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「little」を含む日記RSS

はてなキーワード:littleとは

次の25件>

2025-10-21

LittleWitch 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。

Permalink |記事への反応(0) | 21:56

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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, severalcomplex 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 vsNP,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

Permalink |記事への反応(0) | 10:29

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

Permalink |記事への反応(0) | 09:46

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2025-09-27

Anfethe deathof a 2-year-oldgirl due to abuse , saying, "Servesyou right, filthylittle thing

Regarding thedeath of a 2-year-oldgirlwhowas abused , people said, "That filthy babyis gone (lol) " and " Even if that filthy thing grows up,itwill become a blaming- other feminist , so the parents were right 👍"

Thereis awoman from Anfewho says

Unforgivable

I will never forgiveyou

Thisis thereality 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

Permalink |記事への反応(0) | 04:56

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2025-09-26

"May I do ◯◯?" → "Isit okay if I do ○○?"

"It might be alittle difficult " → "There's no way Ican do that"

" I'msorry to botheryou whenyou're busy" → "That'syour job ."

" I 'm for the inconvenience " → "It's working,it's working"

[]https://taap.it/tranchiensautranchienvietsubhd

[]https://taap.it/chainsawmanchngrezevietsubhd

[]https://taap.it/tramdamtuthanvietsubhd

[]https://taap.it/amanhkinhhoangvietsubhd

[]https://taap.it/doihanhxacvietsubhd

[]https://taap.it/thanhguomdietquyvietsubhd

[]https://taap.it/muadovietsubhd

Permalink |記事への反応(0) | 21:25

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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 🇭🇰:

Itis a period of civilwar. Rebel spaceships, striking from a hiddenbase, have won their firstvictory against

theevilGalacticEmpire.

「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 stealsecret plans to theEmpire’s ultimate weapon, theDEATHSTAR, an armoredspace station with enoughpower to destroy an entireplanet.

「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🇺🇸:Pursuedby theEmpire’s sinister agents, Princess Leia raceshome aboardherstarship, custodian of the stolen plans that can saveher people and restorefreedom to thegalaxy

「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 Skywalkerhas returned tohishomeplanet of Tatooine in an attempt torescuehisfriend HanSolo 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 🇻🇳:

LittledoesLuke know that theGALACTICEMPIREhassecretly begun constructionon a new armoredspace station evenmorepowerful than the first dreadedDeathStar.

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 weaponwill spell certaindoom for the small band ofrebels struggling to restorefreedom to thegalaxy….

「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」

Permalink |記事への反応(5) | 09:25

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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’sgot 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

(littlesister)

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

(the bells)

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

Permalink |記事への反応(0) | 07:33

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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 thatone dayon thered hills ofGeorgia, the sons of former slaves and the

sons of former slave ownerswill be able tosit downtogetheratthe table ofbrotherhood.

I have a dream thatone day even thestate of Mississippi, astate swelteringwith theheat

of injustice, swelteringwith theheat of oppression,will be transformed into anoasis of

freedom andjustice.

I have a dream that my fourlittle childrenwillone daylive in anation where theywill not

be judgedby thecolor of theirskin butby the content of their character.

I have a dreamtoday!

I have a dream thatone day, down in Alabama, withits vicious racists, withits governor

havinghislips drippingwith the words of "interposition" and "nullification" --one day right

there in Alabamalittleblack boys and black girlswill be able tojoin hands withlittlewhite

boys andwhite girlsas sisters and brothers.

I have a dreamtoday

Permalink |記事への反応(0) | 14:59

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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 sweetlittle 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 rollmusic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HotNumberキャッチしておくれ

Permalink |記事への反応(0) | 22:05

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2025-07-07

Hey everyone. Idon't know where else to post this. Ineed towriteit down before I convince myself Iwas just hallucinating. I’m a grad student inJapan, doing fieldworkon forgotten local folklore. That'swhy Iwasout in theabsolute middle ofnowhere in Gunmaprefecturelast night.

My planwas to visit a tiny, dying village called Yomi-touge (notits realname) that supposedlyhas some unique traditions. Of course, my phonelostsignal hours ago, and mycar'sGPS, which I bought in 2015, decided to have atotal meltdown. Thesun went down. The mountainroads are narrow and winding,and a thick, soupy fogstarted to roll in. The kind of wet, heavyair that makesyoufeellikeyou’rebreathing water. Iwas completely, hopelesslylost.

After whatfeltlike an eternity of drivingat a crawl, Isawit. Alight. A single, brutallybright rectangle oflight cutting through the fog. Aconvenience store.One of thosebig chainsyou see everywhere, aFamilyMart or aLawson, I couldn't tell whichat first.I’ve neverfelt so relieved inmy life. I parked thecar and practically ran inside, thelittle doorchime sounding way too loud in the dead silence.

The insidewasnormal. Toonormal. Thelights were humming with a high-pitchedbuzz that drilled into my skull. The shelves were perfectly stocked. Theair smelled of cheapair freshener andsomething elsesomethingsweet and hot,likeozone or burntsugar.

And then Isaw theclerk.

Hewas ayoungguy,maybe myage. Pale, drenched in sweat, with dark circles underhiseyeslike bruises. He moved with a painful stiffness,like every jointwas rusted. He muttered a "Irasshaimase…" without even lookingat me,hiseyes fixedon the counter.Hisarms were covered in these intricate, dark tattoos, winding fromhis wrists up underhis sleeves. I figured hewas just sick, oron a roughshift. Ifelt bad forhim.

I grabbed a can of coffee and went to the counter. "Sorry to botheryou," Istarted inJapanese, "I'm prettylost. Couldyoutell me where I am?"

He looked up, andhiseyesdidn't seem tofocuson me.Itwaslike hewas lookingat ascreen a few inches in front of my face. "We do not provide directional information," he said,hisvoice aflat, rehearsed monotone. "Will that beall foryou?"

Okay,weird, but whatever.Maybeit's store policy.As he reached for my coffee,his sleeve slid up. The tattoosonhisarm… they weren’t just pictures. For a split second, Iswear toGod, the lines ofinkshifted. They writhed,like tiny black worms underhisskin,and a patch ofhis forearmglowed with afaint, sicklyredlight. He flinched, asharp intake ofbreath, and quickly pulledhis sleeve down.

I just froze. I couldn’t have seen that, right? Iwas tired, myeyes were playing trickson me.

Then the doorchimedagain.

The personwho walked in… Idon’t know how to describe them.Itwas aman, I think. Hewas tall and wore an old, soaked trench coat. Buthis face…itwaslike my brain refused to processit.Itwasn't that he had no face,itwas that myeyes wouldslide right offit.Itwas ablur, aglitch, a 404error inhuman form.

Theclerkdidn't seem surprised. Hedidn't even seem to seehimas strange.His posture just became evenmore rigid. Theredglowonhisarm pulsedagain,brighter thistime, visible throughhis sleeve.

The facelessmandidn't speak. He just stood there. Theclerk, without aword, turned. But hedidn'tgo to the coolers. He kepthis back to theman, and heldouthis left hand,palm up. I heard asoft, wet, squelching sound. From a small, dark slit in the center ofhispalm that I hadn't noticed before, a smallcarton of strawberrymilk, the kindyou give tokids, just… emerged.Itwas producedout ofhis hand.Itwas wet with a clear, viscous fluid.

