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はてなキーワード: togetherとは

2025-02-24

anond:20250224230604

今の最先端Tiktokとかやろか…😞

ホッテントリではTiktokInstagramも全く見かけずX(Together)と増田ばかりブクマされてる気がする

2025-02-17

anond:20250215173232

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、必要追記をすることにしたいと思います


 英語圏での"concrete"という語について

当方の下記記載についてご指摘いただいたもの理解しています

日本だと(英語でも)コンクリートというと普通セメントコンクリートを指します。

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、当方記載趣旨は、前段のアスファルトコンクリート記載も踏まえて、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


 ご指摘「鉄筋コンクリートベストフレンドで最強なのは何故? 」について

(1) 鉄筋とコンクリートの熱膨張率がほぼ同じだから

(2) 引っ張りに強く圧縮に弱い鉄筋と、圧縮に強く引っ張りに弱いコンクリートが、力学的に補い合うから

(3) 酸性になると酸化腐食やすい鉄筋を、塩基性コンクリートが、長期間にわたって化学的に保護してくれるから

ここはすいません、追記前の最初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)鉄筋コンクリートメリットだけを説明するにとどめました。仮に鉄筋腐食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。


 鉄筋の腐食機序について

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理解しています


 コンクリート舗装道路について

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、今の記載しました(自分材料屋だったので)。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)。

とはいえこちらセメント協会資料(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」という趣旨記載があるので、ざっくり現代日本アスファルト舗装が多い理由説明するなら、これが一番正解に近いのでは、と思いました。


 ご指摘記事コンクリート寿命について。

こちらは自分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。


 ご指摘記事の高機能コンクリートについて

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


 最後

自分記事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

自分大学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・・・


ここまで読んでいただくのは相当ご関心をもっていただいた方だと思うので、改めて本当に感謝したいと思います

2025-02-09

anond:20250209053203

元増田です。

deep researchを使うと必ず一回はリサーチ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ちょっと変わるかもしれない。

ちなみに

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

1番目は言語設定が英語だったけど、日本語ソース多めだった

生成AIアンチAI運動多角的分析

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.

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Read jbpress.ismedia.jp

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

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Read rieti.go.jp

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.

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Read ja.wikipedia.org

以下略

2番目は言語設定が日本語だったけど、英語ソース多めだった

生成AIへの抵抗運動社会政治的影響の分析

ChatGPT

生成AIに対する抵抗運動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、将来の技術社会共存展望

生成AIの影響範囲さらに掘り下げるため、Ludditeの歴史的背景、デジタル技術社会的動向、地域差異、そして未来展望について詳細な分析実施中。

社会経済文化倫理政治視点から、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

ラダイト運動や新ラダイト運動の文献が豊富だね。

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en.wikipedia.org を読み込みました

ChatGPT

主な内容に「ネオダイト」が見当たらない。

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若者について触れている。

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theatlantic.com を読み込みました

ChatGPT

このアトランティックの記事モリー・クラベイブルの活動を扱っている。

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theatlantic.com からさらに読み込みました

ChatGPT

ラッダイト運動現代の動きと結びつけ、AI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歴史現代的な抗議のつながりを模索している。

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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生産性向上が収益を所有者に集中させ、労働者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PRISMプログラムに対する抗議、GDPR導入からまり、Cambridge Analyticaスキャンダル引き起こした#DeleteFacebook運動Mark Zuckerberg証言など、幅広い活動がある。

Searched for techlash and privacy backlash

ChatGPT

ケンブリッジアナティカの事件2018年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を一時的禁止し、EUAI法案2024年施行予定。芸術コミュニティ規制ボイコット運動が見られる。

Searched for 2023 writers strike AI agreement

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wired.com を読み込みました

ChatGPT

契約AI使用制限や透明性を求め、創作者を保護している。これは職業未来に対する警戒心を示している。

Searched for EU AI Act regulations 2023

ChatGPT

EUAI規制案、米国競争政策中国使用規制の摩擦を分析している。

Searched for China generative AI regulation 2023

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reuters.com を読み込みました

ChatGPT

中国AI支援制御バランスよく進め、内容は社会主義の核心価値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

Searched for AI impact on developing countries

以下略

2025-02-07

Best Dating App Opening Lines

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]


Why Your First Message Matters

Before we get into the best opening lines, let’s talk about why your first message is so important.

1. First Impressions Count

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.

2. It Sets the Tone

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.

