はてなキーワード: IMPACTとは
「可愛い女の子が沢山出てきてUIのかっこいいゲーム」というリクエストにお答えして、おすすめのゲームをいくつか挙げてみます！スマホゲームを中心に、ビジュアルとUIの両方が優れたものを厳選しました。
『原神』 (Genshin Impact)
概要: オープンワールドRPGで、可愛い女の子キャラが多数登場。キャラクターデザインが美しく、個性的なスキルやストーリーが魅力。
UIの特徴: 洗練されたメニュー画面と直感的な操作性が特徴。カラフルでスタイリッシュなデザインが目を引きます。
プラットフォーム: iOS、Android、PC、PS4/5など。
『アークナイツ』 (Arknights)
概要: タワーディフェンスゲームで、魅力的な美少女オペレーターがたくさん登場。シリアスな世界観と可愛さが絶妙にマッチ。
UIの特徴: ミリタリー風のクールなインターフェースで、情報が整理されていて使いやすい。ダークトーンがカッコよさを強調。
『ブルーアーカイブ』 (Blue Archive)
概要: 学園を舞台にしたRPGで、可愛い女学生キャラが勢ぞろい。ほのぼのした日常とバトルが楽しめます。
UIの特徴: ポップでモダンなデザインに、学校の黒板風の要素が組み込まれていておしゃれ。操作もシンプルで快適。
『崩壊：スターレイル』 (Honkai: Star Rail)
概要: ターン制RPGで、宇宙を舞台に可愛い女の子を含めた多彩なキャラが活躍。『原神』の開発元が手掛けた作品。
UIの特徴: 未来的で洗練されたデザインが特徴。UIアニメーションも滑らかでかっこいい。
『プリンセスコネクト！Re:Dive』
概要: アニメ調の美少女たちが織りなすRPG。ストーリーとキャラの掛け合いが楽しい作品。
UIの特徴: 明るく可愛らしい雰囲気ながら、シンプルで見やすいレイアウト。バトル中のエフェクトもスタイリッシュ。
これらのゲームはどれも可愛い女の子がたくさん登場しつつ、UIが使いやすくデザイン性にも優れています。好みのジャンルや雰囲気で選んでみてください！どれか気になったものがあれば、ぜひ試してみてね。
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.
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.
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.
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.
別に文句を言いたいわけではなく、プレイしたやつを語りたくなっただけです。
人生初スパロボ。この頃はアニメオタク的な知識がほとんどなく、Z・ZZガンダムをテレビCMで見て知っている程度だった。
ストーリー的には第三次スーパーロボット大戦の続きだが、オリジナル作品魔装機神の舞台であるラ・ギアスに版権作品の主人公たちが召喚されることになる。最近のでいうとXみたいな話。
地獄みたいなバランスを語られるウインキーソフト時代にしては、外伝だからか比較的マイルドなバランス。主人公のマサキ・リューネ・シュウら3人分のルートを別々に遊ぶことになるため、ステージ数も各20程度と1周分としては少な目で、精神コマンドもサクサク覚える。
アイコンのせいでアリアス・モマやヴィガジと区別が付けにくいようなガンダム0083のガトーが、ガンダム試作2号機のアトミックバズーカを封印してプラズマリーダーを使ったりする珍しい場面も。
比較的マイルドなバランスといったが、ラスボスが唐突にビーム吸収などという能力を持ったF91絶対殺すマンだったり、インタラクティブ・シナリオ・システムという名の各主人公ルートの分岐の影響を受けてストーリーが変化するシステムと公式裏技の結果、ストーリー中盤で攻撃力9999の縮退砲を装備したネオグランゾンと戦う羽目になったりもする（ゲッタードラゴンのシャインスパークを戦艦補給も利用しながら何発も撃つなどして倒した）。