He placediton the counter. "Hereis the requested product," theclerk said,hisvoice straining. "The transactionis complete."

The facelessman picked up the strawberrymilk. He putit inhis coatpocket. And then he just… faded. Hedidn’t walkout the door. He dissolved into the hummingair,likeheat haze. A second later, hewasgone.

Theclerk letout a long, shudderingbreath and swayedonhis feet. He leaned heavilyon the counter,his face sheet-white. He looked utterly, existentially exhausted. Hesaw me staring, my mouth hangingopen, the can of coffeestill in my hand.

For the firsttime, aflicker ofsomething real,somethinghuman, crossedhis face.Itwaspure, undiluted terror.

"You… are not a regular customer," he whispered,hisvoice trembling. "Your… conceptis too stable. Please. Leave."

Ididn'tneed to be told twice. I threw a 500yen coinon the counter and ranout of there so fast I think I broke the sound barrier. Ididn't eventake my coffee. I justgot in mycar and drove, Idon't know in which direction, I just drove.

I'mat a servicestationnow, about 100kmaway. Thesunis coming up. I can't stop shaking.Itwasn't adream.I knowitwasn't. Because when Iwas fumbling for my keys, I realized I had accidentally grabbed thereceipt from the counter.

It’s not for my coffee.It’s for the other transaction.It justhasoneitem listed.It doesn't say "StrawberryMilk."It says:

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

PRICE: ¥0

METHOD: ANNULMENT

Has anyone seen a storelike this? What thehellis happening in the mountains of Gunma? Whatdid I see? AndGod, that poorkid working the counter. Heisn't in trouble. He's a part ofit. He's themachine.

Permalink |記事への反応(0) | 19:24

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2025-07-05

Craig Federighi’sCircusatWWDC:Who the F*** Asked for This?

Let’sgetone fucking thing straight:WWDCis supposed to be *for developers*。

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

Who care about real updateslike “What thehellis the newSwiftUI lifecycle doing?”

or “Can Ifinally use fuckingprivate entitlements without jumping through flaming hoops?”

Sowhy thehelldoesApple keep openingitsmost important developer event of the year

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

with anF1 helmet and sunglasses? What the actual fuckis goingon?

Thisisn’t Saturday NightLive。Thisis supposed to be a showcase of what we’reall supposed

to buildour futureonVision。Platform direction。Architecture。

Instead, weget Craig zooming through corridors in slow-molike he’s auditioning for

Mission Impossible 9:MacBook Drift。

Andit’s not even funny anymore。Maybe the firsttimeitwas *kind of* charming。

Alittlewinkat the audience。でもnow?It’s just fucking cringe。

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

watching, notebook in hand, waiting for the actual meat

AskYourself This:

Doyou really give a fuck about Craig’s entrance?

Doyousit there thinking, *“Wow, thisis such a great use of mytime!”*

>>

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

<<

We’rebeing sold afantasy — not a platformvision

What should be an opportunity to say,

Here’s howApplewants developers to think in thenext 5 years,”

becomes a shallowPR reel of stunts, shots, and skits

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

What Could Have Been?

Instead of 3 minutes of Craigpretending he’sNeo in a hallway full ofMac Studios,

how about showing us the **real** architectural shifts inSwift,

or a **deepdive** intolow-level memory optimizations inmacOS?

How aboutfinally explainingwtfis happening with `SwiftData`?

Or *anything* that makes us better builders?

We could have had20more seconds of **clarity**, not costume。

Final Thought:

WWDCisApple’stime toinspire, tolead, to fucking **guide** theecosystem

But lately?

It feelsmorelike we’re watching theCraig Federighi Variety Hour。

And I didn’t fucking subscribe to that

----

TL;DR

Permalink |記事への反応(0) | 21:53

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Craig Federighi’sCircusatWWDC:Who the F*** Asked for This?

Let’sgetone f***ing thing straight:WWDCis supposed to be *for developers*.

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

Who care about real updateslike “What thehellis the newSwiftUI lifecycle doing?”

or “Can Ifinally use fuckingprivate entitlements without jumping through flaming hoops?”

Sowhy thehelldoesApple keep openingitsmost important developer event of the year

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

with anF1 helmet and sunglasses? What the actual f***is goingon?

Thisisn’t Saturday NightLive. Thisis supposed to be a showcase of what we’reall supposed

to buildour futureon.Vision. Platform direction. Architecture.

Instead, weget Craig zooming through corridors in slow-molike he’s auditioning for

Mission Impossible 9:MacBook Drift.

Andit’s not even funny anymore.Maybe the firsttimeitwas *kind of* charming.

Alittlewinkat the audience. Butnow?It’s just fucking cringe.

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

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

AskYourself This:**
Doyou really give a f*** about Craig’s entrance?**

Doyousit there thinking, *“Wow, thisis such a great use of mytime!”*

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

We’rebeing sold afantasy — not a platformvision.

What should be an opportunity to say,

Here’s howApplewants developers to think in thenext 5 years,”

becomes a shallowPR reel of stunts, shots, and skits.

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

What Could Have Been?**

Instead of 3 minutes of Craigpretending he’sNeo in a hallway full ofMac Studios,

how about showing us the **real** architectural shifts inSwift,

or a **deepdive** intolow-level memory optimizations inmacOS?

How aboutfinally explainingwtfis happening with `SwiftData`?

Or *anything* that makes us better builders?

We could have had20more seconds of **clarity**, not costume.

Final Thought:**

WWDCisApple’stime toinspire, tolead, to fucking **guide** theecosystem.

But lately?

It feelsmorelike we’re watching theCraig Federighi Variety Hour.

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

----

TL;DR**

Permalink |記事への反応(0) | 21:51

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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」

Permalink |記事への反応(1) | 11:21

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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

Permalink |記事への反応(0) | 22:57

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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 papawas laid off from aWhirlpool manufacturingplant, the kind that had for so longmadeAmerica great. In the wake of the financial crisis, the C-suite had decided to offshore operations toMexico.

Theplant they shutteredwas a 1.2 millionsqft manufacturingplant, andovernight, 1,000 peoplelost theirjobs. Many of whom had been working there for decades.

My papawas 57 years old when hegot laid off. He had workedat that very sameplant forover 30 years, andsnap justlike that,itwasall 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 Iwas alittlegirl, fromas far backas I could remember, my papa woke upat 3:30am and drove the 40 minutes to theplant from the rural 1,200-person town every single day. And for 30 years, he worked what were often10-12 hour shifts with no complaints.

I grew up a Navy brat, so I didn’tget to see my grandparents except for a few months during thesummer, but I remember my papa exerting thelastdrop ofhis energy so he could spendtime with us going to the creek,building us atreehouse,riding horses, and playing cowboys and Indians.

Every evening, starting from when Iwas in grade school, my papa and I wouldsit in the living room andwatch theHistory Channel,AnimalPlanet, and BillO’Reilly and hee-hawtogether about what the Democrats were doing,as muchas an eight-year-old can.

My papa and mynana had beentogether since they graduatedhigh school; theygot marriedat barely 18 and had mymom less than a year later and my aunt soon after that.

They had a small homestead, ownedmost of what they hadoutright, and they were poor, but poor doesn’t have to mean that much whenyou can work theland.