3. It Shows Effort

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.


The Best Dating App Opening Lines (And Why They Work)

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.

1. The Playful Opener

2. The Compliment Opener
  • Why It Works: Compliments make people feel good, especially when they’re specific and genuine.

3. The Question Opener

4. The Shared Interest Opener

5. The Bold Opener
  • Why It Works: Confidence is attractive, and this type of opener shows you’re not afraid to be bold.

6. The Quirky Opener
  • Example: “Quick: pineapple on pizza—yes or no? This could determine our compatibility.”
  • Why It Works: Quirky openers are memorable and show off your unique personality.


Tips for Crafting Your Own Opening Lines

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:

1. Personalize It

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.

2. Keep It Light and Fun

Avoid heavy or overly serious topics right off the bat. Keep the tone light and playful to make the conversation enjoyable.

3. Be Yourself

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.

4. Avoid Clichés

“Hey” or “What’s up?” might be easy, but they’re also forgettable. Put in a little effort to stand out.

5. End with a Question

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


Why MixerDates is the Perfect Place to Practice Your Opening Lines

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:

1. A Welcoming Community

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.

2. Profiles That Spark Conversations

Our users create detailed profiles that make it easy to find shared interests and craft personalized opening lines.

3. A Focus on Authenticity

We encourage our community to be genuine and kind, so you can feel confident starting conversations without fear of judgment or rejection.

4. Success Stories

Don’t just take our word for ithere’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!”


Key Elements to Finding a Mutual Connection

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:

1. Shared Values and Goals

A strong connection starts with alignment on the things that matter most. Do you share similar values, life goals, or visions for the future?

2. Emotional Availability

Look for someone who is willing to share their thoughts, feelings, and vulnerabilities—and who encourages you to do the same.

3. Mutual Effort

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

4. Respect for Individuality

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.

5. Open and Honest Communication

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.

2025-02-02

Chatgptが答えた異星人の存在可能性とのそのロジック

Please consider the histroy 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.

Assessing habitable zones

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.

Charting speculative odds

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.

Revisiting exoplanet options

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.

Clarifying speculative nature

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.

Mapping out speculative odds

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.

Assessing likelihoods

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 thatbased 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%

TRAPPIST-1 e ~1.5%

TRAPPIST-1 f ~1%

TRAPPIST-1 g ~1%

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.

Nearby Exoplanets:

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%).

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

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.

A Final Note

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

Clarifying the Drake Equation

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.

Assessing the Drake Equation

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 Drake Equation

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:

Well-Known Parameters:

Some factors, like

𝑅

R

(star formation rate) and

𝑓

𝑝

f

p

(fraction of stars with planets), have become better known through modern astronomy.

Highly Speculative Factors:

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.

Heuristic, Not Predictive:

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.

Opinion-Based?

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.

Conclusion

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.

Reflecting on potential

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.

Analyzing parallel evolution

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.

Evaluating life exploration

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.

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

Chatgptが答えた異星人の存在可能性とのそのロジック

Please consider the histroy 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.

Assessing habitable zones

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.

Charting speculative odds

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.

Revisiting exoplanet options

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.

Clarifying speculative nature

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.

Mapping out speculative odds

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.

Assessing likelihoods

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 thatbased 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%

TRAPPIST-1 e ~1.5%

TRAPPIST-1 f ~1%

TRAPPIST-1 g ~1%

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.

Nearby Exoplanets:

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%).

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

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.

A Final Note

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

Clarifying the Drake Equation

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.

Assessing the Drake Equation

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 Drake Equation

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:

Well-Known Parameters:

Some factors, like

𝑅

R

(star formation rate) and

𝑓

𝑝

f

p

(fraction of stars with planets), have become better known through modern astronomy.

Highly Speculative Factors:

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.

Heuristic, Not Predictive:

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.

Opinion-Based?

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.

Conclusion

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.

Reflecting on potential

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.

Analyzing parallel evolution

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.

Evaluating life exploration

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.

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

2025-02-01

海外の曲で日本語が出るとうれしい

海外日本語看板を見たような感覚になる。

StyxMr.Robot

最初日本語に聞こえなかった。

タコトなのもロボット感があってマッチしている。

QueenTeo Torriatte(Let Us Cling Together)」

歌詞がとても良い。Queenで一番好きかもしれない。

FFS「So Desu Ne

ケンゾー着物ハローキティのウージーを持つ女が出てくる。

Sparks日本思い入れがあるんだろうなあ。

The Police「De Do Do Do, De Da Da Da

日本語バージョンがある。Sting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。

Sam Kapu「Chotto matte kudasai」

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。

South Park「Let's fighting love

サウスパークの曲。

いえ、忍者がいます〜〜!!

