はてなキーワード: togetherとは
コンクリート自信なくしたニキです。ご指摘を色々いただいたので再度追記します。
特に、https://anond.hatelabo.jp/20250215185611は諸々直接的かつ詳細に指摘いただいたので、当方分かる範囲で諸々調べなおしました（勉強し直しのいい機会となりました。）
当方の記載も誤りや厳密でない記載多数含む思いますので、必要な指摘はぜひしていただくべきかと思います。
とはいえ、全体的にそこまで間違ってなくね！？とも思っているので、必要な追記をすることにしたいと思います。
当方の下記記載についてご指摘いただいたものと理解しています。
こちらですが、ご指摘いただいた通り、英語の"concrete"は形容詞として「具体的な」を含む意味を持っています。また、語源としてラテン語の言語は「ともに成長する(grown together)」、「混合された(compounded)」という意味を持っているようです（アイルランドコンクリート協会）。
他方で、当方記載の趣旨は、前段のアスファルトコンクリートの記載も踏まえて、名詞の"concrete"が通常「セメントコンクリート」を指し、「アスファルトコンクリート」を指さないことを記載することでした。その点では、ケンブリッジディクショナリーでもA.M_NevilleのConcrete_Technology（p.2の"What is concrete?"参照）でも、名詞の"concrete"としてセメントと水、その他を混ぜて作るコンクリート＝セメントコンクリートを特に注釈なく記載し、asphalt concreteなどは特段言及がないので、おそらく日本と同じ状況かなと思います。そのため元文はあえて修正しなくていいかと考えています。
ここはすいません、追記前の最初の記事から、提示いただいた(1)-(3)の３点（ただし(3)の２文目以降の鉄筋腐食の話を除く）は記載していたので、何をご指摘いただいたのかよくわかりませんでした。
最初の記事のこの部分では、（元々の本題の補足ですでに長い文章だったこともあり）鉄筋コンクリートのメリットだけを説明するにとどめました。仮に鉄筋腐食の記載がない点でご指摘をいただいていたのであれば、コンクリート工学の試験はこういうとこで減点されるんだな、と長年の疑問が氷解した次第です笑。
この点は機序について認識が足りておらず、とても勉強になりました。鉄筋付近のコンクリートの中性化が進行することが先で、その後に鉄筋が腐食する、という機序と理解しました。一応調べたところ、実際にそのような記載がある論文がありました。（これのp.8とか）
他方で、アルカリ＝塩基性で保護がなされているうちは腐食は生じないとしても、別の要因（凍害やアルカリシリカ反応（アルカリ骨材反応））でひび割れが進行し、（コンクリート構造物全体としては中性化が進行しなくとも）ひび割れ付近が中性化することで、局所的な腐食が生じうるため、元の記載のひび割れ→鉄筋腐食→ひび割れの拡大、という順序になることはありうる（ソース：農林水産省 １．コンクリートの主要な劣化と特徴、劣化要因の推定方法の例えば参1-9 や参1-10）ので、１００％間違えているわけでもないかな、と考えています。
修正も考えましたが、論文を執筆しているわけでもないし、「ひび割れ補修が重要」程度を伝えるのなら、先に中性化の話をするよりも今の流れのほうが読みやすいので、そのままにすることにしました。より適切な内容はいただいたご指摘やこちらの記事で記載しましたしね。
マンションの補修などを考えている方は、これを機会に一般向けでよいので関係する本を読むと、適切かつ網羅的な知識が得られるのでそちらをお勧めします。（自分の記事ではそんな重大な責任は負えないです笑）。
（追記）あと、別の方に、体積収縮によるひび割れも力学的な現象、とご指摘いただいていました。異論はないですが、これは補足をいただいたものと理解しています。
こちらは、自分も書いた後に読み返していて、ほかの要因もあるし断定しすぎかなぁと思ったのですが、すべての要因を挙げてもきりがないし、ここではアスファルトとコンクリートの固まるまでの時間までの期間の差を強調したかったので、今の記載にしました（自分は材料屋だったので）。せめて「値段もアスファルトのほうが安いなどの理由もあります。」くらいの記載にすべきだったな、と反省しています（が、ここまで指摘いただき自分でもエクスキューズしておいてそんなチンケな修正しても仕方ないので今のままにします）。
とはいえ、こちらのセメント協会の資料(特にp.3)を読むと、「自動車社会の到来で、緊急的な道路整備の必要性が生じるとともに、石油化学工業が発展して大量・安価なアスファルトが生まれたことで、施工・補修が容易で施工費が安いアスファルト舗装のメリットにより、アスファルト舗装時代が到来した」という趣旨の記載があるので、ざっくり現代日本にアスファルト舗装が多い理由を説明するなら、これが一番正解に近いのでは、と思いました。
こちらは自分もへぇーと思って読みました。既存建築物の６割は１００年超、というのは驚きでした。
こちらは、自分の「自己充填コンクリート（高流動コンクリート）」の話を補強してくださっているんだと理解しています。
自分がなれなかったコンクリート界のスティーブジョブズに、なってもらえる若者が登場することを切に願っています。
自分の記事がまさかこんなにバズって、いろんな方に読んでいただけるとは思っておらず、いろいろな方のご指摘を含めてとてもうれしかったです。
まさか１０年越しに、土日をつぶして、コンクリートの論文や参考資料と格闘する羽目になるとは、何が起こるかわかりませんね。厳密な記載を心がけようとすると、どれだけ調べないといけないのか…研究者の方には本当に頭が下がります。