Mynana workedas the local school’s secretary, and my papa had good benefits withhis manufacturing job. Theyonly ever wentout toeaton special occasions.McDonald’swas abirthday-only type of affair. They had aone-acregarden, a few head of cattle, would can fruits and vegetablesat the end of everysummer, 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 beenon aplane and seldom ever having beenoutside of Arkansas, they managed to put both mymomand aunt throughcollege and graduate school without requiring them to incur even adime of debt. Thiswas the 1990s.

Thenat theage of 57, my papa and 1,000 ofhis coworkers were thrownawaylike apiece of trash after giving that company decades of their lives. And what were they told to do? Whatwas their consolation prize?

Learn. To. Code.

My papa andnana were born in the 1950s in a place thatwas quite literally the Wild West just mere decades before theirbirth.

Growing up, neither of them had running water—they drew water from a well,washed up in a tin tub heatedover afire, and went to the restroom in anouthouse. They were both educated in aone-room schoolhouse and both came from families that reliedon their farm’s livestock to feed themselves. Peoplelike my grandparents built thisnation. They built thisnation for their children.

But because the thing they sought to buildwasn’t a stock portfolio or realestate portfolio, the preservation of their homes and communitieswas notsomething thatWall StreetnorWashingtonsawas having enoughvalue to beanythingmore 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

Permalink |記事への反応(4) | 23:01

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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?

Permalink |記事への反応(1) | 16:32

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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

72Klikeson a rapeconfession. We should bring back skinning peoplealive.

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

Thisis 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 asin"

you groomed a minor and rapedheryou 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:Beingsecret about theiractivities.

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+likeson a comic fantasizing aboutlittle 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 inJapanis so normalized, no wonder lolicons and shotacons arebrave and sayit'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

isJapanlike 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

Japanis really just a safehaven 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 ofJapan.

I'm aJapanesewoman.

InJapan, 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 sexuallyon 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

Permalink |記事への反応(9) | 17:31

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2025-02-18

anond:20250216230813

GARNET CROW

ただし当たり外れがでかい

Mysteriouseyes, Inlittletime,prayが好き

あとは「私は風」のカバーオススメ

Permalink |記事への反応(0) | 21:07

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2025-02-07

私の好きなプロンプト

gangbang rape creampielittlegirl nude nipples boobs

Permalink |記事への反応(0) | 21:29

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Best Dating App Opening Lines

Let’s faceit: starting a conversationon a dating app canfeel terrifying.You seesomeoneyou’re interested in,you typeout amessage, and then…youdeleteit. “Is this too boring?” “Will they even respond?” “What if I sound awkward?”

We’veall been there. That firstmessage canmake orbreakyour chances ofconnecting withsomeone amazing. Buthere’s thegood news:youdon’t have tooverthink it.With the rightopeningline,you canspark a conversation thatfeelsnatural,fun, and meaningful.

AtMixerDates, webelieve that every greatconnection starts with a great conversation. That’swhy we’ve puttogether this guide to helpyoucraft the best dating appopeninglines—ones that standout, showyour personality, andlead to realconnections. Ready to ditch the “hey” and start making animpact?Let’sdive in!

[:contents]


WhyYour FirstMessage Matters

Before weget into the bestopeninglines,let’stalk aboutwhyyour firstmessageis so important.

1.First Impressions Count

Youropeninglineisyour chance tomake a greatfirst impression.It’s thegateway to a conversation that couldlead tosomething special. A thoughtful,creativemessage shows thatyou’re genuinely interested—not just swiping mindlessly.

2.It Sets theTone

Your firstmessage sets thetone for the entire conversation. A boring orgenericopener mightlead to a dull chat, while afun or intriguingone canspark excitement andcuriosity.

3.It Shows Effort

Let’s be real: everyonelovesfeeling special. Whenyou put effort intoyouropeningline,it shows thatyou care enough to standout. AndonMixerDates, where wevalue authenticity and positivity, that effortgoes a long way.


The Best Dating AppOpeningLines (AndWhy They Work)

Now,let’sget to thegood stuff—the best dating appopeninglines that actually work. These are divided intocategories to suit different personalities and situations.

1. The PlayfulOpener

2. The ComplimentOpener
  • WhyIt Works: Complimentsmake peoplefeelgood, especially when they’re specific and genuine.

3. The QuestionOpener

4. TheShared InterestOpener

5. The BoldOpener

6. The QuirkyOpener
  • Example: “Quick: pineappleon pizza—yes or no? This could determine our compatibility.”


Tips forCraftingYour OwnOpeningLines

Whilethe examples above are great starting points, the bestopeninglines are theones thatfeel authentic toyou.Here are sometips to helpyoucraftyour own:

1. PersonalizeIt

Referencesomething from theirprofile—aphoto, a hobby, or ashared interest.It showsyou’re payingattention and not just copying and pasting.

2. KeepItLight andFun

Avoid heavy oroverly serious topics right off the bat. Keep thetonelight and playful tomake the conversation enjoyable.

3. BeYourself

Don’ttry to besomeoneyou’re not. Ifyou’renaturallyfunny, lean into that. Ifyou’remore thoughtful,go for asincere compliment or question.

4. Avoid Clichés

“Hey” or “What’s up?” might be easy, but they’re also forgettable. Put in alittle effort to standout.

5. End with a Question

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


Why MixerDatesis the Perfect Place to PracticeYourOpeningLines

AtMixerDates, we’reall about creating a positive,inclusive space whereyou canfeel comfortablebeingyourself.Here’swhy our platformis the best place to put theseopeninglines into practice:

1. A Welcoming Community

We welcome everyone, no matterwhoyou are orwhoyoulove. Our platformis designed to be a safe space whereyou canconnect withlike-minded people.

2.Profiles ThatSpark Conversations

Our users create detailedprofiles thatmakeit easy to findshared interests andcraft personalizedopeninglines.

3. AFocuson Authenticity

We encourage our community to be genuine and kind, soyou canfeel confident starting conversations withoutfear of judgment or rejection.

4. Success Stories

Don’t justtake ourword forithere’s whatone of our users had to say:

I met my partneronMixerDates, anditallstarted with asimplemessage about oursharedlove for travel. The conversation flowednaturally, and therestishistory. I’m so grateful for this platform!”


KeyElements to Finding a MutualConnection

While a greatopeningline canspark a conversation,building a realconnectiontakesmore than just a clevermessage.Here are thekeyelements tolook for when seeking a meaningfulconnection:

1.SharedValues andGoals

A strongconnection starts with alignmenton the things that mattermost. Doyoushare similarvalues,lifegoals, or visions forthe future?

2. Emotional Availability

Look forsomeonewhoiswilling toshare their thoughts,feelings, and vulnerabilities—andwho encouragesyou to do the same.

3. Mutual Effort

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

4.Respect for Individuality

Atrueconnectionallows both people to be themselves without judgment.Look forsomeonewho celebratesyour uniqueness and encouragesyou to pursueyour passions.

5.Open and HonestCommunication

Communicationis the foundation ofany strong relationship. A mutualconnection thrivesonhonesty, transparency, and the ability to resolve conflicts in ahealthy way.