BRAHMAN × Fire EX.兼愛非攻

日英中の三カ国語。最初から最後まですごくカッコいい。

2025-01-22

はてぶの記事って増田4割・Togetter3割・ニュース2割・その他1割みたいな印象やけどTogetherなくなったら増田一狂になりそうやな

2024-11-28

anond:20241128034523

Jなんかろくなの出てこないかK-POP聴きましょう

日本不快男性高音歌手群と、BTSTOMORROW X TOGETHERでは同じ高音というカテゴリであっても質が全く違う

内田雄馬は良いと思う

2024-11-22

紅白歌合戦2024、知らない人ばっかりだ!!

だそうだ、お前ら何人(何組)わかる?

時代についてイケてるかチェックしてみ

https://jisin.jp/entertainment/entertainment-news/2398006/

 

紅組

aikoあいみょん、ILLIT、石川さゆりイルカHY坂本冬美欅坂46椎名林檎Superfly高橋真梨子、tuki.、天童よしみ、TWICE、乃木坂46、ME:I、MISIA水森かおり緑黄色社会LE SSERAFIM

白組

Omoinotake、Creepy NutsGLAY郷ひろみ、こっちのけんと、THE ALFEE、JO1、純烈Da-iCETOMORROW X TOGETHER、Number_i、新浜レオン、Vaundy、BE:FIRST、福山雅治藤井風、星野源Mrs. GREEN APPLE南こうせつ三山ひろし山内惠介

 

知ってる

紅組 14/20

白組 14/21

合計 28/41

 

どや?

 

初出場のみにしてみよう

 

紅組

ILLIT、tuki.、ME:I

白組

Omoinotake、Creepy Nuts、こっちのけんと、Da-iCETOMORROW X TOGETHER、Number_i、新浜レオン

 

知ってる

紅組 1/3

白組 3/7

合計 4/10

 

うーん

2024-11-20

anond:20241120002035

ブロック2の途中まで

特別企画キンタロー。×白組ゴジラ-1.0)「3D-VFX 顔まねメドレー」今年脱松し独立。以前より攻めたモノマネ。今年オールスター感謝祭などに出た際のシャイニングモノマネかと思われる

https://togetter.com/li/2405422

2024-10-16

anond:20241015220510

ヨッピー関連の批判だとバズりそうだよね。

ブコメが沢山ついて、Xやtogetherでこの話題が取り上げられて、ゆくゆくはabemaニュースで取り上げられるかも。

そうなればチンケな増田人生において承認欲求が大きく満たされるかもしれないもんね。

2024-07-30

ホロARKどう?

俺は楽しいんだけど

これにじさんじで見かけるよくない傾向な気がするんだけどどう思う?

 

ホロはARKで昔すげーバズったんだけど、公式が反応するレベル

それって

・各々初心者状態から手探りの配信をする

・思わぬコラボ

アクシデント面白い

・長時間配信視聴者ダル絡みする

ユーザーARKを始める

ここらへんだと思うんだけど

 

対して今のARK

ほとんどが玄人初心者は置いていかれている

・人が多すぎてワチャワチャしてる

タスクが多すぎて自由にできない

・V同士でばっか話てて視聴者との対話が少ない(個人的にこれがしんどい

 

まあそれでも一定面白いんだけどさ、V自体面白いから

企画ではないよね

特に視聴者との絡みがいうほど少ないっていうのと

配信枠取ってる人が少ない上に人が数人の人気Vに掻っ攫われてるのが気になる

かと言ってこの企画あん無視できる感じでもないし

例えばChained Togetherとかと比較するとさ

 