自分の大学の講義に対する成績は碌なもんではなかったので、その点は修正しません。お察しの通りその後に大学院でコンクリート工学を修めており、その際の研究はどっぷりとはまり込んだので、その時の自分を裏切らないためにも、少々時間をかけて追加で調査をしてみた次第です。
（追記）あと、別の方に、コンクリ－ト・セメントが強アルカリで取り扱いには注意が必要、という点をブコメで補足いただいていました。これはすごく大事な指摘だと思います。セメントは手に付けたままだと手に穴が開くほど強アルカリですし（実際に怪我した方もいるようです）、セメントの粉じんも肺を炒めます。取り扱いにはくれぐれもご注意を・・・。
元増田です。
deep researchを使うと必ず一回はリサーチの方針を固めるための質問を聞き返してくるので、「具体的には～」の手前で区切って2回に分けて投稿した。この聞き返してくる質問（具体的に調べることの例示）によって「ああそういうのを調べるのもいいね」ってヒントになったりするので、自分で直接使うと使い勝手もちょっと変わるかもしれない。
シェアしたページからは見れないけど、どういうふうに調べていってるのか推論過程が表示されている。ChatGPTの言語設定によってその言語も変わるものの、それが結果に影響するのかは不明瞭だ（使っている印象ではただの飾りっぽくも見える）。仮に影響するとしたら、少なくともdeep research用のモデル（OpenAIはこれ専用のモデルがあると述べている）だと日本語の拙さが若干漏れ出ているので、言語設定は英語のままでいいや…という気持ちになった。
1. 日本語で指示（ChatGPTの言語設定: 英語）: ChatGPT - アンチAI現象分析
2. 日本語で指示（ChatGPTの言語設定: 日本語）: ChatGPT - アンチAI多角的分析
3. 英語で指示: ChatGPT - Anti-AI Resistance Analysis
ChatGPT
Piecing together a comprehensive analysis on cancel culture against generative AI or anti-AI resistance, covering social, economic, cultural, ethical, political, international, and historical perspectives.
Examining past and present anti-tech movements, such as the Luddite movement and early internet resistance, to draw parallels with current debates on generative AI.
Tracing how companies resisted digitalization, like newspapers and Napster, and their strategic shifts. Considering resistance to computing, including debates on universal adoption and regulatory responses.
Searched for AI technology impact on unemployment
ChatGPT
I'm capturing insights on international AI's workplace impact and EU job concerns. Progress is steady, yet data comparison remains elusive.
ChatGPT
In the EU, a survey from IE University shows 68% desire regulation to prevent job instability due to ChatGPT, up 18% from 2022.
Searched for technophobia and social anxiety examples
ChatGPT
I’m thinking about the implications of technology on social anxiety. This topic involves gathering insights and unpacking the interplay between tech and psychological impacts.
Searched for social anxiety about new technology
Searched for social anxiety and technology criticism
ChatGPT
Tracking public anxiety about job loss due to new tech. Comparing US and Japan, Americans are notably more anxious, which might hinder tech adoption.
Searched for examples of neo-Luddite movement
ChatGPT
I’m piecing together historical context with Wikipedia, examining modern neo-Luddite movements in Wired JP and news posts, and exploring cultural perspectives in Mainichi news and a blog.
