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はてなキーワード: Littleとは

2025-11-09

[]2025秋アニメ (途中)

星は個人的な好みを表したもの作品への評価ではないです。アニメ会社とか声優はよく分からんので。

好みの星はたぶん見ていくうちに変わるし変えてる。自分と違ったとしたら「こいつとは趣味があわんな」くらいのレベルで見てください。

永久のユウグレ ⭐️☆☆

あなたと・・エルシーしたい・・・。第0話から開始のアニメ

小さい頃から共に暮らす天才女性科学者と将来を誓い合ったが、ある事件に巻き込まれコールドスリープ

数百年後に目覚めた日本から物語(1話)は始まる。

この世界では人数や性別関係なく一緒になれる(結婚のような)、"エルシー"という制度があるらしい。ネットミームになりそうでならないワード

最初の方は敵も味方も容赦ない行動をしてたのが好きだったけど、途中から落ち着ていてる気もする。自分の中では右肩下がりです。

出てくる女の子キャラはみんなかわいいOPUru

ある日、お姫様になってしまった件について ⭐️⭐️☆

韓国小説及び漫画原作製作中国アニメ会社。よくあるケースだけど、これは言われないと分からいかも。

未来視の能力を持つお姫様主人公赤ん坊ながら夢で父親追放されるという未来を見てしまう姫様。

9才のあの日、父に出会って暗く辛い人生になるはずだったのに、まさか5才の今、会ってしまった。

姫の行動で以前に見た未来が変わっていく・・?姫がかわいいんよ。

初回1時間で3話分放送テンポはえー。日本テレビ放送向けに編集してる感じ。

9話では14才になる。

不器用な先輩。 ☆☆☆

オフィス舞台1話目でだいたい把握できるやつだと思う。

容姿端麗でクール仕事が出来そうな女性だけど実はコミュ障不器用

あえて周りから壁を作るような態度を作っているのだが、新人男性社員教育係になる。

不器用から出るぶっきらぼうな態度。その後に反省する姿がかわいらしい。けど面倒くさい先輩だなあとも思う。

先輩は心を許している相手にはつい方言九州弁)が出る。ちなみに原作漫画作者は大分出身

OPangela

太陽よりも眩しい星 ⭐️⭐️☆

札幌舞台原作者も札幌市在住。比較的体が大きく、それがコンプレックス女の子主人公

そんなコンプレックスを持ちながら、幼馴染でイケメン同級生男子に恋心を抱く。

友達以上の感情なんだけど、友達より先へは進めない。友達からトモダチ・・・でも・・・なんとももどかしい。

アニメでいうと温度的にはブスに花束をか。感情言語化するのが上手だと思う。

OP秦基博デビュー20周年おめでとう。毎回CM明けのアイキャッチ面白い

主人公席(外窓側一番後ろ)ではない。

矢野くんの普通の日々 ⭐️⭐️☆

隣の矢野くん 2024年に実写映画化してる。

不器用かつ不幸体質でいつもどこかを怪我する矢野くんと、そんな矢野くんが心配で見守り、あ、これもう私好きじゃんと自覚する委員長お話

矢野くんを献身的に支える真っすぐな吉田さんが愛おしい。あとリアクション面白い

座席主人公席ではない。窓際に居ると蜂の大群に襲われるらしい。

お、え、あれ?まだ6話だぞ。

ふたりソロキャンプ ⭐️⭐️☆

最近クマが怖いので海辺キャンプが多い私です。先日私もふたりキャンプデビューしました。いいものですね。

女性輪行キャンパー現る。雫とのライバルキャラですね。厳の夢、キャンプ場造りについてが語られることが増える。

OP変更、EDはそのままだけど歌詞が2番に。

13話は秋川渓谷バーティ

14話は青野原 野呂ロッジキャンプ場。本編冒頭で分かりやす名前が出てる珍しいパターン

15話は西丹沢 大滝キャンプ場。この回好きだった。

16話は山梨黒坂オートキャンプ場。最初あんなにツンツンしてたのに。もうめっちゃ仲いいやん。

17話、18話は小田原市いこいの森RECAMP おだわら

19話、ソロキャンでは浦山口駅近くの橋立川キャンプ場、ふたりソロキャンプでは田貫湖キャンプ場。やっぱり富士山が見える湖畔はいいですね。

しゃばげ ⭐️☆☆

ノイタミナ枠。結構前にドラマもやってる。

名前から想像できると思うが、妖(あやかし)が存在するアニメ

周囲で起こっている事件解決していくというミステリー要素がある。

廻船問屋、薬師問屋、手広くやっている「長崎屋」の若旦那主人公

主人公は体が弱く妖怪が見える。体が弱い理由は後に分かる。

アニメでは鬼人幻燈抄が好きだったので、こういった時代設定とストーリーは助かる。

悪食令嬢 ⭐️☆☆

通常は食べると体調に影響が出てしまう魔獣。そんな魔獣を美味しく食べちゃいましょう。グリル厄介アニメ

懇親会の最中に突然魔獣が出てきて「おいおいマジかよ」とか思ったけど、

我々のいる現実も、街中でイベントやってて突然に熊が出てきてもおかしくない世の中になってきましたな。

ストーリーよりも食を楽しむアニメかな。

野原ひろし 昼メシの流儀 ⭐️⭐️☆

フラッシュアニメみたいな感じ。肝心のメシは写真でも登場する。どれも美味しそう。

最初は15分アニメでいいのでは?と思ったけど全然気にならない。あっという間に終わる。

OPMega Shinnosuke本名らしい。EDサバシスター

EDに登場する看板が「SABASISTER」「スナックななこななこお姉さん)」「双葉寿司双葉社)」など、この作品クレヨンしんちゃん関係するものになっている。

最後ひとつだけお願いしてもよろしいでしょうか ⭐️⭐️☆

開始1秒で婚約破棄される貴族令嬢スカーレットが本作の主人公

最後ひとつだけお願いしてもよろしいでしょうか」

汚名を着させられ悪役令嬢と呼ばれ、婚約破棄されてた子は普通「かわいそう・・」となるのだが、この令嬢も暴力的でヤベー女だった。

やはり暴力・・・・‼暴力は全てを解決する・・・・‼。嫌いな奴はボンボコボンボコスカッスカーレット

見てて体感時間早い。これもアクセラレーションの力なのか。OPCHiCO with HoneyWorks

無職英雄別にスキルなんか要らなかったんだが~ ⭐️☆☆

ある年齢になるとスキルやら職業が与えられる話があるが、

今作は通常10才になると女神の祝福により職業とそれに適したスキルが与えられるという世界

だがしかし主人公にはそれが無し。つまり無職だったと。でも努力天才で、努力本来得ないはずのスキルラーニングしてく。

5話では剣神杯で優勝し、無職ながら剣ではかなり強くなった。次は魔法だ。7話から魔法学院編。

私を喰べたい、ひとでなし ⭐️☆☆

製作が「わたたべ製作委員会」ということなので「わたたべ」が略称らしい。

前期までSummerPocketが瀬戸内海だったが、今回は今作が瀬戸内海アニメだ。

死にたがり主人公に集まる妖怪との百合アニメ百合スキーな人にはいアニメなのかな?

協力に愛媛県伊予市松前町伊予鉄グループ伊予農業高校などなど

4話は本編とおまけとED風邪ひきそうになるくらいの温度差。

SANDA ⭐️⭐️⭐️

サンタクロース末裔である14才の少年主人公

サンタクロースおじさんにも変身できる、色々と設定が斬新で、子供における我々の"あたりまえの環境"が当たり前じゃない世界

BEASTARSと同じ作者ということもあり、BEASTARSのグッズがちょいちょい登場する。

ある日突然いなくなったクラスメイト女の子を探す。

少子化、ジャンダーレスボーダーレスが昨今の作品って感じ。

男女の制服に違いがないこと、小野がどうして消えたのか、基本的に眠らない子供たちなど。5話でいろいろと明らかになる。

この独特な世界観が面白い。ちなみに座席主人公席ではない。

科学×冒険サバイバル! 第2シリーズ ☆☆☆

韓国学習漫画原作。昨年10から今年の3月にかけて2クール放送していた。

それの第2シリーズまさかOPED変らず。(OPの絵は少しだけ変わってる)

また、サブタイトルが以前は「その1」だったのが、「その1(全3話)」と分かりやすくなっている。

さて、今回はお詫びと訂正なしで完走できるだろうか。

テーマ水不足巨大地震干潟巨大地震回においては冒頭に震災に伴うPTSDに配慮したメッセージが入る。

結婚指輪物語Ⅱ ☆☆☆

1年・・いやもう約2年ぶりの2期。エッチなやつです。

普通男子高校生が元々異世界人の幼馴染を追いかけて異世界転移

異世界の脅威に対抗すべく、5人の姫と結婚し、光・火・水・風・土の5つの指輪を手に入れる話だった。

もうあんまり覚えてないが、ただひたすらエロかったことだけは覚えてる。AT-X配信では丸見えバージョンがある。

そういや1期は新キャラが登場して終了だったなー。もう5人の姫と一緒になってるし、これから何するんだっけ。

渡くんの××が崩壊寸前 ☆☆☆

継続2クール目。OPED変更。なんだこのEDタイトル歌詞作品にあってると言えばそうかもしれんが。

いよいよサツキの複雑な家庭環境踏み込む。そしてサツキの心も動き出す。

これも登場人物の全員の性格あんまりきじゃないんだけど、心理学的に中々見逃せない。

見ていて息苦しいんだよなぁ。鈴が一番の癒し。鈴は人生2週目だと思う。

あーでも昔のトレンディドラマってこんな感じの多かったかもなー

味方が弱すぎて補助魔法に徹していた宮廷魔法師、追放されて最強を目指す ☆☆☆

タイトル通り。開始5分で追放される。

味方が弱すぎて補助魔法に徹していたけど実は攻撃魔法も得意。

シーズンでいう『勇者パーティー追放された白魔導師、Sランク冒険者に(略)』がダメだった人はダメだろう・・

ロキの登場くらいかちょっと面白くなった。主人公指揮者のように杖を振り魔法を使う姿はtakt op.Destinyを思い出す。

終末ツーリング ⭐️⭐️⭐️

終末後の日本EVバイクで2人旅ツーリング

開始は終末より週末って感じの始まりガソリン453円、EVは110円、H2は281円の時代

と思ったらタイトルが出てきたくらいか説明なしでいきなり終末になった。

富士山噴火した跡がある。

戦車暴走して襲ってきたり、女の子アンドロイド(?)ミルキーハイウェイマキナよろしくビームぶっぱなしたりで思ってたのと違う。

最初の情景からここまで一体なにがあったのか。どれくらい経ったのか。何故この二人しかいないのか。

船が山の方まで運ばれる程の何があったのか。時折見る昔の景色は本人の記憶なのか。それ以外の人の記憶なのか。土地記憶なのか。謎が多い。

終末前に姉が撮影した写真を見ながら追体験する。

毎回童謡民謡が歌われる。箱根では「箱根八里」横浜では「赤い靴横須賀では「横須賀市歌」、台場有明付近では「鉄道唱歌」、

秋葉原では「てのひらを太陽に」、木更津で雨が降った時は「あめふり」、つくばでは「Twinkle, Twinkle, Little Star

EDが毎回その場に合わせたものになっている。好き。

不滅のあなたへ シーズン3 ⭐️☆☆

ついに現代へ。好きなキャラマーチです。

現代だし、一応フシが望んだ?世界になったわけだし、みんなが生き返って集合したし、

今までのシーズンとは違ったテイストスタート。3話目で狂ってきた。やっぱりこうじゃなくっちゃ。

OPPerfume座席主人公席。

ウマ娘 シンデレラグレイ ⭐️⭐️⭐️

こっちのマーチも好き。やはりマーチヒロイン

スーパークリーク武豊が走った菊花賞の話も出るのね。スーパークリークといえば有馬記念はどう書くのだろう。

EDオグリタマモのデュエット曲。いいっすね。上手ですね。どこかの歌手かと思った。

2025年8月12日放送マツコの知らない世界で紹介してたんだけど、マツコさんには刺さってなかったっぽいなー

オグリキャップドンピシャ世代有馬記念では号泣してたみたいだから、この機会に見て欲しかったなー

東島丹三郎仮面ライダーになりたい ⭐️⭐️⭐️

仮面ライダーに憧れたまま成長した大人たちの話?

仮面ライダーに本気で憧れ、体も本気で鍛え上げた。

ショッカー強盗流行っているこのご時世。まさに目の前でもそれが起こっていた。

悪は見逃せない。屋台で買った仮面ライダーのお面をかぶりショッカーの前に立ちふさがる。

その時不思議な事が起こった

あー好きですね音楽もいいですね。原作曲のアレンジもいいですね。やっぱ好きなものに異常に取り組む人の話に弱いね、私。

OPはTeddyLoid feat. Shigeru Matsuzaki accelerated by TOPHAMHAT-KYO松崎しげるおるんかい

らんま1/2 ⭐️⭐️☆

もう普通女性の真っ裸を描くのね。最近リメイクアニメの中では好きな方です。

八宝菜OPEDで登場するが本編で出てくることはあるのだろうか。→昔と変わらない感じで登場したわ

OP水曜日のカンパネラEDはにしな。

EDの絵柄も1期と同じようにあずきちゃんタッチ

EDアカネの動きは初代OPじゃじゃ馬にさせないで」の動きだよね。

友達の妹が俺にだけウザい ☆☆☆

最近でいうと「男女の友情は成立する?(いや、しないっ!!)」くらい面倒くさい恋愛アニメ・・・と思ってたけど

主人公のがウザい。主人公が一番ウザい。

3話でやってること終始ドン引きだったんだけど。ちょっと受け入れられないなこれ。

まぁサブタイに「俺だけがウザい」とあったが。それにしてもだ。

OPアニメーション、ほぼ全てパロディネタ。さて、君はどれくらい元ネタを知っているかな?