Vが考えた運動会とかの方が上手く行ってるの気になるんだよな

2024-07-21

anond:20240721134326

14本ですね。

順位アーティストジャンル
1 SUPERNATURAL NEWJEANS K-POP
2 DARUMADARUMAS
3 本日おすすめ離婚伝説
4 FEELSLIKEIMFALLINGINLOVECOLDPLAY
5 BURNING 文学
6 EARTH, WIND AND FIRE(JAPANESE VER.) BOYNEXTDOOR K-POP
7 SMALL GIRLLEE YOUNG JI FEAT. D.O.K-POP
8 EVERY HOUR SALA K-POP
9 EVER SEEN BEABADOOBEE K-POP
10HUSH HUSH BE:FIRST × ATEEZ K-POP
11 HOT UPTOWN CAMILA CABELLO FEAT. DRAKE
12 踊りませんか? AILE THE SHOTA
13 透明 RLOEVO
14 ラッキーカラーあいみょんK-POP
15 ROCKSTAR LISA
16 MUM CHILLI BEANS.
17GOOD MORNING a子
18 UNDEAD YOASOBI
19 触れる唇 XINU
20WOMAN'S WORLD KATY PERRY
21 LIFT YOU UP JESSIE WARE & ROMY
22 OVALL FEAT. さら
23PERFUME PALE WAVES
24GOOD TOGETHER LAKE STREET DIVE
25 YOUNG MAN HYUKOH, 落日飛車K-POP
26 MY BODY IS CUTE 詩羽
27 ADD UP MY LOVE CLAIRO
28 RAZE THE BARTRAVIS
29 BAD LOVE GODHOPE TALA
30 DREAMBEND KESSONCODA
31 HOT MESS AESPA
32 SHARONOFFICIAL髭男DISM
33 SMERALDO GARDEN MARCHING BAND JIMIN FEAT. LOCO
34 ホムンクルス VAUNDY
35 YATTAAMAN MISIIN
36 恋のブギウギナイトサザンオールスターズ
37 赤猫 水曜日のカンパネラ
38 イリーストーン名子
39 DIVE TWICE K-POP
40 DUSKY DOLPHIN NATSUDAIDAI
41 POUR ME A DRINK POST MALONE FEAT. BLAKE SHELTON
42 NEVER LET GO JUNG KOOK K-POP
43 BIRDS OF A FEATHER BILLIE EILISH
44 HOW SWEET NEWJEANS K-POP
45 私のモネLILY
46 ふたりBGMGOOD BYE APRIL FEAT. 土岐 麻子
47 LUV STUCK SALUTE AND PIRI
48 うつつ鈴木 真海
49 DONE WITH YOUOMAR APOLLO
50 THE RAIN THE BURNING DEADWOODS FEAT. KENTA DEDACHI
51 TIMEOLIVIA DEAN
52 SHIKATO!!! NOVEL CORE
53 FOREVER BABYMONSTER
54 LIFT OFF! SALUTE, DISCLOSURE
55 マーメイド水曜日のカンパネラ
56 若者のすべて SUIS FROM ヨルシカ
57 あつまれ MONJE
58 RIGHT NOW NEWJEANS K-POP
59 SISTERチョーキューメイ
60 SIDE QUEST PEARL & THE OYSTERS
61 DON'T MFS
62 君はハニーデュー 日向坂46
63 RED今市 隆二
64 MAGNETIC ILLIT K-POP
65 OONTZ MICHELLE
66 毎日 米津 玄師
67 アイワ 冨岡 愛
68 DANCE WITH THE DEVIL BLXST AND ANDERSON .PAAK
69 EVERYTIME BAKAR FEAT. LANCEY FOUX
70 SHE'S GONE, DANCE ON DISCLOSURE
71 CUBISM OVALL
72 WHITE LIES NEWSPEAK
73 BUBBLE GUM NEWJEANS K-POP
74 鬼ノ宴 友成
75 LITHONIA CHILDISH GAMBINO
76 HEAVENLY HELL STEVE AOKI FEAT. NE-YO
77 YELLOW BIG HEADER ピーナッツくん
78 あなたへ手紙スガシカオ
79 SEXY TO SOMEONE CLAIRO
80 ECHELON80KIDZ, SASCHA
81 LOSE MY FOCUS RAVEENA
82 SAY KESHI
83 SO GOOD REIKO
84 RISK GRACIE ABRAMS
85 REALLY LOVE今市 隆二 FEAT. HIROMITSU KITAYAMA
86LOVE BANDITZ OWV
87 CINDERELLA REMI WOLF
88 BLAZE三代目 J SOUL BROTHERS FROM EXILE TRIBE
89 HOW FAR IS YOUR LOVE SURFACES WITH LOS LONELY BOYS
90 FANTASYDEF TECH
91 一日花東京スカパラダイスオーケストラ FEAT.IMASE&習志野高校吹奏楽部
92 NO PROBLEMS GINGER ROOT
93 GOOD LUCK, BABE! CHAPPELL ROAN
94 CITY HABITS BRKFSTBLEND
95 モウショ YAMORI
96 I HAD SOME HELP POST MALONE FEAT. MORGAN WALLEN
97 HOT TO GO! CHAPPELL ROAN
98 ハチ 折坂 悠太
99 I'M FREE PARIS HILTON & RINA SAWAYAMA
100 STEP BY STEPTAIKING FEAT. 荒谷 翔大

