1942年珍珠港事件后,美国以”国家安全”为由,依据行政命令9066号将约12万日裔美国人(多数是美国公民)强制迁往内陆拘留营,其房产、店铺、农场大多被迫贱卖或遭邻里侵占。1945年战争结束、拘留营陆续关闭后,许多家庭返乡时发现房屋已被洗劫、占用或转卖,一切归零,只能从头开始。美国政府直到1988年才正式立法道歉并向幸存者赔偿。
👍8👎5🥰1

Channel
@Discoveryzhongwen
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
42,335subscribers
+1,144 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001829234342 |
|---|---|
| Type | Channel |
| Username | @Discoveryzhongwen |
| Description | 歡迎投稿這裡👉 @Discoveryzhongwen_bot 歷史是人類經驗的寶庫,它可以為我們提供有關人類社會、文化、政治、經濟、科技等各個領域的豐富知識。通過學習歷史,我們可以了解到過去的成就、錯誤和挑戰,從而更好地理解現在的世界和未來的走向。同時,歷史可以培養我們的思辨能力、分析能力和判斷能力,幫助我們更好地理解和應對當下的複雜社會問題。因此,學習歷史不僅可以拓寬我們的知識視野,還可以幫助我們成為更好的決策者和更有思想深度的人。 |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/Discoveryzhongwen |
Other / unclassifiable — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 53% 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 17:38 | 42,335 | +104 |
| 19 Sept 2026, 01:58 | 42,231 | +53 |
| 16 Sept 2026, 19:16 | 42,178 | +75 |
| 14 Sept 2026, 19:37 | 42,103 | +59 |
| 13 Sept 2026, 09:22 | 42,044 | +25 |
| 11 Sept 2026, 09:38 | 42,019 | +35 |
| 8 Sept 2026, 16:16 | 41,984 | +65 |
| 5 Sept 2026, 06:56 | 41,919 | +36 |
| 3 Sept 2026, 09:56 | 41,883 | +63 |
| 2 Sept 2026, 05:12 | 41,820 | +14 |
| 1 Sept 2026, 04:02 | 41,806 | +29 |
| 31 Aug 2026, 00:16 | 41,777 | +33 |
| 30 Aug 2026, 01:04 | 41,744 | +21 |
| 29 Aug 2026, 02:57 | 41,723 | +24 |
| 28 Aug 2026, 04:25 | 41,699 | +36 |
| 27 Aug 2026, 05:37 | 41,663 | +21 |
| 26 Aug 2026, 04:44 | 41,642 | +27 |
| 25 Aug 2026, 05:24 | 41,615 | +24 |
| 24 Aug 2026, 06:42 | 41,591 | +47 |
| 22 Aug 2026, 16:54 | 41,544 | first reading |
115 posts held, back to 26 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 94 pages of 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 25 September 2026 |
|---|---|
| Posts held | 115 (26 July 2026 – 25 September 2026) |
| Views total | 212,388 |
| Reactions total | 2,529 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 26 Sept 2026, 02:13 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 26 September 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.
4,472 reactions across 115 posts, in 49 distinct kinds. The most used accounts for 21.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 942 | 21.1% | |
| 💩 | 870 | 19.5% | |
| ❤ | 490 | 11.0% | |
| 🕊 | 363 | 8.12% | |
| 🫡 | 338 | 7.56% | |
| 🌭 | 300 | 6.71% | |
| 🤡 | 121 | 2.71% | |
| 👏 | 120 | 2.68% | |
| 🤮 | 97 | 2.17% | |
| 🔥 | 94 | 2.10% | |
| 👎 | 90 | 2.01% | |
| 🖕 | 90 | 2.01% | |
| 🥰 | 86 | 1.92% | |
| 😁 | 77 | 1.72% | |
| 🤣 | 55 | 1.23% | |
| 🍌 | 33 | 0.738% | |
| ✍ | 31 | 0.693% | |
| 🗿 | 28 | 0.626% | |
| 😎 | 27 | 0.604% | |
| 💯 | 16 | 0.358% | |
| 29 further kinds | 204 | 4.56% |
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 115 of the 115 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 4,472 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 115 most recent posts we hold, published 26 July 2026 to 25 September 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.
