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Channel

褲子穿好來看劇

@dramatonight

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

953subscribers

-2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003950959791
TypeChannel
Username@dramatonight
Created21 June 2026measured — dated from the channel’s first post
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 8 August 2026
On Telegramt.me/dramatonight

Growth

9539559547 Aug 2026, 18:46 — 955 subscribers8 Aug 2026, 00:48 — 955 subscribers8 Aug 2026, 11:08 — 953 subscribers7 Aug 2026, 18:468 Aug 2026, 11:08
3 measurements taken within a single day, net -2. 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 953–955 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 11:08953-2
8 Aug 2026, 00:48955no change
7 Aug 2026, 18:46955first reading

Engagement

15 posts held, back to 21 June 2026the 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
122.0%
avg views ÷ 953 subscribers
Avg views / post
1,160
9 posts measured
Reaction rate
0.43%
reactions ÷ views · ER floor
Posts in window
9
of 15 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held15 (21 June 20266 August 2026)
Views total10,468
Reactions total45
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 00:48 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

80 reactions across 14 posts, in 3 distinct kinds. The most used accounts for 83.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍6783.8%
1113.8%
👎22.50%

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 14 of the 15 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 80reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 15 most recent posts we hold, published 21 June 2026 to 6 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

6 Aug 2026, 16:25 UTC269 views3 reactionsread 8 August 2026
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STRANGE 伊藤潤二那些令人徹夜難眠的奇妙故事 - 第四集《父親的心》 日劇《STRANGE-伊藤潤二徹夜難眠的奇異故事-》第5集中,改編自經典短篇的《父親的心》將「鬼父」支配欲化為極致恐怖。故事講述遠堂家的兒女皆受嚴重偏頭痛折磨,發作後竟陷入無意識狀態,做出種種荒誕而失控的異常暴行。主角司深入調查後,揭開了令人毛骨悚然的真相 ...... 演員石原良純以昭和式的威嚴怪演,完美詮釋出外表慈祥、骨子裡卻令人窒息的「鬼父」形象。本集成功捕捉伊藤潤二「荒誕與驚悚並存」的精髓,將父母打著愛的名義剝奪子女自主權的社會寫實,具現化為代代遺傳、永無止境的日常不條理噩夢。

👍21

4 Aug 2026, 17:28 UTC529 views3 reactionsread 8 August 2026
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STRANGE 伊藤潤二那些令人徹夜難眠的奇妙故事 - 第四集《肋骨女》 故事講述主角瑠璃子陷入對身體美感的極致執念,某天驚恐地對旁人說出「聽得到撥弦的聲音」、「肋骨被拿走了」等怪異遺言。隨後她被發現以失去肋骨的詭異姿態慘死,而這股神祕的“弦音”與追求畸形美的詛咒,開始蔓延到週遭的人身上。 原著《肋骨女》本質上是一個「被病態美學洗腦、由人造就的瘋狂悲劇」。但日劇第 4 集卻大刀闊斧地刪除哥哥的線索,把原本的「人為心理驚悚」降格成「惡靈詛咒的魔怪鬼故事」;更荒謬的是,女主角最後不是恐懼,反而像是吸毒般狂喜、慶幸自己變美,這種編排完全偏離了伊藤潤二式的絕望。

👍21

28 Jul 2026, 03:28 UTC≈1,370 views7 reactionsread 8 August 2026
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DC 最新超級英雄電影《Supergirl》顛覆了傳統的敘事手法,將舞台移至浩瀚的外太空。主角 Supergirl Kara 因親眼目睹氪星毀滅,並在冰冷的星球殘骸中孤獨長大,內心深埋著巨大的創傷與憤怒,甚至終日藉酒消愁。這與在地球充滿愛與溫暖環境下長大的堂弟「Superman」截然不同。在星際流浪期間,她遇見了為了替父親報仇而踏上旅程的外星女童 Ruthye。當殘酷的仇敵 Krem 傷害了 Kara 的愛犬「Superdog」(Krypto)後,兩人決定攜手同行,展開一場橫跨銀河系的星際復仇與正義之旅。

👍61

26 Jul 2026, 06:31 UTC≈1,380 views3 reactionsread 8 August 2026
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世界奇妙物語 ’26夏季特別篇 日本經典長壽懸疑單元劇《世界奇妙物語》於2026年6月27日在富士電視台播出。本次特別篇由招牌主持人塔摩利帶領,精選四個極具心理驚悚、現代諷刺與超現實色彩的全新故事,被眾多劇迷盛讚為近年罕見的傑作合集。 本季四大單元各具特色:杉野遙亮主演的《媽媽拍賣會》講述尼特族青年意外將親生母親放上網拍的黑色幽默故事;上川隆也首次參演的《遺體究竟在……》則聚焦於資深刑警在命案現場遭遇女遺體憑空消失的靈異懸疑案;趣里主演的《收拾老家》將清理遺物與鄰居的集體狂熱結合,營造出極致的心理壓迫恐怖感;最後由永尾柚乃與松尾諭主演的《想變成大叔》則帶來充滿超現實想像的荒謬結局。 整體作品深刻剖析了隱藏於現代日常作息中的人性荒誕與極致恐懼。