2024-07-16

Togetherピュアすぎない?

https://x.com/mikanuji/status/1812343042420134100?s=46

こんなバレバレの嘘をみんな見まくるからランキングに上がってるわけだけど

いや、一瞬で嘘ってわかるじゃん

詐欺に合わないか心配

2024-06-28

To you, the creator, I sincerely hope this message reaches you.

It's sudden, but right now in Japan, creativity is facing a true crisis. Characters like Uzaki-chan, Onsen Musume, and Tojo Rika are being targeted and flamed, game character designs are being infiltrated by political correctness, Johnny's Entertainment is being dismantled, swimsuit photo sessions in parks are being canceled, Hitoshi Matsumoto is being publicly shamed, and the new AV law was enacted without considering the opinions of those directly involved. Every form of expression in every venue is currently under unreasonable pressure.

How does this connect to the Tokyo gubernatorial election? In fact, a major event directly linked to this is occurring in the 2024 Tokyo gubernatorial election. As a creator, I hope this message reaches you.

What I am about to share is a story about someone named Himasora Akane, who you should know about to resist such pressures. But before I dive into that story, I want to express my deep gratitude to my old friend Nozomi for giving me the opportunity to post this article in a place where many creators will see it. As someone who also loves manga, anime, and games, I hope this information will benefit Japanese society and support Nozomi's activities.

Himasora Akane Should Be the Governor of Tokyo

First, I would like to make a straightforward request to you as a creator: please support Himasora Akane for governor. In this election, please write "Himasora Akane" on your ballot. The voting day is July 7th. Even if you are not a Tokyo resident, I ask that you at least listen to this story. If you find it interesting, please share it with your friends, family, and acquaintances. You can check Himasora Akane's campaign promises and the background of their candidacy on their Twitter (X) posts linked below:

Himasora Akane (Tokyo gubernatorial candidate)

@himasoraakane

https://x.com/himasoraakane/status/1804846779399324095

Himasora Akane Will Not Allow Our Culture to Be Burned

Himasora Akane is an ordinary otaku who loves manga, anime, and games. Known as "Cognitive Profiling Detective Akane Himasora," he has been active on Twitter (X) and YouTube, and now he is running for governor. Akane, who is deeply concerned about the repression and destruction of otaku culture, is challenging those who seek to destroy our culture alone. Akane will never allow those who try to burn our culture.

As mentioned at the beginning, all forms of expression are currently under pressure. Otaku culture, in particular, seems to be a prime target.

Uzaki-chan Blood Donation Poster Controversy (2019): A collaboration between the Japanese Red Cross Society and the manga Uzaki-chan was flamed for allegedly being overly sexual in its PR illustration.

V-Tuber Traffic Safety Video Controversy (2021): A V-Tuber hired by the Matsudo Police Department in Chiba Prefecture was deemed too sexual for public agency PR.

Onsen Musume Controversy (2021): Characters personifying local hot springs were criticized as sexist.

Mie Transport Official Character Controversy (2024): A character in a bus driver's uniform released by Mie Transport was flamed for evoking sexual images.

These controversies are often fueled by so-called political correctness and feminism. For creators, these are direct threats. If these factions label your work as sexual and demand it be burned to ashes, could you resist? How would you feel if your painstakingly created work, like your own child, was trampled by people who have no regard for your efforts? Could you continue your creative activities while constantly shrinking away?

Himasora Akane saw something behind these flaming incidents. He started investigating the key figure behind the Onsen Musume controversy, a representative of a general incorporated association in Tokyo. This association's core business, the Young Female Victims Support Project, received substantial public funds from Tokyo. Akane submitted public document disclosure requests to Tokyo and thoroughly dug into the organization. During his investigation, Akane uncovered many suspicions suggesting this project was unworthy of public funding, which he exposed one by one on social media.

