正會詩 曹植 初歲元祚。 吉日惟良。 乃為嘉會。 燕此高堂。 尊卑列敘。 典而有章。 衣裳鮮潔。 黼黻玄黃。 清酤盈爵。 中坐騰光。 珍膳雜沓。 充溢圓方。 笙磬既設。 箏瑟俱張。 悲歌厲響。 咀嚼清商。 俯視文軒。 仰瞻華梁。 願保茲善。 千載為常。 歡笑盡娛。 樂哉未央。 皇室榮貴。 壽若東王。
❤21🎉5🙏5👌1😁1

Channel
@dailywenxue
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,707subscribers
-20 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001442143983 |
|---|---|
| Type | Channel |
| Username | @dailywenxue |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/dailywenxue |
Literature — 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 17 September 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 03:41 | 1,707 | -4 |
| 9 Sept 2026, 20:17 | 1,711 | +1 |
| 4 Sept 2026, 11:01 | 1,710 | -1 |
| 1 Sept 2026, 08:17 | 1,711 | -1 |
| 26 Aug 2026, 02:18 | 1,712 | -4 |
| 22 Aug 2026, 18:29 | 1,716 | -3 |
| 19 Aug 2026, 08:25 | 1,719 | -1 |
| 12 Aug 2026, 19:36 | 1,720 | -1 |
| 9 Aug 2026, 23:33 | 1,721 | -6 |
| 6 Aug 2026, 17:30 | 1,727 | no change |
| 6 Aug 2026, 14:47 | 1,727 | first reading |
20 posts held, back to 26 April 2022 — 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 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 9 February 2024. An engagement rate over an empty window would be a number about nothing.
432 reactions across 20 posts, in 15 distinct kinds. The most used accounts for 39.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 170 | 39.4% | |
| ❤ | 89 | 20.6% | |
| 😢 | 53 | 12.3% | |
| 🕊 | 41 | 9.49% | |
| 🥰 | 27 | 6.25% | |
| 🙏 | 14 | 3.24% | |
| 😁 | 11 | 2.55% | |
| 😱 | 10 | 2.31% | |
| 🎉 | 5 | 1.16% | |
| ☃ | 4 | 0.926% | |
| 👏 | 3 | 0.694% | |
| 🤔 | 2 | 0.463% | |
| 👌 | 1 | 0.231% | |
| 🔥 | 1 | 0.231% | |
| 🤯 | 1 | 0.231% |
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 20 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 432 reactions 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 26 April 2022 to 9 February 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
正會詩 曹植 初歲元祚。 吉日惟良。 乃為嘉會。 燕此高堂。 尊卑列敘。 典而有章。 衣裳鮮潔。 黼黻玄黃。 清酤盈爵。 中坐騰光。 珍膳雜沓。 充溢圓方。 笙磬既設。 箏瑟俱張。 悲歌厲響。 咀嚼清商。 俯視文軒。 仰瞻華梁。 願保茲善。 千載為常。 歡笑盡娛。 樂哉未央。 皇室榮貴。 壽若東王。
❤21🎉5🙏5👌1😁1