アルマちゃん家族になりたい ⭐️☆☆

学会から追放された二人の天才科学者が作り出したカワイイ人型ロボットアルマ

「次の指示を。おとうさん、おかあさん」「「お父さんお母さん!?」」

アルマちゃんかわいすぎんでしょ。アルマちゃんを愛でるアニメです。

疑似家族が本当の家族になっていくほのぼの日常アニメほっこりするわ~

これもOP中に今回の予告があるタイプ

羅小黒戦記(ロシャオヘイセンキ) ⭐️☆☆

中国WEBアニメ原作。羅小黒戦記シリーズの原点ともいうべき作品か。

1話5分のアニメを4つくっつけた感じ。万聖街もこんな感じだったね。

『羅小黒戦記 ぼくが選ぶ未来』が2019に作られ、日本でも2020年に日本劇場公開された。

テレビでも2022年にテレビ向けに編集されたものが全5話で放送された。さらにこの映画版の続編が現在劇場公開中。

ストーリー時系列でいうと、映画(2019)の2年後が今度の映画(2025)、そのさらに2年後がこのWEBアニメかな。

EDAimer

野生のラスボスが現れた! ⭐️☆☆

主人公ゲーム世界召喚される。それも自身が最強クラスに育て上げたキャラクターとして。

SEがちょいちょい古い。戦闘時の効果音DBっぽいのよ。

OP岸田教団&THE明星ロケッツ

ゲーム版はサンソフトが作ってるのでサン電子提供に入ってる。「サンソフト!」のあの声久しぶりに聞いたなー

あなたサンソフトはどこから?私はいっき。あー、アルバートオデッセイまたやってくれないかなー。

. 

書ききれないので続きはこの下へ

2025-10-21

Little Witch in the Woods エンディングまで進めた。実績埋めは作業感マシマシだから辞めた。

数学の分類はこんな感じか

フェミニズムの分類が多すぎると聞いて

anond:20251020210124

0. 基礎・横断

集合論

公理集合論(ZFC, ZF, GCH, 大きな基数)

記述集合論(Borel階層, Projective階層, 汎加法族)

強制法フォーシング), 相対的一致・独立

理論理学

述語論理(完全性定理, コンパクト性)

モデル理論(型空間, o-極小, NIP, ステーブル理論

証明論(序数解析, カット除去, 直観主義論理

再帰理論/計算可能性(チューリング度, 0′, 相対計算可能性)

圏論

関手自然変換, 極限/余極限

加群圏, アーベル圏, 三角圏, 派生

トポス論, モナド, アジュンクション

数学基礎論哲学

構成主義, 直観主義, ユニバース問題, ホモトピー型理論(HoTT)

1. 代数学

群論

組み合わせ群論(表示, 小石定理, 自由群)

代数群/リー群表現, Cartan分解, ルート系)

幾何群論ハイパーリック群, Cayleyグラフ

環論

可換環論(イデアル, 局所化, 次元理論, 完備化)

可換環アルティン環, ヘルシュタイン環, 環上加群

体論・ガロア理論

体拡大, 分解体, 代数独立, 有限体

表現

群・リー代数表現(最高ウェイト, カズダン–ルスティグ)

既約表現, 調和解析との関連, 指標

ホモロジー代数

射影/入射解像度, Ext・Tor, 派生関手

K-理論

アルバースカルーア理論, トポロジカルK, 高次K

線形代数

ジョルダン標準形, 特異値分解, クリフォード代数

計算代数

Gröbner基底, 多項式時間アルゴリズム, 計算群論

2. 数論

初等数論(合同, 既約性判定, 二次剰余)

代数的数論(代数体, 整環, イデアル類群, 局所体)

解析数論(ゼータ/ L-関数, 素数定理, サークル法, 篩法)

p進数論(p進解析, Iwasawa理論, Hodge–Tate)

算術幾何楕円曲線, モジュラー形式, 代数多様体の高さ)

超越論(リンマンヴァイエルシュトラス, ベーカー理論

計算数論(楕円曲線法, AKS素数判定, 格子法)

3. 解析

実解析

測度論・ルベーグ積分, 凸解析, 幾何的測度論

複素解析

変数リーマン面, 留数, 近似定理

変数(Hartogs現象, 凸性, several complex variables)

関数解析

バナッハ/ヒルベルト空間, スペクトル理論, C*代数, von Neumann代数

調和解析

フーリエ解析, Littlewood–Paley理論, 擬微分作用素

確率解析

マルチンゲール, 伊藤積分, SDE, ギルサノフ, 反射原理

実関数論/特殊関数

ベッセル, 超幾何, 直交多項式, Rieszポテンシャル

4. 微分方程式力学系

常微分方程式(ODE)

安定性, 分岐, 正準系, 可積分系

偏微分方程式(PDE)

楕円型(正則性, 変分法, 最小曲面)

放物型(熱方程式, 最大原理, Harnack)

双曲型(波動, 伝播, 散乱理論

非線形PDE(Navier–Stokes, NLS, KdV, Allen–Cahn)

幾何解析

リッチ流, 平均曲率流, ヤンミルズ, モノポールインスタント

力学系

エルゴード理論(Birkhoff, Pesin), カオス, シンボリック力学

ハミルトン力学, KAM理論, トーラス崩壊

5. 幾何学・トポロジー

位相幾何

点集合位相, ホモトピーホモロジー, 基本群, スペクトル系列

幾何トポロジー

3次元多様体幾何化, 結び目理論, 写像類群)

4次元トポロジー(Donaldson/Seiberg–Witten理論

微分幾何

リーマン幾何(曲率, 比較幾何, 有界幾何

シンプレクティック幾何(モーメント写像, Floer理論

複素/ケーラー幾何(Calabi–Yau, Hodge理論

代数幾何

スキーム, 層・層係数コホモロジー, 変形理論, モジュライ空間

有理幾何(MMP, Fano/一般型, 代数曲線/曲面)

離散幾何・凸幾何

多面体, Helly/Carathéodory, 幾何極値問題

6. 組合せ論

極値組合せ論(Turán型, 正則性補題

ランダムグラフ/確率方法(Erdős–Rényi, nibble法)

加法組合せ論(Freiman, サムセット, Gowersノルム)

グラフ理論

彩色, マッチング, マイナー理論(Robertson–Seymour)

スペクトルグラフ理論, 拡張グラフ

組合設計ブロック設計, フィッシャーの不等式)

列・順序・格子(部分順序集合, モビウス反転)

7. 確率統計

確率論(純粋

測度確率, 極限定理, Lévy過程, Markov過程, 大偏差

統計

数理統計推定, 検定, 漸近理論, EM/MD/ベイズ

ベイズ統計MCMC, 変分推論, 事前分布理論

多変量解析(主成分, 因子, 判別, 正則化

ノンパラメトリックカーネル法, スプライン, ブーストラップ

実験計画/サーベイ, 因果推論(IV, PS, DiD, SCM

時系列(ARIMA, 状態空間, Kalman/粒子フィルタ

確率最適化/学習理論

PAC/VC理論, 一般境界, 統計学習

バンディット, オンライン学習, サンプル複雑度

8. 最適化オペレーションリサーチ(OR)

凸最適化

二次計画, 円錐計画(SOCP, SDP), 双対性, KKT

凸最適化

多峰性, 一階/二階法, 低ランク, 幾何的解析

離散最適化

整数計画, ネットワークフロー, マトロイド, 近似アルゴリズム

確率的/ロバスト最適化

チャンス制約, 分布ロバスト, サンプル平均近似

スケジューリング/在庫/待ち行列

Little法則, 重み付き遅延, M/M/1, Jackson網

ゲーム理論

ナッシュ均衡, 進化ゲーム, メカニズムデザイン

9. 数値解析・計算数学科学計算

数値線形代数(反復法, 直交化, プリコンディショニング)

常微分方程式の数値解法(Runge–Kutta, 構造保存)

PDE数値(有限要素/差分/体積, マルチグリッド

誤差解析・条件数, 区間演算, 随伴

高性能計算HPC)(並列アルゴリズム, スパー行列

シンボリック計算(CAS, 代数的簡約, 決定手続き

10. 情報計算暗号(数理情報

情報理論

エントロピー, 符号化(誤り訂正, LDPC, Polar), レート歪み

暗号理論

公開鍵RSA, 楕円曲線, LWE/格子), 証明可能安全性, MPC/ゼロ知識

計算複雑性

P vs NP, ランダム化・通信・回路複雑性, PCP

アルゴリズム理論

近似・オンライン確率的, 幾何アルゴリズム

機械学習の数理

カーネル法, 低次元構造, 最適輸送, 生成モデル理論

11. 数理物理

古典/量子力学の厳密理論

C*代数量子論, 散乱, 量子確率

量子場の数理

くりこみ群, 構成的QFT, 共形場理論CFT

統計力学の数理

相転移, くりこみ, Ising/Potts, 大偏差

可積分系

逆散乱法, ソリトン, 量子可積分モデル

理論幾何

鏡映対称性, Gromov–Witten, トポロジカル弦

12. 生命科学医学社会科学への応用数学

数理生物学

集団動態, 進化ゲーム, 反応拡散, 系統樹推定

数理神経科学

スパイキングモデル, ネットワーク同期, 神経場方程式

疫学感染症数理

SIR系, 推定制御, 非均質ネットワーク

計量経済金融工学

裁定, 確率ボラ, リスク測度, 最適ヘッジ, 高頻度データ

社会ネットワーク科学

拡散, 影響最大化, コミュニティ検出

13. シグナル・画像データ科学

信号処理

時間周波数解析, スパー表現, 圧縮センシング

画像処理/幾何処理

変動正則化, PDE法, 最適輸送, 形状解析

データ解析

多様体学習, 次元削減, トポロジカルデータ解析(TDA

統計機械学習回帰/分類/生成, 正則化, 汎化境界

14. 教育歴史方法

数学教育学(カリキュラム設計, 誤概念研究, 証明教育

数学史(分野別史, 人物研究, 原典講読)

計算支援定理証明

形式数学(Lean, Coq, Isabelle), SMT, 自動定理証明

科学哲学数学実在論/構成主義, 証明発見心理

little witch nobeta公式エロfantiaに久々に課金しようかな

2025-09-27

Anfethe deathof a 2-year-old girl due to abuse , saying, "Serves you right, filthy little thing

Regarding the death of a 2-year-old girl who was abused , people said, "That filthy baby is gone (lol) " and " Even if that filthy thing grows up, it will become a blaming- other feminist , so the parents were right 👍"

There is a woman from Anfe who says

Unforgivable

I will never forgive you

This is the reality of anti- feminism

[] https://tensor.art/articles/913257577377232465

[] https://tensor.art/articles/913266912488637376

[] https://tensor.art/articles/913267223873777401

[] https://tensor.art/articles/913269633350380282

[] https://tensor.art/articles/913269852393713698

2025-08-23

ジャップの飯、海外から「マズイ」「味が薄い」という評価を得る

/int/でボロカスに叩かれるジャップ食に涙…

ネトウヨさん曰く「日本食世界で一番人気」だった筈なのに…

ジャップって香りに飢えすぎて松茸ときでんほってる民族から

他のアジア地域香辛料使うの国が多いのにジャップは全くといって良いレベル香辛料を使わない

香辛料が未発達

子供舌なんだよジャップ

あまあまで舌が甘やかされてる馬鹿

臭い肉や臭い魚をなんとかして食おうとした経験がない虚弱



Anonymous 🇭🇰:

It is a period of civil war. Rebel spaceships, striking from a hidden base, have won their first victory against

the evil Galactic Empire.

「なんか日本食事って味付けがシンプル過ぎて香りとかそういった物が無い、つまり浅いんだよね。あと味が甘過ぎる。」

 

Anonymous 🇷🇺:

>> 214072341(OP) During the battle, Rebel spies managed to steal secret plans to the Empire’s ultimate weapon, the DEATH STAR, an armored space station with enough power to destroy an entire planet.

「確かにそれは思う。日本旅行に行った時に色々と食べて見たけど実際彼らは香辛料をあまり使わない。なんでも甘くするか醤油の味にしてしまう。これじゃ中国食べ物太刀打ち出来ないね。」

 

Anonymous🇺🇸:Pursued by the Empire’s sinister agents, Princess Leia races home aboard her starship, custodian of the stolen plans that can save her people and restore freedom to the galaxy

「実際、日本人は宇宙一食材への味付けが下手くそ民族だ。アフリカのような発展途上国といい勝負だよ。彼らは日本が何千年前に建国されたと信じているみたいだけど食は全く発達してないね…」

 

Anonymous 🇮🇹:

Luke Skywalker has returned to his home planet of Tatooine in an attempt to rescue his friend Han Solo from the clutches of the vile gangster Jabba the Hutt.