Negligent accounting reports, taking protected girls to the Henoko base protest in Okinawa, Communist Party members waiting in the bus used to protect girls—these revelations drew significant attention online. The investigation extended beyond this general incorporated association to other NPOs receiving public funds, and Akane named this cluster of issues the "WBPC problem" after the initials of these organizations.

Akane's YouTube Channel (WBPC Problem Playlist)

https://www.youtube.com/playlist?list=PLI5gTciLKtAXRyzv9j5FiNMcc8eoEBbMN

From here, Akane's story expanded to resident audits, resident lawsuits, and national compensation lawsuits concerning the Tokyo Young Female Victims Support Project. Akane discovered that behind many flaming incidents, there is no clear command structure but a group of various political organizations and activists working together like an amoeba. He named this group the "Nanika Group" (Nanika means "something" in Japanese), a reference to the mysterious, ominous "something from another place" in the manga HUNTER×HUNTER, which Akane loves. The Nanika Group is also connected to welfare interests, where public funds flow unchecked. Akane called this phenomenon "Public Fund Chu-Chu" (siphoning).

For creators, this means the tax money they earn through hard work is used to burn their precious works. It's an intolerable situation.

Himasora Akane Is Fighting Against Those Who Burn Our Culture

In November 2022, a major event marked a turning point in this series of controversies. The general incorporated association under scrutiny held a press conference at the parliamentary office building, gathering media and announcing a lawsuit against Akane. This "Legal Harassment Press Conference," as it was called online, involved multiple layers of power: the government, the media, and a team of seven lawyers targeting a single individual.

However, Akane did not back down. Instead, he intensified his pursuit, exploiting the opponent's careless statements as lawsuit fodder. This led to an outpouring of support on social media, with his Twitter follower count skyrocketing and 160 million yen in donations for legal fees.

The following year, a resident audit request filed by Akane resulted in Tokyo's official website recognizing some improper points and deciding to audit the organization. However, Tokyo's lenient audit led Akane to file a resident lawsuit. Suspicion also turned towards Governor Yuriko Koike for allocating public funds through dubious sole-source contracts. Tokyo began excessively redacting documents in response to public document requests, attempting to conceal the issue. Koike's promise to end document redaction quietly disappeared from her campaign page.

Throughout this battle, Akane has been a target of criminal complaints and faced threats, yet he persists. His book "Netoge Senshi" was released amid bookstore threats, but only the criminal complaint was widely reported by the media, portraying Akane negatively.

Who Is Himasora Akane?

Himasora Akane is an ordinary otaku, a top-tier online gamer during his student days, and a talented game creator who worked for a major game company and later a venture company. His meticulous work on the game "Shin Goku no Valhalla Gate" was betrayed by the company's CEO, leading to a seven-year legal battle that Akane ultimately won, securing 600 million yen. This experience fuels his fierce opposition to having his creations burned.

Before investigating the Young Female Victims Support Project, Akane exposed fraudulent feminist "knights" on his YouTube channel, shaking the internet. He detests lies and has an uncanny ability to detect them.

Akane is a special individual with extraordinary abilities, honed through his experiences in games, court battles, and extensive document analysis. His pursuit of truth and justice makes him a suitable candidate for governor, promising a world without lies and where honest people do not suffer.

What We Can Do to Protect Our Culture

Creative expression can be crushed if we are not vigilant. Even in modern Japan, otaku culture is on thin ice. The recent cessation of Visa transactions for DMM (Fanza) is a reminder of how a single card company can wield its power to dictate what is deemed appropriate expression. Expression freedom is fragile and constantly under threat.

To those reading this, I urge you to vote for Himasora Akane. Support him to protect our culture. Despite his harsh demeanor and preference for solitary battles, he is now seeking help for the first time. Akane feels the danger in this gubernatorial election and believes that if he does not become governor, everything will end. He has taken a stand for the people of Tokyo and Japan.

I wrote this article to support his spirit and spread the word. Please vote for Himasora Akane and help create a miracle.

To you, the creator, I sincerely hope this message reaches you.

Please, I beg you.

