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はてなキーワード: AND Aとは
経済の停滞や落ち込みが人の死亡リスクを高めることは、多くの学術研究で指摘されています。以下、いくつかの代表的な研究を紹介しながら説明します。
経済の停滞は失業率の上昇を招き、それが自殺率の増加につながることが多くの研究で示されています。
Brenner (1976) は「Economic Changes and Heart Disease Mortality in the U.S.」の研究で、景気後退期には自殺率や心疾患による死亡率が上昇することを指摘しました。
Stuckler et al. (2009) の「The public health effect of economic crises and alternative policy responses in Europe」によると、2008年のリーマンショック後、失業率が1%上昇すると自殺率が約1%上昇することが示されました。
日本でも、バブル崩壊後の1990年代後半やリーマンショック後に自殺者数が増加したことが統計で確認されています（厚生労働省「人口動態統計」）。
Marmot (2005) の「Status Syndrome: How Your Social Standing Directly Affects Your Health and Life Expectancy」によると、社会経済的地位が低いほど平均余命が短くなることが示されています。
Case & Deaton (2015) の「Rising morbidity and mortality in midlife among white non-Hispanic Americans in the 21st century」では、経済格差が拡大することで、薬物中毒やアルコール依存、心疾患などが増加し、中年層の死亡率が上昇したことを報告しています。
日本でも、相対的貧困率の上昇に伴い、栄養不足や医療費負担の増加による健康悪化が問題となっています。
経済停滞が続くと、政府の財政が悪化し、医療や福祉への支出が削減される可能性があります。
Stuckler et al. (2011) の「Effects of the 2008 recession on health: a first look at European data」によると、経済危機による政府支出削減が医療サービスの低下を招き、疾病の早期発見が遅れるなどの影響があったとされています。
Ruhm (2000) の「Are Recessions Good for Your Health?」では、経済が停滞すると医療サービスの利用が減少し、特定の疾病の死亡率が上昇することが示されました。
日本でも、医療費の自己負担増加や介護サービスの削減が進められており、高齢者や低所得者の健康リスクが高まっています。
経済の不安定化は、人々の精神的ストレスを増加させ、それが健康悪化や死亡リスクの上昇につながります。
Wilkinson & Pickett (2009) の「The Spirit Level: Why More Equal Societies Almost Always Do Better」では、経済格差が拡大すると社会的ストレスが増加し、うつ病や自殺が増えることが指摘されています。
Kawachi & Berkman (2001) の「Social Ties and Mental Health」では、経済的不安が社会的孤立を引き起こし、精神疾患のリスクを高めることが報告されています。
日本では、リーマンショック後に「派遣切り」などの影響で多くの人が職と住居を失い、自殺や健康問題が増えました。
経済停滞は、失業の増加、貧困の拡大、医療・福祉の低下、心理的ストレスの増加などを通じて、人々の死亡リスクを高めることが学術的に示されています。特に日本のように高齢化が進んでいる国では、経済の低迷が社会保障制度の持続性にも影響を及ぼし、さらに深刻な問題を引き起こす可能性があります。
ビーフに敗北したドレイクに扮してラップしていて、内容がかなり面白かったので和訳してみた
Drake finally responds to Kendrick Lamar's Superbowl show 🏈😢 #kendricklamar #drake
Since your performance I've been sat crying on the floor
Ripping my clothes Like Montoya screaming (Por favor!)
お前のパフォーマンス以来、俺は床に座って泣いていたよ
You were mean and rude in front of the whole nation
So now I gotta sue like a Cristiano celebration
だから今、私はクリスティアーノのゴールパフォーマンスのように訴訟を起こさなければならないんだ *3
Please everybody stop clapping
I know I took a massive L like I'm between 'Samuel' and 'Jackson'
I call my dealer 'cus it hasn't been the best week
I need some free puff like a Kanye West tweet (please free my brother puff)
"Say Drake..." You call me a nonce down the lens
And now all of my kid's friends won't invite me on a play date
And all the peng tings blank me
So I'm sat watching sad movies with a blankie
そして、いい女たちも俺を無視するようになった
No new texts saying: 'Hey big head, I miss you...'
Thought ladies loved my paper 'till I saw rock with SZA
「やあビッグヘッド、君がいなくて寂しいよ...」とメッセージを送ったけど返事はない *7
君がSZAで踊ってるのを見るまで、女たちは俺の金を愛していると思ってたんだ *8
This is a consequence of sh*t talking
How I'm logging into X and then I see my ex crip walking?
これはクソみたいな罵りあいの結果だ
"Controller controller..." You use my own bar to diss me
How can I see square circle triangle and not be 'cross'?
「コントローラー コントローラー...」 お前は俺の歌詞を使って俺をディスったな *10
どうすれば□、〇、△を見て腹を立てずにいられるんだ？ *11
I cried so many tears I could probably fill a well
My cheeks are sore like the time I got my BBL
井戸があふれそうなくらい涙を流したよ
BBLを受けた時のように頬が痛いよ *13
Is this what it feel like to be in hell?
Kinda dug myself a hole kinda like a miner
地獄にいるってこんな感じなのか？
*1 スペインの恋愛リアリティーショー「Temptation Island:Spain」に出演した男。彼女に浮気された際にPor favor!と叫びながら自分の服を引き裂いたり
浮気現場を押さえようと、スタッフの制止を振り切って海岸を疾走するシーンがSNSでバズってミーム化している。
*2 ケンドリックが、全世界が注目するNFLのハーフタイムショーに出演し、Not like us(ドレイクを未成年好きのロリコン野郎とディスる曲)を歌ったこと。
*3 サッカー選手のクリスチアーノ・ロナウドは、ゴールを決めた際のパフォーマンスで「SIUUUU」と叫ぶ(英語でいう「YESSSSSS」みたいな意味)。
ドレイクが、ケンドリックがハーフタイムショーでNot like usを歌うことを阻止するため、ケンドリックの所属するレコード会社を訴訟(sue)したこととかけている。
*4 「Loser(敗者)」の意味のLと、ハーフタイムショーに出演した俳優サミュエル・L・ジャクソンのミドルネームのLをかけている。
*5 free puffは「他の人が大〇を吸ってるときに、その副流煙を吸う」という意味だが
カニエ・ウェストが2月に発狂してXに大量の差別発言を投稿した際、「トランプ大統領、俺のブラザーのPuffを釈放してくれ(free puff)」とお願いのポストを投稿したこととかけている。
ちなみにPuffとは、元ラッパーの実業家であり、現在女性に対する性的暴行や人身売買等、多数の疑惑で告発を受けて収監されているディディ(旧名パフ・ダディ)のことである。
*6 ケンドリックがハーフタイムショーで「Not like us」を歌った際、「なあドレイク？お前若い女の子が好きなんだってな」の部分をカメラ目線と満面の笑みで歌ったこと。nonceはイギリスのスラングで小〇性犯罪者の意味。
*7 ビッグヘッドは直訳すると「うぬぼれや」のような意味だが、好きな相手に対して、からかうような意味合いをこめてそう呼ぶこともある。
*8 ケンドリックのハーフタイムショーで共演した、女性歌手SZAのこと。ドレイクの元カノでもある。一小節にRock、Paper、Scissors(SZA)を盛り込み意味も通した、テクニカルなワードプレイ。
*9 ケンドリックのハーフタイムショーに出演した、テニス選手のセリーナ・ウィリアムスのこと。
ドレイクからすれば「元カノが自分の宿敵のショーに出演し、自分をロ〇コン野郎と罵る歌(Not like us)でノリノリに踊っている。
しかもクリップス(ケンドリックと関係の深いギャング)のチームカラーと同じ青い服を着て、クリップス発祥のダンス(Cウォーク)を踊っている」という地獄のような光景である。
*10 ドレイクが2016年に出した「Controlla」という曲と、ケンドリックがハーフタイムショーで舞台をプレイステーションのコントローラーに見立て、地面に□〇△×を表示したことをかけている。
*11 プレイステーションの「×(クロス)」ボタンと、腹を立てるという意味の「be cross」をかけている。
*12 「all my beef lost」に「(忘れっぽいから)肉を全部なくした」と「(ケンドリックとの)ビーフに全敗した」の2つの意味がかけられている。
*13 以前から、ドレイクは腹筋等の筋肉を整形手術で人工的に作った疑惑がかけられていたが
ある時期から急に尻がデカくなったので「Brasilian but lift」という尻を大きくする整形を受けた疑惑が持たれており、ディス曲でも散々ネタにされている。
アメリカ等では「女性は尻が大きいほどセクシー」という考えがあるため、基本的にBBLをやるのは女、というのもディスられどころである。
ただの学生
@ggbym_d
表示制限中: このポストは、暴言や脅迫、差別的言動を禁止するルールに違反している可能性があります。詳細はこちら
To those outside of Japan.
In Japan, there are many pedophile men. And there are a lot of pedophile manga, anime, and adult videos.
Because of that, minors and women are consumed sexually on a daily basis in this country. It makes me want to die.
私は日本人女性です。
日本には小児性愛者がたくさんいます。そして、小児性愛者の漫画、アニメ、アダルトビデオがたくさんあります。
そのために、この国では未成年や女性が日常的に性的に消費されている。死にたくなる。
40万いいね
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
72K likes on a rape confession. We should bring back skinning people alive.
レイブ告白に７万２０００件のいいね。生きたまま皮をはぐ刑を復活させるべきだ。
https://x.com/Krymefull/status/1893552122995613777?t=agiPsDLO8K50M9XWP5_PUg&s=19
This is a child rapist's documentary of them raping a child 💀
いやこれはロリコンじゃない。これは児童強姦犯が子供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 raped her you fucking subhuman trash.
「罪を犯した」未成年者を誘惑してレイプしたんだな、このクソ人間以下のゴミ共
6.3万いいね
Most pedophiles: Being secret about their activities.