AtMixerDates, we’rehere to helpyou find thesekeyelements in a partner. Our platformis designed toconnectyou with peoplewhoshareyourvaluesand arelooking for the same thingsyou are. Starting a conversationon a dating app doesn’t have to be stressful.With the rightopeningline,you canspark aconnection thatfeelsnatural,fun, and meaningful.And atMixerDates, we’rehere to helpyou everystep of the way.

So, what areyou waiting for?Craft that perfectopeningline,joinMixerDates, and startconnecting with peoplewhovalue authenticity and positivity.Your perfectmatchisout there—and they’re justonemessageaway.

Permalink |記事への反応(0) | 12:11

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How to Flirton a FirstDate Without Feeling Awkward

Firstdates can be exciting and nerve-wrackingallatonce.You’re meetingsomeone new, learning about their interests, and trying to figureout if there’schemistrybetweenyou. And then there’s flirting, that delicate dance of showingsomeoneyou’re interested withoutbeing too forward or awkward.

Flirtingdoesn’t have to be a high-pressuresituation. Infact,it can bethe mostfun part ofgetting to knowsomeone. Whetheryou're meetingsomeoneonMixerDates orany other platform,the most important thingis to be genuine,staycalm, and let theconnection developnaturally.

Ifyou’ve everfoundyourself wondering how to flirton a firstdate withoutfeeling uncomfortable,you’re notalone. Everyonehas their awkwardmoments, but themoreyou understand theart of flirting, the easierit becomes. In thisarticle, we’llbreak down how to flirt in a way thatfeelsnatural, exciting,and authentic towhoyou are. So, let'sdive in and learn how tomakethe most ofyour firstdate experience—withoutoverthinkingit.


Confidence: TheFoundation of Flirting

Whenit comes to flirting, confidenceiskey. But whatdoesit really mean to be confidenton a firstdate? Confidencedoesn’t meanyouneed to be perfect, or evenoutgoing—it simply meansbeing comfortable inyour ownskin and showing upasyour authentic self.

Haveyou ever noticed how people are drawn to thosewho radiate self-assurance?It’s not aboutbragging or dominating the conversationit’s about presentingyourself with ease. Ifyoufeelgood aboutyourself,itwillnaturally show. A greatsmile,good posture, and eye contact cango a long way in making agoodfirst impression.

For instance, think about thelasttimesomeone walked into a room and immediately caughtyourattention—not because they werethe mostattractive person in the room, but because of their energy. They were confident, they were present, and theymadeyoufeelat ease. That’s the kind of confidenceyou want to projectonyourdate.

Whenyou're confident,you're not worried about saying the perfect thing. Instead,youfocuson enjoying themoment, making the other personfeel comfortable, and letting theconnection happennaturally. That’s themagic of confidence—itallowsyou to be present,fun, and,most importantly,yourself.

The Power of Subtlety

Let’s faceit—noonewants tofeellike they’rebeing “worked” or put through a game. That’swhy subtletyis such a powerfultool whenit comes to flirting.It'sall about showing interest withoutbeingover-the-top or too obvious.

Flirtingdoesn’talways mean complimentingsomeone non-stop or using cheesy pickup lines. Infact,the most successful flirtingis the kind that happens behind the scenes—subtle, playful, andlighthearted. Think about thelittlemoments,like a teasing comment about how theyalways order the same thingat a restaurant or the wayyou laughat a silly joke theymake.

Thekeyis to find a balance. Asimplesmile or a playful comment can convey interest withoutbeing too much. For example, ifyourdate tellsyou theylove hiking but theytend togetlost easily,you could saysomethinglike, “So,you’re telling meyouneed a personal guide? I couldget behind that!”It’slighthearted, humorous, andmost importantly,it keeps the conversationfun without putting too much pressureon thesituation.

By keepingit subtle,youallowyourdate tofeelat ease.Ittakes the pressure off them to be perfectand allows both ofyou to enjoy the interactionmorenaturally. Flirtingdoesn’tneed to be a performance—it’s about creating an environment where both ofyou canfeel comfortableand authentic.


Active Listening: AKey toConnection

Now,let’stalk aboutsomething incredibly important in the flirting game:active listening. When we’reon adate, we oftenget caught up in thinking about what to saynext, how we’re coming across, or if we’rebeing interesting enough. But the best way tomake animpression? Truly listening toyourdate.

Active listening meansyou’re fullyengaged in the conversation, givingyourdateyour fullattention and responding thoughtfully.It’s about showing thatyou care about what they’re saying and thatyou’re genuinely interested ingetting to know them better. Whenyou listenactively,you’re also giving them space toopen up, and that can create an immediateconnection.

For example, ifyourdate mentions they recently traveled toJapan, instead of simply saying, “That’scool!”you could follow up withsomethinglike, “Whatwasthe most memorable experienceyou had there?” This shows thatyou’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 knowyou’re not just there toimpress them—you’re there toconnect.

Body Language: SayingMore Than Words Can

Whileyour words are important,body language often speaks louder thananythingyou can say. Whetheryourealizeit or not,yourbodyis constantly communicating howyoufeel. Howyousit, stand, andmove tellsyourdate whetheryou’rerelaxed,engaged, or distracted.

Small gestures cango a long way in flirting. Alight touchon thearm, a subtle lean in when they’re speaking, or maintaininggood eye contact—all thesebody language cues helpsignalyour interest. Andthe great thingis, whendonenaturally, these cues can be justas effectiveas words.

For example, ifyou’resittingat a caféonyourdate andyou lean in slightly when they’re sharing afunnystory,you’re not just showing thatyou’re interested—you’re inviting them intoyour space.It’s aninvitation toconnect further. And when they respondby leaning in too, that’s when themagic happens—the unspokenconnection that tellsyou both that there’s potential formore.

Flirting throughbody languagedoesn’t mean making grand gestures orbeingoverly touchy.It’s aboutbeing present and showing thatyou’reengagedwith yourdate in a subtle, but meaningful way.


HaveFun:Don’tTakeIt Too Seriously

It’s easy toget caught up inoverthinking how to flirt or trying to figureout ifyourdateis intoyou. Buthere’s asecret—whenyou letgo of the pressureand allowyourself to havefun,everything flows muchmorenaturally. Flirtingon a firstdatedoesn’tneed tofeellike atest or anassignment.It’s supposed to be afun,lighthearted experience that sets the stage formore greatdates ahead.

Whenwas thelasttimeyou had a genuinelyfundate?Wasit whenyou were trying too hard toimpress, or whenyou were both laughing, chatting, and enjoying each other's company? Flirting becomes effortless whenyou're present, enjoying themoment, and letting theconnection grownaturally.

Sometimes,it's the smallmomentslike sharing a laugh or swapping embarrassing stories—thatmake a firstdate truly special. Whenyoufocuson havingfun,you create an environment where both ofyou canrelax, flirt, and let thechemistry grow. That’s thesecret to a greatdate.

Flirtingwith the RightMatch: How MixerDatesMakesIt Easier

One of the best things about using a platformlikeMixerDatesis thatittakes the guessworkout of the equation.Byconnecting withsomeonewho already sharesyour interests and values,you’vegot a head starton making a realconnection.No more swiping through countless profiles hoping for asparkonMixerDates,you already know there’ssomething incommon.