2024-06-16

嘘松スランプに陥ってしまったのだ

どうもエックスTwitter)で嘘を書いてRT数を

稼いでる、所謂嘘松ラーです

スペックとしてはまあ、100RTぐらいは

行ったことがあるぐらいか

ここでも200ブコメぐらいは稼いだけど笑

そんな私ですが、2週間前ぐらいから嘘ポスト

出来なくなってしまったのです。前までは小説を書くみたいに架空女子高生脳内に配置して

さらっと嘘つい(ポスト)が出来たのに

最近は「こんなんじゃダメか!」とおもい

投稿する前に削除してしまます

Togetherを見るとすごいみんなの嘘松が読め、

羨ましいし悔しいです

から近所を散歩してみるのですが、政治にそんな文句言う人も大人論破する小学生も遭遇しません。タヌキの死体を見つけましたが、何も思いつきませんでした。

どうしてみんなそんな一生懸命嘘を書いて

嘘で稼げるのか分かりません

ああ、宿題が終わらない…

2024-05-28

嘘松Togetherまとめを作ってる人って虚しくならないのかな?

最近Togetherのまとめに嘘松ツィ(ポスト?)

をまとめたものをよくみかける

一番最初に嘘ツイ→つまらなそうな本のリンク

貼る→返信の嘘ツイを貼るなどの流れ

読んでて私はこの人は生きていて何が楽しいのだろうかと思う。嘘で注目を集めて嘘で金を稼ぐ

しかも、元の嘘ツイした人には無断で

これで虚しくならないのだろうか

それにしてもリンクに貼ってある本のつまんなそーなことよ。せめて自分が読んでいいなと思った本を貼ればいいのに

2024-05-19

はてなブックマーク人気エントリー(総合)

13 togetter

5 NHK

3 匿名ダイアリー

3 朝日新聞デジタル

3 読売新聞オンライン

2 Daily Portal Z

2 Qiita

18 その他

togetterって嘘ばっかなのに何でこんなに人気あん

人気エントリーは基本ニュース系なのにtogetherだけこれだけ人気あるのは明らかに異質なんだけど

2024-05-07

Togetherランキングみるのや〜めた!

