
はてなキーワード:littleとは
フェミニズムの分類が多すぎると聞いて
記述集合論(Borel階層, Projective階層, 汎加法族)
モデル理論(型空間, o-極小, NIP, ステーブル理論)
再帰理論/計算可能性(チューリング度, 0′, 相対計算可能性)
構成主義,直観主義,ユニバース問題,ホモトピー型理論(HoTT)
体論・ガロア理論
表現論
K-理論
初等数論(合同, 既約性判定,二次剰余)
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)
超越論(リンドマン–ヴァイエルシュトラス, ベーカー理論)
実解析
多変数(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
フーリエ解析,Littlewood–Paley理論, 擬微分作用素
確率解析
常微分方程式(ODE)
偏微分方程式(PDE)
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・インスタントン
エルゴード理論(Birkhoff, Pesin),カオス, シンボリック力学
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
4次元トポロジー(Donaldson/Seiberg–Witten理論)
複素/ケーラー幾何(Calabi–Yau, Hodge理論)
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
多面体, Helly/Carathéodory,幾何的極値問題
ランダムグラフ/確率的方法(Erdős–Rényi, nibble法)
加法的組合せ論(Freiman, サムセット, Gowersノルム)
彩色,マッチング,マイナー理論(Robertson–Seymour)
列・順序・格子(部分順序集合, モビウス反転)
測度確率, 極限定理, Lévy過程, Markov過程, 大偏差
統計学
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)
時系列(ARIMA,状態空間, Kalman/粒子フィルタ)
非凸最適化
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
Littleの法則, 重み付き遅延, M/M/1, Jackson網
エントロピー,符号化(誤り訂正, LDPC,Polar), レート歪み
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
機械学習の数理
量子場の数理
相転移, くりこみ, Ising/Potts, 大偏差
数理生物学
数理神経科学
データ解析
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
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
"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
ジャップって香りに飢えすぎて松茸ごときでんほってる民族だからな
他のアジアの地域は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で香辛料を使わない
香辛料が未発達
Anonymous 🇭🇰:
Itis a period of civilwar. Rebel spaceships, striking from a hiddenbase, have won their firstvictory against
「なんか日本の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。日本に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。これじゃ中国の食べ物に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な民族だ。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.
「日本の食事は何であんなに甘ったるくて味が薄いんだ?彼らは香辛料の存在を知らないのか?昔は外国と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と韓国だけだ。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….
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)。
ニューヨーク郊外で会計士を営む実家に生まれ、シラキュース大学では英米文学を専攻し、伝説的な作家デルモア・シュワルツに師事しながら、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の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年に伝説のロックバンド「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、ショッキングな歌詞と前衛的な演奏で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のプロデュースした「トランスフォーマー」で、グラムロックの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とファンク、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)の骨太の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、スラッシュメタルの大御所メタリカと共作アルバム「ルル」を作ったが、長尺でラフな演奏にメロディがほとんどない歌声が乗る(しかも一曲が長い)作品は、特にメタリカのファンから酷評された。2013年に肝臓癌で死去。
作品紹介
この詩集は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・リードの歌詞は明確、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。
テーマはショッキングなものが多いが、それが詩の構造・精神にまで侵食せず、あくまで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(楽曲のほとんどが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、自分が愛着をもち、人生の代替となる「何か」と置き換え可能な普遍性を持つ。
「ぼくは彼女がスコットランドの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な失恋の歌なのだが、最後に
と突然血なまぐさくなる。
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」
「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/おれはずっと自分の可愛い妹を愛してきた」
とストレートな愛情を歌っている(妻を歌うときにこのような率直さはない)。
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・リードは父親を憎む発言を繰り返し、生前最後のインタビューでも「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。
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な目線を感じる。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。
自分の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、不思議な浄化作用を得られる。
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・リードが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
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
https://www.youtube.com/watch?v=ZbOG-2ahx4w
(the bells)
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
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 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
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 insidewas…normal. Toonormal. Thelights were humming with a high-pitchedbuzz that drilled into my skull. The shelves were perfectly stocked. Theair smelled of cheapair freshener andsomething else…somethingsweet and hot,likeozone or burntsugar.
