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はてなキーワード: togetherとは
“The term ‘sex’ refers to the biological differences between men and women. The term ‘gender’ refers to socially constructed identities, attributes and roles for women and men…”
はGR28のPR5から抜いてるがこのパラグラフはお前の主張と真逆の話で
Although the Convention only refers to sex-based discrimination, interpreting article
1 together with articles 2 (f) and 5 (a) indicates that the Convention covers gender-based
discrimination against women. The term “sex” here refers to biological differences between
men and women. The term “gender” refers to socially constructed identities, attributes and
roles for women and men and society’s social and cultural meaning for these biological
「条約では確かにSEXを基準とした差別についてかいてある『が』この条約はジェンダーに基づく差別を対象としている」だよ
お前の書いてる部分はここでいうsex-basedのsexは男女の話で、私たちがこの条約で話しているのはgender-basedの話です、つまりCEDAWの対象はsex-basedではないってパラグラフから抜いてるんだが、
I have a dream that one day on the red hills of Georgia, the sons of former slaves and the
sons of former slave owners will be able to sit down together at the table of brotherhood.
I have a dream that one day even the state of Mississippi, a state sweltering with the heat
of injustice, sweltering with the heat of oppression, will be transformed into an oasis of
I have a dream that my four little children will one day live in a nation where they will not
be judged by the color of their skin but by the content of their character.
I have a dream that one day, down in Alabama, with its vicious racists, with its governor
having his lips dripping with the words of "interposition" and "nullification" -- one day right
there in Alabama little black boys and black girls will be able to join hands with little white
「皆の心から国境を消す為に 俺が考え付いた事はただひとつ 全員で英米連合国の国歌を歌おう
愛国心を持つなら地球に持て 地球の歌を歌おう 魂を国家に管理されてたまるか さあ 理想を現実に…」
というのを見かけたのですが、実際のこの箇所でのヘンドリクスの言葉は
"This is the only way I can do it. So we’re gonna do the English and American combined anthem together. … Don’t get mad. This is it. There’s nothing I can do more than this. Ooh, look at those beautiful people out there.”
Fellas, I'm ready to get up and do my thing(Yeah, go ahead!)I wanta get into it, man, you know (go ahead!)Like a, like a sex machine, man (yeah, go ahead!)Movin' and doin' it, you knowCan I count it off? (Go ahead)
Get up (get on up)Get up (get on up)Stay on the scene (get on up)Like a sex machine (get on up)
Get up (get on up)Get up (get on up)Stay on the scene (get on up)Like a sex machine (get on up)Get up (get on up)Stay on the scene (get on up)Like a sex machine (get on up)
Wait a minute!Shake your arm, then use your formStay on the scene like a sex machineYou got to have the feeling sure as you're bornGet it together, right on, right on
Get up (get on up)Get up (get on up)Get up (get on up)Ha!Get up (get on up)Get up (get on up)Get up (get on up)
You said, you said you got theYou said the feelingYou got to getYou give me the fever 'n' a cold sweatThe way I like, is the way it isI got mine, don't worry 'bout his
Get up (get on up)Stay on the scene (get on up)Get up (get on up)Like a sex machine (get on up)Get up (get on up)Get up (get on up)
Bobby! Should I take 'em to the bridge? (Go ahead!)Take 'em on to the bridge! (Take em to the bridge!)Should I take 'em to the bridge? (Yeah!)Take 'em to the bridge? (Go ahead!)Hit me now!
Stay on the scene, like a sex machine!The way I like it is, is the way it isI got mine, (dig it!), he got his
Stay on the scene, like a lovin' machineStay on the scene, like a lovin' machineStay on the scene
I wanna count it off one more time now (go ahead!)You wanna hear it like it did on the top, fellas? (Yeah!)Hear it like it did on the top? (Yeah!)Hit it now!