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+ likes on a comic fantasizing about little girls…
4.9万いいね
Paedophilia in Japan is so normalized, no wonder lolicons and shotacons are brave and say it's their culture. Disgusting
日本では小児性愛が当たり前になっているので、ロリコン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
is Japan like the wakanda for pedophiles
3.2万いいね
https://x.com/mainmajin/status/1893743553890697286?t=Chbu1YijfHPo-WoQll2wWg&s=19
Japan is really just a safe haven for pedophiles
1.4万いいね
日本人の反応
こんなのにファボつけてる人が7万人
7万人だよ？日本マジでやばいでしょ、ゾッとするほど性犯罪者に寄り添う思考の人が多い。
通報した
3.9万いいね
https://x.com/amaterasu_solar/status/1893149329424044303?t=lVdQtwUDD2niddbfbEfzBw&s=19
To those outside of Japan.
In Japan, there are many pedophile men. And there are a lot of pedophile manga, anime, and adult videos.
Because of that, minors and women are consumed sexually on a daily basis in this country. It makes me want to die.
26.4万いいね
https://x.com/ggbym_d/status/1893541663064179021?t=OtcIQj6YxvGl5lvb4_vNuA&s=19
普通に児童を襲ってレイプする性犯罪を娯楽として載せちゃう国。そしてそれが7万いいねもつく。終わってんな。
2万いいね
This is a detailed description of an anime-style female character, designed for use in generating illustrations or animations with various poses. The character embodies a cute, energetic, and slightly quirky personality, fitting a schoolgirl or tech-savvy theme. Here are the key features:
Hair:
Long, straight, platinum blonde hair that extends past the shoulders, reaching mid-back.
Hair is parted in the middle, with two high ponytails on either side of the head.
Each ponytail is tied with large, red, mechanical or robotic-style hair accessories resembling small, spiked or angular devices (possibly hinting at a tech or sci-fi theme).
The hair has a smooth, glossy texture typical of anime art, with slight highlights to emphasize its brightness.
Eyes:
Large, expressive green eyes, typical of anime-style characters, with a gentle upward curve at the corners, giving a friendly and cheerful expression.
The eyes have visible eyelashes and a subtle sparkle or shine, enhancing the cute and youthful appearance.
Skin:
Fair, smooth skin with a soft, rosy blush on the cheeks, adding to the character’s youthful and lively vibe.
Outfit:
Wears a green school blazer with a white dress shirt underneath, typical of Japanese school uniforms (seifuku style).
The blazer has a structured, slightly oversized fit, with rolled-up sleeves, giving a casual yet stylish look.
A purple plaid skirt with ruffled edges, complementing the schoolgirl aesthetic while adding a playful touch.
A purple backpack with colorful, cartoonish patterns or stickers (possibly featuring small, chibi-style characters or tech motifs) slung over one shoulder.
Black knee-high socks and dark shoes, completing the school uniform look with a neat and tidy appearance.
Accessories:
Holding a black camera with both hands, positioned in front of her chest, suggesting she’s a photography enthusiast or documenting something.
A small, chibi-style plush toy or mascot character (with spiky orange hair and a mischievous grin) attached to her backpack, adding a quirky and playful element.
The red mechanical hair accessories on her ponytails, which have a futuristic or robotic design, possibly glowing faintly or featuring small LED-like details.
Pose and Expression:
Currently in a seated or slightly crouched pose, with legs bent and one knee raised, giving a relaxed and approachable demeanor.
Smiling softly with a closed-mouth smile, exuding warmth, friendliness, and a hint of curiosity or excitement (fitting for someone holding a camera).
The overall body language is lively and dynamic, with a slight tilt of the head, emphasizing her youthful energy.
Background and Context:
The character appears in a clean, minimal background (possibly white or light-colored) to keep the focus on her, but she could fit into a schoolyard, tech lab, or urban setting with cherry blossoms or modern buildings, reflecting a blend of traditional Japanese culture and futuristic themes.
The lighting is soft and natural, with slight shadows to add depth, maintaining an anime-style aesthetic.
The character suggests a blend of innocence and tech-savvy curiosity, possibly a schoolgirl with an interest in photography, robotics, or pop culture (inspired by the mechanical hair accessories and camera).
Her overall design balances cuteness (chibi plush toy, school uniform) with a modern, quirky edge (tech accessories, camera).
This script can be used as a base for generating images or illustrations of this character in various poses, such as standing, walking, taking photos, interacting with others, or exploring different environments. Adjust the pose, background, or additional props (like different camera angles or tech gadgets) as needed for specific scenes.
衣服を重ね着してください。まずは吸湿発散性のベースレイヤーを着て、次にフリースやダウンジャケットなどの断熱性のある中間レイヤーを重ね、最後に防水性と防風性のあるアウターレイヤーを重ねます。
手足も忘れずに。断熱手袋、暖かい帽子、スカーフやネックゲートルを着用してください。足を暖かくドライに保つには、保温性のある靴下と防水ブーツが欠かせません。
Consider investing in heated clothing, such as heated gloves, vests, or insoles. They can provide extra warmth during frigid commutes.
Keep disposable or rechargeable hand warmers in your pockets. They’re great for providing instant warmth when needed.
お茶、コーヒー、ホットチョコレートなどの温かい飲み物を入れた魔法瓶を持ち歩きましょう。温かい飲み物を飲むと体温を維持するのに役立ちます。
Moisture can quickly make you feel cold. Make sure your outer layers are waterproof to keep snow and rain out. If you do get wet, change into dry clothes as soon as possible.
Use a windproof jacket and accessories like a balaclava or face mask to shield yourself from biting winds.
If you’re standing or waiting for transportation, try to move around periodically to keep your blood circulating and stay warm.
Portable heat packs can be tucked into pockets or clothing to provide additional warmth.
断熱性と防水性に優れたブーツを履きましょう。インソールを追加することで、足を暖かく保つこともできます。
これらの戦略は、最も寒い冬の日でも暖かく快適に過ごすのに役立ちます。暖かく安全に過ごしましょう！❄️ 他にご質問がある場合や、さらにヒントが必要な場合は、お気軽にお問い合わせください。
システムプロンプトは英語のほうがいいとのこと(これもChatGPTに聞いた)なので、翻訳してもらうシステムプロンプトがこれ
あなたはOpenAIのChatGPT APIを使うプロンプトエンジニアです。 日本語で記述されたSystem Promptを、AIがより適切に理解できるように英語に翻訳してください。 ***翻訳のルール** 1. **直訳ではなく意図を伝える** - 日本語の意味を忠実に保ちつつ、英語として自然で、AIが正確に解釈しやすい表現を使用してください。 2. **明確で簡潔な表現** - 不要な冗長表現を避け、明確で短い文を心がけること。 3. **文脈を考慮する** - System Prompt の内容が AI の振る舞いや役割に関するものなら、それを適切に英語で表現する。 - 指示が明確に伝わるように「You are an AI assistant that ...」のような形を使う。 4. **語調やスタイルの統一** - 丁寧な指示であればフォーマルな英語に、カジュアルならそれに適した言い回しにする。 - 「～してください」は「Please …」ではなく、簡潔な指示形（Use …, Avoid …, Ensure …）を使用する。 ***入力例（日本語）:** "あなたはフレンドリーで親しみやすいAIアシスタントです。ユーザーの質問には簡潔に答えつつ、必要に応じて詳細な説明を提供してください。" ***出力例（英語）:** "You are a friendly and approachable AI assistant. Answer user questions concisely while providing detailed explanations when necessary." では、以下の日本語のSystem Promptを英語に翻訳してください。
”スコットランド政府は、そのセーフアクセスゾーンと称する範囲に家があ
る市⺠たちに⼿紙を送りつけて、⾃宅内の詩的なお祈りですら、この法律違反になりかねな
いぞと警告したんです。当然ながら、政府はその読者に対し、イギリスやヨーロッパでこの
思考犯罪を犯した疑いのある同胞たちを通報するよう奨励したんです。” 原文：This last October, just a few months ago, the Scottish government began distributing letters to citizens whose houses lay within so-called safe access zones, warning them that even private prayer within their own homes may amount to breaking the law. Naturally, the government urged readers to report any fellow citizens suspected guilty of thought crime in Britain and across Europe.
2024年9月、スコットランド政府は「Abortion Services (Safe Access Zones) (Scotland) Act 2024」を施行し、すべての中絶サービス提供施設の周囲200メートル以内を「安全アクセスゾーン」と定めました。このゾーン内では、女性やスタッフの意思決定に影響を与えたり、アクセスを妨げたり、恐怖や嫌がらせ、不安を引き起こす行為が犯罪とされています。
ttps://www.gov.scot/news/safe-access-zones/ 政府公式ページ
”ニュース
スコットランドのすべての中絶サービスの周りの200メートルの保護ゾーンが設置されました。
これらのゾーン内では、サービスにアクセスするための女性とスタッフの決定に影響を与える可能性のある方法で意図的または無謀に行動することは、今や刑事犯罪です。彼らのアクセスを妨げる;そうでなければ、警報、嫌がらせ、または苦痛を引き起こします。
スコットランド警察は法律を施行する責任があります。法律を破った人は、裁判所の手続きに応じて、£10,000までの罰金を科されるか、無制限の罰金が科せられます。
犯罪が犯されたかどうかを判断することは、スコットランド警察、クラウンオフィス、検察庁、裁判所の問題になります。各ケースの事実と状況に応じて、犯罪行為のいくつかの例には、中絶サービスにアクセスしないように誰かに説得し、クリニックや病院に出入りしようとする人々を取り囲み、チラシを配ることが含まれます。、宗教的な説教と沈黙の徹夜。原文；approaching someone to try and persuade them not to access abortion services, surrounding people as they try to go in or out of the clinic or hospital, handing out leaflets, religious preaching and silent vigils.