イスラム教徒でテロリストのアハマド・ハムディという今思えばヤバい設定のオリキャラが破壊神と対面して「アドレナリンの味がするぜ」みたいな事を言っていたのが妙に記憶に残っている。味なんて分かるだろうか、アドレナリン。
順当に続編を購入。これは夕方からゴールデンタイムにかけて、TVアニメ番組にCMをバンバン打ってた覚えがある。第4次スーパーロボット大戦だーー♪
終盤の月面でブラッドテンプルと戦うところがやたらキツかった覚えがあるが、それ以外は楽しめた。
なんかダイモスの脇役のガルバーFXIIという戦闘機を二人乗りだからというだけでやたら強化した覚えがある。勿論スーパーガンダムのあるガンダムマーク2も。
2週くらいクリア。
ファミコン版の第2次のストーリーをベースにVガンダムとGガンダムをぶちこんで難易度は易しめになったゲームボーイ版。
Vが好きなのでフル改造V2アサルトバスターで無双した記憶しかない。
1周クリア。
スーパーファミコンのソフトの定価が1万円を超えていた時代の産物。お高いが内容は良かった。
タイトルの通り外伝で、EXと同じくマサキが主人公だが、版権作品なしで全部オリジナルものの、OGシリーズの先駆けである。
スーファミ後期の大容量カートリッジROMによるでっかい顔アイコンと表情差分や、これまでに比べて豪華な戦闘アニメ、きっちりプレイしていれば割と潤沢な改造資金など、α以降のシリーズの片鱗を感じさせる。
何週したか分からん。4～5くらいはしたし、うち半分はプレシアが超強い。
戦闘時のユニットでかい。海嫌い。東方不敗が宇宙人。新オリジナル主人公のリュウセイがまだこの頃はだいぶ痛々しい。
これといったイベントの起きないザコ戦闘回（しかもマップのほとんどが海）がやたら多かった覚えがあり、あまり楽しい思い出はない。
最終面以外比較的まともな前半Fと、敵機の運動性インフレによりスーパー系ロボットが産廃になっていくF完結編である。
この頃は今と違って回避と命中の両方とも機体の運動性能に影響を受けており、かつスーパー系は軒並み運動性が低いので後半になって敵機の運動性が高くなると精神コマンドを使わないことには当たらないし当てられるし超痛い。
エヴァのATフィールド超つええ！！無敵！！とやっていたのに2回行動のハマーンキュベレイのファンネルでATフィールド破られたエヴァが宇宙に爆散する様は涙なしに見られない。
プレイ時間の半分とは言わないまでも1/4くらいはソフトリセット＆コンティニューのディスク読み込み時間だった時代である。さらばウインキーソフト。
とは言いつつも完結編含め2週くらいやった。
ワンダースワンだっけ。ラスボスがダイターン3のドン・ザウサーでしかも超強い。
しかもワンダースワン本体のIDで全キャラの精神コマンドが違うという、バランス調整大変だったろうなあな作品（熱血などの重要なコマンドは固定である）。
2次・3次・EXがPS1で遊べるとかなんとかかんとか。バランスがクソなので、資料的価値を除けばゴミ。
ニンテンドー64専用でリメイクもされていないしOGシリーズに主人公たちも出ない（似た機体は出る）ので未だに熱く語るファンも多い。俺も大好き。主人公が4人いるけど6週した。
割と真面目に戦争の悲惨さを描いており、何しろ最初から地球がダンクーガのムゲ・ゾルバドス帝国（レイズナーのグラドスなどを含む）に占領されている。
機体ごとに改造費用や限度が違い、ガンダム08小隊のMAアプサラスをフル改造するとのりかえ可能な空中要塞になる。
色々あって新型試作機体に乗り込むことになる、定番主人公タイプの一般人の少年。機体性能はほぼニューガンダムだ。専用BGM「哀しみの戦場へ」は中盤以降の盛り上がりが熱い名曲。