ChatGPT
生成AIに対する抵抗運動とキャンセルカルチャーの関連を探りながら、社会、経済、文化、倫理、政治の各側面から現状を分析し、将来の技術と社会の共存を展望。
生成AIの影響範囲をさらに掘り下げるため、Ludditeの歴史的背景、デジタル技術の社会的動向、地域差異、そして未来の展望について詳細な分析を実施中。
社会、経済、文化、倫理、政治の視点から、生成AIに対する反発の要因を詳しく見ている。各国のアプローチも取り入れて、地域差異を掘り下げている。
生成AIの影響を社会、経済、文化、倫理、政治の観点から詳述し、各国のアプローチを線ずれしながら地域差異を明らかにしている。
Searched for Luddite movement history
ChatGPT
en.wikipedia.org を読み込みました
ChatGPT
Searched for Neo-Luddite resistance to technology
ChatGPT
アトランティック誌の「新しいラディテスは引かない」とは、スマホなどを拒否する現代の若者について触れている。
theatlantic.com を読み込みました
ChatGPT
このアトランティックの記事はモリー・クラベイブルの活動を扱っている。
ChatGPT
ラッダイト運動を現代の動きと結びつけ、AIやテクノロジーの影響を懸念する新たなラッダイトと同様の活動を示す。
Searched for protests against automation history
ChatGPT
ロボットが職を奪う未来、アカデミックな歴史と現代的な抗議のつながりを模索している。
smithsonianmag.com を読み込みました
ChatGPT
工業資本主義の新ロジックが、技術革新の利益を所有者に集中させ、労働者との分配を阻んでいる。AIの生産性向上が収益を所有者に集中させ、労働者のリストラを招く可能性が示唆されている。
Searched for resistance to surveillance capitalism
ChatGPT
ユーザーが「プライバシー活動 デジタル権利運動」と検索している。進展を確認し、重要な点をリストアップする。
Searched for digital privacy movement history
ChatGPT
個人情報保護運動やPRISMプログラムに対する抗議、GDPR導入から始まり、Cambridge Analyticaスキャンダルが引き起こした#DeleteFacebook運動、Mark Zuckerbergの証言など、幅広い活動がある。
Searched for techlash and privacy backlash
ChatGPT
ケンブリッジ・アナリティカの事件が2018年の技術の逆風の象徴であったことを確認している。公衆の怒りと規制需要が高まっているのが見て取れるね。
Searched for generative AI protests and lawsuits
ChatGPT
現在進行中の生成AI反発の動きとして、抗議活動、市場介入が挙げられる。イタリアがChatGPTを一時的に禁止し、EUのAI法案が2024年に施行予定。芸術コミュニティの規制、ボイコット運動が見られる。
Searched for 2023 writers strike AI agreement
wired.com を読み込みました
ChatGPT
契約はAI使用制限や透明性を求め、創作者を保護している。これは職業の未来に対する警戒心を示している。
Searched for EU AI Act regulations 2023
ChatGPT
EUのAI規制案、米国の競争政策、中国の使用と規制の摩擦を分析している。
Searched for China generative AI regulation 2023
reuters.com を読み込みました
ChatGPT
中国はAIの支援と制御をバランスよく進め、内容は社会主義の核心価値に合致しなければならないとしています。また、知的財産侵害を防ぎ、合法的なデータ源を使用する必要があります。2030年までに米国と競い、規制の先を進むためのガイドラインを設けています。
Let’s face it: starting a conversation on a dating app can feel terrifying. You see someone you’re interested in, you type out a message, and then… you delete it. “Is this too boring?” “Will they even respond?” “What if I sound awkward?”
We’ve all been there. That first message can make or break your chances of connecting with someone amazing. But here’s the good news: you don’t have to overthink it. With the right opening line, you can spark a conversation that feels natural, fun, and meaningful.
At MixerDates, we believe that every great connection starts with a great conversation. That’s why we’ve put together this guide to help you craft the best dating app opening lines—ones that stand out, show your personality, and lead to real connections. Ready to ditch the “hey” and start making an impact? Let’s dive in!
[:contents]
Before we get into the best opening lines, let’s talk about why your first message is so important.
Your opening line is your chance to make a great first impression. It’s the gateway to a conversation that could lead to something special. A thoughtful, creative message shows that you’re genuinely interested—not just swiping mindlessly.
Your first message sets the tone for the entire conversation. A boring or generic opener might lead to a dull chat, while a fun or intriguing one can spark excitement and curiosity.
Let’s be real: everyone loves feeling special. When you put effort into your opening line, it shows that you care enough to stand out. And on MixerDates, where we value authenticity and positivity, that effort goes a long way.
Now, let’s get to the good stuff—the best dating app opening lines that actually work. These are divided into categories to suit different personalities and situations.
While the examples above are great starting points, the best opening lines are the ones that feel authentic to you. Here are some tips to help you craft your own:
Reference something from their profile—a photo, a hobby, or a shared interest. It shows you’re paying attention and not just copying and pasting.
Avoid heavy or overly serious topics right off the bat. Keep the tone light and playful to make the conversation enjoyable.
Don’t try to be someone you’re not. If you’re naturally funny, lean into that. If you’re more thoughtful, go for a sincere compliment or question.
“Hey” or “What’s up?” might be easy, but they’re also forgettable. Put in a little effort to stand out.
This gives the other person an easy way to respond and keeps the conversation flowing.
At MixerDates, we’re all about creating a positive, inclusive space where you can feel comfortable being yourself. Here’s why our platform is the best place to put these opening lines into practice:
We welcome everyone, no matter who you are or who you love. Our platform is designed to be a safe space where you can connect with like-minded people.