Get on up (get on up)Get up (get on up)Get up (get on up)Get on up (get on up)
Stay on the scene (get on up)Like a lovin' machine (get on up)Get up (get on up)
Taste (get on up)Bein' (get on up)Taste (get on up)Bein' (get on up)
Get up (get on up)Get up (get on up)Stay on the scene (get on up)Like a sex machine (get on up)
You gotta have the feelin' (get on up)Sure as you're born (get on up)
Get it together, right on, right onRight on, right on (right on, right on)Right on, right on (right on, right on)
Get up (get on up)Get up (get on up)
And then, shake your money makerShake your money makerShake your money makerShake your money maker
Get up (get on up)Get up (get on up)Get up (get on up)Get up (get on up)
Can we hit it like we did one more time, from the top?Can we hit like that one more time(One more time!)One more time!Let's hit it and quit! (Go ahead!)Can we hit it and quit? (Yeah!)Can we hit it and quit? (Yeah!)Can we hit it and quit? (Yeah!)Hit it!
Fellas, I'm ready to get up and do my thing(Yeah, go ahead!)I wanta get into it, man, you know (go ahead!)Like a, like a sex machine, man (yeah, go ahead!)Movin' and doin' it, you knowCan I count it off? (Go ahead)
Get up (get on up)Get up (get on up)Stay on the scene (get on up)Like a sex machine (get on up)
Get up (get on up)Get up (get on up)Stay on the scene (get on up)Like a sex machine (get on up)Get up (get on up)Stay on the scene (get on up)Like a sex machine (get on up)
Wait a minute!Shake your arm, then use your formStay on the scene like a sex machineYou got to have the feeling sure as you're bornGet it together, right on, right on
Get up (get on up)Get up (get on up)Get up (get on up)Ha!Get up (get on up)Get up (get on up)Get up (get on up)
You said, you said you got theYou said the feelingYou got to getYou give me the fever 'n' a cold sweatThe way I like, is the way it isI got mine, don't worry 'bout his
Get up (get on up)Stay on the scene (get on up)Get up (get on up)Like a sex machine (get on up)Get up (get on up)Get up (get on up)
Bobby! Should I take 'em to the bridge? (Go ahead!)Take 'em on to the bridge! (Take em to the bridge!)Should I take 'em to the bridge? (Yeah!)Take 'em to the bridge? (Go ahead!)Hit me now!
Stay on the scene, like a sex machine!The way I like it is, is the way it isI got mine, (dig it!), he got his
Stay on the scene, like a lovin' machineStay on the scene, like a lovin' machineStay on the scene
I wanna count it off one more time now (go ahead!)You wanna hear it like it did on the top, fellas? (Yeah!)Hear it like it did on the top? (Yeah!)Hit it now!
Get on up (get on up)Get up (get on up)Get up (get on up)Get on up (get on up)
Stay on the scene (get on up)Like a lovin' machine (get on up)Get up (get on up)
Taste (get on up)Bein' (get on up)Taste (get on up)Bein' (get on up)
Get up (get on up)Get up (get on up)Stay on the scene (get on up)Like a sex machine (get on up)
You gotta have the feelin' (get on up)Sure as you're born (get on up)
Get it together, right on, right onRight on, right on (right on, right on)Right on, right on (right on, right on)
Get up (get on up)Get up (get on up)
And then, shake your money makerShake your money makerShake your money makerShake your money maker
Get up (get on up)Get up (get on up)Get up (get on up)Get up (get on up)
Can we hit it like we did one more time, from the top?Can we hit like that one more time(One more time!)One more time!Let's hit it and quit! (Go ahead!)Can we hit it and quit? (Yeah!)Can we hit it and quit? (Yeah!)Can we hit it and quit? (Yeah!)Hit it!