このキャラだけ3周やった。ダグラムみたいな機体で戦う天涯孤独のレジスタンス少女。部隊名ならソーラー・ファングはどうだ？ 当時はまだ珍しい射程がそこそこあるP武器のバルカンファランクスと運動性を鍛えると超強い。リアル系主人公の時だけ登場する年下のレジスタンス少女レラとの出会い、そして交流。敵の仕掛けた自爆装置が起動した中、ハッチを開放して仲間を逃がす事ができるのは通気口を潜り抜けられる小柄な彼女しかいない！ 次回「その瞳に未来は映ることなく」デュエルスタンバイ！
主人公なのに精神コマンドかく乱を覚える事をバカにする攻略記事などもあるが、効率よくレベル上げしていると後半は精神ポイントが余るので普通に便利。専用BGM「I'm Space Woman」はストーリーもあいまって超名曲なので無限に聴ける。
大財閥のお嬢様が執事と共に巨大女性型ロボを操るという女版波乱万丈か旋風寺舞人みたいな子。ライバルお嬢様と勝負の後の和解で鳥型ロボと合体して空を飛べるようになって熱いぜ。BGMの「花散る嵐の如く」の出だしはほぼほぼトップをねらえ! ~FLY HIGH~だぜ。
ロボット格闘術！ 兄弟子との確執！ 激闘の末討ち取って機体を合成強化し最強機体にするか、和解して最強合体技を繰り出すかは君次第だ！ でも戦闘中の必殺技のセリフが長すぎ＆表示時間短すぎで読めねーよ！！ 専用BGMの「出動！大空へ」は古典的スーパーロボット感があって嫌いじゃないけど、Gガンダムオマージュ（ダイモスもかもだが）な主人公には微妙かな。
この頃から熟練度システムありだったろうか。ウインキー時代に比べると易しめでアニメーションも良くて金も稼げて好きな機体を鍛えて安心なみんなのスパロボ。でも今見ると戦術画面の挙動が結構もっさり。
オリジナル主人公用のリアル機体もスーパー機体もどっちもいいよね。グルンガスト参式も指パッチンで真っ二つ。リーンホースJrのビームラムで使徒を倒してミサトさんもびっくり。それも私だ。
今やベテラン声優の杉田智和が主人公の一人を演じているが、この頃はまだ初々しい。
大好きなマクロスプラスからイサムとYF-19が登場して大喜び。でも精神コマンドもろくに使えない序盤に敵のゴーストX-9は勘弁な。
でも2週目だとフル改造ディアブロが大暴れして最終的にイサムよりプレシアの方が格闘値が高い。
みんな大好き斬艦刀が初登場して俺も大好き。
2周クリア。
長い。とにかく長い。全100ステージってお前。そして1面から殺意が高い。でも戦闘アニメは良いし、ダメージの出方も凝ってて好き。鍛えたEz8にバーニィを乗せて複合精神コマンドの奇襲でボス狩りだ。ミンチよりひでえよ。
クリアボーナスで特殊能力を付け替えられるのだが、シールド防御が強い（実質、追加HP）今作においてうっかりひびき洸のシールド防御を集中力で上書きしてしまい、ライディーン一機で戦う面で地獄を見る。
中盤までの地獄を抜けると稼いだ金で余裕ができるので、レアな集中力や精神+15をクルー全員に付けたナデシコで暴れるなどやりたい放題だ。
隠し最終ステージでアクシズ落としを仕掛けてくる癖に、敵を倒しすぎると文句を言ってゲームオーバーにしてくるシャアははっきり言ってアンタちょっとせこいよ。腹いせにLV99にしたキョウスケで奇跡のエリアルクレイモアして鬱憤を晴らす。
1周しかできなかったよ。
GBAだっけ。これまでのオリジナル作品＋αを詰め込んだ、スパロボオリジナルオンリー作品。
IMPACTに引き続きメインキャラがキョウスケじゃねーか！と言いつつ好きなので楽しい。
2周クリア。
面白いんだけど、攻撃ヒット感がなんかヌルっとしててあんまり好きじゃない。
あとこの辺りから攻撃計算が変わって数値の見た目よりダメージでないんだよね。
でもゼンガーを主人公にしちゃう思い切りは好きだよ。ライバルのククルはもうちょっとなんかどうにかならなかったかなとは思うが。