日本食事は何であんなに甘ったるくて味が薄いんだ?彼らは香辛料存在を知らないのか?昔は外国貿易していなかったのか?」

 

Anonymous 🇻🇳:

Little does Luke know that the GALACTIC EMPIRE has secretly begun construction on a new armored space station even more powerful than the first dreaded Death Star.

アジアの中で香辛料が発達しなかった国は日本韓国だけだ。どうして彼らは香辛料を知らないんだ?中国は何千年も前から香辛料を使っていた。」

 

Anonymous 🇦🇱:

When completed, this ultimate weapon will spell certain doom for the small band of rebels struggling to restore freedom to the galaxy….

「クソ日本人はどうして同じ味付けしか出来ないんだ?彼らの舌は何千年経っても貧乏なようだ」

2025-08-17

ルー・リードルー・リード詩集」(河出書房新社

経歴

ルー・リード(1942-2013)は、ロックミュージシャンシンガーソングライターギタリスト)。

ニューヨーク郊外会計士を営む実家に生まれ、シラキュー大学では英米文学を専攻し、伝説的な作家デルモア・シュワルツ師事しながら、ギターを持ち、B級レコード会社のために流行にのったヒットソングパクリのような曲を提供していた。

この頃、同性愛(極度のホームシックによる鬱症状という説もある)治療のために家族の手配で電気ショック治療を受けさせられる。

1964年伝説ロックバンド「ヴェルヴェットアンダーグラウンド」のメンバーとしてデビューし、ショッキング歌詞前衛的な演奏カルト的人気を博した。

1970年代にはソロに転じ、前半はデヴィッドボウイプロデュースした「トランスフォーマー」で、グラムロック代表的ミュージシャンとして活躍した。お笑い芸人HG」のルックスはこの時期の彼に影響を受けている。

徐々に黒人音楽に傾倒し70年代後半はドンチェリーらと組んでフリージャズファンクラップのような歌が合体した奇妙な作品を出し、軽い混迷期に入った。

80年代以降はシンプルな4ピースギター×2,ベースドラム)の骨太演奏に語りのようなモノトーンな歌い方を乗せる方法論が定着し、「ブルーマスク」「ニューヨーク」などとっつきづらいがくせになる名盤を作った。

その後セールスは低迷し、本人も70年代後半のような実験的・音響的な方向に傾倒し、2000年代中盤以降新作はリリースされず、2011年に突然、スラッシュメタル大御所メタリカと共作アルバム「ルル」を作ったが、長尺でラフ演奏メロディほとんどない歌声が乗る(しか一曲が長い)作品は、特にメタリカファンから酷評された。2013年肝臓癌で死去。

作品紹介

この詩集生前に発表された唯一の詩集(多分)で、彼の歌詞と、雑誌に発表した詩・記事からなる。

詩の魅力

ボブディランのような多義性・はぐらかしや、レナードコーエンのような崇高さとは異なり、ルー・リード歌詞は明確、即物的客観的で、感情を乗せない、観察者的な視点が特徴である言葉遊びも少ない。

テーマ

テーマショッキングものが多いが、それが詩の構造精神にまで侵食せず、あくま象徴として機能しているのが魅力で、それゆえ、声を張らなくても、メロディを工夫しなくても(楽曲ほとんどが2~3コードで作られている)、演奏を盛り上げなくても、聞き手に迫る。

薬物

代表作「ヘロイン」は文字通りヘロインについて歌った作品であり

ヘロイン/ぼくの死であれ/ヘロイン/ぼくの女房でぼくの人生

と、その表現は率直で容赦ない。

ただ、ヘロイン自体の直接的・具体的な描写はなく、これは読み手聞き手)には、自分愛着をもち、人生代替となる「何か」と置き換え可能普遍性を持つ。

恋愛

1970年代中盤の名盤ベルリン」、「悲しい歌」の歌詞には

「ぼくは彼女スコットランド女王メリーだと思った/ものすごく努力したのに/まったくの勘違いだとわかっただけ」

と、ここだけ読むと幼稚なほどロマンチック失恋の歌なのだが、最後

「他のやつなら彼女の両腕を折ったことだろう」

と突然血なまぐさくなる。

家族

一見強面・ハードな印象のある作者だが、薬物以外に拘りがあるのが「家族」で、例えば、

「おふくろに恋人ができた」という歌は、

「おふくろに恋人ができた/昨日やつに会ってきた/おふくろが新しい人生の1ページを始める/やつとの関係が早く終わってほしい」

とあるルー・リード44歳のとき作品である

「妹へ」という歌は

「元気が無いって自分でもわかっている/このところ調子が良くないからな/でも信じてくれ/ぜんぶおれのせいだ/おれはずっと自分可愛い妹を愛してきた」

ストレート愛情を歌っている(妻を歌うときにこのような率直さはない)。

自殺

79年のアルバム「ザ・ベルズ」は控えめに言っても駄作だが、最終2曲が秀逸で、

「おれは家業なんていらない/あんたが死んだってそんなもの継ぎたくない」

「パパ/こうやって訪ねたのは間違いだった」

と歌う「家族」ルー・リード父親を憎む発言を繰り返し、生前最後インタビューでも「親父はオレにそんなクソ(注:ギターのこと)はよこさなかった」で締めた。)

に続き、

「宙を舞い/体をつなぎとめるものもなく/宙を舞い/膝から地面に落ちた時/パラシュートなしで公演するのは/あまりかっこ良いものではなかった」

と夜のブロードウェイでの飛び降り自殺を描く「鐘(The Bells)」で終える。

死を選び家族に別れを告げた遺書のようである

好きな理由

露悪的ではあるが、情緒に頼るところはなく、自分のことを歌っているようでもどこか第三者的目線を感じる。その透徹したところが魅力で、苦しさややるせなさを抱えていても、読むと「ふわっと」自分から離れられる不思議な癒やしが感じられる。

自分気持ちを抑えられないほど悲しいときや辛いときに読むと、不思議浄化作用を得られる。

ユーモア

自分が好きな歌詞は、本当に悪趣味なのだが、「黒人になりたい」という歌で、

黒人になりたい/ナチュラルリズムを身につけて/6メートル先まで精液をとばし/ユダヤ人のやつらを痛めつけてやる」

という、人によっては噴飯もの歌詞だが、リズムの良さと話題の飛躍に、どこか英雄に憧れるおとぎ話めいたユーモアがある。

そして、ルー・リードユダヤ系アメリカ人であることを念頭に置くと(そして、本人がそのことを歌で一切明かさないことを含めると)、この人の自虐性とユーモア、という側面も見えてくる。

読み手聞き手によって評価は異なるが、自分にとっては、「毒」を浄化してくれる「毒」(=解毒剤)だと思います

以上

参考資料

書影

https://www.kawade.co.jp/np/isbn/9784309257501/

(楽曲)

(heroin)

https://www.youtube.com/watch?v=yN-EZW0Plsg

(mama’s got a lover)

https://www.youtube.com/watch?v=mEuShdchzkk

(families)

https://www.youtube.com/watch?v=JXbu4z2kc6s

(I wanna be black)

https://www.youtube.com/watch?v=H-ksg_ZVn8s

(sad song)

https://www.youtube.com/watch?v=QG_ooIR0DTY

(little sister)

https://www.youtube.com/watch?v=ZbOG-2ahx4w

(the bells)

https://www.youtube.com/watch?v=9tS1wCEzOTk

2025-07-21

なんかスパムで荒れてるし今から英語使ったら負けなwwwwよーい

I have a dream that one day on the red hills of Georgia, the sons of former slaves and the

sons of former slave owners will be able to sit down together at the table of brotherhood.

I have a dream that one day even the state of Mississippi, a state sweltering with the heat

of injustice, sweltering with the heat of oppression, will be transformed into an oasis of

freedom and justice.

I have a dream that my four little children will one day live in a nation where they will not

be judged by the color of their skin but by the content of their character.

I have a dream today!

I have a dream that one day, down in Alabama, with its vicious racists, with its governor

having his lips dripping with the words of "interposition" and "nullification" -- one day right

there in Alabama little black boys and black girls will be able to join hands with little white

boys and white girls as sisters and brothers.

I have a dream today

2025-07-18

愛を愛を

真夜中のサンダーロード

今夜も抑えきれないエネルギーを探し続けている

ストリートの上のロックライダー

夜更けの固い小さなベッドの上で

愛を待ち続けている sweet little sixteen

愛されたいと願っているパパも 融通の利かないママ

そして今にも諦めてしまいそうな君にも

今夜はとびっきりご機嫌なrock'n roll musicを届けよう

アンテナをのばし、周波数をあわせ

システムの中に組み込まれしまう前に

僕が送るHot Numberキャッチしておくれ

2025-07-07

Hey everyone. I don't know where else to post this. I need to write it down before I convince myself I was just hallucinating. I’m a grad student in Japan, doing fieldwork on forgotten local folklore. That's why I was out in the absolute middle of nowhere in Gunma prefecture last night.

My plan was to visit a tiny, dying village called Yomi-touge (not its real name) that supposedly has some unique traditions. Of course, my phone lost signal hours ago, and my car's GPS, which I bought in 2015, decided to have a total meltdown. The sun went down. The mountain roads are narrow and winding, and a thick, soupy fog started to roll in. The kind of wet, heavy air that makes you feel like you’re breathing water. I was completely, hopelessly lost.

After what felt like an eternity of driving at a crawl, I saw it. A light. A single, brutally bright rectangle of light cutting through the fog. A convenience store. One of those big chains you see everywhere, a FamilyMart or a Lawson, I couldn't tell which at first. I’ve never felt so relieved in my life. I parked the car and practically ran inside, the little door chime sounding way too loud in the dead silence.

The inside wasnormal. Too normal. The lights were humming with a high-pitched buzz that drilled into my skull. The shelves were perfectly stocked. The air smelled of cheap air freshener and something elsesomething sweet and hot, like ozone or burnt sugar.

And then I saw the clerk.

He was a young guy, maybe my age. Pale, drenched in sweat, with dark circles under his eyes like bruises. He moved with a painful stiffness, like every joint was rusted. He muttered a "Irasshaimase…" without even looking at me, his eyes fixed on the counter. His arms were covered in these intricate, dark tattoos, winding from his wrists up under his sleeves. I figured he was just sick, or on a rough shift. I felt bad for him.

I grabbed a can of coffee and went to the counter. "Sorry to bother you," I started in Japanese, "I'm pretty lost. Could you tell me where I am?"

He looked up, and his eyes didn't seem to focus on me. It was like he was looking at a screen a few inches in front of my face. "We do not provide directional information," he said, his voice a flat, rehearsed monotone. "Will that be all for you?"

Okay, weird, but whatever. Maybe it's store policy. As he reached for my coffee, his sleeve slid up. The tattoos on his arm… they weren’t just pictures. For a split second, I swear to God, the lines of ink shifted. They writhed, like tiny black worms under his skin, and a patch of his forearm glowed with a faint, sickly red light. He flinched, a sharp intake of breath, and quickly pulled his sleeve down.

I just froze. I couldn’t have seen that, right? I was tired, my eyes were playing tricks on me.

Then the door chimed again.

The person who walked in… I don’t know how to describe them. It was a man, I think. He was tall and wore an old, soaked trench coat. But his face… it was like my brain refused to process it. It wasn't that he had no face, it was that my eyes would slide right off it. It was a blur, a glitch, a 404 error in human form.

The clerk didn't seem surprised. He didn't even seem to see him as strange. His posture just became even more rigid. The red glow on his arm pulsed again, brighter this time, visible through his sleeve.

The faceless man didn't speak. He just stood there. The clerk, without a word, turned. But he didn't go to the coolers. He kept his back to the man, and held out his left hand, palm up. I heard a soft, wet, squelching sound. From a small, dark slit in the center of his palm that I hadn't noticed before, a small carton of strawberry milk, the kind you give to kids, just… emerged. It was produced out of his hand. It was wet with a clear, viscous fluid.

He placed it on the counter. "Here is the requested product," the clerk said, his voice straining. "The transaction is complete."

The faceless man picked up the strawberry milk. He put it in his coat pocket. And then he just… faded. He didn’t walk out the door. He dissolved into the humming air, like heat haze. A second later, he was gone.

The clerk let out a long, shuddering breath and swayed on his feet. He leaned heavily on the counter, his face sheet-white. He looked utterly, existentially exhausted. He saw me staring, my mouth hanging open, the can of coffee still in my hand.

For the first time, a flicker of something real, something human, crossed his face. It was pure, undiluted terror.

"You… are not a regular customer," he whispered, his voice trembling. "Your… concept is too stable. Please. Leave."

I didn't need to be told twice. I threw a 500 yen coin on the counter and ran out of there so fast I think I broke the sound barrier. I didn't even take my coffee. I just got in my car and drove, I don't know in which direction, I just drove.

I'm at a service station now, about 100km away. The sun is coming up. I can't stop shaking. It wasn't a dream. I know it wasn't. Because when I was fumbling for my keys, I realized I had accidentally grabbed the receipt from the counter.

It’s not for my coffee. It’s for the other transaction. It just has one item listed. It doesn't say "Strawberry Milk." It says:

ITEM: CONCEPTUAL SALVATION (FLAVOR: CHILDHOOD NOSTALGIA) - 1 UNIT

PRICE: ¥0

METHOD: ANNULMENT

Has anyone seen a store like this? What the hell is happening in the mountains of Gunma? What did I see? And God, that poor kid working the counter. He isn't in trouble. He's a part of it. He's the machine.