冬 穆旦 我愛在淡淡的太陽短命的日子, 臨窗把喜愛的工作靜靜做完; 才到下午四點,便又冷又昏黃, 我將用一杯酒灌溉我的心田: 人生本來是一個嚴酷的冬天。 我愛在枯草的山坡,死寂的原野, 獨自憑吊已埋葬的火熱一年, 看著冰凍的小河還在冰下面流, 似乎宣告生命是多麼可留戀: 人生本來是一個嚴酷的冬天。 我愛在冬晚圍著溫暖的爐火, 和兩三昔日的好友會心閒談, 聽著北風吹得門窗沙沙地響, 而我們回憶著快樂無憂的往年: 人生本來是一個嚴酷的冬天。 我愛在雪花飄飛的不眠之夜, 把已死去或尚存的親人珍念, 當茫茫白雪鋪下遺忘的世界, 我願意感情的激流溢於心田: 人生本來是一個嚴酷的冬天。
🕊41👍11❤9😢7☃4
《遙遠的他處》 (法)波德萊爾 這裡是神聖的閨房, 這位穿著盛裝、安詳、 時時準備好的姑娘, 用一隻手扇著胸房, 胳膊肘枕在靠墊上, 聽泉水嗚咽的喧響: 這是多羅泰的閨房。 ——風和水在遠處哀號, 發出了刺耳的喧響, 要把寵兒引入睡鄉。 她的柔膚,從頭到腳, 全用香膏和安息香 塗得非常仔細周到。 ——花兒在角落里暈倒。
👍17
《風吹在水上:致宋淇書信集》選段 吳興華 像愛「寂寞的星光」之類的句子是新詩中最downright不可要的套語。好詩人沾上了變壞,壞詩人沾上了使人欲嘔,像這種句子還不如改為「你愛濃厚的牛尾湯」來得清楚有力點。
👍10😁3
《給海倫十四行詩》 (法)龍薩 等你衰老了的時候,在冬天 你會挨了火坐著搖動紡機, 一邊哼我的歌兒,一邊嘆息, 說,「龍薩他歌唱過我的青年。」 歌聲送到了侍女們的耳邊, 任她們是多麼迷離著倦意, 聽到了我的名字,都會驚起, 誇道你有福,從此名在人間。 那時候,我在地上瞢然長臥 不醒,成了石榴蔭里的魂魄, 你呢,白頭的老婦坐在火旁, 想著我多情,你傲慢,真懊悔; 哎,愛我!不如趁了今天玫瑰 還開著,我們攜了手去尋芳。 ——朱湘 譯
👍5🥰5❤1
憶江南(三首) (唐)白居易 一 江南好,風景舊曾諳。 日出江花紅勝火, 春來江水綠如藍。能不憶江南? 二 江南憶,最憶是杭州。 山寺月中尋桂子, 郡亭枕上看潮頭。何日更重游? 三 江南憶,其次憶吳宮。 吳酒一杯春竹葉。 吳娃雙舞醉芙蓉。早晚復相逢?
❤24👍4🥰2
(唐)章碣:《焚書坑》 竹帛煙銷帝業虛, 關河空鎖祖龍居。 坑灰未冷山東亂, 劉項從來不讀書。
👍18
《論園》選段 童寯 中國園林很少出現西方園林常有的令人敬畏的空曠景象。即使規模宏大,中國園林也絕不喪失其親切感。但在法國的凡爾賽宮園,只有星期日的擁擠人群才能驅散荒涼氣氛。中國紀念性建築甚至居住建築都含有對稱性,然而在園林佈局中全然不用,因為決定的因素是尋求悠閒而不是理性。 在西方,私家花園與公園並無太大差別。而西方公園似乎是以鍛鍊強壯體格為目的。中國園林,則是為了想象,賦有人文氣質,並以鄉村之野趣為極品。文藝復興式的壯麗和輝煌並未呈現於中國園林,在中國園林里,富人渴望鄉野樸實的快樂,而只沈醉於藍天白雲,明月清風。他的環境是一種虛構,他的生活是一種哲學,他的宇宙是一個夢想。只有與世隔絕的人,才能體驗到完滿的快樂。
👍8🤔2❤1
《藝林散葉》選段 (近代)鄭逸梅 梁啓超曾雲:「說到美人,便離不了病,真是文學界一件恥辱事,我盼望往後文學家描寫女性,最要緊先把美人的康健恢復才好。 慈禧有一句話:「誰給我一時不痛快,我就叫他一輩子不痛快。」 李鴻章說:「天下最容易的事,便是做官,倘使這人連官都不會做,那就太不中用了。」
👍7😁6
青春短片《夏洛和牛排》,埃里克·侯麥導演,讓-呂克·戈達爾主演,1951年。 ——以此紀念戈達爾(1930-2022)。 他曾經像我們一樣年輕,像我們一樣迷茫。他就用這樣的年輕、這樣的迷茫,誓言改變全世界,直到不得不用上死亡。 https://m.bilibili.com/video/BV1Mg4y187zk
❤3
少年遊 一題作秋思 (南宋)蔣捷 楓林紅透晚煙青,客思滿鷗汀。二十年來,無家種竹,猶借竹為名。 春風未了秋風到,老去萬緣輕。只把平生,閒吟閒詠,譜作棹歌聲。
❤9👍4👏3😱1
虞美人 (南宋)蔣捷 少年聽雨歌樓上,紅燭昏羅帳。壯年聽雨客舟中,江闊雲低斷雁叫西風。 而今聽雨僧廬下,鬢已星星也。悲歡離合總無情,一任階前點滴到天明。
😢17👍4❤3😱3
Showing the 12 most recent of 20 posts we hold for @dailywenxue. 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.
Named by 1 registered channel — 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.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“文學部” (@dailywenxue), 1,707 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/dailywenxue.
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.