大好きなチェンジゲッターが出てきて大興奮。こちらのレベルに合わせて敵レベルが決まるシステムだったので、序盤に補給しまくってLVを上げて遊ぶなどする。
3周くらいクリア。
なんかライディーンとラーゼフォンのクロスオーバーがすごかった覚えがある。アヤトクンサヨナラ。
あとたまたまケーブルテレビで履修していたゼオライマーが出てきて大歓喜。もう全部あいつ一人でいいんじゃないかな。
キョウスケ、ツヨイ
後半は熱血全体攻撃で敵を溶かす作業ゲーと化すが、それでもトップをねらえ！のカルネアデス計画はアツい。本気のイデオンも強い。
なんかサブパイロットの女の子を三人とっかえひっかえするギャルゲー的な要素のあるアレ。
などといいつつもグランティード・ドラコデウス見たさに2周以上クリアした気がする。
グレートゼオライマーは本当に全部お前一人でいいよ。
やっとたどり着いた！ でも殊更言う事はないな。携帯機の名作です。
メインストーリーもSFものとしてなかなか面白い。2周クリア。
GBAのやつをPS2で練り直したやつだな……。あんまり覚えてない。
外伝の外伝みたいなやつだな。序盤にジガンスクードがナマモノと戦ったり、アニメ版の敵が出てきたり、ヤルダバオトが超絶強くて超絶燃費よかったのが印象深い。
エキスパートモードとかいう武器改造できないモードもクリアした気がするので2周してると思う。
ロボは出るけどもはやスパロボでないので省略。おっぱいがいっぱい。
色々あってしばらく離れていたが、携帯機で気軽にできそうなのと、サブスクでボトムズやコードギアス一気見したので唐突に復帰。
グレンラガンつよいぜ！ キリコも強くてかっこいいぜ！ カレンも強くて可愛いぜ！ うえだゆうじも銭ゲバかっこいいぜ！ レントンとニルヴァーシュは……誰こいつら。
敵はなんか範馬勇次郎と、版権作キャラの二番煎じみたいなのやる王様と、嘘のつきすぎで頭がおかしくなっちゃった人とかいた気がする。
なんかDと第二次αの話がメインだった気がする。でも2周した気がする。
今はSteamでも売っていて便利じゃのうホッホッホ。セールだったから買ってしまったわい。
なんか魔装機神みたいな設定で懐かしい。最近の強化パーツ強すぎ……。フル改造ボーナスが強化パーツ装備数アップ一択なのはすごい。
世代的には魔神英雄伝ワタルやナディアがドンピシャなはずだが、老いたのもあってそこまで熱くならないな……。
代りに独裁者ベルリくんがフル改造凶悪兵器フォトン・トルピードを幸運と共に乱発して1周で150機くらい撃墜した超おもしろカッコイイエースになった。現金のGは始まりのGだ。
今2周目やってる。
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ナタの音楽がヤバすぎて震えるので音楽に造詣あるすべての人、特に民族楽器スキーにみてほしい。
補足すると、新しい国が登場する度にとてつもないクオリティのオーケストラパフォーマンス映像を発表してくることで知られる原神ってゲームのOSTの話。
今年は反魂を題材にした炎の国ナタで、南半球の国々の伝統楽器を盛り込みつつオケと調和させた、ナタのテーマ曲と戦闘音楽が公式YouTubeで出てる。
日本語字幕版が【原神】ナタ LIVE MUSIC VIDEO（オーケストラ編成）
その他の多言語字幕版がNatlan Live Symphony Performance | Genshin Impact
The topic of Boys' Love (BL) and its community can be a sensitive and complex subject, with varying opinions and feelings among individuals. It's important to approach such discussions with respect and understanding for different perspectives.