新型コロナ禍におけるこの薬は、科学・メディア・政治・世論・陰謀論・希望的観測が複雑に絡み合った「20世紀的パラダイムの崩壊」と「21世紀的情報戦の象徴」でした。
一言でいえば、それは**「パンデミックにおける“知のカオス”」を凝縮した鏡**です。
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「イベルメクチンが試験管内でSARS-CoV-2の増殖を99%阻害する」との**in vitro研究（試験管内の細胞実験）**が発表。
→ この結果が瞬く間に拡散され、「特効薬が見つかった」と期待が爆発。
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| 期待 | 現実 |
| 安全・安価な既存薬でコロナを治せる！ | 有効な血中濃度に達するには人間にとって危険な高用量が必要 |
| ノーベル賞受賞者の薬だ、効かないはずがない | 動物実験や観察研究での相関関係は、因果関係を保証しない |
| 治験の中には「効果あり」と言っているものもある！ | 多くの研究は質が低く、バイアスや偽造も存在（後述） |
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「高価な新薬（レムデシビル、モルヌピラビル）ばかり推されるのは製薬利権のせいだ。イベルメクチンは安すぎて儲からないから無視されている」
SNS・YouTubeでは「医者が真実を暴露」「WHOは嘘をついている」などのヒーロー物語の構造が流行。
→ 「正義の薬 vs 権力に支配された医学」という二項対立型の陰謀言説に。
• 結果、「効果がある」と断言する医師（多くは動画やSNSで活動）にすがる構図に。
⸻
→ 米国の一部医師グループ。「政府は効果を隠している」と主張。
→ 例：長尾和宏医師、尾身茂氏への疑義、厚労省への嘆願書など。
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→ 中等症コロナ患者に対するイベルメクチンの効果はプラセボと有意差なし
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それは、「希望」「怒り」「不信」「過去の栄光」「ポスト真実」「情報戦争」が交錯する“社会的現象”である。
社会的には「人々の不安と信念がいかに現実を形作るか」を見せつけた象徴である。
⸻
| 心理 | 内容 |
| 支配されている感覚への抵抗 | 「ワクチンを打て」「新薬を買え」という指示に反発したい |
| 知識エリートに対する嫌悪 | 医学会、大学、メディア＝上級国民への疑い |
| 人間の“簡単な答え”への渇望 | 「安価な既存薬で治る」は分かりやすく希望に満ちている |
| 成功体験の再利用 | イベルメクチンは過去に人類を救った薬 → だから今回も、という神話 |
ワールドツアーで稼ぎまくるK-POPアイドルグループ、アルバム売れなくても業績急上昇
■韓国のエンターテインメント企業、今年1－3月期に急成長
韓国の4大エンターテインメント企業のうち、HYBE、SM、YGの3社の今年1－3月期の実績は前年に比べ大きく成長した。5月29日現在の韓国金融監督院電子公示システムによると、HYBEの1－3月期の売上高は5006億ウォン（約518億円）と38.7％増加したとのことだ。HYBE にSM・YGを加えた3大エンターテインメント企業の1－3月期の売上と営業利益は大幅に成長していることが分かった。＝グラフ参照＝
各エンターテインメント企業の主な実績は、公演分野の売上の伸びがけん引している。HYBEの今年1－3月期の公演売上は前年同期（440億ウォン）より252.3％も多い1552億ウォンだった。一方、アルバム・音楽配信の売上は前年同期比5.9％減の1365億ウォンだった。売上全体の中で公演が占める割合も31％と、アルバム・音楽配信の割合（27.3％）を上回っている。昨年まではCD・音楽配信の割合（40.2％）の方が公演の割合（12.2％）より多かったが、今年は逆転したのだ。今年1－3月期に所属歌手であるBTS（防弾少年団）のJ-HOPE（ジェイホープ）、SEVENTEEN（セブンティーン）、TOMORROW X TOGETHER（トゥモロー・バイ・トゥギャザー）、ENHYPEN（エンハイプン）、BOYNEXTDOOR（ボーイネクストドア）などの海外コンサートが多かったためと分析されている。
SMも今年1－3月期のコンサートの売上が390億ウォンで、前年同期比58％の成長を記録した。アルバム・音楽配信の売上は678億ウォンで、昨年1－3月期（551億ウォン）に比べ23％増にとどまった。SMは「新アルバムの売上枚数は昨年同期比で減少したが、ワールドツアーの拡大が業績改善をリードした」としている。SMは最近、NCT 127（エヌシーティー・イチニナナ、18公演）、aespa（エスパ、16公演）、東方神起（10公演）、SUPER JUNIOR（スーパージュニア）イェソン（8公演）などが大規模なワールドツアーを相次いで行っている。YGも昨年、トレジャー、ベビーモンスターなど所属グループのワールドツアーが続き、今年1－3月期の公演売上が前年対比275％増の75億ウォンとなった。
ただし、4大エンターテインメント企業のうちJYPエンターテインメント（JYP）だけは1－3月期の利益が減った。売上高は前年同期比3.1％増の1408億ウォンだったが、営業利益は41.6％減の196億ウォンとなった。他のエンターテインメント企業に比べて看板ミュージシャンのワールドツアー規模が小さく、新人デビュー（KickFlip〈キックフリップ〉）と放送制作（KBS『ザ・エンターテイナー』）の投資費用が重なったためと分析されている。
Please, I am writing to you with desperation and I will be relieved if you could reply soon.