2025-07-05

Craig Federighi’s Circus at WWDC: Who the F*** Asked for This?

Let’s get one fucking thing straight: WWDC is supposed to be *for developers*。

You know, the people who actually build shitWho dig into SDKs, APIs, system frameworks。

Who care about real updates like “What the hell is the new SwiftUI lifecycle doing?”

or “Can I finally use fucking private entitlements without jumping through flaming hoops?”

So why the hell does Apple keep opening its most important developer event of the year

with Craig Federighi doing goddamn *skydiving*? Or *parkour*? Or some *Fast & Furious parody*

with an F1 helmet and sunglasses? What the actual fuck is going on?

This isn’t Saturday Night Live。This is supposed to be a showcase of what we’re all supposed

to build our future onVision。Platform direction。Architecture。

Instead, we get Craig zooming through corridors in slow-mo like he’s auditioning for

Mission Impossible 9: MacBook Drift。

And it’s not even funny anymore。Maybe the first time it was *kind of* charming。

A little wink at the audience。でも now? It’s just fucking cringe。

Wasted timeWasted bandwidth。A glossy, over-produced middle finger to every developer

watching, notebook in hand, waiting for the actual meat

Ask Yourself This:

Do you really give a fuck about Craig’s entrance?

Do you sit there thinking, *“Wow, this is such a great use of my time!”*

>>

“CUT THE SHIT, CRAIG. SHOW ME THE FUCKING TOOLS.”

<<

We’re being sold a fantasy — not a platform vision

What should be an opportunity to say,

Here’s how Apple wants developers to think in the next 5 years,”

becomes a shallow PR reel of stunts, shots, and skits

Developers want **guidance**, not gimmicks。**Vision**, not vanity。

What Could Have Been?

Instead of 3 minutes of Craig pretending he’s Neo in a hallway full of Mac Studios,

how about showing us the **real** architectural shifts in Swift,

or a **deep dive** into low-level memory optimizations in macOS?

How about finally explaining wtf is happening with `SwiftData`?

Or *anything* that makes us better builders?

We could have had 20 more seconds of **clarity**, not costume。

Final Thought:

WWDC is Apple’s time to inspire, to lead, to fucking **guide** the ecosystem

But lately?

It feels more like we’re watching the Craig Federighi Variety Hour。

And I didn’t fucking subscribe to that

----

TL;DR

Craig Federighi’s Circus at WWDC: Who the F*** Asked for This?

Let’s get one f***ing thing straight: WWDC is supposed to be *for developers*.

You know, the people who actually build shit. Who dig into SDKs, APIs, system frameworks.

Who care about real updates like “What the hell is the new SwiftUI lifecycle doing?”

or “Can I finally use fucking private entitlements without jumping through flaming hoops?”

So why the hell does Apple keep opening its most important developer event of the year

with Craig Federighi doing goddamn *skydiving*? Or *parkour*? Or some *Fast & Furious parody*

with an F1 helmet and sunglasses? What the actual f*** is going on?

This isn’t Saturday Night Live. This is supposed to be a showcase of what we’re all supposed

to build our future on. Vision. Platform direction. Architecture.

Instead, we get Craig zooming through corridors in slow-mo like he’s auditioning for

Mission Impossible 9: MacBook Drift.

And it’s not even funny anymore. Maybe the first time it was *kind of* charming.

A little wink at the audience. But now? It’s just fucking cringe.

Wasted time. Wasted bandwidth. A glossy, over-produced middle finger to every developer

watching, notebook in hand, waiting for the actual meat.

Ask Yourself This:**
Do you really give a f*** about Craig’s entrance?**

Do you sit there thinking, *“Wow, this is such a great use of my time!”*

> “CUT THE SHIT, CRAIG. SHOW ME THE FUCKING TOOLS.”

We’re being sold a fantasy — not a platform vision.

What should be an opportunity to say,

Here’s how Apple wants developers to think in the next 5 years,”

becomes a shallow PR reel of stunts, shots, and skits.

Developers want **guidance**, not gimmicks. **Vision**, not vanity.

What Could Have Been?**

Instead of 3 minutes of Craig pretending he’s Neo in a hallway full of Mac Studios,

how about showing us the **real** architectural shifts in Swift,

or a **deep dive** into low-level memory optimizations in macOS?

How about finally explaining wtf is happening with `SwiftData`?

Or *anything* that makes us better builders?

We could have had 20 more seconds of **clarity**, not costume.

Final Thought:**

WWDC is Apple’s time to inspire, to lead, to fucking **guide** the ecosystem.

But lately?

It feels more like we’re watching the Craig Federighi Variety Hour.

And I didn’t f***ing subscribe to that.

----

TL;DR**

2025-04-18

anond:20250418101258

医学用語と偉そうに書いてるけど欧米言語の直訳なのよね

示指「index finger」

中指「middle finger」

環指「ring finger」

小指「little finger」

2025-04-09

Rockな人がテクノ(打ち込み)に手を出してうっかり作ったいい曲を教えて

こういうの

1. David Bowie - Little Wonder

2. Lenny Kravitz - Black Velveteen

3. くるり - ワールズエンド・スーパーノヴァ

2025-04-05

アメリカ人トランプ関税を悪く言う人間はいない

Bugman Hegel

@FedPoasting

In 2011, my papa was laid off from a Whirlpool manufacturing plant, the kind that had for so long made America great. In the wake of the financial crisis, the C-suite had decided to offshore operations to Mexico.

The plant they shuttered was a 1.2 million sq ft manufacturing plant, and overnight, 1,000 people lost their jobs. Many of whom had been working there for decades.

My papa was 57 years old when he got laid off. He had worked at that very same plant for over 30 years, and snap just like that, it was all gone.

1/6

2011年、私の父は、長年アメリカを偉大にしてきたワールプール社の製造工場から解雇されました。金融危機を受けて、経営陣はメキシコへの事業移転を決定しました。

閉鎖された工場120万平方フィート製造工場で、一夜にして1,000人が職を失った。その多くは数十年にわたってそこで働いていた人たちだった。

父は57歳のとき解雇されました。父は30年以上同じ工場で働いていたのですが、突然すべてが消えてしまったのです。

1/6

When I was a little girl, from as far back as I could remember, my papa woke up at 3:30 am and drove the 40 minutes to the plant from the rural 1,200-person town every single day. And for 30 years, he worked what were often 10-12 hour shifts with no complaints.

I grew up a Navy brat, so I didn’t get to see my grandparents except for a few months during the summer, but I remember my papa exerting the last drop of his energy so he could spend time with us going to the creek, building us a tree house, riding horses, and playing cowboys and Indians.

Every evening, starting from when I was in grade school, my papa and I would sit in the living room and watch the History Channel, Animal Planet, and Bill O’Reilly and hee-haw together about what the Democrats were doing, as much as an eight-year-old can.

My papa and my nana had been together since they graduated high school; they got married at barely 18 and had my mom less than a year later and my aunt soon after that.

They had a small homestead, owned most of what they had outright, and they were poor, but poor doesn’t have to mean that much when you can work the land.

My nana worked as the local school’s secretary, and my papa had good benefits with his manufacturing job. They only ever went out to eat on special occasions. McDonald’s was a birthday-only type of affair. They had a one-acre garden, a few head of cattle, would can fruits and vegetables at the end of every summer, and freeze chopped okra, blueberries, meat from wild hogs and venison in an old chest freezer in the workshop.

私がまだ子供だった頃、物心いたこから、父は毎日午前 3 時半に起きて、人口 1,200 人の田舎から工場まで 40 分かけて車で通っていました。そして 30 年間、父は不満を言うことなく、10 時間から 12 時間シフト勤務をこなしました。

私は海軍の子供として育ったので、夏の数か月を除いて祖父母に会う機会はありませんでしたが、父が最後の力を振り絞って私たちと一緒に小川に行ったり、ツリーハウスを作ったり、馬に乗ったり、カウボーイやインディアンごっこをしたりして時間を過ごしていたことを覚えています

小学生の頃から、毎晩、私とパパはリビングルームに座って、ヒストリーチャンネルアニマルプラネットビル・オライリーを見て、8歳の子どもができる限り民主党が何をしているのか一緒に大笑いしていました。

私の父と祖母高校卒業して以来ずっと一緒にいました。彼らは18歳になるかならないか結婚し、1年も経たないうちに母が生まれ、その後すぐに叔母が生まれました。

彼らは小さな農場を所有し、所有物のほとんどを完全に所有していましたが、貧しかったです。しかし、土地を耕作できるなら、貧しいということはそれほど大きな意味を持つ必要はありません。

私の祖母地元学校事務員として働いており、父は製造業で良い福利厚生を受けていました。外食するのは特別ときだけで、マクドナルド誕生日しか行かなかったのです。彼らは 1 エーカー菜園と数頭の牛を飼っていて、毎年夏の終わりには果物野菜缶詰にし、作業場の古いチェスト冷凍庫で刻んだオクラブルーベリー、野生のイノシシの肉、鹿肉冷凍していました。

Despite never having been on a plane and seldom ever having been outside of Arkansas, they managed to put both my mom and aunt through college and graduate school without requiring them to incur even a dime of debt. This was the 1990s.

Then at the age of 57, my papa and 1,000 of his coworkers were thrown away like a piece of trash after giving that company decades of their lives. And what were they told to do? What was their consolation prize?

Learn. To. Code.

My papa and nana were born in the 1950s in a place that was quite literally the Wild West just mere decades before their birth.

Growing up, neither of them had running water—they drew water from a well, washed up in a tin tub heated over a fire, and went to the restroom in an outhouse. They were both educated in a one-room schoolhouse and both came from families that relied on their farm’s livestock to feed themselves. People like my grandparents built this nation. They built this nation for their children.

But because the thing they sought to build wasn’t a stock portfolio or real estate portfolio, the preservation of their homes and communities was not something that Wall Street nor Washington saw as having enough value to be anything more than apathetic about blowing up.

飛行機に乗ったことも、アーカンソー州から外に出たことがほとんどなかったにもかかわらず、両親は母と叔母を一銭も借金せずに大学大学院に通わせることができました。1990年代のことでした。

そして、父と1,000人の同僚は、57歳で会社に何十年も捧げた後、ゴミのように捨てられました。そして、彼らに何をするように言われたのでしょうか? 慰めの賞品は何だったのでしょうか?

Learn. To. Code

私のパパとおばあちゃんは、1950年代に生まれましたが、彼らが生まれるほんの数十年前までは、そこはまさに「ワイルドウェスト」でした。

両親ともに水道のない環境で育ったため、井戸から水を汲み、火で沸かしたブリキの桶で体を洗い、離れのトイレで用を足した。二人とも一教室の学校教育を受け、農場家畜に頼って食料を得ていた家庭の出身だ。祖父母のような人々がこの国を築いた。子供たちのためにこの国を築いたのだ。

しかし、彼らが構築しようとしていたのは株式ポートフォリオでも不動産ポートフォリオでもなかったため、彼らの家やコミュニティ保全は、ウォール街ワシントンにとって、破壊することに無関心以上の価値があるとは考えられなかった。

https://x.com/FedPoasting/status/1908020397842509905

川崎宗則MLBムーニーと呼ばれていたらしいが

Moonyって統一教会信者意味する言葉なんだな。

他にもLittle Papiって呼び名があったらしいけど、嫌われたの?

2025-02-24

海外燃え日本ロリエロ漫画についた万バズコメント

万以上のツイート雑に貼る。

海外の人は日本オタクの味方的な勘違いしてるオタクをよく見るが、海外から見た日本児童ポルノが、どれだけ日本へのヘイトを煽るか自覚して隠れて欲しい。

万以下になると焼き払うために原爆必要とか、もう一度洪水にのまれろとか、本当に酷いからね。

日本食べ物景観に興味あるけどロリコンが酷いとか、少子化理由がわかった、誰が日本子供を連れていきたがるのかとか、国益も損なう勢いだから

あと日本オタク外国人には何言われてもだんまりで、日本人にだけ噛み付きまくってるのもダサすぎる。

海外の反応

72K likes on a rape confession. We should bring back skinning people alive.

レイブ告白に7万2000件のいいね。生きたまま皮をはぐ刑を復活させるべきだ。

19.7万いいね

https://x.com/Krymefull/status/1893552122995613777?t=agiPsDLO8K50M9XWP5_PUg&s=19

Nahhh this ain't lolicon

This is a child rapist's documentary of them raping a child 💀

いやこれはロリコンじゃない。これは児童強姦犯が子供強姦するドキュメンタリーです💀

9.2万いいね

https://x.com/monjirorawstat/status/1893509615826137483?t=2fHTjfFtoBis4tRrk-WGuA&s=19

"committed a sin"

you groomed a minor and raped her you fucking subhuman trash.

「罪を犯した」未成年者を誘惑してレイプしたんだな、このクソ人間以下のゴミ

6.3万いいね

Most pedophiles: Being secret about their activities.

