese · 27,756
Telegram ranks this channel #7 of 55 here — alongside 54 others — read 10 September 2026
外滩读书会-最新报纸、杂志、财经报告及流行电子书分享
@readingclubus · 28,761
Telegram ranks this channel #7 of 41 here — alongside 40 others — read 8 September 2026
竹新社
@tnews365 · 167,192
Telegram ranks this channel #7 of 59 here — alongside 58 others — read 12 August 2026
树洞🌳群友问❓有点意思🗳
@qunyouwen · 89,031
Telegram ranks this channel #8 of 67 here — alongside 66 others — read 17 August 2026
秀儿の科技软件|资源分享社🎀
@jianjiaoPD · 133,020
Telegram ranks this channel #9 of 42 here — alongside 41 others — read 4 September 2026
Widget🏂软件工具资源分享
@WidgetChannel · 107,683
Telegram ranks this channel #9 of 44 here — alongside 43 others — read 17 August 2026
在花🎗️科技圈
@zaihuapd · 289,745
Telegram ranks this channel #9 of 40 here — alongside 39 others — read 12 August 2026

This channel appears in 74 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Newlearnerの自留地” (@NewlearnerChannel), 68,274 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/NewlearnerChannel.

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.