My name is Julian Bikram, I had a fiance and we have been living together since 2019 with a daughter.
He is a gold broker and a foreigner. He was attacked in 2022 by bandits while he was in a gold mining site and died after some days in the hospital.
Since the incident happened, no one has contacted me from his family aside his local friends here that came for condolence.
Please , I can't keep waiting for his relatives, this is 3 years of no contact from them, it's obvious they don't know us.
I have spoken with his bank here, they confirmed he has a floating balance in his account and after much deliberation for them to release the money to me, they said I should give them the contact of his relative.
I am helpless with their decision , because i don't know his people, they have not contacted us since the incident which is extremely understandable that they don't know about us.
Therefore please, i am appealing to you (based on the reality that you have the same last name like him) to stand for me as the family member, so that they can accept to release the money back to me.
The bank is not asking for any payment
They are only asking for his relatives to be aware and agreed with them to pay me
Please, I want you to help me for the sake of my child's support, even if we can share the money.
Please, for the sake of humanity, please help me.
Juilan
要約すると
差出人は「ジュリアン・ビクラム」と名乗り、婚約者がいたがその婚約者が2022年に金鉱山で強盗に襲われて死亡したという話をしています。婚約者の家族とは連絡が取れず、銀行に預けられているお金を受け取るためには親族の同意が必要だと銀行に言われたと主張しています。
そこで、あなたが婚約者と同じ苗字を持っているという理由で、代わりに親族として名乗り出てほしいと頼んでいます。報酬としてそのお金を分け合うことを提案し、「人道的な理由で助けてほしい」と懇願しています。
おもろいからやり取りしようかな
I really enjoyed the local online talk show I watched! There was a farmer from USA who spoke about his experience selling vegetables together with his pregnant partner. The sight of him sharing laughs with regular customers was just bursting with happiness! It had a very realistic atmosphere, reminiscent of an NHK live program.
Looking at comments on Yahoo! News about similar topics, I saw many supporting local farmers ('Let's boost our local farmers!'), but also the inevitable critical voices leading to the usual heated debate (lol).
Since the daily news about various incidents can be quite draining, documenting warm stories like this in my diary helps me feel refreshed and energized. A big thank you to the production team for such wonderful content! I wish more of our region's appeal could be delivered online like this!
Yoshihiro Mochizuki
Japanese Language Lecturer
How does your work engage with DEI topics? Could you share a particular story related to your work in DEI?