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.
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.
Let’sgetone fucking 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 fuckis 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。でもnow?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。
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。
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。
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。
----
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.
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.
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.
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.
----
こういうの
1.David Bowie -Little Wonder
2.Lenny Kravitz -Black Velveteen
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。
閉鎖された工場は120万平方フィートの製造工場で、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歳のときに解雇されました。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、物心ついたころから、父は毎日午前 3 時半に起きて、人口 1,200 人の田舎町から工場まで 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時間の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や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。
私の父と祖母は高校を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で結婚し、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。
私の祖母は地元の学校の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。外食するのは特別なときだけで、マクドナルドは誕生日にしか行かなかったのです。彼らは 1エーカーの菜園と数頭の牛を飼っていて、毎年夏の終わりには果物や野菜を缶詰にし、作業場の古いチェスト型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、鹿肉を冷凍していました。
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と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で教育を受け、農場の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の保全は、ウォール街や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。
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、海外から見た日本の児童ポルノが、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が必要とか、もう一度洪水にのまれろとか、本当に酷いからね。
日本の食べ物や景観に興味あるけどロリコンが酷いとか、少子化な理由がわかった、誰が日本に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。
あと日本のオタク、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。
https://x.com/Krymefull/status/1893552122995613777?t=agiPsDLO8K50M9XWP5_PUg&s=19
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を強姦するドキュメンタリーです💀
https://x.com/monjirorawstat/status/1893509615826137483?t=2fHTjfFtoBis4tRrk-WGuA&s=19
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共
6.3万いいね
Most pedophiles:Beingsecret about theiractivities.
Jap pedophiles:
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…
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、ロリコンや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
3.2万いいね
https://x.com/mainmajin/status/1893743553890697286?t=Chbu1YijfHPo-WoQll2wWg&s=19
Japanis really just a safehaven for pedophiles
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.
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。
2万いいね
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?”
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[:contents]
Before weget into the bestopeninglines,let’stalk aboutwhyyour firstmessageis so important.
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.
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Whilethe examples above are great starting points, the bestopeninglines are theones thatfeel authentic toyou.Here are sometips to helpyoucraftyour own:
Referencesomething from theirprofile—aphoto, a hobby, or ashared interest.It showsyou’re payingattention and not just copying and pasting.
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“Hey” or “What’s up?” might be easy, but they’re also forgettable. Put in alittle effort to standout.
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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.
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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.
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.
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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
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.
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.
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.
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.
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.
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.
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 that—basedon 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%
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.
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%).
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.
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
OK, let me see. The Drake Equationisn't a precise formula;it'smore of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrialcivilizations.
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 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:
𝑅
∗
R
∗
𝑓
𝑝
f
p
(fraction ofstars withplanets), have become better known through modernastronomy.
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.
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.
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.
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.
I'm thinking about how to integrate the emergence of non-human intelligentlife, possiblyonMars orEuropa, into the Drake Equation for theSol system and neighboringplanets.
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.
Hmm, I’m thinking about how non-human intelligentlifeonMars orVenus could intersectwith theassumptions of the Drake Equation, which seems tofocussolelyonEarth-basedevolution.
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.
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
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.
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.
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.
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.
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.
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.
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 that—basedon 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%
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.
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%).
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.
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
OK, let me see. The Drake Equationisn't a precise formula;it'smore of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrialcivilizations.
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 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:
𝑅
∗
R
∗
𝑓
𝑝
f
p
(fraction ofstars withplanets), have become better known through modernastronomy.
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.
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.
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.
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.
I'm thinking about how to integrate the emergence of non-human intelligentlife, possiblyonMars orEuropa, into the Drake Equation for theSol system and neighboringplanets.
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.
Hmm, I’m thinking about how non-human intelligentlifeonMars orVenus could intersectwith theassumptions of the Drake Equation, which seems tofocussolelyonEarth-basedevolution.
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.
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の定番ジャンルの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。
ほ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」
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。
順位や金額は、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。
上記はあくまで「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)。