Jap pedophiles:

小児性愛者の大半は、自分の行動を秘密にしている。

日本小児性愛

https://x.com/Popyo9Bye/status/1893510643690405938?t=9x9ulrn29ShNgfMfLB2Zqg&s=19

5.2万いいね

https://x.com/DatChaosGuy/status/1893750264403771859?t=DSwdqYKwofK1JiB47ry-ZA&s=19

70k+ likes on a comic fantasizing about little girls…

さな女の子空想する漫画に7万件以上のいいね

4.9万いいね

Paedophilia in Japan is so normalized, no wonder lolicons and shotacons are brave and say it's their culture. Disgusting

日本では小児性愛が当たり前になっているので、ロリコンショタコンが勇敢にもそれを自分達の文化だというのも不思議ではない。気持ち悪い

3.9万いいね

https://x.com/destoyeskey/status/1893556994960740832?t=uwEd3g0zhMglCpFsEzELDw&s=19

is Japan like the wakanda for pedophiles

日本小児性愛者にとってのワカンダのようなものだろうか

3.2万いいね

https://x.com/mainmajin/status/1893743553890697286?t=Chbu1YijfHPo-WoQll2wWg&s=19

Japan is really just a safe haven for pedophiles

日本はまさに小児性愛者の避難所だ。

1.4万いいね

日本人の反応

こんなのにファボつけてる人が7万人

7万人だよ?日本マジでやばいでしょ、ゾッとするほど性犯罪者に寄り添う思考の人が多い。

通報した

3.9万いいね

https://x.com/amaterasu_solar/status/1893149329424044303?t=lVdQtwUDD2niddbfbEfzBw&s=19

To those outside of Japan.

I'm a Japanese woman.

In Japan, there are many pedophile men. And there are a lot of pedophile manga, anime, and adult videos.

Because of that, minors and women are consumed sexually on a daily basis in this country. It makes me want to die.

26.4万いいね

https://x.com/ggbym_d/status/1893541663064179021?t=OtcIQj6YxvGl5lvb4_vNuA&s=19

普通に児童を襲ってレイプする性犯罪を娯楽として載せちゃう国。そしてそれが7万いいねもつく。終わってんな。

児童ポルノ児童性的搾取正常化通報をお願いします)

2万いいね

2025-02-18

anond:20250216230813

GARNET CROW

ただし当たり外れがでかい

Mysterious eyes, In little time, prayが好き

あとは「私は風」のカバーオススメ

2025-02-07

私の好きなプロンプト

gangbang rape creampie little girl nude nipples boobs

Best Dating App Opening Lines

Let’s face it: starting a conversation on a dating app can feel terrifying. You see someone you’re interested in, you type out a message, and then… you delete it. “Is this too boring?” “Will they even respond?” “What if I sound awkward?”

We’ve all been there. That first message can make or break your chances of connecting with someone amazing. But here’s the good news: you don’t have to overthink it. With the right opening line, you can spark a conversation that feels natural, fun, and meaningful.

At MixerDates, we believe that every great connection starts with a great conversation. That’s why we’ve put together this guide to help you craft the best dating app opening lines—ones that stand out, show your personality, and lead to real connections. Ready to ditch the “hey” and start making an impact? Let’s dive in!

[:contents]


Why Your First Message Matters

Before we get into the best opening lines, let’s talk about why your first message is so important.

1. First Impressions Count

Your opening line is your chance to make a great first impression. It’s the gateway to a conversation that could lead to something special. A thoughtful, creative message shows that you’re genuinely interested—not just swiping mindlessly.

2. It Sets the Tone

Your first message sets the tone for the entire conversation. A boring or generic opener might lead to a dull chat, while a fun or intriguing one can spark excitement and curiosity.

3. It Shows Effort

Let’s be real: everyone loves feeling special. When you put effort into your opening line, it shows that you care enough to stand out. And on MixerDates, where we value authenticity and positivity, that effort goes a long way.


The Best Dating App Opening Lines (And Why They Work)

Now, let’s get to the good stuff—the best dating app opening lines that actually work. These are divided into categories to suit different personalities and situations.

1. The Playful Opener

2. The Compliment Opener
  • Why It Works: Compliments make people feel good, especially when they’re specific and genuine.

3. The Question Opener

4. The Shared Interest Opener

5. The Bold Opener
  • Why It Works: Confidence is attractive, and this type of opener shows you’re not afraid to be bold.

6. The Quirky Opener
  • Example: “Quick: pineapple on pizza—yes or no? This could determine our compatibility.”
  • Why It Works: Quirky openers are memorable and show off your unique personality.


Tips for Crafting Your Own Opening Lines

While the examples above are great starting points, the best opening lines are the ones that feel authentic to you. Here are some tips to help you craft your own:

1. Personalize It

Reference something from their profile—a photo, a hobby, or a shared interest. It shows you’re paying attention and not just copying and pasting.

2. Keep It Light and Fun

Avoid heavy or overly serious topics right off the bat. Keep the tone light and playful to make the conversation enjoyable.

3. Be Yourself

Don’t try to be someone you’re not. If you’re naturally funny, lean into that. If you’re more thoughtful, go for a sincere compliment or question.

4. Avoid Clichés

“Hey” or “What’s up?” might be easy, but they’re also forgettable. Put in a little effort to stand out.

5. End with a Question

This gives the other person an easy way to respond and keeps the conversation flowing.


Why MixerDates is the Perfect Place to Practice Your Opening Lines

At MixerDates, we’re all about creating a positive, inclusive space where you can feel comfortable being yourself. Here’s why our platform is the best place to put these opening lines into practice:

1. A Welcoming Community

We welcome everyone, no matter who you are or who you love. Our platform is designed to be a safe space where you can connect with like-minded people.

2. Profiles That Spark Conversations

Our users create detailed profiles that make it easy to find shared interests and craft personalized opening lines.

3. A Focus on Authenticity

We encourage our community to be genuine and kind, so you can feel confident starting conversations without fear of judgment or rejection.

4. Success Stories

Don’t just take our word for ithere’s what one of our users had to say:

I met my partner on MixerDates, and it all started with a simple message about our shared love for travel. The conversation flowed naturally, and the rest is history. I’m so grateful for this platform!”


Key Elements to Finding a Mutual Connection

While a great opening line can spark a conversation, building a real connection takes more than just a clever message. Here are the key elements to look for when seeking a meaningful connection:

1. Shared Values and Goals

A strong connection starts with alignment on the things that matter most. Do you share similar values, life goals, or visions for the future?

2. Emotional Availability

Look for someone who is willing to share their thoughts, feelings, and vulnerabilities—and who encourages you to do the same.

3. Mutual Effort

Healthy relationships are a two-way street. Both people should be putting in effort to communicate, plan dates, and support each other.

4. Respect for Individuality

A true connection allows both people to be themselves without judgment. Look for someone who celebrates your uniqueness and encourages you to pursue your passions.

5. Open and Honest Communication

Communication is the foundation of any strong relationship. A mutual connection thrives on honesty, transparency, and the ability to resolve conflicts in a healthy way.


At MixerDates, we’re here to help you find these key elements in a partner. Our platform is designed to connect you with people who share your values and are looking for the same things you are. Starting a conversation on a dating app doesn’t have to be stressful. With the right opening line, you can spark a connection that feels natural, fun, and meaningful. And at MixerDates, we’re here to help you every step of the way.

So, what are you waiting for? Craft that perfect opening line, join MixerDates, and start connecting with people who value authenticity and positivity. Your perfect match is out there—and they’re just one message away.

How to Flirt on a First Date Without Feeling Awkward

First dates can be exciting and nerve-wracking all at once. You’re meeting someone new, learning about their interests, and trying to figure out if there’s chemistry between you. And then there’s flirting, that delicate dance of showing someone you’re interested without being too forward or awkward.

Flirting doesn’t have to be a high-pressure situation. In fact, it can be the most fun part of getting to know someone. Whether you're meeting someone on MixerDates or any other platform, the most important thing is to be genuine, stay calm, and let the connection develop naturally.

If you’ve ever found yourself wondering how to flirt on a first date without feeling uncomfortable, you’re not alone. Everyone has their awkward moments, but the more you understand the art of flirting, the easier it becomes. In this article, we’ll break down how to flirt in a way that feels natural, exciting, and authentic to who you are. So, let's dive in and learn how to make the most of your first date experience—without overthinking it.


Confidence: The Foundation of Flirting

When it comes to flirting, confidence is key. But what does it really mean to be confident on a first date? Confidence doesn’t mean you need to be perfect, or even outgoing—it simply means being comfortable in your own skin and showing up as your authentic self.

Have you ever noticed how people are drawn to those who radiate self-assurance? It’s not about bragging or dominating the conversationit’s about presenting yourself with ease. If you feel good about yourself, it will naturally show. A great smile, good posture, and eye contact can go a long way in making a good first impression.

For instance, think about the last time someone walked into a room and immediately caught your attention—not because they were the most attractive person in the room, but because of their energy. They were confident, they were present, and they made you feel at ease. That’s the kind of confidence you want to project on your date.

When you're confident, you're not worried about saying the perfect thing. Instead, you focus on enjoying the moment, making the other person feel comfortable, and letting the connection happen naturally. That’s the magic of confidence—it allows you to be present, fun, and, most importantly, yourself.

The Power of Subtlety

Let’s face it—no one wants to feel like they’re being “worked” or put through a game. That’s why subtlety is such a powerful tool when it comes to flirting. It's all about showing interest without being over-the-top or too obvious.

Flirting doesn’t always mean complimenting someone non-stop or using cheesy pickup lines. In fact, the most successful flirting is the kind that happens behind the scenes—subtle, playful, and lighthearted. Think about the little moments, like a teasing comment about how they always order the same thing at a restaurant or the way you laugh at a silly joke they make.

The key is to find a balance. A simple smile or a playful comment can convey interest without being too much. For example, if your date tells you they love hiking but they tend to get lost easily, you could say something like, “So, you’re telling me you need a personal guide? I could get behind that!” It’s lighthearted, humorous, and most importantly, it keeps the conversation fun without putting too much pressure on the situation.

By keeping it subtle, you allow your date to feel at ease. It takes the pressure off them to be perfect and allows both of you to enjoy the interaction more naturally. Flirting doesn’t need to be a performance—it’s about creating an environment where both of you can feel comfortable and authentic.


Active Listening: A Key to Connection

Now, let’s talk about something incredibly important in the flirting game: active listening. When we’re on a date, we often get caught up in thinking about what to say next, how we’re coming across, or if we’re being interesting enough. But the best way to make an impression? Truly listening to your date.

Active listening means you’re fully engaged in the conversation, giving your date your full attention and responding thoughtfully. It’s about showing that you care about what they’re saying and that you’re genuinely interested in getting to know them better. When you listen actively, you’re also giving them space to open up, and that can create an immediate connection.

For example, if your date mentions they recently traveled to Japan, instead of simply saying, “That’s cool!” you could follow up with something like, “What was the most memorable experience you had there?” This shows that you’re not just hearing their words but are genuinely curious and invested in their experiences. It’s a great way to build rapport and let them know you’re not just there to impress them—you’re there to connect.

Body Language: Saying More Than Words Can

While your words are important, body language often speaks louder than anything you can say. Whether you realize it or not, your body is constantly communicating how you feel. How you sit, stand, and move tells your date whether you’re relaxed, engaged, or distracted.

Small gestures can go a long way in flirting. A light touch on the arm, a subtle lean in when they’re speaking, or maintaining good eye contact—all these body language cues help signal your interest. And the great thing is, when done naturally, these cues can be just as effective as words.

For example, if you’re sitting at a café on your date and you lean in slightly when they’re sharing a funny story, you’re not just showing that you’re interested—you’re inviting them into your space. It’s an invitation to connect further. And when they respond by leaning in too, that’s when the magic happens—the unspoken connection that tells you both that there’s potential for more.

Flirting through body language doesn’t mean making grand gestures or being overly touchy. It’s about being present and showing that you’re engaged with your date in a subtle, but meaningful way.


Have Fun: Don’t Take It Too Seriously

It’s easy to get caught up in overthinking how to flirt or trying to figure out if your date is into you. But here’s a secret—when you let go of the pressure and allow yourself to have fun, everything flows much more naturally. Flirting on a first date doesn’t need to feel like a test or an assignment. It’s supposed to be a fun, lighthearted experience that sets the stage for more great dates ahead.

When was the last time you had a genuinely fun date? Was it when you were trying too hard to impress, or when you were both laughing, chatting, and enjoying each other's company? Flirting becomes effortless when you're present, enjoying the moment, and letting the connection grow naturally.

Sometimes, it's the small momentslike sharing a laugh or swapping embarrassing stories—that make a first date truly special. When you focus on having fun, you create an environment where both of you can relax, flirt, and let the chemistry grow. That’s the secret to a great date.

Flirting with the Right Match: How MixerDates Makes It Easier

One of the best things about using a platform like MixerDates is that it takes the guesswork out of the equation. By connecting with someone who already shares your interests and values, you’ve got a head start on making a real connection. No more swiping through countless profiles hoping for a sparkon MixerDates, you already know there’s something in common.

When you’re already on the same page with your date, flirting comes more easily. There’s less of that awkward, “Are we even on the same wavelength?” feeling, and more of the fun, “Wow, we really click!” vibe. Whether you’re talking about favorite hobbies, movies, or life goals, the conversation flows naturally, making the flirting feel effortless.

If you're looking for a place to meet like-minded people and build genuine connections, MixerDates is the perfect platform. It's a great place to find someone who appreciates you for who you are and who you can naturally flirt with, without the stress.

Ready to Take the Leap?

Flirting on a first date is all about confidence, connection, and fun. When you let go of the pressure and focus on enjoying the experience, the chemistry will naturally follow. Remember, the best way to flirt is by being yourself—let your personality shine through, listen with intention, and embrace the moment.