As a Japanese language teacher at the University of Michigan, my journey in DEI education has been a profoundly enriching experience that reaches far beyond the classroom. In 2023, I had privilege of speaking at various conferences and teacher training workshops, including delivering a keynote address at the fourth Northwest Conference on Japanese Pedagogy hosted by the University of Washington. This milestone allowed me to advocate for the profound importance of DEI and social justice in Japanese language education.
Through these experiences, I have come to a profound realization: while children and students often readily embrace DEI principles, having grown up in an era where these concepts are more ingrained in education, our primary focus must be on the education of adults, particularly educators themselves.
During my presentations and workshops, I have engaged with educators, many of whom have decades of experience. They raise questions that sometimes reveal unconscious biases or microaggressions. Yet, they openly admit feeling out of touch with the ever-evolving landscape of diversity and inclusion. They express genuine concerns about their ability to relate to and support students from diverse backgrounds.
This interaction spotlights a substantial challenge faced by educators today, a reminder that the world is in constant flux, and it is our shared responsibility as educators to adapt alongside it. These encounters are what drive my passion for DEI education. My work extends beyond the classroom, aiming to bridge the gap between theory and practice, guiding fellow educators toward inclusivity, understanding, and social justice.
As we move forward, it is imperative to recognize that fostering diversity, equity, and inclusion is not solely the responsibility of students but a collective endeavor that starts with us, the educators.
In conclusion, my journey in Japanese language education has taught me that the true power of DEI education lies in its ability to transform educators. This transformation, in turn, shapes a more inclusive future for our students. Embracing DEI principles enriches not only our teaching but also our society as a whole. Together, as a community of educators dedicated to diversity, equity, and inclusion, we take significant strides toward creating a more just and inclusive world, one classroom at a time.
あなたの仕事はDEIのテーマとどのように関わっていますか？DEIに関する具体的なエピソードがあれば教えていただけますか？
ミシガン大学で日本語教師としてDEI教育に携わってきた私の歩みは、教室の枠をはるかに超えた、非常に豊かな経験でした。2023年には、ワシントン大学主催の第4回北西日本語教育学会議での基調講演をはじめ、様々な会議や教師研修ワークショップで講演する機会に恵まれました。この節目を通して、日本語教育におけるDEIと社会正義の深遠な重要性を訴えることができました。
これらの経験を通じて、私は深い認識に達しました。それは、DEI の原則が教育に深く根ざした時代に育った子供や学生は、多くの場合、積極的に DEI の原則を受け入れますが、私たちが主に重点を置くべきは、大人、特に教育者自身の教育であるということです。
プレゼンテーションやワークショップを通して、私は教育者の方々と交流してきました。その多くは数十年の経験を持つ方々です。彼らは、時に無意識の偏見やマイクロアグレッションを露呈するような疑問を投げかけます。しかし同時に、彼らは常に進化を続ける多様性と包摂性という状況に疎外感を抱いていることを率直に認めています。多様な背景を持つ生徒たちと関わり、サポートしていく能力について、真摯な懸念を表明しています。
この交流は、今日の教育者が直面する重大な課題を浮き彫りにし、世界は常に変化し続けており、教育者としてそれに適応していくことが共通の責任であることを改めて認識させてくれます。こうした出会いが、DEI教育への私の情熱を駆り立てています。私の仕事は教室にとどまらず、理論と実践のギャップを埋め、他の教育者を包摂性、理解、そして社会正義へと導くことを目指しています。