👍3

24 Jul 2026, 07:15 UTC≈1,420 views3 reactionsread 8 August 2026
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2026科幻鉅獻《揭密日》:史匹柏重回巔峰的陰謀驚悚片 《Disclosure Day 揭密日》講述氣象主播意外吐出外星語言,與手握政府機密的男子聯手,在特工追殺下引爆一場震撼全球的真相爭奪戰。 爛番茄開出 80% 好評,影評讚賞本片捨棄了外星人大戰的套路,將焦點鎖定在未知恐懼與政治陰謀,前半段氣氛鋪陳極佳。然而,電影最後以一句「Listen」作為開放式結局,本意是想留白讓人深入思考,反倒讓期待真相大白的觀眾感到不知所措與失望,認為收尾力道過於平淡。但整體而言,這仍是一部節奏緊湊、大師風格強烈的必看佳作。

👍3

23 Jul 2026, 19:45 UTC≈1,190 views3 reactionsread 8 August 2026
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STRANGE 伊藤潤二那些令人徹夜難眠的奇妙故事 - 第三集《地縛者》 恐怖漫畫大師伊藤潤二的作品向來以天馬行空的怪誕想像著稱,而近期引發熱烈討論的全新真人版日劇《STRANGE-伊藤潤二那些令人徹夜難眠的奇妙故事》,終於迎來了無數書迷翹首以盼的重磅單元——第三集《地縛者》。這一集不僅承襲了原作直擊人性陰暗面的核心,更以驚人的製作水準,為觀眾帶來一場視覺與心理的雙重震撼。 《地縛者》的故事從一個極度詭異的社會現象展開。在繁華都市的各個角落,突然出現了一群身體僵硬、動彈不得的人。他們如同被水泥澆灌般被釘死在原地,無論日曬雨淋、旁人如何拉扯勸說,都無法移動分毫。這種被大眾稱為「地縛者」的怪病迅速蔓延,引發了全城恐慌。隨著劇情層層剝繭,女主角最終發現了一個令人毛骨悚然的真相 ......

👍3

23 Jul 2026, 11:06 UTC≈1,120 views8 reactionsread 8 August 2026
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《殺人者的購物中心2》強勢回歸!李棟旭、金慧峻攜手激戰跨國傭兵組織 懸疑動作韓劇《殺人者的購物中心》在第一季留下巨大懸念後,備受期待的第二季終於在 2026 年 7 月 22 日於 Disney+ 獨家上線。本季總共規劃 8 集,首播當日迎來兩集連發,隨後固定於每週三更新兩集,並預計在 8 月 12 日正式播出大結局,勢必再度掀起追劇熱潮。 第二季的第一集將直接承接上一季的震撼結尾,率先為觀眾解開最核心的謎團——「鄭進灣(李棟旭飾)死而復生之謎」。隨著這個驚人真相被揭曉,劇情隨即駛入更驚險、規模更龐大的全新故事線。這一次,鄭進灣與叔姪二人不僅要再度面對老對手貝爾(趙漢善飾)的致命威脅,更必須聯手迎戰跨國傭兵組織「巴比倫」東亞分部這股更強大的黑暗勢力。 除了原班人馬的精彩回歸,本季的演員陣容更迎來跨國新亮點。日本實力派男星岡田將生首度跨界參演韓劇,在劇中飾演代號「J」的神秘傭兵,為戲增添不少張力;長年居日的韓國女星玄理也驚喜

👍71

19 Jul 2026, 17:57 UTC≈1,420 views9 reactionsread 8 August 2026
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功夫女足【搶先版】 娥眉女足首戰「至尊無敵杯」,然而這支隊伍的隊員平均年齡超過三十,最初受到質疑。在高人指導下,她們獲得啟發,開始取得佳績。然而,在大勢向好之際卻因內部背叛而慘敗。經過反思,她們決定改變策略,成功晉級。在決賽面對衛冕多屆冠軍的勁旅,她們能否打破對方多年不敗的紀錄,實現奪冠的夢想? 功夫女足主要演員包括張小斐、迪麗熱巴、張藝興、劉嘉玲及蔡思貝,電影由周星馳執導並由周星馳及Miss Hunny編寫劇本。 電影於7月11日上映後,因為前期趕工,首批拷貝被許多觀眾詬病存在「剪輯拖沓、部分廳無背景音樂、踢球音效失衡、特效粗糙」等技術瑕疵。周星馳團隊罕見地在7月15日宣布,自7月17日起全國院線統一更換「優化版新片源」。新版本雖然總時長不變,但刪減了前期被批評較為零碎、拖沓的無效支線劇情,並補強了足球特效。 如果你在網路上看到某些先前網民討論的舊版劇情、宣傳片片段不見了,就是因為官方更新了播放版本。