And if you’re ready to meet someone new, who’s just as interested in making a connection as you are, MixerDates is the perfect place to start. So go ahead, take the leap, and see where it leads. Who knows? Your next great connection might be just a click away.

Sign up for MixerDates today and start your journey to exciting first dates and meaningful connections!

2025-02-02

Chatgptが答えた異星人の存在可能性とのそのロジック

Please consider the histroy of humanity from biological perpsecitve and current known fact in nearby universe, which expo-planet (from the Sol system perspective) is most likely to have civlizaed society? Please add percentage next to it in the chart

ChatGPT

Reasoned about exoplanet civilization likelihoodを28 秒行う

Evaluating planetary prospects

OK, I’m looking at the likelihood of a civilized society on an exoplanet within our Solar System. I’ll consider biological history and current space knowledge, aiming to identify the most promising candidate.

Identifying potential candidates

I'm considering exoplanets like Proxima Centauri b and TRAPPIST-1e, which might suggest they are within or observed from our Solar System.

Assessing potential candidates

I’m evaluating Proxima Centauri b, Barnard's Star, LHS 1140, and TRAPPIST-1, focusing on their habitable zones and available data. The Drake equation might help estimate their civilized society likelihoods.

Identifying promising exoplanets

I’m noting key exoplanets like Proxima Centauri b and TRAPPIST-1, which have Earth-like characteristics and are in habitable zones. This narrows down the potential candidates for advanced civilizations.

Assessing habitable zones

I'm gathering info on planets like Proxima Centauri b and TRAPPIST-1, considering factors like magnetic fields, atmospheres, and proximity to G-type stars for their potential to support advanced civilizations.

Evaluating exoplanet prospects

I'm noting that Proxima Centauri b, despite being close and around a red dwarf star, might support life if it has a magnetic field and atmosphere. This makes me think about its potential.

Charting probabilities

I'm estimating civilization probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e, using speculative percentages based on the Drake equation and the lack of evidence for intelligent life.

Charting speculative odds

I'm crafting a chart with exoplanet names and civilization likelihood percentages, grounded in the long timeline of life's evolution, despite the speculative nature of these figures.

Identifying exoplanet contenders

I’m evaluating exoplanets like Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering their star types and distances, to gauge their potential for supporting advanced civilizations from our solar system's viewpoint.

Weighing proximity and observation

I'm leaning towards Proxima Centauri b due to its closeness and observational potential, despite concerns about its flare star dynamics. TRAPPIST-1 e, f, or g are also worth considering.

Revisiting exoplanet options

I'm focusing on exoplanets like Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, and K2-18b, aiming to chart their likelihood of hosting a civilized society based on current knowledge.

Assessing exoplanet potentials

I'm gathering speculative probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e/f/g, using the Drake equation and current understanding, to better estimate their chances of hosting a civilized society.

Refining speculative probabilities

I’m refining speculative probabilities for exoplanets, including Proxima Centauri b and TRAPPIST-1 e/f/g, to estimate their chances of hosting a civilized society, considering Earth's long biological history.

Refining odds

I'm considering the astronomical timeline for intelligent life on Earth, leading me to assign even lower speculative odds for exoplanets like Proxima Centauri b and TRAPPIST-1 e.

Clarifying speculative nature

I’m crafting a simplified chart with arbitrary percentages, clearly noting the speculative nature and lack of scientific data, while considering the target audience's basic understanding of the topic.

Mapping out speculative odds

I’m charting arbitrary percentages for exoplanets, clarifying their speculative nature, and ensuring the data is accessible for young audiences with minimal scientific detail.

Crafting a chart

I’m creating a markdown table with speculative percentages for the likelihood of civilized life on exoplanets, emphasizing their purely theoretical nature and considering the understanding level of an 8-year-old.

Integrating speculative analysis

I’m mapping out a markdown chart with speculative percentages for the likelihood of a civilized society on exoplanets, mindful of the complexity and simplifying for an 8-year-old's understanding.

Assessing likelihoods

I’m piecing together markdown for exoplanets, noting Proxima Centauri b's reduced civilized life chance due to the red dwarf's activity. This inclusion highlights the speculative nature of the analysis.

Piecing together speculative odds

I’m detailing a markdown chart for audience-friendly exoplanet likelihoods, considering environmental challenges and adding a disclaimer about the speculative nature and lack of evidence.

Piecing together

I’m leaning towards Proxima Centauri b for its proximity and silent star, but I’ll add a speculative chart ranking nearby exoplanets, noting their advanced civilizations' hypothetical likelihood.

Assessing civilization probabilities

I'm emphasizing the slow emergence of intelligent life on Earth, which suggests that the odds of any habitable planet developing a complex civilization might be as low as a few percent.

Below is a very speculative chart thatbased on what we know about Earth’s long, winding path from simple life to a “civilized society” and our limited observations of nearby exoplanets—gives some fun, made‑up percentage chances for a few of our best candidate exoplanets. Remember: Scientists have not yet found any proof of life (let alone advanced civilizations) on any exoplanet. These numbers are just playful estimates to help you think about the ideas!

Speculative Chances of Finding an Advanced Civilization on Nearby Exoplanets

Exoplanet Estimated Likelihood of a Civilized Society

Proxima Centauri b ~2%

TRAPPIST-1 e ~1.5%

TRAPPIST-1 f ~1%

TRAPPIST-1 g ~1%

LHS 1140 b ~0.5%

How Did We (Very Roughly) Guess These Numbers?

Earth’s Example:

On Earth, life began as simple single‑celled organisms and took billions of years to evolve into a species that built complex societies. This long journey suggests that—even if a planet is in the “habitable zone” (where liquid water could exist)—developing an advanced, civilized society might be rare.

Nearby Exoplanets:

Proxima Centauri b:

This is the closest exoplanet to us. Even though its star (Proxima Centauri) is a red dwarf that sometimes sends out strong flares (which might harm life), its closeness makes it one of our most interesting candidates. That’s why we give it a slightly higher guess (~2%).

TRAPPIST-1 System (e, f, g):

These planets are part of a group orbiting a very cool star. Their environments might be challenging (for example, they could be tidally locked, meaning one side always faces the star), so the chance of a complex, advanced civilization might be a bit lower.

LHS 1140 b:

This planet is promising in some ways but is a little farther away and around a dimmer star, so our playful estimate is even lower.

A Final Note

All of these percentages are extremely rough guesses based on what little we understand about the conditions for life and intelligence. Scientists use ideas like the Drake Equation to think about these chances—but until we have concrete evidence, these numbers remain just for fun and imagination.

Enjoy exploring these ideas—and remember, space is full of mysteries waiting to be discovered!




あなた:

Please examine the Drake Equation itself and see if this euqation is acculate or more opition in the equation you will use

ChatGPT

Reasoned about the Drake Equationを6 秒行う

re-examining the Drake Equation

evaluating the Drake Equation's value

Clarifying the Drake Equation

OK, let me see. The Drake Equation isn't a precise formula; it's more of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrial civilizations.

Assessing the Drake Equation

Thinking through the Drake Equation, I’m evaluating its conceptual nature, its uncertain parameters, and its criticism to conclude on its reliability as an accurate predictive model.

Understanding the Drake Equation

I’m mapping out the Drake Equation as a conceptual guide, detailing its parameters, which are often based on estimates or opinions, to evaluate its reliability for predicting extraterrestrial civilizations.

The Drake Equation is a famous formula that was created to help scientists think about the many factors involved in estimating the number of detectable extraterrestrial civilizations in our galaxy. However, when we look at the equation closely, we see that it is more of a conceptual framework or heuristic tool than a precise, predictive formula. Let’s break down why:

The Drake Equation

The equation is usually written as:

𝑁

=

𝑅

×

𝑓

𝑝

×

𝑛

𝑒

×

𝑓

𝑙

×

𝑓

𝑖

×

𝑓

𝑐

×

𝐿

N=R

×f

p

×n

e

×f

l

×f

i

×f

c

×L

Where:

𝑅

R

: The average rate of star formation per year in our galaxy.

𝑓

𝑝

f

p

: The fraction of those stars that have planetary systems.

𝑛

𝑒

n

e

: The average number of planets that could potentially support life per star with planets.

𝑓

𝑙

f

l

: The fraction of those planets where life actually develops.

𝑓

𝑖

f

i

: The fraction of planets with life where intelligent life evolves.

𝑓

𝑐

f

c

: The fraction of civilizations that develop technology that releases detectable signals into space.

𝐿

L: The length of time such civilizations release detectable signals.

Why the Drake Equation Is More of a Guideline Than a Precise Formula

Uncertain Inputs:

Well-Known Parameters:

Some factors, like

𝑅

R

(star formation rate) and

𝑓

𝑝

f

p

(fraction of stars with planets), have become better known through modern astronomy.

Highly Speculative Factors:

The parameters related to the development of life and intelligence

𝑓

𝑙

f

l

,

𝑓

𝑖

f

i

,

𝑓

𝑐

f

c

, and

𝐿

L—are based on very limited data. For example, Earth is the only planet we know where life has developed, so we have no way to compare or derive a statistically robust estimate for these factors. This means that the values chosen for these parameters are largely subjective estimates or educated guesses.

Wide Ranges of Possible Values:

Because many of these factors are not well-constrained, if you change one of the more uncertain parameters even slightly, the final estimate for

𝑁

N (the number of civilizations) can vary by many orders of magnitude. This wide range shows that the equation can lead to very different outcomes based on personal or theoretical assumptions.

Heuristic, Not Predictive:

The Drake Equation was never meant to provide a precise answer. Instead, it serves as a way to organize our thinking about what conditions might be necessary for the development of extraterrestrial civilizations. It encourages discussion about the relative importance of different factors and highlights where our scientific knowledge is limited.

Is the Drake Equation Accurate or More Opinion-Based?

Accurate?

In the sense of being a strict mathematical model with well-defined inputs and predictable outputs, the Drake Equation is not accurate. Its accuracy is limited by the extreme uncertainties in several of its key parameters.

Opinion-Based?

Many of the terms in the equation, especially those concerning the evolution of life and intelligence, are based on opinion, interpretation, and the single example of Earth. Therefore, while the structure of the equation is logical, the numbers you put into it (and hence the final result) are often more reflective of our current opinions and assumptions than of robust empirical data.

Conclusion

The Drake Equation is a valuable tool for framing the question of extraterrestrial life. It helps scientists and enthusiasts break down a complex problem into smaller, more manageable questions. However, because several of its factors are highly uncertain and subject to personal interpretation, it is more of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of the number of extraterrestrial civilizations.

In summary, while the Drake Equation is useful for thinking about the various factors that might lead to the emergence of a civilization, its outputs should be taken as highly speculative estimates rather than precise measurements.




あなた:

Please also consider the possiblities of non-human intelligent emrgencing from the long history of Sol system and nearby planets and see if there is any possiblites that in one time intelligent life emerged in nearby planets and see this to the equation

ChatGPT

Reasoned about non-human intelligence and the Drake Equationを19 秒行う

Evaluating non-human intelligence

I'm thinking about the potential for non-human intelligent life forms in the Sol system and neighboring planets, and how this might factor into the equation.

Piecing together possibilities

I'm thinking about how to integrate the emergence of non-human intelligent life, possibly on Mars or Europa, into the Drake Equation for the Sol system and neighboring planets.

Reflecting on potential

It's interesting to think about the hypothesis of intelligent life emerging on Mars or Venus, though Earth remains the only known life-supporting planet in the solar system.

Considering other realms

I'm examining if intelligent life could have emerged on planets like Mars, Venus, or Europa, and how this possibility aligns with the predictions of the Drake Equation.

Analyzing parallel evolution

Hmm, I’m thinking about how non-human intelligent life on Mars or Venus could intersect with the assumptions of the Drake Equation, which seems to focus solely on Earth-based evolution.

Evaluating life exploration

I’m piecing together the hypothesis of non-human, advanced, intelligent life in the solar system. Mars, Venus, and Titan present challenges, but Europa and Enceladus might harbor microbial life.

Adapting the equ Permalink | 記事への反応(0) | 21:12

Chatgptが答えた異星人の存在可能性とのそのロジック

Please consider the histroy of humanity from biological perpsecitve and current known fact in nearby universe, which expo-planet (from the Sol system perspective) is most likely to have civlizaed society? Please add percentage next to it in the chart

ChatGPT

Reasoned about exoplanet civilization likelihoodを28 秒行う

Evaluating planetary prospects

OK, I’m looking at the likelihood of a civilized society on an exoplanet within our Solar System. I’ll consider biological history and current space knowledge, aiming to identify the most promising candidate.

Identifying potential candidates

I'm considering exoplanets like Proxima Centauri b and TRAPPIST-1e, which might suggest they are within or observed from our Solar System.

Assessing potential candidates

I’m evaluating Proxima Centauri b, Barnard's Star, LHS 1140, and TRAPPIST-1, focusing on their habitable zones and available data. The Drake equation might help estimate their civilized society likelihoods.

Identifying promising exoplanets

I’m noting key exoplanets like Proxima Centauri b and TRAPPIST-1, which have Earth-like characteristics and are in habitable zones. This narrows down the potential candidates for advanced civilizations.

Assessing habitable zones

I'm gathering info on planets like Proxima Centauri b and TRAPPIST-1, considering factors like magnetic fields, atmospheres, and proximity to G-type stars for their potential to support advanced civilizations.