今後、多様性、公平性、包括性を育むことは学生だけの責任ではなく、私たち教育者から始まる共同の取り組みであることを認識することが不可欠です。
最後に、日本語教育に携わってきた経験を通して、DEI教育の真の力は教育者を変革する力にあることを学びました。この変革は、ひいては生徒たちにとってよりインクルーシブな未来を形作ります。DEIの原則を受け入れることは、私たちの教育だけでなく、社会全体を豊かにします。多様性、公平性、そしてインクルージョンに献身する教育者のコミュニティとして、私たちは共に、一つ一つの教室から、より公正でインクルーシブな世界の創造に向けて大きく前進していきます。
もっちりんだ 🇺🇸 🇯🇵 🏳️🌈
@mochiey
学部からのお達しで、私のこのページ、もうすぐ消えることになったので、よかったら消える前に読んでくださ～い。
https://x.com/mochiey/status/1912156111953662160
もっちりんだ 🇺🇸 🇯🇵 🏳️🌈
@mochiey
Teaching Professor of Japanese Language | University of Michigan 🇺🇸生活・Podcasts・日本語教育・人権 (LGBTQ+, フェミニズム), etc. Posts are my own. 他のSNSも 全て
@mochiey
でやってます。
すごく軽いね。もうすこしなんかないの？学問の自由とか言うことはないの？
大変申し訳ないのですが、これは消されて当然だし
6分
大学のサイトからDEIのページを消さないと、というより大学からDEIを排除しないと連邦政府からの支援金がもらえなくなるからね。
こういう報いを受けても仕方ないのでは。だって何一つ書いていないんだもの。
「profound importance」「profound realization」「shared responsibility」「transform educators」など、抽象度の高いフレーズばかりで、具体的な教育実践が見えません。
例：「どんな学生に、どのような教材を用いて、どういった変化が見られたのか」といった具体的な成果・実例が欠如。
「教育者と話して無意識のバイアスに気づいた」ことを語っていますが、どんな内容だったのか、どういう改善に繋がったのか、事例がないため説得力が弱い。
そもそもこの文章では、DEI（Diversity, Equity, Inclusion）を日本語教育の中でどう具体的に扱うのかが一切記述されていません。
たとえば「教材に出てくる名前や職業を見直した」「LGBTQの観点を授業で扱った」などの実施例が欠落。
トランプがカネを出さないというのは極めて至極まっとうで、この文章で人が感動することも共感することも同情することも理解することもない。
なに言ってるんだ。そのアカウント名もふざけている場合じゃないだろう。
あと大学もお金をもらわなくても大丈夫なんだから、大学にお金を出さなくてもいいのかも。
日本も見習うべきですね。
Bugman Hegel
@FedPoasting
In 2011, my papa was laid off from a Whirlpool manufacturing plant, the kind that had for so long made America great. In the wake of the financial crisis, the C-suite had decided to offshore operations to Mexico.
The plant they shuttered was a 1.2 million sq ft manufacturing plant, and overnight, 1,000 people lost their jobs. Many of whom had been working there for decades.
My papa was 57 years old when he got laid off. He had worked at that very same plant for over 30 years, and snap just like that, it was all gone.
1/6
2011年、私の父は、長年アメリカを偉大にしてきたワールプール社の製造工場から解雇されました。金融危機を受けて、経営陣はメキシコへの事業移転を決定しました。
閉鎖された工場は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 I was a little girl, from as far back as I could remember, my papa woke up at 3:30 am and drove the 40 minutes to the plant from the rural 1,200-person town every single day. And for 30 years, he worked what were often 10-12 hour shifts with no complaints.
I grew up a Navy brat, so I didn’t get to see my grandparents except for a few months during the summer, but I remember my papa exerting the last drop of his energy so he could spend time with us going to the creek, building us a tree house, riding horses, and playing cowboys and Indians.
Every evening, starting from when I was in grade school, my papa and I would sit in the living room and watch the History Channel, Animal Planet, and Bill O’Reilly and hee-haw together about what the Democrats were doing, as much as an eight-year-old can.
My papa and my nana had been together since they graduated high school; they got married at barely 18 and had my mom less than a year later and my aunt soon after that.
They had a small homestead, owned most of what they had outright, and they were poor, but poor doesn’t have to mean that much when you can work the land.