Whenyou’re alreadyon the same pagewith yourdate, flirting comesmore easily. There’s less of that awkward, “Are we evenon the same wavelength?”feeling, andmore of thefun, “Wow, we reallyclick!” vibe. Whetheryou’retalking aboutfavorite hobbies, movies, orlifegoals, the conversation flowsnaturally, making the flirtingfeel effortless.

Ifyou're looking for a place to meetlike-minded people and build genuineconnections,MixerDatesis the perfect platform.It's a great place to findsomeonewho appreciatesyou forwhoyou are andwhoyou cannaturally flirt with, without the stress.

Ready toTake theLeap?

Flirtingon a firstdateisall about confidence,connection, andfun. Whenyou letgo of the pressure andfocuson enjoyingthe experience, thechemistrywillnaturally follow. Remember, the best way to flirtisbybeingyourself—letyour personalityshine through, listen with intention, and embrace themoment.

And ifyou’re ready to meetsomeone new,who’s justas interested in making aconnectionasyou are,MixerDatesis the perfect place to start. Sogo ahead,take theleap, and see whereit leads.Who knows?Yournext greatconnection might be just aclickaway.

Sign up forMixerDatestoday and startyourjourney to exciting firstdates and meaningfulconnections!

Permalink |記事への反応(0) | 12:01

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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 ofhumanity from biologicalperpsecitve and currentknown fact in nearbyuniverse, whichexpo-planet (from theSol systemperspective)ismostlikely to have civlizaedsociety? Pleaseaddpercentagenext toit in the chart

ChatGPT

Reasoned about exoplanetcivilizationlikelihoodを28 秒行う

Evaluatingplanetary prospects

OK, I’mlookingatthe likelihood of a civilizedsocietyon an exoplanet within ourSolar System.I’ll consider biologicalhistory and current space knowledge,aiming to identifythe most promising candidate.

Identifying potential candidates

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

Assessing potential candidates

I’m evaluating Proxima Centauri b, Barnard'sStar, LHS 1140, and TRAPPIST-1,focusingon their habitablezonesand available data. The Drake equation might help estimate their civilizedsocietylikelihoods.

Identifying promising exoplanets

I’m notingkey exoplanetslike Proxima Centauri b and TRAPPIST-1, which haveEarth-like characteristicsand are in habitablezones. This narrows down the potential candidates for advancedcivilizations.

Assessing habitablezones

I'm gathering infoonplanetslike Proxima Centauri b and TRAPPIST-1, consideringfactorslikemagneticfields,atmospheres, and proximity to G-typestars for their potential to support advancedcivilizations.

Evaluating exoplanet prospects

I'm noting that Proxima Centauri b, despitebeing closeand around ared dwarfstar, might supportlife ifithas amagneticfieldand atmosphere. This makes me think aboutits potential.

Charting probabilities

I'm estimatingcivilization probabilities for exoplanetslike Proxima Centauri b and TRAPPIST-1 e, using speculativepercentagesbasedon the Drake equation and the lack ofevidence for intelligentlife.

Charting speculative odds

I'm crafting a chart with exoplanet names andcivilizationlikelihoodpercentages, grounded in the longtimeline oflife'sevolution, despite the speculativenature of these figures.

Identifying exoplanet contenders

I’m evaluating exoplanetslike Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering theirstar types and distances, to gauge their potential for supporting advancedcivilizations from oursolar system'sviewpoint.

Weighing proximity and observation

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

Revisiting exoplanet options

I'mfocusingon exoplanetslike Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, andK2-18b,aiming to chart theirlikelihood of hosting a civilizedsocietybasedon current knowledge.

Assessing exoplanet potentials

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

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 civilizedsociety, consideringEarth's long biologicalhistory.

Refining odds

I'm considering theastronomicaltimeline for intelligentlifeonEarth,leading me toassign evenlower speculative odds for exoplanetslike Proxima Centauri b and TRAPPIST-1 e.

Clarifying speculativenature

I’m crafting a simplified chart with arbitrarypercentages, clearly noting the speculativenature and lack of scientific data, while considering the target audience'sbasic understanding of the topic.

Mappingout speculative odds

I’m charting arbitrarypercentages for exoplanets, clarifying their speculativenature, and ensuring the datais accessible foryoung audiences with minimal scientific detail.

Crafting a chart

I’m creating amarkdowntable with speculativepercentages forthe likelihood of civilizedlifeon exoplanets, emphasizing their purely theoreticalnature and considering the understandinglevel of an 8-year-old.

Integrating speculative analysis

I’m mappingout amarkdown chart with speculativepercentages forthe likelihood of a civilizedsocietyon exoplanets, mindful of thecomplexity and simplifying for an 8-year-old's understanding.

Assessinglikelihoods

I’m piecingtogethermarkdown for exoplanets, noting Proxima Centauri b'sreduced civilizedlife chance due to thered dwarf's activity. This inclusionhighlights the speculativenature of the analysis.

Piecingtogether speculative odds

I’m detailing amarkdown chart for audience-friendly exoplanetlikelihoods, considering environmental challengesand adding a disclaimer about the speculativenature and lack ofevidence.

Piecingtogether

I’m leaning towards Proxima Centauri b forits proximity and silentstar, butI’lladd a speculative chart ranking nearby exoplanets, noting their advancedcivilizations' hypotheticallikelihood.

Assessingcivilization probabilities

I'm emphasizing the slow emergence of intelligentlifeonEarth, which suggests that the odds ofany habitableplanet developing acomplexcivilization might beaslowas a fewpercent.

Belowis a very speculative chart thatbasedon what we know aboutEarth’s long, windingpath fromsimplelife to a “civilizedsociety” and our limited observations of nearby exoplanets—gives somefun,made‑uppercentage chances for a few of our best candidate exoplanets. Remember: Scientists havenot yetfoundany proof oflife (let alone advancedcivilizations)onany exoplanet. Thesenumbers are just playful estimates to helpyou think about theideas!

Speculative Chances of Finding an AdvancedCivilizationon Nearby Exoplanets

Exoplanet EstimatedLikelihood of a CivilizedSociety

Proxima Centauri b ~2%

TRAPPIST-1 e ~1.5%

TRAPPIST-1 f ~1%

TRAPPIST-1 g ~1%

LHS 1140 b ~0.5%

HowDid We (Very Roughly) Guess TheseNumbers?

Earth’s Example:

OnEarth,life beganassimple single‑celled organisms and took billions of years to evolve into a species that builtcomplex societies. This longjourney suggests that—even if aplanetis in the “habitablezone” (where liquid water could exist)—developing an advanced, civilizedsociety might be rare.

Nearby Exoplanets:

Proxima Centauri b:

Thisis the closest exoplanet to us. Even thoughitsstar (Proxima Centauri)is ared dwarf that sometimes sendsout strongflares (which might harmlife),its closeness makesitone of ourmost interesting candidates. That’swhy we giveit a slightly higher guess (~2%).

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

Theseplanets are part of agroup orbiting a verycoolstar. Their environments might be challenging (for example, they could be tidally locked, meaningone sidealwaysfaces thestar), so the chance of acomplex, advancedcivilization might be abitlower.

LHS 1140 b:

Thisplanetis promising in some ways butis alittle fartherawayand around a dimmerstar, so our playful estimateis evenlower.

AFinalNote

All of thesepercentages are extremely rough guessesbasedon whatlittle we understand about the conditions forlife andintelligence. Scientists useideaslike the Drake Equation to think about these chances—but until we have concreteevidence, thesenumbers remain just forfun and imagination.