Evaluating exoplanet prospects

I'm noting that Proxima Centauri b, despite being close and around a red dwarf star, might support life if it has a magnetic field and atmosphere. This makes me think about its potential.

Charting probabilities

I'm estimating civilization probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e, using speculative percentages based on the Drake equation and the lack of evidence for intelligent life.

Charting speculative odds

I'm crafting a chart with exoplanet names and civilization likelihood percentages, grounded in the long timeline of life's evolution, despite the speculative nature of these figures.

Identifying exoplanet contenders

I’m evaluating exoplanets like Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering their star types and distances, to gauge their potential for supporting advanced civilizations from our solar system's viewpoint.

Weighing proximity and observation

I'm leaning towards Proxima Centauri b due to its closeness and observational potential, despite concerns about its flare star dynamics. TRAPPIST-1 e, f, or g are also worth considering.

Revisiting exoplanet options

I'm focusing on exoplanets like Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, and K2-18b, aiming to chart their likelihood of hosting a civilized society based on current knowledge.

Assessing exoplanet potentials

I'm gathering speculative probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e/f/g, using the Drake equation and current understanding, to better estimate their chances of hosting a civilized society.

Refining speculative probabilities

I’m refining speculative probabilities for exoplanets, including Proxima Centauri b and TRAPPIST-1 e/f/g, to estimate their chances of hosting a civilized society, considering Earth's long biological history.

Refining odds

I'm considering the astronomical timeline for intelligent life on Earth, leading me to assign even lower speculative odds for exoplanets like Proxima Centauri b and TRAPPIST-1 e.

Clarifying speculative nature

I’m crafting a simplified chart with arbitrary percentages, clearly noting the speculative nature and lack of scientific data, while considering the target audience's basic understanding of the topic.

Mapping out speculative odds

I’m charting arbitrary percentages for exoplanets, clarifying their speculative nature, and ensuring the data is accessible for young audiences with minimal scientific detail.

Crafting a chart

I’m creating a markdown table with speculative percentages for the likelihood of civilized life on exoplanets, emphasizing their purely theoretical nature and considering the understanding level of an 8-year-old.

Integrating speculative analysis

I’m mapping out a markdown chart with speculative percentages for the likelihood of a civilized society on exoplanets, mindful of the complexity and simplifying for an 8-year-old's understanding.

Assessing likelihoods

I’m piecing together markdown for exoplanets, noting Proxima Centauri b's reduced civilized life chance due to the red dwarf's activity. This inclusion highlights the speculative nature of the analysis.

Piecing together speculative odds

I’m detailing a markdown chart for audience-friendly exoplanet likelihoods, considering environmental challenges and adding a disclaimer about the speculative nature and lack of evidence.

Piecing together

I’m leaning towards Proxima Centauri b for its proximity and silent star, but I’ll add a speculative chart ranking nearby exoplanets, noting their advanced civilizations' hypothetical likelihood.

Assessing civilization probabilities

I'm emphasizing the slow emergence of intelligent life on Earth, which suggests that the odds of any habitable planet developing a complex civilization might be as low as a few percent.

Below is a very speculative chart thatbased on what we know about Earth’s long, winding path from simple life to a “civilized society” and our limited observations of nearby exoplanets—gives some fun, made‑up percentage chances for a few of our best candidate exoplanets. Remember: Scientists have not yet found any proof of life (let alone advanced civilizations) on any exoplanet. These numbers are just playful estimates to help you think about the ideas!

Speculative Chances of Finding an Advanced Civilization on Nearby Exoplanets

Exoplanet Estimated Likelihood of a Civilized Society

Proxima Centauri b ~2%

TRAPPIST-1 e ~1.5%

TRAPPIST-1 f ~1%

TRAPPIST-1 g ~1%

LHS 1140 b ~0.5%

How Did We (Very Roughly) Guess These Numbers?

Earth’s Example:

On Earth, life began as simple single‑celled organisms and took billions of years to evolve into a species that built complex societies. This long journey suggests that—even if a planet is in the “habitable zone” (where liquid water could exist)—developing an advanced, civilized society might be rare.

Nearby Exoplanets:

Proxima Centauri b:

This is the closest exoplanet to us. Even though its star (Proxima Centauri) is a red dwarf that sometimes sends out strong flares (which might harm life), its closeness makes it one of our most interesting candidates. That’s why we give it a slightly higher guess (~2%).

TRAPPIST-1 System (e, f, g):

These planets are part of a group orbiting a very cool star. Their environments might be challenging (for example, they could be tidally locked, meaning one side always faces the star), so the chance of a complex, advanced civilization might be a bit lower.

LHS 1140 b:

This planet is promising in some ways but is a little farther away and around a dimmer star, so our playful estimate is even lower.

A Final Note

All of these percentages are extremely rough guesses based on what little we understand about the conditions for life and intelligence. Scientists use ideas like the Drake Equation to think about these chances—but until we have concrete evidence, these numbers remain just for fun and imagination.

Enjoy exploring these ideas—and remember, space is full of mysteries waiting to be discovered!




あなた:

Please examine the Drake Equation itself and see if this euqation is acculate or more opition in the equation you will use

ChatGPT

Reasoned about the Drake Equationを6 秒行う

re-examining the Drake Equation

evaluating the Drake Equation's value

Clarifying the Drake Equation

OK, let me see. The Drake Equation isn't a precise formula; it's more of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrial civilizations.

Assessing the Drake Equation

Thinking through the Drake Equation, I’m evaluating its conceptual nature, its uncertain parameters, and its criticism to conclude on its reliability as an accurate predictive model.

Understanding the Drake Equation

I’m mapping out the Drake Equation as a conceptual guide, detailing its parameters, which are often based on estimates or opinions, to evaluate its reliability for predicting extraterrestrial civilizations.

The Drake Equation is a famous formula that was created to help scientists think about the many factors involved in estimating the number of detectable extraterrestrial civilizations in our galaxy. However, when we look at the equation closely, we see that it is more of a conceptual framework or heuristic tool than a precise, predictive formula. Let’s break down why:

The Drake Equation

The equation is usually written as:

𝑁

=

𝑅

×

𝑓

𝑝

×

𝑛

𝑒

×

𝑓

𝑙

×

𝑓

𝑖

×

𝑓

𝑐

×

𝐿

N=R

×f

p

×n

e

×f

l

×f

i

×f

c

×L

Where:

𝑅

R

: The average rate of star formation per year in our galaxy.

𝑓

𝑝

f

p

: The fraction of those stars that have planetary systems.

𝑛

𝑒

n

e

: The average number of planets that could potentially support life per star with planets.

𝑓

𝑙

f

l

: The fraction of those planets where life actually develops.

𝑓

𝑖

f

i

: The fraction of planets with life where intelligent life evolves.

𝑓

𝑐

f

c

: The fraction of civilizations that develop technology that releases detectable signals into space.

𝐿

L: The length of time such civilizations release detectable signals.

Why the Drake Equation Is More of a Guideline Than a Precise Formula

Uncertain Inputs:

Well-Known Parameters:

Some factors, like

𝑅

R

(star formation rate) and

𝑓

𝑝

f

p

(fraction of stars with planets), have become better known through modern astronomy.

Highly Speculative Factors:

The parameters related to the development of life and intelligence

𝑓

𝑙

f

l

,

𝑓

𝑖

f

i

,

𝑓

𝑐

f

c

, and

𝐿

L—are based on very limited data. For example, Earth is the only planet we know where life has developed, so we have no way to compare or derive a statistically robust estimate for these factors. This means that the values chosen for these parameters are largely subjective estimates or educated guesses.

Wide Ranges of Possible Values:

Because many of these factors are not well-constrained, if you change one of the more uncertain parameters even slightly, the final estimate for

𝑁

N (the number of civilizations) can vary by many orders of magnitude. This wide range shows that the equation can lead to very different outcomes based on personal or theoretical assumptions.

Heuristic, Not Predictive:

The Drake Equation was never meant to provide a precise answer. Instead, it serves as a way to organize our thinking about what conditions might be necessary for the development of extraterrestrial civilizations. It encourages discussion about the relative importance of different factors and highlights where our scientific knowledge is limited.

Is the Drake Equation Accurate or More Opinion-Based?

Accurate?

In the sense of being a strict mathematical model with well-defined inputs and predictable outputs, the Drake Equation is not accurate. Its accuracy is limited by the extreme uncertainties in several of its key parameters.

Opinion-Based?

Many of the terms in the equation, especially those concerning the evolution of life and intelligence, are based on opinion, interpretation, and the single example of Earth. Therefore, while the structure of the equation is logical, the numbers you put into it (and hence the final result) are often more reflective of our current opinions and assumptions than of robust empirical data.

Conclusion

The Drake Equation is a valuable tool for framing the question of extraterrestrial life. It helps scientists and enthusiasts break down a complex problem into smaller, more manageable questions. However, because several of its factors are highly uncertain and subject to personal interpretation, it is more of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of the number of extraterrestrial civilizations.

In summary, while the Drake Equation is useful for thinking about the various factors that might lead to the emergence of a civilization, its outputs should be taken as highly speculative estimates rather than precise measurements.




あなた:

Please also consider the possiblities of non-human intelligent emrgencing from the long history of Sol system and nearby planets and see if there is any possiblites that in one time intelligent life emerged in nearby planets and see this to the equation

ChatGPT

Reasoned about non-human intelligence and the Drake Equationを19 秒行う

Evaluating non-human intelligence

I'm thinking about the potential for non-human intelligent life forms in the Sol system and neighboring planets, and how this might factor into the equation.

Piecing together possibilities

I'm thinking about how to integrate the emergence of non-human intelligent life, possibly on Mars or Europa, into the Drake Equation for the Sol system and neighboring planets.

Reflecting on potential

It's interesting to think about the hypothesis of intelligent life emerging on Mars or Venus, though Earth remains the only known life-supporting planet in the solar system.

Considering other realms

I'm examining if intelligent life could have emerged on planets like Mars, Venus, or Europa, and how this possibility aligns with the predictions of the Drake Equation.

Analyzing parallel evolution

Hmm, I’m thinking about how non-human intelligent life on Mars or Venus could intersect with the assumptions of the Drake Equation, which seems to focus solely on Earth-based evolution.

Evaluating life exploration

I’m piecing together the hypothesis of non-human, advanced, intelligent life in the solar system. Mars, Venus, and Titan present challenges, but Europa and Enceladus might harbor microbial life.

Adapting the equ Permalink | 記事への反応(0) | 21:12

2025-01-13

ハリウッド9.11同時多発テロを境に変節したと思っている

anond:20250112122222

興行収入の話で、ハリウッドの大きな節目は9.11だったと思っていて、ちょっと確認してみた。
当時の印象だと、事件の直後は様々な映画の公開が延期されたりキャンセルされたりして、その後数年は戦争アクション物に偏重し、結果としてハリウッド映画定番ジャンル一角だったラブロマンスコメディ映画が激減していったというイメージ
かにも大作指向のような業界動向や様々な社会情勢も影響していたとは思うけど、やはり9.11が一つのターニングポイントだったと思う。日本での洋画ヒットが減っていった遠因のひとつもこのあたりにあるのではないか?

以下のリストはChatGPT調べ。

以下のリストは、主に Box Office Mojo 等のデータ(全米興行収入・未調整値)をもとにした、

アメリカ北米国内での年間興行収入ランキングトップ20

を「1995年2004年」の10年分まとめたものです。金額は概算の百万ドル($M)表記です。

当時の再上映や、ごく短期間の拡大公開による微調整で順位前後する場合もあるため、参考値としてご覧ください。

1995年

  1. トイ・ストーリー (Toy Story) – $191.8M
  2. バットマン フォーエヴァー (Batman Forever) – $184.0M
  3. アポロ13 (Apollo 13) – $172.1M
  4. ポカホンタス (Pocahontas) – $141.6M
  5. エース・ベンチュラ2 (Ace Ventura: When Nature Calls) – $108.4M
  6. 007 ゴールデンアイ (GoldenEye) – $106.4M
  7. ジュマンジ (Jumanji) – $100.5M
  8. キャスパー (Casper) – $100.3M
  9. セブン (Se7en) – $100.1M
  10. ダイ・ハード3 (Die Hard with a Vengeance) – $100.0M
  11. クリムゾン・タイド (Crimson Tide) – $91.4M
  12. ウォーターワールド (Waterworld) – $88.2M
  13. デンジャラスマインド卒業の日まで (Dangerous Minds) – $84.9M
  14. あなたが寝てる間に… (While You Were Sleeping) – $81.1M
  15. コンゴ (Congo) – $81.0M
  16. 花嫁のパパ2 (Father of the Bride Part II) – $76.6M
  17. ブレイブハート (Braveheart) – $75.6M
  18. ゲット・ショーティ (Get Shorty) – $72.1M
  19. ヒート (Heat) – $67.4M
  20. ため息つかせて (Waiting to Exhale) – $67.0M