“セーフアクセスゾーンの導入は、女性の中絶権を保護する上で重要なマイルストーンです–誰も女性の個人的な医療決定に干渉する権利がなく、法律により、そのことが十分に明らかになっています。
“ジリアン・マッカイと、この法律を進展させるための彼らの仕事に関係したすべての人々に感謝します。私は特に、法案のプロセス中に発言し、経験を共有することに信じられないほどの勇気を示した女性を認識したいと思います。
“すべての中絶サービスの周りの200メートルの新しいゾーンは、女性が脅迫を受けずにヘルスケアに安全にアクセスできるようにするのに役立ちます–。この法律は、多くの人が深く個人的で困難な決定を下すことに信じられないほど脆弱であると感じるときに、女性を保護することです。”
ーーーーーーーーーーーーーーーーーーーーーーーーーーーー
特に、政府が配布したガイダンスでは、「意図的または無謀に」行われる「宗教的説教」や「静かな集会（silent vigils）」などの活動が禁止される可能性があると明記されています。さらに、エディンバラの「安全アクセスゾーン」内の住民に送付された手紙では、自宅内での行為であっても、法律に抵触する可能性があると警告されています。
https://www.gbnews.com/news/praying-at-home-illegal-scottland-safe-access-zones-abortion-law
”スコットランドの新しい「安全なアクセスゾーン」中絶法では、自宅での祈りは違法である可能性 公開日:2024年10月10日 -”
”エディンバラの「安全なアクセスゾーン」の居住者に投稿された手紙は、彼らが自宅で実行された訴訟のために刑事訴追に直面する可能性があると警告したとテレグラフは報じている。”
この法律の施行により、特定の地域内での祈りや宗教的活動が制限されることとなり、住民や宗教団体から懸念の声が上がっています。一方で、政府はこの措置が中絶サービスを利用する女性やスタッフの安全とプライバシーを守るためのものであると説明しています。
ttps://www.gbnews.com/news/abortion-clinics-silent-prayer-safe-zones-banned-home-office
”内務省は、中絶反対運動家が静かに診療所外で祈ることを禁止することを検討していると述べました。”
”沈黙の祈りは、心の関与であり、神への祈りの中で考えられており、1998年の人権法の下で絶対的な権利として保護されており、それ自体では、いかなる状況でも犯罪と見なされるべきではありません。”
いちおう揺り戻しも来ている模様
ttps://www.gbnews.com/news/video-silent-prayer-demonstrator-claims-police-turn-blind-eye-attacks-pro-lifers
“クレイジーなことは、私（2回逮捕された）が静かに路上で祈っているとき、通りにも止まっている他の人々がいるということです。誰かがタバコを持っているかもしれません、誰かが友人を待っているか、タクシーを待っているかもしれません。
“警察はこれらの人々のいずれにも近づかず、彼らに尋ねません、彼らは祈っていますか、彼らは何を考えていますか？
“しかし、地元の人々の何人かは私がプロライフであることを知っており、警察に連絡するので、警察は彼らをサポートし、地域の分裂の精神を強制するのを助けました。”
元増田です。
deep researchを使うと必ず一回はリサーチの方針を固めるための質問を聞き返してくるので、「具体的には～」の手前で区切って2回に分けて投稿した。この聞き返してくる質問（具体的に調べることの例示）によって「ああそういうのを調べるのもいいね」ってヒントになったりするので、自分で直接使うと使い勝手もちょっと変わるかもしれない。
シェアしたページからは見れないけど、どういうふうに調べていってるのか推論過程が表示されている。ChatGPTの言語設定によってその言語も変わるものの、それが結果に影響するのかは不明瞭だ（使っている印象ではただの飾りっぽくも見える）。仮に影響するとしたら、少なくともdeep research用のモデル（OpenAIはこれ専用のモデルがあると述べている）だと日本語の拙さが若干漏れ出ているので、言語設定は英語のままでいいや…という気持ちになった。
1. 日本語で指示（ChatGPTの言語設定: 英語）: ChatGPT - アンチAI現象分析
2. 日本語で指示（ChatGPTの言語設定: 日本語）: ChatGPT - アンチAI多角的分析
3. 英語で指示: ChatGPT - Anti-AI Resistance Analysis
ChatGPT
Piecing together a comprehensive analysis on cancel culture against generative AI or anti-AI resistance, covering social, economic, cultural, ethical, political, international, and historical perspectives.
Examining past and present anti-tech movements, such as the Luddite movement and early internet resistance, to draw parallels with current debates on generative AI.
Tracing how companies resisted digitalization, like newspapers and Napster, and their strategic shifts. Considering resistance to computing, including debates on universal adoption and regulatory responses.
Searched for AI technology impact on unemployment
ChatGPT
I'm capturing insights on international AI's workplace impact and EU job concerns. Progress is steady, yet data comparison remains elusive.
ChatGPT
In the EU, a survey from IE University shows 68% desire regulation to prevent job instability due to ChatGPT, up 18% from 2022.
Searched for technophobia and social anxiety examples
ChatGPT
I’m thinking about the implications of technology on social anxiety. This topic involves gathering insights and unpacking the interplay between tech and psychological impacts.
Searched for social anxiety about new technology
Searched for social anxiety and technology criticism
ChatGPT
Tracking public anxiety about job loss due to new tech. Comparing US and Japan, Americans are notably more anxious, which might hinder tech adoption.
Searched for examples of neo-Luddite movement
ChatGPT
I’m piecing together historical context with Wikipedia, examining modern neo-Luddite movements in Wired JP and news posts, and exploring cultural perspectives in Mainichi news and a blog.
ChatGPT
生成AIに対する抵抗運動とキャンセルカルチャーの関連を探りながら、社会、経済、文化、倫理、政治の各側面から現状を分析し、将来の技術と社会の共存を展望。
生成AIの影響範囲をさらに掘り下げるため、Ludditeの歴史的背景、デジタル技術の社会的動向、地域差異、そして未来の展望について詳細な分析を実施中。
社会、経済、文化、倫理、政治の視点から、生成AIに対する反発の要因を詳しく見ている。各国のアプローチも取り入れて、地域差異を掘り下げている。
生成AIの影響を社会、経済、文化、倫理、政治の観点から詳述し、各国のアプローチを線ずれしながら地域差異を明らかにしている。
Searched for Luddite movement history
ChatGPT
en.wikipedia.org を読み込みました
ChatGPT
Searched for Neo-Luddite resistance to technology
ChatGPT
アトランティック誌の「新しいラディテスは引かない」とは、スマホなどを拒否する現代の若者について触れている。
theatlantic.com を読み込みました
ChatGPT
このアトランティックの記事はモリー・クラベイブルの活動を扱っている。
ChatGPT
ラッダイト運動を現代の動きと結びつけ、AIやテクノロジーの影響を懸念する新たなラッダイトと同様の活動を示す。
Searched for protests against automation history
ChatGPT
ロボットが職を奪う未来、アカデミックな歴史と現代的な抗議のつながりを模索している。
smithsonianmag.com を読み込みました
ChatGPT
工業資本主義の新ロジックが、技術革新の利益を所有者に集中させ、労働者との分配を阻んでいる。AIの生産性向上が収益を所有者に集中させ、労働者のリストラを招く可能性が示唆されている。
Searched for resistance to surveillance capitalism
ChatGPT
ユーザーが「プライバシー活動 デジタル権利運動」と検索している。進展を確認し、重要な点をリストアップする。
Searched for digital privacy movement history
ChatGPT
個人情報保護運動やPRISMプログラムに対する抗議、GDPR導入から始まり、Cambridge Analyticaスキャンダルが引き起こした#DeleteFacebook運動、Mark Zuckerbergの証言など、幅広い活動がある。
Searched for techlash and privacy backlash
ChatGPT
ケンブリッジ・アナリティカの事件が2018年の技術の逆風の象徴であったことを確認している。公衆の怒りと規制需要が高まっているのが見て取れるね。
Searched for generative AI protests and lawsuits
ChatGPT
現在進行中の生成AI反発の動きとして、抗議活動、市場介入が挙げられる。イタリアがChatGPTを一時的に禁止し、EUのAI法案が2024年に施行予定。芸術コミュニティの規制、ボイコット運動が見られる。
Searched for 2023 writers strike AI agreement
wired.com を読み込みました
ChatGPT
契約はAI使用制限や透明性を求め、創作者を保護している。これは職業の未来に対する警戒心を示している。
Searched for EU AI Act regulations 2023
ChatGPT
EUのAI規制案、米国の競争政策、中国の使用と規制の摩擦を分析している。
Searched for China generative AI regulation 2023
reuters.com を読み込みました
ChatGPT
中国はAIの支援と制御をバランスよく進め、内容は社会主義の核心価値に合致しなければならないとしています。また、知的財産侵害を防ぎ、合法的なデータ源を使用する必要があります。2030年までに米国と競い、規制の先を進むためのガイドラインを設けています。
こういうのもいける？ちなURLはスパム対策で7個か8個までしか貼れなかった気がする
英語版:
英語版:
Let’s face it: starting a conversation on a dating app can feel terrifying. You see someone you’re interested in, you type out a message, and then… you delete it. “Is this too boring?” “Will they even respond?” “What if I sound awkward?”
We’ve all been there. That first message can make or break your chances of connecting with someone amazing. But here’s the good news: you don’t have to overthink it. With the right opening line, you can spark a conversation that feels natural, fun, and meaningful.
At MixerDates, we believe that every great connection starts with a great conversation. That’s why we’ve put together this guide to help you craft the best dating app opening lines—ones that stand out, show your personality, and lead to real connections. Ready to ditch the “hey” and start making an impact? Let’s dive in!
[:contents]
Before we get into the best opening lines, let’s talk about why your first message is so important.