Togetherランキングあるじゃん

人気のまとめが並んでるやつ

あれ毎日見てたけどもうやめた

だって間に挟まれリンク邪魔なんだもん

まとめに関係あるならまだいいけどさ

見たくもない本のAmazonリンクが貼ってあったらそれだけでや〜や!ってなる

しかも多い時はそれがみっつぐらいある

いや、どんだけアフリェイ収益欲しいんだよって

からもうTogetherランキングみるのおわり

見たくもない本のリンクさよなら

ちょっと前に上がってた嘘松もきれいさっぱり

忘れちゃいます

でも本棚リンクから買ってしまった本が一冊だけあったり…する

2024-04-16

スカのプレイリストが100曲になったので

公開してみる

スカ好き増えろ

あとおススメ教えてください

1, 東京スカパラダイスオーケストラ/ ルパン三世’78

2, 東京スカパラダイスオーケストラ/ DOWN BEAT STOMP

3, 東京スカパラダイスオーケストラ/ 燃えよドラゴン

4, 東京スカパラダイスオーケストラ/ Come On

5, 東京スカパラダイスオーケストラ/ スキャラバンCARAVAN

6, 東京スカパラダイスオーケストラ/ 太陽にお願い

7, 東京スカパラダイスオーケストラ/ 勇者の証~Brave Eagle Of Apache

8, 東京スカパラダイスオーケストラ/ フィルムメイカーズブリード~頂上決戦~

9, 東京スカパラダイスオーケストラ/ 5 days of TEQUILA

10, 東京スカパラダイスオーケストラ/ MONSTER ROCK

11, 東京スカパラダイスオーケストラ/ Glorious

12, 東京スカパラダイスオーケストラさかなクン/ Paradise Has No Border

13, 東京スカパラダイスオーケストラ宮本浩次/ 明日以外すべて燃やせ-feat.宮本浩次

14, 花田ゆういちろう/ ブー!スカ・パーティー

15, ランシド/ Time Bomb

16, Adhesivo/ Skabullido

17, Adhesivo/ Autopisteando

18, Adhesivo/ Dia De Rutina

19, Bad Manners/ Inner London Violence

20, Brooklyn Funk Essentials,Laço Tayfa/ Ska Ka-Bop

21, Desorden Público/ Allá Cayó

22, Desorden Público/ Todo Está Muy Normal

23, Doberman/ leap for joy

24, EGO-WRAPPIN’/ くちばしにチェリー

25, Gelugugu/ One Two

26, Gelugugu/ I Love Ska Punk

27, Gypsy Ska Orquesta/ Toston Swing

28, HEY-SMITH/ Dandadan

29, HEY-SMITH/ Proud And Loud

30, HEY-SMITH/ Still Ska Punk

31, HEY-SMITH/ We sing our song

32, KEMURI/ P.M.A(Positive Mental Attitude

33, KEMURI/ Ohichyo

34, KEMURI/ O-zora

35, Kingston Rudieska/ Giant Moment

36, Kingston Rudieska/ Captain J

37, LÄ-PPISCH/ RINJIN

38, Laurel Aitken/ Jesse Jackson

39, Los Calzones/ Mala Vida

40, Los Calzones/ Todos Te Prometen

41, Los De Abajo,Diego Benlliure,José Grela / WarPeace

42, Madness/ One Step Beyond

43, Markscheider Kunst/ Ku

44, Melbourne Ska Orchestra/ Get Smart

45, Melbourne Ska Orchestra/ Lygon Street Meltdown

46, Nancy Ska Jazz Orchestra/ Hatcha!

47, Nancy Ska Jazz Orchestra/ Démineur

48, Nancy Ska Jazz Orchestra/ Tom Thumb

49, New York Ska-Jazz Ensemble/ Boogie Stop Shuffle

50, New York Ska-Jazz Ensemble/ Bopicana

51, Oi-SKALL MATES/ Bring on Nutty Stomper fun

52, Oi-SKALL MATES/ Skinhead Running

53, Oi-SKALL MATES/ Soul brother stomp together

54, Oi-SKALL MATES/ Justice Calling 69

55, Oi-SKALL MATES/ Nutty Sound Oi-SKALL MATES

56, Oi-SKALL MATES/ SKANKIN' CLASS ERO

57, Out Of Control Army/ Global Ska

58, Out Of Control Army/ Dancing

59, Out Of Control Army/ El Diablo

60, Out Of Control Army/ Fuck the police

61, Out Of Control Army/ Skaloween-En Vivo

62, Out Of Control Army,Inspector/ Siempre Fingiste Amarm

63, Pannonia Ska Orchestra/ Sahara

64, Redska/ Laghi di sangue

65, Reel Big Fish/ Sell Out

66, Rotterdam Ska-Jazz Foundation/ Backlash

67, Rotterdam Ska-Jazz Foundation/ No More Sorrow

68, Rotterdam Ska-Jazz Foundation/ Tunisia

69, Save Ferris/ The World Is New

70, SCAFULL KING/ Strutting Bonin’

71, SHOW-SKA/ 燃ゆるマドリード

72, SHOW-SKA/ Scooted Scorpion

73, SHOW-SKA/ ストライクドッグ

74, Skalariak/ Sarrera Ⅱ

75, Ska-P/ Welcome to Hell

76, Skaramanga/ Ska Ska

77, Skaramanga/ Prasemonger

78, Skassapunka/ Il pianto dell'asino

79, St.Petersburg Ska-Jazz Review/ Volga River Boat Man

80, The Busters/ Scooter Maniacs

81, The Fenicians/ Sac-O-Woe

82, The Locos,Bersuit Vergarabat/ La Bolsa

83, The Mighty Mighty Bosstones/ The Rascal King

84, The OLDTONES/ THE WEEKEND GIRLFRIEND

85, The Ska Flames/ Samurai

86, The Ska Flames/ Tokyo Shot

87, The Ska Vengers/ Vampire

88, The Ska Vengers,Rie Ona,Shirish Malhotra/ Mancini Skank

89, The Skankaroos/ Expedition To Ska

90, The Skankaroos/ Ska Music

91, The Specials/ Little Bitch

92, The Super Glasses Ska Ensemble/ Keep Skanking

93, The Toasters/ 2-Tone Army

94, Tinez Roots Club/ High Jump

95, Tinez Roots Club/ Crazy Mule

96, Tinez Roots Club/ Chimpanzee

97, TRI4TH,カルメラ/ Horns Riot

98, Two Tone Club/ Beware Of The Tiger

99, Two Tone Club/ Three Little Words

100, Киоск/ Чудеса

追記

一晩経ったら伸びててビックリ

スカパラから入った浅いファンなので,厳密なスカの定義とかよく知らないんです.ご教授いただけると嬉しいです

運転中に聴くことが多いのでアップテンポテンション高めの曲が多いです

・ホーン強めの曲が好き.なんならボーカルはなくても可

Spotifyプレイリストからの引き写しです.タイトル「スカ」SKA」両方が入っているプレイリストはそんなにないので見つけにくくはないか

・おススメいっぱいありがとうございますポチポチ追加しております

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