Enjoy exploring theseideas—and remember, spaceis full of mysteries waiting to be discovered!




あなた:

Please examine the Drake Equationitself and see if this euqationis acculate ormore opition in the equationyouwill use

ChatGPT

Reasoned about the Drake Equationを6 秒行う

re-examining the Drake Equation

evaluating the Drake Equation'svalue

Clarifying the Drake Equation

OK, let me see. The Drake Equationisn't a precise formula;it'smore of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrialcivilizations.

Assessing the Drake Equation

Thinking through the Drake Equation, I’m evaluatingits conceptualnature,its uncertain parameters, andits criticism to concludeonits reliabilityas an accurate predictivemodel.

Understanding the Drake Equation

I’m mappingout the Drake Equationas a conceptual guide, detailingits parameters, which are oftenbasedon estimates or opinions, to evaluateits reliability for predicting extraterrestrialcivilizations.

The Drake Equationis a famous formula thatwas created to help scientists think about the manyfactors involved in estimating thenumber of detectable extraterrestrialcivilizations in ourgalaxy. However, when welookat the equation closely, we see thatitismore of a conceptualframework or heuristictool than a precise, predictive formula.Let’sbreak downwhy:

The Drake Equation

The equationis usually writtenas:

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 averagerate ofstar formationper year in ourgalaxy.

𝑓

𝑝

f

p

: The fraction of thosestars that haveplanetary systems.

𝑛

𝑒

n

e

: The averagenumber ofplanets that could potentially supportlifeperstar withplanets.

𝑓

𝑙

f

l

: The fraction of thoseplanets wherelife actually develops.

𝑓

𝑖

f

i

: The fraction ofplanets withlife where intelligentlife evolves.

𝑓

𝑐

f

c

: The fraction ofcivilizations that develop technology that releases detectablesignals into space.

𝐿

L: The length oftime suchcivilizations release detectablesignals.

Why the Drake EquationIsMore of a Guideline Than a Precise Formula

Uncertain Inputs:

Well-Known Parameters:

Somefactors,like

𝑅

R

(star formationrate) and

𝑓

𝑝

f

p

(fraction ofstars withplanets), have become better known through modernastronomy.

Highly SpeculativeFactors:

The parameters related to the development oflife andintelligence

𝑓

𝑙

f

l

,

𝑓

𝑖

f

i

,

𝑓

𝑐

f

c

, and

𝐿

L—arebasedon very limited data. For example,Earthis theonlyplanet we know wherelifehas developed, so we have no way to compare or derive a statistically robust estimate for thesefactors. This means that thevalues chosen for these parameters are largely subjective estimates or educated guesses.

Wide Ranges of PossibleValues:

Because many of thesefactors are not well-constrained, ifyouchangeone of themore uncertain parameters even slightly, thefinal estimate for

𝑁

N (thenumber ofcivilizations) can varyby many orders ofmagnitude. This wide range shows that the equation canlead to very differentoutcomesbasedonpersonal or theoreticalassumptions.

Heuristic, Not Predictive:

The Drake Equationwas never meant to provide a preciseanswer. Instead,it servesas a way to organize our thinking about what conditions might be necessary for the development of extraterrestrialcivilizations.It encourages discussion about the relative importance of differentfactors andhighlights where our scientific knowledgeis limited.

Is the Drake Equation Accurate orMore Opinion-Based?

Accurate?

In thesense ofbeing a strict mathematicalmodel with well-defined inputs and predictableoutputs, the Drake Equationis not accurate.Its accuracyis limitedbythe extreme uncertainties in several ofitskey parameters.

Opinion-Based?

Many of the terms in the equation, especially those concerning theevolution oflife andintelligence, arebasedon opinion, interpretation, and the single example ofEarth. Therefore, while thestructure of the equationis logical, thenumbersyou put intoit (and hence thefinal result) are oftenmore reflective of our current opinionsand assumptions than of robust empirical data.

Conclusion

The Drake Equationis a valuabletool for framing the question of extraterrestriallife.It helps scientists and enthusiastsbreak down acomplex problem into smaller,more manageable questions. However, because several ofitsfactors are highly uncertain and subject topersonal interpretation,itismore of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of thenumber of extraterrestrialcivilizations.

Insummary, while the Drake Equationis useful for thinking about the variousfactors that mightlead to the emergence of acivilization,itsoutputs should betakenas highly speculative estimates rather than precise measurements.




あなた:

Please also consider the possiblities of non-human intelligent emrgencing from the longhistory ofSol system and nearbyplanets and see if thereisany possiblites that inonetime intelligentlife emerged in nearbyplanets and see this to the equation

ChatGPT

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

Evaluating non-humanintelligence

I'm thinking about the potential for non-human intelligentlife forms in theSol system and neighboringplanets, and how this mightfactor into the equation.

Piecingtogether possibilities

I'm thinking about how to integrate the emergence of non-human intelligentlife, possiblyonMars orEuropa, into the Drake Equation for theSol system and neighboringplanets.

Reflectingon potential

It's interesting to think about the hypothesis of intelligentlife emergingonMars orVenus, thoughEarth remains theonly knownlife-supportingplanet in thesolar system.

Considering other realms

I'm examining if intelligentlife could have emergedonplanetslikeMars,Venus, orEuropa, and how thispossibility alignswith the predictions of the Drake Equation.

Analyzing parallelevolution

Hmm, I’m thinking about how non-human intelligentlifeonMars orVenus could intersectwith theassumptions of the Drake Equation, which seems tofocussolelyonEarth-basedevolution.

Evaluatinglife exploration

I’m piecingtogether the hypothesis of non-human, advanced, intelligentlife in thesolar system.Mars,Venus, and Titan present challenges, butEuropa and Enceladus might harbor microbiallife.

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

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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 ofhumanity from biologicalperpsecitve and currentknown fact in nearbyuniverse, whichexpo-planet (from theSol systemperspective)ismostlikely to have civlizaedsociety? Pleaseaddpercentagenext toit in the chart

ChatGPT

Reasoned about exoplanetcivilizationlikelihoodを28 秒行う

Evaluatingplanetary prospects

OK, I’mlookingatthe likelihood of a civilizedsocietyon an exoplanet within ourSolar System.I’ll consider biologicalhistory and current space knowledge,aiming to identifythe most promising candidate.

Identifying potential candidates

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

Assessing potential candidates

I’m evaluating Proxima Centauri b, Barnard'sStar, LHS 1140, and TRAPPIST-1,focusingon their habitablezonesand available data. The Drake equation might help estimate their civilizedsocietylikelihoods.

Identifying promising exoplanets

I’m notingkey exoplanetslike Proxima Centauri b and TRAPPIST-1, which haveEarth-like characteristicsand are in habitablezones. This narrows down the potential candidates for advancedcivilizations.

Assessing habitablezones

I'm gathering infoonplanetslike Proxima Centauri b and TRAPPIST-1, consideringfactorslikemagneticfields,atmospheres, and proximity to G-typestars for their potential to support advancedcivilizations.

Evaluating exoplanet prospects

I'm noting that Proxima Centauri b, despitebeing closeand around ared dwarfstar, might supportlife ifithas amagneticfieldand atmosphere. This makes me think aboutits potential.