1996年

  1. インデペンデンス・デイ (Independence Day) – $306.2M
  2. ツイスター (Twister) – $241.7M
  3. ミッション:インポッシブル (Mission: Impossible) – $180.9M
  4. ザ・エージェント (Jerry Maguire) – $153.9M
  5. 乱闘(ランソム) (Ransom) – $136.5M
  6. 101 (ワン・オー・ワン) (101 Dalmatians, 実写版) – $136.2M
  7. ザ・ロック (The Rock) – $134.1M
  8. ナッティプロフェッサー (The Nutty Professor) – $128.8M
  9. バードケージ (The Birdcage) – $124.1M
  10. 評決のとき (A Time to Kill) – $108.7M
  11. ファースト・ワイヴズ・クラブ (The First Wives Club) – $105.5M
  12. フェノミナン (Phenomenon) – $104.6M
  13. イレイザー (Eraser) – $101.2M
  14. ノートルダムの鐘 (The Hunchback of Notre Dame) – $100.1M
  15. マイケル (Michael) – $95.3M
  16. スター・トレック ファーストコンタクト (Star Trek: First Contact) – $92.0M
  17. イングリッシュ・ペイシェント (The English Patient) – $78.7M
  18. ブロークン・アロー (Broken Arrow) – $70.7M
  19. ビーバスバットヘッド Do America (Beavis and Butt-Head Do America) – $63.1M
  20. ケーブルガイ (The Cable Guy) – $60.2M

1997年

  1. タイタニック (Titanic) – $600.7M
  2. メン・イン・ブラック (Men in Black) – $250.7M
  3. ロスト・ワールド/ジュラシック・パーク (The Lost World: Jurassic Park) – $229.1M
  4. ライアー ライアー (Liar Liar) – $181.4M
  5. エアフォース・ワン (Air Force One) – $172.9M
  6. 恋愛小説家 (As Good as It Gets) – $148.5M
  7. グッド・ウィルハンティング (Good Will Hunting) – $138.4M
  8. スター・ウォーズ 特別篇 (Star Wars re-release) – $138.3M
  9. ベスト・フレンズ・ウェディング (My Best Friend’s Wedding) – $127.1M
  10. 007 トゥモロー・ネバー・ダイ (Tomorrow Never Dies) – $125.3M
  11. フェイス/オフ (Face/Off) – $112.3M
  12. バットマン & ロビン (Batman & Robin) – $107.3M
  13. ジャングルジョージ (George of the Jungle) – $105.3M
  14. スクリーム2 (Scream 2) – $101.4M
  15. コン・エアー (Con Air) – $101.1M
  16. コンタクト (Contact) – $100.9M
  17. ヘラクレス (Hercules) – $99.1M
  18. ラバー (Flubber) – $92.9M
  19. ダンテズ・ピーク (Dante’s Peak) – $67.1M
  20. アナコンダ (Anaconda) – $65.9M

1998年

  1. プライベート・ライアン (Saving Private Ryan) – $216.5M
  2. アルマゲドン (Armageddon) – $201.6M
  3. メリーに首ったけ (There’s Something About Mary) – $176.5M
  4. バグズ・ライフ (A Bug’s Life) – $162.8M
  5. ウォーターボーイ (The Waterboy) – $161.5M
  6. ドクタードリトル (Dr. Dolittle) – $144.1M
  7. ラッシュアワー (Rush Hour) – $141.2M
  8. ディープ・インパクト (Deep Impact) – $140.5M
  9. GODZILLA – $136.3M
  10. パッチアダムス (Patch Adams) – $135.0M
  11. リーサル・ウェポン4 (Lethal Weapon 4) – $130.4M
  12. ムーラン (Mulan) – $120.6M
  13. ユー・ガット・メール (You’ve Got Mail) – $115.8M
  14. エネミー・オブ・アメリカ (Enemy of the State) – $111.5M
  15. プリンス・オブ・エジプト (The Prince of Egypt) – $101.4M
  16. 恋におちたシェイクスピア (Shakespeare in Love) – $100.3M
  17. マスク・オブ・ゾロ (The Mask of Zorro) – $94.0M
  18. ステップ・マム (Stepmom) – $91.0M
  19. アンツ (Antz) – $90.8M
  20. X-ファイル (The X-Files) – $83.9M

1999年

  1. スター・ウォーズ エピソード1ファントム・メナス – $474.5M
  2. シックス・センス (The Sixth Sense) – $293.5M
  3. トイ・ストーリー2 (Toy Story 2) – $245.9M
  4. オースティン・パワーズ:デラックス (Austin Powers: The Spy Who Shagged Me) – $206.0M
  5. マトリックス (The Matrix) – $171.4M
  6. ターザン (Tarzan) – $171.1M
  7. ビッグ・ダディ (Big Daddy) – $163.5M
  8. ハムナプトラ/失われた砂漠の都 (The Mummy) – $155.4M
  9. プリティ・ブライド (Runaway Bride) – $152.2M
  10. ブレア・ウィッチ・プロジェクト (The Blair Witch Project) – $140.5M
  11. スチュアート・リトル (Stuart Little) – $140.0M
  12. グリーンマイル (The Green Mile) – $136.8M
  13. アメリカン・ビューティー (American Beauty) – $130.1M
  14. 007 ワールド・イズ・ノット・イナフ (The World Is Not Enough) – $126.9M
  15. ダブル・ジョパディー (Double Jeopardy) – $116.7M
  16. ノッティングヒルの恋人 (Notting Hill) – $116.1M
  17. ワイルド・ワイルド・ウエスト (Wild Wild West) – $113.8M
  18. アナライズ・ミー (Analyze This) – $106.8M
  19. アメリカン・パイ (American Pie) – $102.6M
  20. スリーピー・ホロウ (Sleepy Hollow) – $101.1M

2000年

  1. グリンチ (How the Grinch Stole Christmas) – $260.0M
  2. キャスト・アウェイ (Cast Away) – $233.6M
  3. M:I-2 (Mission: Impossible II) – $215.4M
  4. グラディエーター (Gladiator) – $187.7M
  5. ハート・オブ・ウーマン (What Women Want) – $182.8M
  6. パーフェクト ストーム (The Perfect Storm) – $182.6M
  7. ミート・ザ・ペアレンツ (Meet the Parents) – $166.2M
  8. X-メン (X-Men) – $157.3M
  9. 最終絶叫計画 (Scary Movie) – $157.0M
  10. ホワット・ライズ・ビニース (What Lies Beneath) – $155.4M
  11. ダイナソー (Dinosaur) – $137.7M
  12. グリーン・デスティニー (Crouching Tiger, Hidden Dragon) – $128.1M
  13. エリン・ブロコビッチ (Erin Brockovich) – $125.6M
  14. チャーリーズ・エンジェル (Charlie’s Angels) – $125.3M
  15. ナッティプロフェッサー2 (Nutty Professor II: The Klumps) – $123.3M
  16. ビッグママハウス (Big Momma’s House) – $117.6M
  17. リメンバー・ザ・タイタンズ (Remember the Titans) – $115.6M
  18. パトリオット (The Patriot) – $113.3M
  19. デンジャラス・ビューティー (Miss Congeniality) – $106.8M
  20. 60セカンズ (Gone in 60 Seconds) – $101.6M

2001年 9.11同時多発テロ発生

  1. ハリー・ポッターと賢者の石 (Harry Potter and the Sorcerer’s Stone) – $317.6M
  2. ロード・オブ・ザ・リング旅の仲間 (The Lord of the Rings: The Fellowship of the Ring) – $315.5M
  3. シュレック (Shrek) – $267.6M
  4. モンスターズ・インク (Monsters, Inc.) – $255.9M
  5. ラッシュアワー2 (Rush Hour 2) – $226.2M
  6. ハムナプトラ2/黄金のピラミッド (The Mummy Returns) – $202.0M
  7. パール・ハーバー (Pearl Harbor) – $198.5M
  8. オーシャンズ11 (Ocean’s Eleven) – $183.4M
  9. ジュラシック・パークIII (Jurassic Park III) – $181.2M
  10. PLANET OF THE APES/猿の惑星 (Planet of the Apes) – $180.0M
  11. ビューティフル・マインド (A Beautiful Mind) – $170.7M
  12. ハンニバル (Hannibal) – $165.1M
  13. アメリカン・パイ2 (American Pie 2) – $145.1M
  14. ワイルド・スピード (The Fast and the Furious) – $144.5M
  15. トゥームレイダー (Lara Croft: Tomb Raider) – $131.1M
  16. ドクタードリトル2 (Dr. Dolittle 2) – $112.9M
  17. スパイキッズ (Spy Kids) – $112.7M
  18. ブラックホーク・ダウン (Black Hawk Down) – $108.6M
  19. プリンセスダイアリー (The Princess Diaries) – $108.2M
  20. バニラ・スカイ (Vanilla Sky) – $100.6M

2002年

  1. スパイダーマン (Spider-Man) – $403.7M
  2. ロード・オブ・ザ・リング二つの塔 (The Lord of the Rings: The Two Towers) – $342.6M
  3. スター・ウォーズ エピソード2クローンの攻撃 – $310.7M
  4. ハリー・ポッターと秘密の部屋 (Harry Potter and the Chamber of Secrets) – $261.9M
  5. マイ・ビッグ・ファット・ウェディング (My Big Fat Greek Wedding) – $241.4M
  6. サイン (Signs) – $227.9M
  7. オースティン・パワーズ ゴールドメンバー (Austin Powers in Goldmember) – $213.3M
  8. メン・イン・ブラック2 (Men in Black II) – $190.4M
  9. アイス・エイジ (Ice Age) – $176.4M
  10. シカゴ (Chicago) – $170.7M
  11. キャッチ・ミー・イフ・ユー・キャン (Catch Me If You Can) – $164.6M
  12. 007 ダイ・アナザー・デイ (Die Another Day) – $160.9M
  13. スクービー・ドゥー (Scooby-Doo) – $153.3M
  14. リロ・アンド・スティッチ (Lilo & Stitch) – $145.8M
  15. トリプルX (xXx) – $142.1M
  16. サンタクロースリターンズクリスマス危機一髪 (The Santa Clause 2) – $139.2M
  17. マイノリティ・リポート (Minority Report) – $132.1M
  18. ザ・リング (The Ring) – $129.1M
  19. スウィートホームアラバマ (Sweet Home Alabama) – $127.2M
  20. Mr.ディーズ (Mr. Deeds) – $126.3M

2003年

  1. ロード・オブ・ザ・リング王の帰還 (The Lord of the Rings: The Return of the King) – $377.8M
  2. ファインディング・ニモ (Finding Nemo) – $339.7M
  3. パイレーツ・オブ・カリビアン/呪われた海賊たち (Pirates of the Caribbean: The Curse of the Black Pearl) – $305.4M
  4. マトリックス リローデッド (The Matrix Reloaded) – $281.6M
  5. ブルース・オールマイティ (Bruce Almighty) – $242.8M
  6. X-MEN2 (X2: X-Men United) – $214.9M
  7. エルフサンタの国からやってきた〜 (Elf) – $173.4M
  8. ターミネーター3 (Terminator 3: Rise of the Machines) – $150.4M
  9. マトリックス レボリューションズ (The Matrix Revolutions) – $139.3M
  10. チープ・バイ・ザ・ダズン (Cheaper by the Dozen) – $138.6M
  11. バッドボーイズ2バッド (Bad Boys II) – $138.6M (ほぼ同額)
  12. エンガー・マネージメント (Anger Management) – $135.6M
  13. 女神継承? (Bringing Down the House) – $132.7M
  14. ハルク (Hulk) – $132.2M
  15. ワイルド・スピードX2 (2 Fast 2 Furious) – $127.2M
  16. シービスケット (Seabiscuit) – $120.2M
  17. S.W.A.T. – $116.9M
  18. ラスト サムライ (The Last Samurai) – $111.1M
  19. フォーチュン・クッキー (Freaky Friday) – $110.2M
  20. 最終絶叫計画3 (Scary Movie 3) – $109.0M

2004年

  1. シュレック2 (Shrek 2) – $441.2M
  2. スパイダーマン2 (Spider-Man 2) – $373.6M
  3. パッション (The Passion of the Christ) – $370.8M
  4. ミート・ザ・ペアレンツ2 (Meet the Fockers) – $279.3M
  5. Mr.インクレディブル (The Incredibles) – $261.4M
  6. ハリー・ポッターとアズカバンの囚人 (Harry Potter and the Prisoner of Azkaban) – $249.5M
  7. ポーラー・エクスプレス (The Polar Express) – $187.9M
  8. デイ・アフター・トゥモロー (The Day After Tomorrow) – $186.7M
  9. ボーン・スプレマシー (The Bourne Supremacy) – $176.2M
  10. ナショナル・トレジャー (National Treasure) – $173.0M
  11. シャーク・テイル (Shark Tale) – $160.8M
  12. アイ,ロボット (I, Robot) – $144.8M
  13. トロイ (Troy) – $133.3M
  14. 50回目のファースト・キス (50 First Dates) – $120.9M
  15. ヴァン・ヘルシング (Van Helsing) – $120.2M
  16. 華氏911 (Fahrenheit 9/11) – $119.2M
  17. レモニー・スニケットの世にも不幸せな物語 (Lemony Snicket's A Series of Unfortunate Events) – $118.6M
  18. ドッジボール (DodgeBall: A True Underdog Story) – $114.3M
  19. ヴィレッジ (The Village) – $114.2M
  20. コラテラル (Collateral) – $101.0M

参考・補足

いずれも 北米アメリカカナダ)での累計興行収入 を概算で示しています

順位金額は、後年の再上映や細かな集計の修正によって若干入れ替わることがあります

上記あくまで「製作年」ではなく「北米公開年」を基準とし、その年に公開された作品の最終的な国内興行収入をもとにしたランキングです(年をまたいで興収を伸ばした作品も含みます)。

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