👍52👎2

14 Jul 2026, 23:40 UTC≈1,770 views6 reactionsread 8 August 2026
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《STRANGE 伊藤潤二徹夜難眠的奇異故事》開播!改編自伊藤潤二多部經典漫畫 改編自伊藤潤二漫畫的真人單元劇《STRANGE 伊藤潤二徹夜難眠的奇異故事》(ストレンジ -伊藤潤二の夜も眠れぬ奇妙な話-),已在日本時間7月4日凌晨0點12分於東京電視台「ドラマ24」正式開播。 本劇以伊藤潤二經典短篇《至死不渝的愛》(死びとの恋わずらい)作為首集,之後還會改編《壞小孩》、《地縛者》、《幻痛豪宅》、《肋骨女》、《竊臉賊》、《父親的心》、《記憶》、《中古唱片》、《筆友》、《押切怪談》、《富夫·紅色高領衫》、《緩慢的告別》等作品。這些單元劇的共同主題就是「日常生活中突然被荒謬的恐怖所取代」,充滿伊藤潤二式的驚悚與黑色幽默。 可惜第一集《至死不渝的愛》播出後惡評如潮,不僅飾演高中生的演員年紀看起來太大、相當出戲,劇情也無頭無尾。後來小編收到消息,原來第一集並非完結,之後還有兩集才會完整呈現。再加上第二集《壞小孩》播出口碑回升,狀態明

👍42

8 Jul 2026, 21:50 UTC≈2,320 views6 reactionsread 8 August 2026
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由韓日頂尖團隊聯手打造的驚悚科幻影集《氣體人第一號》 2026 年 7 月 2 日在 Netflix 正式上線。這部作品改編自經典 IP,故事背景設定在當代東京,講述了一名大學教授在電視直播中離奇爆炸,隨後自稱「氣體人」的神祕男子現身,預告將展開一連串無差別殺戮。由小栗旬飾演的停職刑警岡本賢治,與蒼井優飾演的記者京子被迫捲入這場超自然危機,在社會陷入極度恐慌之際,竭力挖掘隱藏在「人類燃料」背後的真相。 8集完結

👍51

4 Jul 2026, 08:40 UTC≈2,640 views8 reactionsread 8 August 2026
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2026年最新爆紅恐怖片《愛你致死不渝 Obsession》已經在全球掀起熱潮! 故事講述男主角 Bear 許下一個危險的願望,他強迫女主角 Nikki 徹底愛上自己。結果 Nikki 被植入「比任何人都更愛Bear」的指令後,整個人徹底失控,展開一連串瘋狂又恐怖的執著行為,讓觀眾看得頭皮發麻。 本片由26歲 Gen Z 新銳導演 Curry Barker 親自撰寫劇本,只花了75萬美元和短短20天就完成拍攝,堪稱低成本高效率的代表作。女主角則由曾在《超人與露易絲》影集中飾演 Sarah 的 Inde Navarrette 首次擔任大銀幕主角,她在片中的神級演出被譽為新一代「尖叫女王」。 上映後,《愛你致死不渝 Obsession》在美國不但叫好又叫座,最終票房狂收近4億美元,這個成績在今年來說相當驚人!

👍8

23 Jun 2026, 09:38 UTC≈3,980 views5 reactionsread 8 August 2026
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HBO Max 奇幻史詩劇集《權力遊戲》前傳 - 龍之家族 (House of the Dragon) 第三季正式回歸,隨著坦格利安家族內戰「血龍狂舞」(Dance of the Dragons)全面升溫,這一季不僅被視為全劇最關鍵篇章之一,開播前更已獲得海外影評高度肯定,爛番茄(Rotten Tomatoes)新鮮度目前高達 95% 以上,成為影迷今年最期待的影集之一。 更新至第07集

👍41

Showing the 12 most recent of 15 posts we hold for @dramatonight. 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 — 756,584 of 1,169,250entries 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.

Mentions

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.

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 8 August 2026 — this entry's latest reading, not the date you are reading this.

“褲子穿好來看劇” (@dramatonight), 953 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/dramatonight.

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.