Charting probabilities

I'm estimatingcivilization probabilities for exoplanetslike Proxima Centauri b and TRAPPIST-1 e, using speculativepercentagesbasedon the Drake equation and the lack ofevidence for intelligentlife.

Charting speculative odds

I'm crafting a chart with exoplanet names andcivilizationlikelihoodpercentages, grounded in the longtimeline oflife'sevolution, despite the speculativenature of these figures.

Identifying exoplanet contenders

I’m evaluating exoplanetslike Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering theirstar types and distances, to gauge their potential for supporting advancedcivilizations from oursolar system'sviewpoint.

Weighing proximity and observation

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

Revisiting exoplanet options

I'mfocusingon exoplanetslike Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, andK2-18b,aiming to chart theirlikelihood of hosting a civilizedsocietybasedon current knowledge.

Assessing exoplanet potentials

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

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 civilizedsociety, consideringEarth's long biologicalhistory.

Refining odds

I'm considering theastronomicaltimeline for intelligentlifeonEarth,leading me toassign evenlower speculative odds for exoplanetslike Proxima Centauri b and TRAPPIST-1 e.

Clarifying speculativenature

I’m crafting a simplified chart with arbitrarypercentages, clearly noting the speculativenature and lack of scientific data, while considering the target audience'sbasic understanding of the topic.

Mappingout speculative odds

I’m charting arbitrarypercentages for exoplanets, clarifying their speculativenature, and ensuring the datais accessible foryoung audiences with minimal scientific detail.

Crafting a chart

I’m creating amarkdowntable with speculativepercentages forthe likelihood of civilizedlifeon exoplanets, emphasizing their purely theoreticalnature and considering the understandinglevel of an 8-year-old.

Integrating speculative analysis

I’m mappingout amarkdown chart with speculativepercentages forthe likelihood of a civilizedsocietyon exoplanets, mindful of thecomplexity and simplifying for an 8-year-old's understanding.

Assessinglikelihoods

I’m piecingtogethermarkdown for exoplanets, noting Proxima Centauri b'sreduced civilizedlife chance due to thered dwarf's activity. This inclusionhighlights the speculativenature of the analysis.

Piecingtogether speculative odds

I’m detailing amarkdown chart for audience-friendly exoplanetlikelihoods, considering environmental challengesand adding a disclaimer about the speculativenature and lack ofevidence.

Piecingtogether

I’m leaning towards Proxima Centauri b forits proximity and silentstar, butI’lladd a speculative chart ranking nearby exoplanets, noting their advancedcivilizations' hypotheticallikelihood.

Assessingcivilization probabilities

I'm emphasizing the slow emergence of intelligentlifeonEarth, which suggests that the odds ofany habitableplanet developing acomplexcivilization might beaslowas a fewpercent.

Belowis a very speculative chart thatbasedon what we know aboutEarth’s long, windingpath fromsimplelife to a “civilizedsociety” and our limited observations of nearby exoplanets—gives somefun,made‑uppercentage chances for a few of our best candidate exoplanets. Remember: Scientists havenot yetfoundany proof oflife (let alone advancedcivilizations)onany exoplanet. Thesenumbers are just playful estimates to helpyou think about theideas!

Speculative Chances of Finding an AdvancedCivilizationon Nearby Exoplanets

Exoplanet EstimatedLikelihood of a CivilizedSociety

Proxima Centauri b ~2%

TRAPPIST-1 e ~1.5%

TRAPPIST-1 f ~1%

TRAPPIST-1 g ~1%

LHS 1140 b ~0.5%

HowDid We (Very Roughly) Guess TheseNumbers?

Earth’s Example:

OnEarth,life beganassimple single‑celled organisms and took billions of years to evolve into a species that builtcomplex societies. This longjourney suggests that—even if aplanetis in the “habitablezone” (where liquid water could exist)—developing an advanced, civilizedsociety might be rare.

Nearby Exoplanets:

Proxima Centauri b:

Thisis the closest exoplanet to us. Even thoughitsstar (Proxima Centauri)is ared dwarf that sometimes sendsout strongflares (which might harmlife),its closeness makesitone of ourmost interesting candidates. That’swhy we giveit a slightly higher guess (~2%).

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

Theseplanets are part of agroup orbiting a verycoolstar. Their environments might be challenging (for example, they could be tidally locked, meaningone sidealwaysfaces thestar), so the chance of acomplex, advancedcivilization might be abitlower.

LHS 1140 b:

Thisplanetis promising in some ways butis alittle fartherawayand around a dimmerstar, so our playful estimateis evenlower.

AFinalNote

All of thesepercentages are extremely rough guessesbasedon whatlittle we understand about the conditions forlife andintelligence. Scientists useideaslike the Drake Equation to think about these chances—but until we have concreteevidence, thesenumbers remain just forfun and imagination.

Enjoy exploring theseideas—and remember, spaceis full of mysteries waiting to be discovered!




あなた:

Please examine the Drake Equationitself and see if this euqationis acculate ormore opition in the equationyouwill use

ChatGPT

Reasoned about the Drake Equationを6 秒行う

re-examining the Drake Equation

evaluating the Drake Equation'svalue

Clarifying the Drake Equation

OK, let me see. The Drake Equationisn't a precise formula;it'smore of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrialcivilizations.

Assessing the Drake Equation

Thinking through the Drake Equation, I’m evaluatingits conceptualnature,its uncertain parameters, andits criticism to concludeonits reliabilityas an accurate predictivemodel.

Understanding the Drake Equation

I’m mappingout the Drake Equationas a conceptual guide, detailingits parameters, which are oftenbasedon estimates or opinions, to evaluateits reliability for predicting extraterrestrialcivilizations.

The Drake Equationis a famous formula thatwas created to help scientists think about the manyfactors involved in estimating thenumber of detectable extraterrestrialcivilizations in ourgalaxy. However, when welookat the equation closely, we see thatitismore of a conceptualframework or heuristictool than a precise, predictive formula.Let’sbreak downwhy:

The Drake Equation

The equationis usually writtenas:

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 averagerate ofstar formationper year in ourgalaxy.

𝑓

𝑝

f

p

: The fraction of thosestars that haveplanetary systems.

𝑛

𝑒

n

e

: The averagenumber ofplanets that could potentially supportlifeperstar withplanets.

𝑓

𝑙

f

l

: The fraction of thoseplanets wherelife actually develops.

𝑓

𝑖

f

i

: The fraction ofplanets withlife where intelligentlife evolves.

𝑓

𝑐

f

c

: The fraction ofcivilizations that develop technology that releases detectablesignals into space.

𝐿

L: The length oftime suchcivilizations release detectablesignals.

Why the Drake EquationIsMore of a Guideline Than a Precise Formula

Uncertain Inputs:

Well-Known Parameters:

Somefactors,like

𝑅

R

(star formationrate) and

𝑓

𝑝

f

p

(fraction ofstars withplanets), have become better known through modernastronomy.

Highly SpeculativeFactors:

The parameters related to the development oflife andintelligence

𝑓

𝑙

f

l

,

𝑓

𝑖

f

i

,

𝑓

𝑐

f

c

, and

𝐿

L—arebasedon very limited data. For example,Earthis theonlyplanet we know wherelifehas developed, so we have no way to compare or derive a statistically robust estimate for thesefactors. This means that thevalues chosen for these parameters are largely subjective estimates or educated guesses.