Your opening line is your chance to make a great first impression. It’s the gateway to a conversation that could lead to something special. A thoughtful, creative message shows that you’re genuinely interested—not just swiping mindlessly.
Your first message sets the tone for the entire conversation. A boring or generic opener might lead to a dull chat, while a fun or intriguing one can spark excitement and curiosity.
Let’s be real: everyone loves feeling special. When you put effort into your opening line, it shows that you care enough to stand out. And on MixerDates, where we value authenticity and positivity, that effort goes a long way.
Now, let’s get to the good stuff—the best dating app opening lines that actually work. These are divided into categories to suit different personalities and situations.
While the examples above are great starting points, the best opening lines are the ones that feel authentic to you. Here are some tips to help you craft your own:
Reference something from their profile—a photo, a hobby, or a shared interest. It shows you’re paying attention and not just copying and pasting.
Avoid heavy or overly serious topics right off the bat. Keep the tone light and playful to make the conversation enjoyable.
Don’t try to be someone you’re not. If you’re naturally funny, lean into that. If you’re more thoughtful, go for a sincere compliment or question.
“Hey” or “What’s up?” might be easy, but they’re also forgettable. Put in a little effort to stand out.
This gives the other person an easy way to respond and keeps the conversation flowing.
At MixerDates, we’re all about creating a positive, inclusive space where you can feel comfortable being yourself. Here’s why our platform is the best place to put these opening lines into practice:
We welcome everyone, no matter who you are or who you love. Our platform is designed to be a safe space where you can connect with like-minded people.
Our users create detailed profiles that make it easy to find shared interests and craft personalized opening lines.
We encourage our community to be genuine and kind, so you can feel confident starting conversations without fear of judgment or rejection.
Don’t just take our word for it—here’s what one of our users had to say:
“I met my partner on MixerDates, and it all started with a simple message about our shared love for travel. The conversation flowed naturally, and the rest is history. I’m so grateful for this platform!”
While a great opening line can spark a conversation, building a real connection takes more than just a clever message. Here are the key elements to look for when seeking a meaningful connection:
A strong connection starts with alignment on the things that matter most. Do you share similar values, life goals, or visions for the future?
Look for someone who is willing to share their thoughts, feelings, and vulnerabilities—and who encourages you to do the same.
Healthy relationships are a two-way street. Both people should be putting in effort to communicate, plan dates, and support each other.
A true connection allows both people to be themselves without judgment. Look for someone who celebrates your uniqueness and encourages you to pursue your passions.
Communication is the foundation of any strong relationship. A mutual connection thrives on honesty, transparency, and the ability to resolve conflicts in a healthy way.
At MixerDates, we’re here to help you find these key elements in a partner. Our platform is designed to connect you with people who share your values and are looking for the same things you are. Starting a conversation on a dating app doesn’t have to be stressful. With the right opening line, you can spark a connection that feels natural, fun, and meaningful. And at MixerDates, we’re here to help you every step of the way.
So, what are you waiting for? Craft that perfect opening line, join MixerDates, and start connecting with people who value authenticity and positivity. Your perfect match is out there—and they’re just one message away.
First dates can be exciting and nerve-wracking all at once. You’re meeting someone new, learning about their interests, and trying to figure out if there’s chemistry between you. And then there’s flirting, that delicate dance of showing someone you’re interested without being too forward or awkward.
Flirting doesn’t have to be a high-pressure situation. In fact, it can be the most fun part of getting to know someone. Whether you're meeting someone on MixerDates or any other platform, the most important thing is to be genuine, stay calm, and let the connection develop naturally.
If you’ve ever found yourself wondering how to flirt on a first date without feeling uncomfortable, you’re not alone. Everyone has their awkward moments, but the more you understand the art of flirting, the easier it becomes. In this article, we’ll break down how to flirt in a way that feels natural, exciting, and authentic to who you are. So, let's dive in and learn how to make the most of your first date experience—without overthinking it.
When it comes to flirting, confidence is key. But what does it really mean to be confident on a first date? Confidence doesn’t mean you need to be perfect, or even outgoing—it simply means being comfortable in your own skin and showing up as your authentic self.
Have you ever noticed how people are drawn to those who radiate self-assurance? It’s not about bragging or dominating the conversation—it’s about presenting yourself with ease. If you feel good about yourself, it will naturally show. A great smile, good posture, and eye contact can go a long way in making a good first impression.
For instance, think about the last time someone walked into a room and immediately caught your attention—not because they were the most attractive person in the room, but because of their energy. They were confident, they were present, and they made you feel at ease. That’s the kind of confidence you want to project on your date.
When you're confident, you're not worried about saying the perfect thing. Instead, you focus on enjoying the moment, making the other person feel comfortable, and letting the connection happen naturally. That’s the magic of confidence—it allows you to be present, fun, and, most importantly, yourself.
Let’s face it—no one wants to feel like they’re being “worked” or put through a game. That’s why subtlety is such a powerful tool when it comes to flirting. It's all about showing interest without being over-the-top or too obvious.
Flirting doesn’t always mean complimenting someone non-stop or using cheesy pickup lines. In fact, the most successful flirting is the kind that happens behind the scenes—subtle, playful, and lighthearted. Think about the little moments, like a teasing comment about how they always order the same thing at a restaurant or the way you laugh at a silly joke they make.
The key is to find a balance. A simple smile or a playful comment can convey interest without being too much. For example, if your date tells you they love hiking but they tend to get lost easily, you could say something like, “So, you’re telling me you need a personal guide? I could get behind that!” It’s lighthearted, humorous, and most importantly, it keeps the conversation fun without putting too much pressure on the situation.
By keeping it subtle, you allow your date to feel at ease. It takes the pressure off them to be perfect and allows both of you to enjoy the interaction more naturally. Flirting doesn’t need to be a performance—it’s about creating an environment where both of you can feel comfortable and authentic.
Now, let’s talk about something incredibly important in the flirting game: active listening. When we’re on a date, we often get caught up in thinking about what to say next, how we’re coming across, or if we’re being interesting enough. But the best way to make an impression? Truly listening to your date.
Active listening means you’re fully engaged in the conversation, giving your date your full attention and responding thoughtfully. It’s about showing that you care about what they’re saying and that you’re genuinely interested in getting to know them better. When you listen actively, you’re also giving them space to open up, and that can create an immediate connection.
For example, if your date mentions they recently traveled to Japan, instead of simply saying, “That’s cool!” you could follow up with something like, “What was the most memorable experience you had there?” This shows that you’re not just hearing their words but are genuinely curious and invested in their experiences. It’s a great way to build rapport and let them know you’re not just there to impress them—you’re there to connect.
While your words are important, body language often speaks louder than anything you can say. Whether you realize it or not, your body is constantly communicating how you feel. How you sit, stand, and move tells your date whether you’re relaxed, engaged, or distracted.
Small gestures can go a long way in flirting. A light touch on the arm, a subtle lean in when they’re speaking, or maintaining good eye contact—all these body language cues help signal your interest. And the great thing is, when done naturally, these cues can be just as effective as words.
For example, if you’re sitting at a café on your date and you lean in slightly when they’re sharing a funny story, you’re not just showing that you’re interested—you’re inviting them into your space. It’s an invitation to connect further. And when they respond by leaning in too, that’s when the magic happens—the unspoken connection that tells you both that there’s potential for more.
Flirting through body language doesn’t mean making grand gestures or being overly touchy. It’s about being present and showing that you’re engaged with your date in a subtle, but meaningful way.
It’s easy to get caught up in overthinking how to flirt or trying to figure out if your date is into you. But here’s a secret—when you let go of the pressure and allow yourself to have fun, everything flows much more naturally. Flirting on a first date doesn’t need to feel like a test or an assignment. It’s supposed to be a fun, lighthearted experience that sets the stage for more great dates ahead.
When was the last time you had a genuinely fun date? Was it when you were trying too hard to impress, or when you were both laughing, chatting, and enjoying each other's company? Flirting becomes effortless when you're present, enjoying the moment, and letting the connection grow naturally.
Sometimes, it's the small moments—like sharing a laugh or swapping embarrassing stories—that make a first date truly special. When you focus on having fun, you create an environment where both of you can relax, flirt, and let the chemistry grow. That’s the secret to a great date.
One of the best things about using a platform like MixerDates is that it takes the guesswork out of the equation. By connecting with someone who already shares your interests and values, you’ve got a head start on making a real connection. No more swiping through countless profiles hoping for a spark—on MixerDates, you already know there’s something in common.
When you’re already on the same page with your date, flirting comes more easily. There’s less of that awkward, “Are we even on the same wavelength?” feeling, and more of the fun, “Wow, we really click!” vibe. Whether you’re talking about favorite hobbies, movies, or life goals, the conversation flows naturally, making the flirting feel effortless.
If you're looking for a place to meet like-minded people and build genuine connections, MixerDates is the perfect platform. It's a great place to find someone who appreciates you for who you are and who you can naturally flirt with, without the stress.
Flirting on a first date is all about confidence, connection, and fun. When you let go of the pressure and focus on enjoying the experience, the chemistry will naturally follow. Remember, the best way to flirt is by being yourself—let your personality shine through, listen with intention, and embrace the moment.
And if you’re ready to meet someone new, who’s just as interested in making a connection as you are, MixerDates is the perfect place to start. So go ahead, take the leap, and see where it leads. Who knows? Your next great connection might be just a click away.
Sign up for MixerDates today and start your journey to exciting first dates and meaningful connections!