Boys' Love, also known as Yaoi, is a genre of fictional media that focuses on romantic and/or sexual relationships between male characters. It originated in Japan and has gained a diverse international audience. The genre encompasses a wide range of works, including manga, anime, novels, and fan-created content, often produced by and for women but enjoyed by a broader audience.
The BL community is known for its passionate fanbase, which actively engages in creating and sharing fan works, such as fan fiction and fan art. This creative expression is a testament to the impact of the genre on its fans and the ways in which it inspires them to explore complex themes of love, identity, and society.
However, as with any fandom, there can be aspects that some individuals find uncomfortable or problematic. It's crucial for communities to foster an environment where constructive criticism and open dialogue can occur, allowing for growth and understanding. Discussions about content, representation, and fan practices should be inclusive and considerate, acknowledging the diverse range of feelings and viewpoints within the community.
In conclusion, the BL genre and its community contribute significantly to the landscape of modern media and fan culture. While there may be elements that are contentious or evoke strong reactions, it's the shared passion for storytelling and character exploration that unites fans. As the genre continues to evolve, it will undoubtedly continue to spark discussions and inspire creativity among its audience.
For those interested in learning more about the genre and its cultural impact, there are numerous resources and scholarly works available that delve into the history, themes, and significance of Boys' Love in both Japanese and global contexts. Exploring these can provide a deeper understanding of the genre and its community.
『「IQの低い人たちは子供をたくさん産む」という主張は、統計データや社会科学研究の文脈で慎重に取り扱うべきです。このような議論は多くの場合、根拠が不十分であり、社会的な偏見や誤解を助長する可能性があります。以下に、信頼できる学術論文やデータをもとにこの主張を批判します。
この主張は、因果関係と相関関係を混同している可能性があります。相関があるからといって、因果関係があるとは限りません。例えば、IQと出生率の関係を調べる際、教育水準、経済状況、文化的背景など、他の多くの要因が影響を与えるため、単純にIQだけを原因とすることはできません。
教育水準や経済的要因が出生率に影響を与えるという研究があります。例えば、教育水準が高い人々は、一般的に子供の数が少ない傾向にあります。これは、教育が遅くまで続くことや、キャリアを重視する傾向があるためです 。また、経済的に豊かな地域では、子供にかかるコストが高いため、子供の数を制限する傾向があります。
社会経済的地位（SES）が健康やIQ、出生率に影響を与えるという証拠があります。SESが低い人々は、健康状態が悪く、教育機会が限られているため、IQが低くなる傾向があります。しかし、これは直接的な因果関係ではなく、複数の要因が絡み合った結果です 。
統計データの解釈には注意が必要です。例えば、特定の地域や集団でのデータをもとに一般化すると、誤解を招く可能性があります。データの収集方法や解析手法にも影響を受けるため、慎重な解釈が求められます。
「IQの低い人たちは子供をたくさん産む」という主張は、倫理的な問題を含んでいます。このような主張は、特定の集団に対する偏見や差別を助長し、人権を侵害する可能性があります。科学的な議論は、常に倫理的な配慮を伴うべきです 。
### 結論
「IQの低い人たちは子供をたくさん産む」という主張は、科学的根拠が不十分であり、多くの要因を考慮に入れていない単純化された見解です。このような議論は、統計データの解釈や倫理的な問題を慎重に扱う必要があります。
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: "Education and Fertility: Evidence from a National Family Planning Program in Colombia," by Melanie Morten and Atheendar Venkataramani.
: "The Impact of Women's Education on Fertility: Evidence from Uganda," by Oriana Bandiera, Niklas Buehren, Robin Burgess, Markus Goldstein, Selim Gulesci, Imran Rasul, and Munshi Sulaiman.
: "Socioeconomic Status and Health: Dimensions and Mechanisms," by Nancy E. Adler and Katherine Newman.
: "The Influence of Childhood Socioeconomic Status on Health in Adulthood: A Review of the Evidence," by Diana Kuh and Yoav Ben-Shlomo.