My nana worked as the local school’s secretary, and my papa had good benefits with his manufacturing job. They only ever went out to eat on special occasions. McDonald’s was a birthday-only type of affair. They had a one-acre garden, a few head of cattle, would can fruits and vegetables at the end of every summer, and freeze chopped okra, blueberries, meat from wild hogs and venison in an old chest freezer in the workshop.
私がまだ子供だった頃、物心ついたころから、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 been on a plane and seldom ever having been outside of Arkansas, they managed to put both my mom and aunt through college and graduate school without requiring them to incur even a dime of debt. This was the 1990s.
Then at the age of 57, my papa and 1,000 of his coworkers were thrown away like a piece of trash after giving that company decades of their lives. And what were they told to do? What was their consolation prize?
Learn. To. Code.
My papa and nana were born in the 1950s in a place that was quite literally the Wild West just mere decades before their birth.
Growing up, neither of them had running water—they drew water from a well, washed up in a tin tub heated over a fire, and went to the restroom in an outhouse. They were both educated in a one-room schoolhouse and both came from families that relied on their farm’s livestock to feed themselves. People like my grandparents built this nation. They built this nation for their children.
But because the thing they sought to build wasn’t a stock portfolio or real estate portfolio, the preservation of their homes and communities was not something that Wall Street nor Washington saw as having enough value to be anything more than apathetic about blowing up.
飛行機に乗ったことも、アーカンソー州から外に出たことがほとんどなかったにもかかわらず、両親は母と叔母を一銭も借金せずに大学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。
コンクリート自信なくしたニキです。ご指摘を色々いただいたので再度追記します。
特に、https://anond.hatelabo.jp/20250215185611は諸々直接的かつ詳細に指摘いただいたので、当方分かる範囲で諸々調べなおしました（勉強し直しのいい機会となりました。）
当方の記載も誤りや厳密でない記載多数含む思いますので、必要な指摘はぜひしていただくべきかと思います。
とはいえ、全体的にそこまで間違ってなくね！？とも思っているので、必要な追記をすることにしたいと思います。
当方の下記記載についてご指摘いただいたものと理解しています。
こちらですが、ご指摘いただいた通り、英語の"concrete"は形容詞として「具体的な」を含む意味を持っています。また、語源としてラテン語の言語は「ともに成長する(grown together)」、「混合された(compounded)」という意味を持っているようです（アイルランドコンクリート協会）。
他方で、当方記載の趣旨は、前段のアスファルトコンクリートの記載も踏まえて、名詞の"concrete"が通常「セメントコンクリート」を指し、「アスファルトコンクリート」を指さないことを記載することでした。その点では、ケンブリッジディクショナリーでもA.M_NevilleのConcrete_Technology（p.2の"What is concrete?"参照）でも、名詞の"concrete"としてセメントと水、その他を混ぜて作るコンクリート＝セメントコンクリートを特に注釈なく記載し、asphalt concreteなどは特段言及がないので、おそらく日本と同じ状況かなと思います。そのため元文はあえて修正しなくていいかと考えています。