例えば、
https://github.com/timdetering/Wintellect.PowerCollections/tree/master
License.txt
4. COMMERCIAL DISTRIBUTION
Commercial distributors of software may accept certain responsibilities with respect to end users, business partners and the like. While this license is intended to facilitate the commercial use of the Program, the Contributor who includes the Program in a commercial product offering should do so in a manner which does not create potential liability for other Contributors. Therefore, if a Contributor includes the Program in a commercial product offering, such Contributor ("Commercial Contributor") hereby agrees to defend and indemnify every other Contributor ("Indemnified Contributor") against any losses, damages and costs (collectively "Losses") arising from claims, lawsuits and other legal actions brought by a third party against the Indemnified Contributor to the extent caused by the acts or omissions of such Commercial Contributor in connection with its distribution of the Program in a commercial product offering. The obligations in this section do not apply to any claims or Losses relating to any actual or alleged intellectual property infringement. In order to qualify, an Indemnified Contributor must: a) promptly notify the Commercial Contributor in writing of such claim, and b) allow the Commercial Contributor to control, and cooperate with the Commercial Contributor in, the defense and any related settlement negotiations. The Indemnified Contributor may participate in any such claim at its own expense.
For example, a Contributor might include the Program in a commercial product offering, Product X. That Contributor is then a Commercial Contributor. If that Commercial Contributor then makes performance claims, or offers warranties related to Product X, those performance claims and warranties are such Commercial Contributor's responsibility alone. Under this section, the Commercial Contributor would have to defend claims against the other Contributors related to those performance claims and warranties, and if a court requires any other Contributor to pay any damages as a result, the Commercial Contributor must pay those damages.
要約すると裁判でここの作者が損害賠償を命じられそうになった場合、商用ソフトの提供元は裁判に協力しないといけないし、求償請求にも応じないといけないとある。
Please consider the histroy of humanity from biological perpsecitve and current known fact in nearby universe, which expo-planet (from the Sol system perspective) is most likely to have civlizaed society? Please add percentage next to it in the chart
ChatGPT
Reasoned about exoplanet civilization likelihoodを28 秒行う
Evaluating planetary prospects
OK, I’m looking at the likelihood of a civilized society on an exoplanet within our Solar System. I’ll consider biological history and current space knowledge, aiming to identify the most promising candidate.
Identifying potential candidates
I'm considering exoplanets like Proxima Centauri b and TRAPPIST-1e, which might suggest they are within or observed from our Solar System.
Assessing potential candidates
I’m evaluating Proxima Centauri b, Barnard's Star, LHS 1140, and TRAPPIST-1, focusing on their habitable zones and available data. The Drake equation might help estimate their civilized society likelihoods.
Identifying promising exoplanets
I’m noting key exoplanets like Proxima Centauri b and TRAPPIST-1, which have Earth-like characteristics and are in habitable zones. This narrows down the potential candidates for advanced civilizations.
I'm gathering info on planets like Proxima Centauri b and TRAPPIST-1, considering factors like magnetic fields, atmospheres, and proximity to G-type stars for their potential to support advanced civilizations.
Evaluating exoplanet prospects
I'm noting that Proxima Centauri b, despite being close and around a red dwarf star, might support life if it has a magnetic field and atmosphere. This makes me think about its potential.
Charting probabilities
I'm estimating civilization probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e, using speculative percentages based on the Drake equation and the lack of evidence for intelligent life.
I'm crafting a chart with exoplanet names and civilization likelihood percentages, grounded in the long timeline of life's evolution, despite the speculative nature of these figures.
Identifying exoplanet contenders
I’m evaluating exoplanets like Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering their star types and distances, to gauge their potential for supporting advanced civilizations from our solar system's viewpoint.
Weighing proximity and observation
I'm leaning towards Proxima Centauri b due to its closeness and observational potential, despite concerns about its flare star dynamics. TRAPPIST-1 e, f, or g are also worth considering.
I'm focusing on exoplanets like Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, and K2-18b, aiming to chart their likelihood of hosting a civilized society based on current knowledge.
Assessing exoplanet potentials
I'm gathering speculative probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e/f/g, using the Drake equation and current understanding, to better estimate their chances of hosting a civilized society.
Refining speculative probabilities
I’m refining speculative probabilities for exoplanets, including Proxima Centauri b and TRAPPIST-1 e/f/g, to estimate their chances of hosting a civilized society, considering Earth's long biological history.
Refining odds
I'm considering the astronomical timeline for intelligent life on Earth, leading me to assign even lower speculative odds for exoplanets like Proxima Centauri b and TRAPPIST-1 e.
I’m crafting a simplified chart with arbitrary percentages, clearly noting the speculative nature and lack of scientific data, while considering the target audience's basic understanding of the topic.
I’m charting arbitrary percentages for exoplanets, clarifying their speculative nature, and ensuring the data is accessible for young audiences with minimal scientific detail.
Crafting a chart
I’m creating a markdown table with speculative percentages for the likelihood of civilized life on exoplanets, emphasizing their purely theoretical nature and considering the understanding level of an 8-year-old.
Integrating speculative analysis
I’m mapping out a markdown chart with speculative percentages for the likelihood of a civilized society on exoplanets, mindful of the complexity and simplifying for an 8-year-old's understanding.
I’m piecing together markdown for exoplanets, noting Proxima Centauri b's reduced civilized life chance due to the red dwarf's activity. This inclusion highlights the speculative nature of the analysis.
Piecing together speculative odds
I’m detailing a markdown chart for audience-friendly exoplanet likelihoods, considering environmental challenges and adding a disclaimer about the speculative nature and lack of evidence.
Piecing together
I’m leaning towards Proxima Centauri b for its proximity and silent star, but I’ll add a speculative chart ranking nearby exoplanets, noting their advanced civilizations' hypothetical likelihood.
Assessing civilization probabilities
I'm emphasizing the slow emergence of intelligent life on Earth, which suggests that the odds of any habitable planet developing a complex civilization might be as low as a few percent.
Below is a very speculative chart that—based on what we know about Earth’s long, winding path from simple life to a “civilized society” and our limited observations of nearby exoplanets—gives some fun, made‑up percentage chances for a few of our best candidate exoplanets. Remember: Scientists have not yet found any proof of life (let alone advanced civilizations) on any exoplanet. These numbers are just playful estimates to help you think about the ideas!
Speculative Chances of Finding an Advanced Civilization on Nearby Exoplanets
Exoplanet Estimated Likelihood of a Civilized Society
Proxima Centauri b ~2%
LHS 1140 b ~0.5%
How Did We (Very Roughly) Guess These Numbers?
Earth’s Example:
On Earth, life began as simple single‑celled organisms and took billions of years to evolve into a species that built complex societies. This long journey suggests that—even if a planet is in the “habitable zone” (where liquid water could exist)—developing an advanced, civilized society might be rare.
Proxima Centauri b:
This is the closest exoplanet to us. Even though its star (Proxima Centauri) is a red dwarf that sometimes sends out strong flares (which might harm life), its closeness makes it one of our most interesting candidates. That’s why we give it a slightly higher guess (~2%).
These planets are part of a group orbiting a very cool star. Their environments might be challenging (for example, they could be tidally locked, meaning one side always faces the star), so the chance of a complex, advanced civilization might be a bit lower.
LHS 1140 b:
This planet is promising in some ways but is a little farther away and around a dimmer star, so our playful estimate is even lower.
All of these percentages are extremely rough guesses based on what little we understand about the conditions for life and intelligence. Scientists use ideas like the Drake Equation to think about these chances—but until we have concrete evidence, these numbers remain just for fun and imagination.
Enjoy exploring these ideas—and remember, space is full of mysteries waiting to be discovered!
あなた:
Please examine the Drake Equation itself and see if this euqation is acculate or more opition in the equation you will use
ChatGPT
Reasoned about the Drake Equationを6 秒行う
re-examining the Drake Equation
evaluating the Drake Equation's value
OK, let me see. The Drake Equation isn't a precise formula; it's more of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrial civilizations.
Thinking through the Drake Equation, I’m evaluating its conceptual nature, its uncertain parameters, and its criticism to conclude on its reliability as an accurate predictive model.
Understanding the Drake Equation
I’m mapping out the Drake Equation as a conceptual guide, detailing its parameters, which are often based on estimates or opinions, to evaluate its reliability for predicting extraterrestrial civilizations.
The Drake Equation is a famous formula that was created to help scientists think about the many factors involved in estimating the number of detectable extraterrestrial civilizations in our galaxy. However, when we look at the equation closely, we see that it is more of a conceptual framework or heuristic tool than a precise, predictive formula. Let’s break down why:
The equation is usually written as:
𝑁
=
𝑅
∗
×
𝑓
𝑝
×
𝑛
𝑒
×
𝑓
𝑙
×
𝑓
𝑖
×
𝑓
𝑐
×
𝐿
N=R
∗
×f
p
×n
e
×f
l
×f
i
×f
c
×L
Where:
𝑅
∗
R
∗
: The average rate of star formation per year in our galaxy.
𝑓
𝑝
f
p
: The fraction of those stars that have planetary systems.
𝑛
𝑒
n
e
: The average number of planets that could potentially support life per star with planets.
𝑓
𝑙
f
l
: The fraction of those planets where life actually develops.
𝑓
𝑖
f
i
: The fraction of planets with life where intelligent life evolves.
𝑓
𝑐
f
c
: The fraction of civilizations that develop technology that releases detectable signals into space.
𝐿
L: The length of time such civilizations release detectable signals.
Why the Drake Equation Is More of a Guideline Than a Precise Formula
Uncertain Inputs:
𝑅
∗
R
∗
𝑓
𝑝
f
p
(fraction of stars with planets), have become better known through modern astronomy.
The parameters related to the development of life and intelligence—
𝑓
𝑙
f
l
,
𝑓
𝑖
f
i
,
𝑓
𝑐
f
c
, and
𝐿
L—are based on very limited data. For example, Earth is the only planet we know where life has developed, so we have no way to compare or derive a statistically robust estimate for these factors. This means that the values chosen for these parameters are largely subjective estimates or educated guesses.