1942年珍珠港事件后,美国以”国家安全”为由,依据行政命令9066号将约12万日裔美国人(多数是美国公民)强制迁往内陆拘留营,其房产、店铺、农场大多被迫贱卖或遭邻里侵占。1945年战争结束、拘留营陆续关闭后,许多家庭返乡时发现房屋已被洗劫、占用或转卖,一切归零,只能从头开始。美国政府直到1988年才正式立法道歉并向幸存者赔偿。
👍8👎5🥰1
年輕的柬埔寨 FANK 士兵,位於斯朗(Srang),1970 年 9 月 4 日於金邊以南 26 英里處
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1987 年,麥可·傑克森發行了《Bad》
👍20❤1
阿道夫·希特勒向美利坚合众国宣战的演讲。 德国柏林,1941年12月11日
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Corleone狂欢节期间的一群人。 巴勒莫,西西里岛,1980年。 这张照片拍摄地科莱昂(Corleone)位于西西里巴勒莫省内陆,因1970年代教父系列电影而闻名于世(尽管电影实际取景地并非当地),现实中的科莱昂也曾是西西里黑手党势力盘踞的重镇之一,历史上多位知名黑帮头目出身于此。狂欢节(Carnevale)是意大利天主教传统节日,在四旬期(大斋期)前举行,各地都有化装游行、面具与街头庆典的习俗,西西里乡镇的狂欢节通常保留了浓厚的地方民俗色彩,与大城市(如威尼斯)华丽的贵族化面具传统不同,更贴近乡土、社区参与式的庆祝方式。
❤3👀2
#匿名投稿 #二战 #太平洋战争 在塔萨法隆加海战中遭遇了重创的新奥尔良号重巡洋舰(CA-32),当时的情况是日本驱逐舰的一枚九三式610mm氧气鱼雷击中了该重巡的前部导致了相当惨烈的殉爆,新奥尔良的整个船头加上1号炮塔整个结构直接被撕裂并炸飞。但由于美国优秀的损管,新奥尔良号并没有沉没,而是在进行了一些维护管理之后活了下来,这次重创并未终结她的生命。在普吉特湾海军造船厂更换了全新的舰首后,新奥尔良号于1943年重返战场。(图片拍摄的时间点为1942年12月1日)
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#名人 Tallulah Bankhead于1932年拍摄
❤3🌭3👍1
北京市劳动人民文化宫的学习室,墙上挂着马克西姆·高尔基与鲁迅的画像,约1960年 马克西姆·高尔基(Maxim Gorky)是苏联/俄国著名作家,被视为”社会主义现实主义”文学的奠基人,代表作有《母亲》《童年》等,在苏联官方文化中地位极高。 鲁迅是中国现代文学的奠基人之一,代表作有《呐喊》《狂人日记》《阿Q正传》等,以犀利的社会批判著称。新中国成立后,鲁迅被官方定位为”文化旗手”,其思想被认为与马克思主义、革命精神相契合。 把这两人的画像并列挂在北京市工人文化宫的学习室里,象征着中苏两国革命文学传统的呼应——高尔基代表苏联革命文学,鲁迅代表中国革命文学,反映了1960年前后中苏友好(尽管当时关系已开始出现裂痕)背景下,官方对”进步文艺”传统的推崇。
🫡14💩11🤮5👍4🖕3❤1🔥1
紐約人在時代廣場停下來觀看《Seinfeld》大結局,1998年。
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#匿名投稿 1927年7月,身兼国民革命军总司令的蒋介石在徐州府穿过人群向群众或部下敬礼
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#匿名投稿 在1970~1978年由深田打捞公司打捞上来的旧日本海军主力舰长门级陆奥号战列舰的410㎜双联装主炮塔(图片拍摄时间大概为1970年7月~8月)
💩26🫡14❤4🗿4👍2❤🔥1
玛丽莲·梦露在《绅士更喜欢金发女郎》(1953年)的片場。
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Showing the 12 most recent of 115 posts we hold for @Discoveryzhongwen. 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.
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.
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.
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“历史老照片(中文)Timeless Archives” (@Discoveryzhongwen), 42,335 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/Discoveryzhongwen.
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.