: "Ethics in Research: Protecting Human Subjects," by Eleanor Singer and Felice J. Levine.』
フィットネスクラブで怖い腎臓病が増加中…健康と美容のために摂取するとかえって"死を早める粉"の正体
https://news.yahoo.co.jp/articles/85a6c6e3e0f85cc347b0662a3d5bbb205a42892f
https://president.jp/articles/-/82017
このタイトル、ほぼアウトだろ
何だこの何も言ってない画像
https://president.jp/articles/photo/82017?pn=2
・日本の死因は1位〜2位〜3位〜です
・腎臓病で亡くなる人が少ないのは、その前に別の死因で死ぬから
なにこれ？？笑
実は慢性腎臓病の患者数は増加傾向にあります。11年に国内で1330万人と報告されていた患者数が、20年には2100万人に。わずか10年足らずで700万人以上も増えています。
タンパク補給食品の国内市場は13年に623億円だったのが、23年は2580億円の見込みに。10年で4倍以上に市場が膨らんでいます。プロテインブームが慢性腎臓病患者の増加に影響している可能性は否定できないのではないでしょうか。
参考にしたのはこれか？
https://www.fuji-keizai.co.jp/press/detail.html?cid=23088&view_type=2
っていうか2100万人ってどこの情報？ぐぐるとこいつの記事ばっかでてくるんだけど
透析患者は昭和からずーっと順調に増えてる、なんで2010年代だけ切り取ったのか謎
https://www.ncvc.go.jp/hospital/section/ld/hypertension/detail02-2/
めんどくさいからChatGPTに聞いてみた
プロテイン摂取と慢性腎不全（CKD）との関係については、いくつかの研究が行われていますが、結論は一概には言えません。以下はその概要です。
•健康な腎機能を持つ人々において、高たんぱく食が直接的に腎不全を引き起こすという強い証拠はありません。多くの研究で、適度なプロテイン摂取は一般的に安全であるとされています。
•ただし、極端な高たんぱく食が長期間続く場合、腎臓に負担がかかる可能性があるため、バランスの取れた食事が推奨されます。
•CKD患者においては、高たんぱく食が腎機能の悪化を加速する可能性があるとされています。
•低たんぱく食は、CKDの進行を遅らせるために推奨されることが多いです。これは腎臓への負担を軽減するためです。
研究の具体例
•Mitch WE, et al. (2002): 低たんぱく食はCKDの進行を遅らせることが示されています【Mitch WE, Remuzzi G. Diets for patients with chronic kidney disease, should we reconsider? BMC Nephrology, 2002】。
•Knight EL, et al. (2003): 高たんぱく食が腎機能低下のリスクを増加させることが示唆されています【Knight EL, Stampfer MJ, Hankinson SE, Spiegelman D, Curhan GC. The impact of protein intake on renal function decline in women with normal renal function or mild renal insufficiency. Ann Intern Med, 2003】。
プロテイン摂取と慢性腎不全の関係は、腎機能の状態によって異なります。健康な人々にとって適度なプロテイン摂取は一般的に安全とされますが、既に腎機能が低下している人々にとっては、高たんぱく食がリスクを増加させる可能性があります。したがって、CKD患者は医師の指導のもとで適切な食事管理を行うことが重要です。
この著者、牧田 善二って人、プレジデントオンラインでずーっと同じこと言ってるんだな
著書の評判とか割と高いけど、とんでも判定はされてないのか？謎だなあ
https://president.jp/list/author/%E7%89%A7%E7%94%B0%20%E5%96%84%E4%BA%8C
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Media made us restrict our movements during COVID-19, and it had a very big impact. I checked Twitter and TV every day to see how many people were getting COVID-19, being hospitalized, and dying. Japanese TV showed videos of people on artificial respirators in hospitals, which was shocking and made me afraid to go out. I worried that if I got COVID-19, I would end up in the hospital on a respirator and might die. After watching those shows, I couldn't watch regular news on TV because I was so scared of COVID-19.
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