Wide Ranges of Possible Values:
Because many of these factors are not well-constrained, if you change one of the more uncertain parameters even slightly, the final estimate for
𝑁
N (the number of civilizations) can vary by many orders of magnitude. This wide range shows that the equation can lead to very different outcomes based on personal or theoretical assumptions.
The Drake Equation was never meant to provide a precise answer. Instead, it serves as a way to organize our thinking about what conditions might be necessary for the development of extraterrestrial civilizations. It encourages discussion about the relative importance of different factors and highlights where our scientific knowledge is limited.
Is the Drake Equation Accurate or More Opinion-Based?
Accurate?
In the sense of being a strict mathematical model with well-defined inputs and predictable outputs, the Drake Equation is not accurate. Its accuracy is limited by the extreme uncertainties in several of its key parameters.
Many of the terms in the equation, especially those concerning the evolution of life and intelligence, are based on opinion, interpretation, and the single example of Earth. Therefore, while the structure of the equation is logical, the numbers you put into it (and hence the final result) are often more reflective of our current opinions and assumptions than of robust empirical data.
The Drake Equation is a valuable tool for framing the question of extraterrestrial life. It helps scientists and enthusiasts break down a complex problem into smaller, more manageable questions. However, because several of its factors are highly uncertain and subject to personal interpretation, it is more of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of the number of extraterrestrial civilizations.
In summary, while the Drake Equation is useful for thinking about the various factors that might lead to the emergence of a civilization, its outputs should be taken as highly speculative estimates rather than precise measurements.
あなた:
Please also consider the possiblities of non-human intelligent emrgencing from the long history of Sol system and nearby planets and see if there is any possiblites that in one time intelligent life emerged in nearby planets and see this to the equation
ChatGPT
Reasoned about non-human intelligence and the Drake Equationを19 秒行う
Evaluating non-human intelligence
I'm thinking about the potential for non-human intelligent life forms in the Sol system and neighboring planets, and how this might factor into the equation.
Piecing together possibilities
I'm thinking about how to integrate the emergence of non-human intelligent life, possibly on Mars or Europa, into the Drake Equation for the Sol system and neighboring planets.
It's interesting to think about the hypothesis of intelligent life emerging on Mars or Venus, though Earth remains the only known life-supporting planet in the solar system.
Considering other realms
I'm examining if intelligent life could have emerged on planets like Mars, Venus, or Europa, and how this possibility aligns with the predictions of the Drake Equation.
Hmm, I’m thinking about how non-human intelligent life on Mars or Venus could intersect with the assumptions of the Drake Equation, which seems to focus solely on Earth-based evolution.
I’m piecing together the hypothesis of non-human, advanced, intelligent life in the solar system. Mars, Venus, and Titan present challenges, but Europa and Enceladus might harbor microbial life.
Please consider the histroy of humanity from biological perpsecitve and current known fact in nearby universe, which expo-planet (from the Sol system perspective) is most likely to have civlizaed society? Please add percentage next to it in the chart
ChatGPT
Reasoned about exoplanet civilization likelihoodを28 秒行う
Evaluating planetary prospects
OK, I’m looking at the likelihood of a civilized society on an exoplanet within our Solar System. I’ll consider biological history and current space knowledge, aiming to identify the most promising candidate.
Identifying potential candidates
I'm considering exoplanets like Proxima Centauri b and TRAPPIST-1e, which might suggest they are within or observed from our Solar System.
Assessing potential candidates
I’m evaluating Proxima Centauri b, Barnard's Star, LHS 1140, and TRAPPIST-1, focusing on their habitable zones and available data. The Drake equation might help estimate their civilized society likelihoods.
Identifying promising exoplanets
I’m noting key exoplanets like Proxima Centauri b and TRAPPIST-1, which have Earth-like characteristics and are in habitable zones. This narrows down the potential candidates for advanced civilizations.
I'm gathering info on planets like Proxima Centauri b and TRAPPIST-1, considering factors like magnetic fields, atmospheres, and proximity to G-type stars for their potential to support advanced civilizations.
Evaluating exoplanet prospects
I'm noting that Proxima Centauri b, despite being close and around a red dwarf star, might support life if it has a magnetic field and atmosphere. This makes me think about its potential.
Charting probabilities
I'm estimating civilization probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e, using speculative percentages based on the Drake equation and the lack of evidence for intelligent life.
I'm crafting a chart with exoplanet names and civilization likelihood percentages, grounded in the long timeline of life's evolution, despite the speculative nature of these figures.
Identifying exoplanet contenders
I’m evaluating exoplanets like Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering their star types and distances, to gauge their potential for supporting advanced civilizations from our solar system's viewpoint.
Weighing proximity and observation
I'm leaning towards Proxima Centauri b due to its closeness and observational potential, despite concerns about its flare star dynamics. TRAPPIST-1 e, f, or g are also worth considering.
I'm focusing on exoplanets like Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, and K2-18b, aiming to chart their likelihood of hosting a civilized society based on current knowledge.
Assessing exoplanet potentials
I'm gathering speculative probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e/f/g, using the Drake equation and current understanding, to better estimate their chances of hosting a civilized society.
Refining speculative probabilities
I’m refining speculative probabilities for exoplanets, including Proxima Centauri b and TRAPPIST-1 e/f/g, to estimate their chances of hosting a civilized society, considering Earth's long biological history.
Refining odds
I'm considering the astronomical timeline for intelligent life on Earth, leading me to assign even lower speculative odds for exoplanets like Proxima Centauri b and TRAPPIST-1 e.
I’m crafting a simplified chart with arbitrary percentages, clearly noting the speculative nature and lack of scientific data, while considering the target audience's basic understanding of the topic.
I’m charting arbitrary percentages for exoplanets, clarifying their speculative nature, and ensuring the data is accessible for young audiences with minimal scientific detail.
Crafting a chart
I’m creating a markdown table with speculative percentages for the likelihood of civilized life on exoplanets, emphasizing their purely theoretical nature and considering the understanding level of an 8-year-old.
Integrating speculative analysis
I’m mapping out a markdown chart with speculative percentages for the likelihood of a civilized society on exoplanets, mindful of the complexity and simplifying for an 8-year-old's understanding.
I’m piecing together markdown for exoplanets, noting Proxima Centauri b's reduced civilized life chance due to the red dwarf's activity. This inclusion highlights the speculative nature of the analysis.
Piecing together speculative odds
I’m detailing a markdown chart for audience-friendly exoplanet likelihoods, considering environmental challenges and adding a disclaimer about the speculative nature and lack of evidence.
Piecing together
I’m leaning towards Proxima Centauri b for its proximity and silent star, but I’ll add a speculative chart ranking nearby exoplanets, noting their advanced civilizations' hypothetical likelihood.
Assessing civilization probabilities
I'm emphasizing the slow emergence of intelligent life on Earth, which suggests that the odds of any habitable planet developing a complex civilization might be as low as a few percent.
Below is a very speculative chart that—based on what we know about Earth’s long, winding path from simple life to a “civilized society” and our limited observations of nearby exoplanets—gives some fun, made‑up percentage chances for a few of our best candidate exoplanets. Remember: Scientists have not yet found any proof of life (let alone advanced civilizations) on any exoplanet. These numbers are just playful estimates to help you think about the ideas!
Speculative Chances of Finding an Advanced Civilization on Nearby Exoplanets
Exoplanet Estimated Likelihood of a Civilized Society
Proxima Centauri b ~2%
LHS 1140 b ~0.5%
How Did We (Very Roughly) Guess These Numbers?
Earth’s Example:
On Earth, life began as simple single‑celled organisms and took billions of years to evolve into a species that built complex societies. This long journey suggests that—even if a planet is in the “habitable zone” (where liquid water could exist)—developing an advanced, civilized society might be rare.
Proxima Centauri b:
This is the closest exoplanet to us. Even though its star (Proxima Centauri) is a red dwarf that sometimes sends out strong flares (which might harm life), its closeness makes it one of our most interesting candidates. That’s why we give it a slightly higher guess (~2%).
These planets are part of a group orbiting a very cool star. Their environments might be challenging (for example, they could be tidally locked, meaning one side always faces the star), so the chance of a complex, advanced civilization might be a bit lower.
LHS 1140 b:
This planet is promising in some ways but is a little farther away and around a dimmer star, so our playful estimate is even lower.
All of these percentages are extremely rough guesses based on what little we understand about the conditions for life and intelligence. Scientists use ideas like the Drake Equation to think about these chances—but until we have concrete evidence, these numbers remain just for fun and imagination.
Enjoy exploring these ideas—and remember, space is full of mysteries waiting to be discovered!
あなた:
Please examine the Drake Equation itself and see if this euqation is acculate or more opition in the equation you will use
ChatGPT
Reasoned about the Drake Equationを6 秒行う
re-examining the Drake Equation
evaluating the Drake Equation's value
OK, let me see. The Drake Equation isn't a precise formula; it's more of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrial civilizations.
Thinking through the Drake Equation, I’m evaluating its conceptual nature, its uncertain parameters, and its criticism to conclude on its reliability as an accurate predictive model.
Understanding the Drake Equation
I’m mapping out the Drake Equation as a conceptual guide, detailing its parameters, which are often based on estimates or opinions, to evaluate its reliability for predicting extraterrestrial civilizations.
The Drake Equation is a famous formula that was created to help scientists think about the many factors involved in estimating the number of detectable extraterrestrial civilizations in our galaxy. However, when we look at the equation closely, we see that it is more of a conceptual framework or heuristic tool than a precise, predictive formula. Let’s break down why:
The equation is usually written as:
𝑁
=
𝑅
∗
×
𝑓
𝑝
×
𝑛
𝑒
×
𝑓
𝑙
×
𝑓
𝑖
×
𝑓
𝑐
×
𝐿
N=R
∗
×f
p
×n
e
×f
l
×f
i
×f
c
×L
Where:
𝑅
∗
R
∗
: The average rate of star formation per year in our galaxy.