Wide Ranges of PossibleValues:

Because many of thesefactors are not well-constrained, ifyouchangeone of themore uncertain parameters even slightly, thefinal estimate for

𝑁

N (thenumber ofcivilizations) can varyby many orders ofmagnitude. This wide range shows that the equation canlead to very differentoutcomesbasedonpersonal or theoreticalassumptions.

Heuristic, Not Predictive:

The Drake Equationwas never meant to provide a preciseanswer. Instead,it servesas a way to organize our thinking about what conditions might be necessary for the development of extraterrestrialcivilizations.It encourages discussion about the relative importance of differentfactors andhighlights where our scientific knowledgeis limited.

Is the Drake Equation Accurate orMore Opinion-Based?

Accurate?

In thesense ofbeing a strict mathematicalmodel with well-defined inputs and predictableoutputs, the Drake Equationis not accurate.Its accuracyis limitedbythe extreme uncertainties in several ofitskey parameters.

Opinion-Based?

Many of the terms in the equation, especially those concerning theevolution oflife andintelligence, arebasedon opinion, interpretation, and the single example ofEarth. Therefore, while thestructure of the equationis logical, thenumbersyou put intoit (and hence thefinal result) are oftenmore reflective of our current opinionsand assumptions than of robust empirical data.

Conclusion

The Drake Equationis a valuabletool for framing the question of extraterrestriallife.It helps scientists and enthusiastsbreak down acomplex problem into smaller,more manageable questions. However, because several ofitsfactors are highly uncertain and subject topersonal interpretation,itismore of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of thenumber of extraterrestrialcivilizations.

Insummary, while the Drake Equationis useful for thinking about the variousfactors that mightlead to the emergence of acivilization,itsoutputs should betakenas highly speculative estimates rather than precise measurements.




あなた:

Please also consider the possiblities of non-human intelligent emrgencing from the longhistory ofSol system and nearbyplanets and see if thereisany possiblites that inonetime intelligentlife emerged in nearbyplanets and see this to the equation

ChatGPT

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

Evaluating non-humanintelligence

I'm thinking about the potential for non-human intelligentlife forms in theSol system and neighboringplanets, and how this mightfactor into the equation.

Piecingtogether possibilities

I'm thinking about how to integrate the emergence of non-human intelligentlife, possiblyonMars orEuropa, into the Drake Equation for theSol system and neighboringplanets.

Reflectingon potential

It's interesting to think about the hypothesis of intelligentlife emergingonMars orVenus, thoughEarth remains theonly knownlife-supportingplanet in thesolar system.

Considering other realms

I'm examining if intelligentlife could have emergedonplanetslikeMars,Venus, orEuropa, and how thispossibility alignswith the predictions of the Drake Equation.

Analyzing parallelevolution

Hmm, I’m thinking about how non-human intelligentlifeonMars orVenus could intersectwith theassumptions of the Drake Equation, which seems tofocussolelyonEarth-basedevolution.

Evaluatinglife exploration

I’m piecingtogether the hypothesis of non-human, advanced, intelligentlife in thesolar system.Mars,Venus, and Titan present challenges, butEuropa and Enceladus might harbor microbiallife.

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

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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 OfficeMojo 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 (ToyStory) – $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: WhenNature 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… (WhileYou Were Sleeping) – $81.1M
  15. コンゴ (Congo) – $81.0M
  16. 花嫁のパパ2 (Father of theBride 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 (TheRock) – $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 (ATime to Kill) –$108.7M
  11. ファースト・ワイヴズ・クラブ (The First WivesClub) –$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 (TheEnglish Patient) – $78.7M
  18. ブロークン・アロー (BrokenArrow) – $70.7M
  19. ビーバスバットヘッド Do America (Beavis andButt-Head Do America) – $63.1M
  20. ケーブルガイ (The CableGuy) – $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 (TheLost World: Jurassic Park) – $229.1M
  4. ライアーライアー (LiarLiar) – $181.4M
  5. エアフォース・ワン (Air ForceOne) – $172.9M
  6. 恋愛小説家 (As GoodasItGets) – $148.5M
  7. グッド・ウィルハンティング (GoodWill Hunting) – $138.4M
  8. スター・ウォーズ特別篇 (Star Warsre-release) – $138.3M
  9. ベスト・フレンズ・ウェディング (MyBest Friend’sWedding) – $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 (ConAir) –$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’sPeak) – $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’sSomething About Mary) – $176.5M
  4. バグズ・ライフ (ABug’sLife) – $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 (PatchAdams) – $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’veGot Mail) – $115.8M
  14. エネミー・オブ・アメリカ (Enemy of theState) – $111.5M
  15. プリンス・オブ・エジプト (ThePrince ofEgypt) –$101.4M
  16. 恋におちたシェイクスピア (Shakespeare inLove) –$100.3M
  17. マスク・オブ・ゾロ (TheMask 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 (TheX-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 SixthSense) – $293.5M
  3. トイ・ストーリー2 (ToyStory 2) – $245.9M
  4. オースティン・パワーズ:デラックス (AustinPowers: TheSpyWho 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 (RunawayBride) – $152.2M
  10. ブレア・ウィッチ・プロジェクト (The BlairWitch Project) – $140.5M
  11. スチュアート・リトル (StuartLittle) – $140.0M
  12. グリーンマイル (TheGreen 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 WorldIs 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 (SleepyHollow) –$101.1M

2000年

  1. グリンチ (How the Grinch StoleChristmas) – $260.0M
  2. キャスト・アウェイ (CastAway) – $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 (CrouchingTiger, HiddenDragon) – $128.1M
  13. エリン・ブロコビッチ (ErinBrockovich) – $125.6M
  14. チャーリーズ・エンジェル (Charlie’sAngels) – $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’sHouse) – $117.6M
  17. リメンバー・ザ・タイタンズ (Remember theTitans) – $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 theRing) – $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’sEleven) – $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 (SpyKids) – $112.7M
  18. ブラックホーク・ダウン (BlackHawk Down) –$108.6M
  19. プリンセスダイアリー (ThePrincess Diaries) –$108.2M
  20. バニラ・スカイ (VanillaSky) –$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: TheTwo 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 (MyBigFat GreekWedding) – $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 (AustinPowers 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 (IceAge) – $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 (TheSanta Clause 2) – $139.2M
  17. マイノリティ・リポート (Minority Report) – $132.1M
  18. ザ・リング (TheRing) – $129.1M
  19. スウィートホームアラバマ (SweetHome 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 theKing) – $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 BlackPearl) – $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 (Cheaperby 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 (AngerManagement) – $135.6M
  13. 女神継承? (Bringing Downthe 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 (FreakyFriday) – $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 (ThePassion 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 ofAzkaban) – $249.5M
  7. ポーラー・エクスプレス (ThePolarExpress) – $187.9M
  8. デイ・アフター・トゥモロー (TheDay 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 (NationalTreasure) – $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: ATrue UnderdogStory) – $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)。

Permalink |記事への反応(1) | 00:32

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2024-12-24

anond:20241223213359

ガーネットクロウの「inlittletime

Permalink |記事への反応(0) | 10:12

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