ここはすいません、追記前の最初の記事から、提示いただいた(1)-(3)の３点（ただし(3)の２文目以降の鉄筋腐食の話を除く）は記載していたので、何をご指摘いただいたのかよくわかりませんでした。
最初の記事のこの部分では、（元々の本題の補足ですでに長い文章だったこともあり）鉄筋コンクリートのメリットだけを説明するにとどめました。仮に鉄筋腐食の記載がない点でご指摘をいただいていたのであれば、コンクリート工学の試験はこういうとこで減点されるんだな、と長年の疑問が氷解した次第です笑。
この点は機序について認識が足りておらず、とても勉強になりました。鉄筋付近のコンクリートの中性化が進行することが先で、その後に鉄筋が腐食する、という機序と理解しました。一応調べたところ、実際にそのような記載がある論文がありました。（これのp.8とか）
他方で、アルカリ＝塩基性で保護がなされているうちは腐食は生じないとしても、別の要因（凍害やアルカリシリカ反応（アルカリ骨材反応））でひび割れが進行し、（コンクリート構造物全体としては中性化が進行しなくとも）ひび割れ付近が中性化することで、局所的な腐食が生じうるため、元の記載のひび割れ→鉄筋腐食→ひび割れの拡大、という順序になることはありうる（ソース：農林水産省 １．コンクリートの主要な劣化と特徴、劣化要因の推定方法の例えば参1-9 や参1-10）ので、１００％間違えているわけでもないかな、と考えています。
修正も考えましたが、論文を執筆しているわけでもないし、「ひび割れ補修が重要」程度を伝えるのなら、先に中性化の話をするよりも今の流れのほうが読みやすいので、そのままにすることにしました。より適切な内容はいただいたご指摘やこちらの記事で記載しましたしね。
マンションの補修などを考えている方は、これを機会に一般向けでよいので関係する本を読むと、適切かつ網羅的な知識が得られるのでそちらをお勧めします。（自分の記事ではそんな重大な責任は負えないです笑）。
（追記）あと、別の方に、体積収縮によるひび割れも力学的な現象、とご指摘いただいていました。異論はないですが、これは補足をいただいたものと理解しています。
こちらは、自分も書いた後に読み返していて、ほかの要因もあるし断定しすぎかなぁと思ったのですが、すべての要因を挙げてもきりがないし、ここではアスファルトとコンクリートの固まるまでの時間までの期間の差を強調したかったので、今の記載にしました（自分は材料屋だったので）。せめて「値段もアスファルトのほうが安いなどの理由もあります。」くらいの記載にすべきだったな、と反省しています（が、ここまで指摘いただき自分でもエクスキューズしておいてそんなチンケな修正しても仕方ないので今のままにします）。
とはいえ、こちらのセメント協会の資料(特にp.3)を読むと、「自動車社会の到来で、緊急的な道路整備の必要性が生じるとともに、石油化学工業が発展して大量・安価なアスファルトが生まれたことで、施工・補修が容易で施工費が安いアスファルト舗装のメリットにより、アスファルト舗装時代が到来した」という趣旨の記載があるので、ざっくり現代日本にアスファルト舗装が多い理由を説明するなら、これが一番正解に近いのでは、と思いました。
こちらは自分もへぇーと思って読みました。既存建築物の６割は１００年超、というのは驚きでした。
こちらは、自分の「自己充填コンクリート（高流動コンクリート）」の話を補強してくださっているんだと理解しています。
自分がなれなかったコンクリート界のスティーブジョブズに、なってもらえる若者が登場することを切に願っています。
自分の記事がまさかこんなにバズって、いろんな方に読んでいただけるとは思っておらず、いろいろな方のご指摘を含めてとてもうれしかったです。
まさか１０年越しに、土日をつぶして、コンクリートの論文や参考資料と格闘する羽目になるとは、何が起こるかわかりませんね。厳密な記載を心がけようとすると、どれだけ調べないといけないのか…研究者の方には本当に頭が下がります。
自分の大学の講義に対する成績は碌なもんではなかったので、その点は修正しません。お察しの通りその後に大学院でコンクリート工学を修めており、その際の研究はどっぷりとはまり込んだので、その時の自分を裏切らないためにも、少々時間をかけて追加で調査をしてみた次第です。
（追記）あと、別の方に、コンクリ－ト・セメントが強アルカリで取り扱いには注意が必要、という点をブコメで補足いただいていました。これはすごく大事な指摘だと思います。セメントは手に付けたままだと手に穴が開くほど強アルカリですし（実際に怪我した方もいるようです）、セメントの粉じんも肺を炒めます。取り扱いにはくれぐれもご注意を・・・。
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。
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.
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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.
日本語バージョンがある。Stingが日本語で歌っているのがなんか面白い。あとレゲエ感が増している気がする。
ハワイな曲。
なんで「ちょっと待ってください」を選んだんだろう。
サウスパークの曲。