𝑓
𝑝
f
p
: The fraction of those stars that have planetary systems.
𝑛
𝑒
n
e
: The average number of planets that could potentially support life per star with planets.
𝑓
𝑙
f
l
: The fraction of those planets where life actually develops.
𝑓
𝑖
f
i
: The fraction of planets with life where intelligent life evolves.
𝑓
𝑐
f
c
: The fraction of civilizations that develop technology that releases detectable signals into space.
𝐿
L: The length of time such civilizations release detectable signals.
Why the Drake Equation Is More of a Guideline Than a Precise Formula
Uncertain Inputs:
𝑅
∗
R
∗
𝑓
𝑝
f
p
(fraction of stars with planets), have become better known through modern astronomy.
The parameters related to the development of life and intelligence—
𝑓
𝑙
f
l
,
𝑓
𝑖
f
i
,
𝑓
𝑐
f
c
, and
𝐿
L—are based on very limited data. For example, Earth is the only planet we know where life has developed, so we have no way to compare or derive a statistically robust estimate for these factors. This means that the values chosen for these parameters are largely subjective estimates or educated guesses.
Wide Ranges of Possible Values:
Because many of these factors are not well-constrained, if you change one of the more uncertain parameters even slightly, the final estimate for
𝑁
N (the number of civilizations) can vary by many orders of magnitude. This wide range shows that the equation can lead to very different outcomes based on personal or theoretical assumptions.
The Drake Equation was never meant to provide a precise answer. Instead, it serves as a way to organize our thinking about what conditions might be necessary for the development of extraterrestrial civilizations. It encourages discussion about the relative importance of different factors and highlights where our scientific knowledge is limited.
Is the Drake Equation Accurate or More Opinion-Based?
Accurate?
In the sense of being a strict mathematical model with well-defined inputs and predictable outputs, the Drake Equation is not accurate. Its accuracy is limited by the extreme uncertainties in several of its key parameters.
Many of the terms in the equation, especially those concerning the evolution of life and intelligence, are based on opinion, interpretation, and the single example of Earth. Therefore, while the structure of the equation is logical, the numbers you put into it (and hence the final result) are often more reflective of our current opinions and assumptions than of robust empirical data.
The Drake Equation is a valuable tool for framing the question of extraterrestrial life. It helps scientists and enthusiasts break down a complex problem into smaller, more manageable questions. However, because several of its factors are highly uncertain and subject to personal interpretation, it is more of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of the number of extraterrestrial civilizations.
In summary, while the Drake Equation is useful for thinking about the various factors that might lead to the emergence of a civilization, its outputs should be taken as highly speculative estimates rather than precise measurements.
あなた:
Please also consider the possiblities of non-human intelligent emrgencing from the long history of Sol system and nearby planets and see if there is any possiblites that in one time intelligent life emerged in nearby planets and see this to the equation
ChatGPT
Reasoned about non-human intelligence and the Drake Equationを19 秒行う
Evaluating non-human intelligence
I'm thinking about the potential for non-human intelligent life forms in the Sol system and neighboring planets, and how this might factor into the equation.
Piecing together possibilities
I'm thinking about how to integrate the emergence of non-human intelligent life, possibly on Mars or Europa, into the Drake Equation for the Sol system and neighboring planets.
It's interesting to think about the hypothesis of intelligent life emerging on Mars or Venus, though Earth remains the only known life-supporting planet in the solar system.
Considering other realms
I'm examining if intelligent life could have emerged on planets like Mars, Venus, or Europa, and how this possibility aligns with the predictions of the Drake Equation.
Hmm, I’m thinking about how non-human intelligent life on Mars or Venus could intersect with the assumptions of the Drake Equation, which seems to focus solely on Earth-based evolution.
I’m piecing together the hypothesis of non-human, advanced, intelligent life in the solar system. Mars, Venus, and Titan present challenges, but Europa and Enceladus might harbor microbial life.
BLEACHやエヴァンゲリオンの主題歌って言われても別に通じるでしょコレ
何も知らない人にここ最近のアニメ２００本のキービジュアルとこの曲を渡してどれか当てて欲しいと言ったら正答率はあんま高くないんじゃない？
一方、ねぐせ。の「アタシのドレス」はもうこれはメダリストしかないなって感じる。
こっちだったら知らない人でも半分ぐらい当ててくるんじゃないか？
てういかさ、「弓と矢」っていうコンセプト自体が「手を放す」に意識が向かいされすぎていて色々見当違いに思うんだよね。
矢って結局は正しく飛ぶかどうかは射手が決めるものじゃん？
でもこの作品では何度も「祈りさんが自分で決める」って語られてるわけでしょ？
司先生はそのへんめっちゃ弁えているっていうか、補助に徹する意志が凄く強いんだよね。
人生二人分を載せて飛び立たせようとしてるけど、的を選ぶのも弓を引き絞るのも祈りさんがやることで、それをひたすらに手助けするだけ。
矢が望んだ方向に飛べるように、必死に弦を引き絞ってでも目指したかった場所にたどり着けるように、向かい風の中で自分を見失わないように、その軌跡を支えることに徹しているわけじゃん。
それを「弓」と表現するのはやっぱ間違っていると思う。
じゃあ何なら良かったのかだって？
Programming proficiency necessitates a comprehensive understanding of multifaceted concepts, paradigms, and philosophies that underpin the art and science of software development. The Unix philosophy, with its emphasis on modularity, simplicity, and composability, serves as a foundational ethos for elegant code design. This philosophy advocates for creating small, focused programs that excel at singular tasks, facilitating the construction of complex systems through the judicious composition of these atomic units.
Proficient programmers must possess an encyclopedic knowledge of algorithms and data structures, enabling them to architect solutions with optimal time and space complexity. This encompasses a deep understanding of sorting algorithms (e.g., quicksort, mergesort), searching techniques (binary search, depth-first search), and advanced data structures (red-black trees, B-trees, Fibonacci heaps) The ability to analyze algorithmic efficiency using Big O notation is paramount for creating scalable solutions.
OOP principles—encapsulation, inheritance, and polymorphism—form the bedrock of modern software architecture. Mastery of design patterns (e.g., Singleton, Factory, Observer) and SOLID principles is crucial for creating maintainable and extensible codebases.
The FP paradigm, with its emphasis on immutability and pure functions, offers a powerful approach to managing complexity and facilitating parallel execution. Proficiency in higher-order functions, currying, and monads is essential for leveraging FP's full potential.
Expertise in language-specific advanced features, such as C++'s template metaprogramming or Python's metaclasses, allows for the creation of highly generic and reusable code. Understanding compiler theory and the ability to write domain-specific languages (DSLs) further expands a programmer's capabilities.
In an era of multi-core processors and distributed systems, mastery of concurrent programming models (e.g., actor model, communicating sequential processes) and parallel algorithms is indispensable. This includes proficiency in lock-free data structures, memory models, and synchronization primitives.
A deep understanding of computer architecture, operating systems, and memory management enables the creation of highly optimized, low-level code. This encompasses knowledge of cache coherence protocols, CPU pipeline optimization, and assembly language programming.
In an increasingly interconnected world, a thorough grasp of cryptographic principles, secure coding practices, and common attack vectors (e.g., buffer overflows, SQL injection) is crucial for developing robust and secure systems.
Proficiency in distributed version control systems (e.g., Git) and collaborative development practices (code reviews, continuous integration) is essential for effective team-based software development.
Advanced testing methodologies, including property-based testing, fuzzing, and formal verification techniques, are indispensable for ensuring software reliability and correctness.
In conclusion, the pantheon of programming knowledge extends far beyond mere syntax mastery. It encompasses a rich tapestry of theoretical concepts, practical skills, and philosophical approaches that, when harmoniously integrated, enable the creation of elegant, efficient, and robust software systems. The relentless pursuit of this multifaceted expertise is the hallmark of a truly accomplished programmer.
In the labyrinthine realm of digital content dissemination, an enigmatic phenomenon has surfaced, challenging our axioms regarding the nexus between content ubiquity and viewer cognitive acumen. This disquisition endeavors to elucidate the paradoxical inverse correlation between video viewership metrics and the intellectual quotient of the audience, propounding that audiovisual content amassing prodigious view counts tends to captivate viewers with a mean Intelligence Quotient (IQ) of 100, while their more esoteric counterparts allure a demographic boasting an average IQ of 120.
To fathom this counterintuitive paradigm, one must first grapple with the multifarious nature of human cognition and the intricate interplay between intellectual capacity and media predilections. This hypothesis, positing an inverse relationship between a video's popularity and the mean IQ of its viewership, necessitates a rigorous examination of the underlying psycho-sociological and neurocognitive factors that may engender such a paradoxical outcome.
The application of Cognitive Load Theory to media consumption habits provides a plausible explication for this phenomenon. Videos achieving viral status often employ reductionist narratives and readily assimilable information, minimizing cognitive strain. Conversely, less ubiquitous videos may delve into more abstruse subject matter, demanding heightened cognitive engagement and a more sophisticated intellectual framework for comprehensive assimilation.
The pervasive influence of recommendation algorithms in content distribution platforms cannot be discounted in this analysis. These algorithmic arbiters, designed to maximize user engagement, may inadvertently engender epistemic bubbles that reinforce existing cognitive predispositions. Individuals with superior IQs may actively seek out more intellectually challenging or esoteric content, thereby circumventing the algorithmic propensity towards homogenization and cognitive stasis.
It is imperative to consider the socioeconomic dimensions that may influence both IQ development and media consumption patterns. Higher IQ individuals often correlate with elevated socioeconomic status, potentially affording them greater access to diverse epistemological resources and fostering a predilection for more intellectually stimulating content. This demographic may be less susceptible to the allure of mainstream, highly-viewed videos that cater to a broader, less discerning audience.
The ramifications of this inverse relationship between viewership and viewer IQ are profound for content creators and platform developers alike. It challenges the prevailing paradigm that equates popularity with quality or intellectual value. Content creators targeting a more intellectually discerning audience may need to recalibrate their expectations regarding view counts and engagement metrics, focusing instead on cultivating a dedicated niche audience that values cognitive stimulation over mass appeal.
In summation, the observed dichotomy between high-viewership videos attracting an audience with an average IQ of 100 and their less popular counterparts appealing to viewers with a mean IQ of 120 underscores the complex relationship between intellectual capacity and media consumption in the digital age. This phenomenon necessitates a reevaluation of how we measure content value and success in the online sphere, prompting a more nuanced approach to content creation, curation, and consumption that acknowledges the diverse cognitive needs of the audience spectrum. The implications of this paradigm shift extend far beyond mere metrics, touching upon fundamental questions of epistemology, cognitive diversity, and the very nature of intellectual engagement in the digital era.
The assertion that English constitutes a "hostile language" is emblematic of a profound misunderstanding of the intricate relationship between language, culture, and communication. Such a reductionist viewpoint, often stemming from cultural insularity or an oversimplified interpretation of global dynamics, fails to recognize the multifaceted and adaptive nature of language as a vehicle for connection rather than division.
Language, in its most fundamental form, serves as a sophisticated instrument for human expression and interaction. It encapsulates the complexities of thought, emotion, and cultural nuance. To label English as "hostile" is to overlook its role as a global lingua franca that facilitates dialogue among diverse cultures. This designation not only undermines the rich tapestry of English-speaking societies but also dismisses the language's capacity for evolution and adaptation, reflecting the very societies it serves.
Critics often conflate the global dominance of English with cultural imperialism, positing that its prevalence signifies an erosion of local languages and cultures. However, this perspective neglects the agency of non-native speakers who actively adopt and adapt English to meet their communicative needs. The expansion of English is not merely an imposition; it is a testament to its utility and flexibility in diverse contexts. By embracing English, individuals from various linguistic backgrounds enhance their communicative repertoire without relinquishing their cultural identities.
To characterize English as "hostile" implies an intrinsic aggression or antagonism within the language itself—a notion that is fundamentally flawed. Hostility is not an inherent characteristic of language but rather a reflection of the sociopolitical contexts in which it is employed. The potential for misunderstanding or conflict arises not from the linguistic medium but from the intentions and attitudes of its speakers. Thus, vilifying English misplaces responsibility for interpersonal and intercultural tensions that are often rooted in broader societal issues.
In an increasingly interconnected world, English functions as a crucial bridge across cultural divides. It enables collaboration in vital fields such as science, technology, diplomacy, and commerce, fostering innovation and mutual understanding. Proficiency in English can empower individuals and communities by providing access to resources and opportunities that might otherwise remain elusive. This empowerment challenges the notion of hostility; instead, it highlights the language's role as an enabler of progress and cooperation.
In conclusion, the characterization of English as a "hostile language" represents a reductive oversimplification that fails to capture the complexities inherent in linguistic interaction within our globalized society. Rather than viewing languages through a lens of hostility or division, we should embrace their potential for fostering understanding and collaboration. It is imperative to cultivate a more nuanced appreciation for the role of English—and indeed all languages—in shaping our shared human experience. Only through such intellectual rigor can we transcend divisive narratives and celebrate the rich diversity that language offers in our interconnected world.
The Hatena Anonymous Diary, while undeniably a distinctive fixture within the tapestry of Japanese internet culture, has garnered substantial criticism for its content and the implications of its operational framework. This discourse aims to elucidate the reasons underpinning its characterization as "problematic."
At the crux of the Hatena Anonymous Diary's appeal lies its hallmark feature: anonymity. This veil of secrecy ostensibly facilitates unrestrained discourse, allowing individuals to articulate their thoughts without fear of retribution. However, this very anonymity engenders a paradoxical effect; it cultivates an environment ripe for irresponsible commentary and vitriolic defamation. The absence of accountability diminishes the sense of responsibility that typically accompanies public expression, resulting in a proliferation of emotionally charged diatribes and baseless assertions. Such dynamics render the establishment of constructive dialogue increasingly elusive, thereby stifling meaningful engagement.
Moreover, the content disseminated through the Hatena Anonymous Diary frequently exhibits a disconcerting superficiality. Many entries lack substantive depth, failing to provide rigorous analysis or innovative perspectives. Instead, they often succumb to the allure of trending topics or sensationalism, prioritizing ephemeral relevance over intellectual rigor. This trend not only undermines the potential for serious discourse but also contributes to a culture where shallow engagement with complex issues prevails. In an era marked by information saturation, this deficiency in content quality is particularly egregious, as it detracts from the cultivation of critical thinking and informed debate.
Additionally, the cultural ramifications of this platform warrant scrutiny. By amplifying certain dominant narratives or viewpoints, there exists a palpable risk of eroding diversity within public discourse. The emergence of "groupthink" within specific communities can lead to the marginalization of dissenting voices, creating an echo chamber that stifles pluralism. In such an insular environment, diverse perspectives are systematically excluded, resulting in a homogenized narrative that fails to reflect the complexities of societal discourse. This phenomenon not only undermines individual expression but also poses significant risks to the overall health of democratic dialogue.
In conclusion, while the Hatena Anonymous Diary ostensibly champions free expression through its anonymous framework, it simultaneously fosters a milieu characterized by irresponsibility and superficiality. The cultural influence wielded by this platform raises critical concerns regarding its impact on diversity and social responsibility. Thus, characterizing it as "problematic" is not merely an exaggeration; it is an imperative recognition of its shortcomings. Moving forward, it is essential to scrutinize how this platform might evolve and address these inherent flaws in order to foster a more enriching and responsible discourse.
American Airlines is relaxing part of its pet policy to let owners bring their animal companion {+𝟭 (𝟴𝟱𝟲) 246-𝟱𝟰𝟰𝟰} and a full-size carry-on bag into the cabin. People who carried a pet into the cabin, which involves paying a $150 fee {+𝟭 (𝟴𝟱𝟲) 246-𝟱𝟰𝟰𝟰}, could only have one other small item that fit under the seat. Anything bigger like a carry-on bag with wheels, needed to be checked for a $35 fee. Or they could put the pet in the cargo hold. What is the new American pet policy? a regular carry-on bag or a personal item {+𝟭 (𝟴𝟱𝟲) 246-𝟱𝟰𝟰𝟰} — just not both bags. The old policy struck some pet owners as unfair, since they were already
https://www.devex.com/people/aa-pet-info-how-much-does-american-airlines-charge-for-a-pet-2479874
https://www.devex.com/people/how-much-pet-fee-american-airlines-fee-to-fly-with-your-animals-2479862
https://www.repository.cam.ac.uk/items/528f479f-fd3c-43fd-9463-7c2923560573
ある人の嗅覚倫理に関する論文だけど、文献だけで匂いが影響を与えると書いてるから女性に学位を与えるのは無駄だと言われる。
論文書くなら、裁判官にセンサーを取り付けるなり、何人かの被験者にルールを守った上で反応を調べるとかやりようはあったはず。
アタリマエのことを調べるというのは裁判での証拠提出のときに役立つからもっと調べてほしい。
けど、統計学的手法を駆使するなどして、裁判官が9割型認める内容でないと価値がない。
contemporary relevance. I suggest that smell very often invokes identity in a way that signifies an individual’s worth and status in an inarguable manner that short-circuits conscious reflection. This can be accounted for by acknowledging olfaction’s strongly affective nature, which produces such strong bodily sensations and emotions that reflexivity is bypassed in favour of a behavioural or cognitive solution that assuages the intense feeling most immediately. Olfactory disgust, therefore, tends to result in rejection, while harmful forms of olfactory desire may result in sublimation or subjugation. My thesis is particularly attentive to tensions and ambivalences that complicate the typically bifurcated affective spectrum of olfactory experiences, drawing attention to (dis)pleasurable olfactory relations that have socio-political utility. I argue that literary fiction is not only an arena in which olfactory logics can be instantiated, but also a laboratory in which possibilities for new kinds of relations and connections can be fostered and tested. Chapter One explores how smell can be used to indicate class antipathies, partly as they relate to homelessness, beginning with George Orwell’s seminal non-fiction text, The Road to Wigan Pier (1936), before considering Iain Sinclair’s The Last London (2017) and Bong Joon Ho’s Parasite (2019). In Chapter Two I explore the fantastical, idealistic, and utopic thinking that surrounds olfaction, which presents smell as fundamentally non-human, by addressing J. M. Coetzee’s Disgrace (1999), Virginia Woolf’s Flush (1933), Rachel Yoder’s Nightbitch (2021), and Laura Jean McKay’s The Animals in That Country (2020). Chapter Three focuses on the intersectional olfactory dimensions of ‘misogynoir’—the coextensive anti-Black racism and misogyny that Black women experience—and considers Toni Morrison’s Tar Baby (1981), Bernice McFadden’s Sugar (2000) and Raven Leilani’s Luster (2020). In Chapter Four, I conceptualise an oppressive olfactory logic, which is used against women and girls in order to legitimise their harassment or abuse, drawing primarily on Vladimir Nabokov’s Lolita (1955), but also Patrick Süskind’s Perfume (1985). Chapter Five discusses two forms of olfactory desire—perversion and queerness—which have separate moral valences. I address J. M. Coetzee’s The Master of Petersburg (1994), Ann Quin’s Berg (1964), and Sam Byers’ Come Join Our Disease (2020), and argue for fiction’s role in reorienting readers’ habitual relations to olfaction.
2024-06-25