Our users create detailed profiles that make it easy to find shared interests and craft personalized opening lines.
We encourage our community to be genuine and kind, so you can feel confident starting conversations without fear of judgment or rejection.
Don’t just take our word for it—here’s what one of our users had to say:
“I met my partner on MixerDates, and it all started with a simple message about our shared love for travel. The conversation flowed naturally, and the rest is history. I’m so grateful for this platform!”
While a great opening line can spark a conversation, building a real connection takes more than just a clever message. Here are the key elements to look for when seeking a meaningful connection:
A strong connection starts with alignment on the things that matter most. Do you share similar values, life goals, or visions for the future?
Look for someone who is willing to share their thoughts, feelings, and vulnerabilities—and who encourages you to do the same.
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.
日本語バージョンがある。Stingが日本語で歌っているのがなんか面白い。あとレゲエ感が増している気がする。
ハワイな曲。
なんで「ちょっと待ってください」を選んだんだろう。
サウスパークの曲。
だそうだ、お前ら何人（何組）わかる？
https://jisin.jp/entertainment/entertainment-news/2398006/
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
Omoinotake、Creepy Nuts、GLAY、郷ひろみ、こっちのけんと、THE ALFEE、JO1、純烈、Da-iCE、TOMORROW 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
白組 14／21
合計 28／41
どや？
初出場のみにしてみよう
ILLIT、tuki.、ME:I
Omoinotake、Creepy Nuts、こっちのけんと、Da-iCE、TOMORROW 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
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のモノマネかと思われる
https://togetter.com/li/2405422
14本ですね。
| 順位 | 曲 | アーティスト | ジャンル |
| 1 | SUPERNATURAL | NEWJEANS | K-POP |
| 2 | DARUMA | DARUMAS | |
| 3 | 本日のおすすめ | 離婚伝説 | |
| 4 | FEELSLIKEIMFALLINGINLOVE | COLDPLAY | |
| 5 | BURNING | 羊文学 | |
| 6 | EARTH, WIND AND FIRE(JAPANESE VER.) | BOYNEXTDOOR | K-POP |
| 7 | SMALL GIRL | LEE YOUNG JI FEAT. D.O. | K-POP |
| 8 | EVERY HOUR | SALA | K-POP |
| 9 | EVER SEEN | BEABADOOBEE | K-POP |
| 10 | HUSH 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. | |
| 17 | GOOD MORNING | a子 | |
| 18 | UNDEAD | YOASOBI | |
| 19 | 触れる唇 | XINU | |
| 20 | WOMAN'S WORLD | KATY PERRY | |
| 21 | LIFT YOU UP | JESSIE WARE & ROMY | |
| 22 | 影 | OVALL FEAT. さらさ | |
| 23 | PERFUME | PALE WAVES | |
| 24 | GOOD 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 BAR | TRAVIS | |
| 29 | BAD LOVE GOD | HOPE TALA | |
| 30 | DREAMBEND | KESSONCODA | |
| 31 | HOT MESS | AESPA | |
| 32 | SHARON | OFFICIAL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 | ライリーストーン | 眞名子 新 | |
| 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 | ふたりのBGM | GOOD BYE APRIL FEAT. 土岐 麻子 | |
| 47 | LUV STUCK | SALUTE AND PIRI | |
| 48 | うつつ | 鈴木 真海子 | |
| 49 | DONE WITH YOU | OMAR APOLLO | |
| 50 | THE RAIN | THE BURNING DEADWOODS FEAT. KENTA DEDACHI | |
| 51 | TIME | OLIVIA 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 | アイワナ | 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 空 | |
| 75 | LITHONIA | CHILDISH GAMBINO | |
| 76 | HEAVENLY HELL | STEVE AOKI FEAT. NE-YO | |
| 77 | YELLOW BIG HEADER | ピーナッツくん | |
| 78 | あなたへの手紙 | スガシカオ | |
| 79 | SEXY TO SOMEONE | CLAIRO | |
| 80 | ECHELON | 80KIDZ, 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 | |
| 86 | LOVE 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 | FANTASY | DEF 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 | ハチス | 折坂 悠太 | |
| 99 | I'M FREE | PARIS HILTON & RINA SAWAYAMA | |
| 100 | STEP BY STEP | TAIKING FEAT. 荒谷 翔大 |
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)
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.
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.
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
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
16, Adhesivo/ Skabullido
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
24, EGO-WRAPPIN’/ くちばしにチェリー
27, Gypsy Ska Orquesta/ Toston Swing
31, HEY-SMITH/ We sing our song
32, KEMURI/ P.M.A（Positive Mental Attitude）
34, KEMURI/ O-zora
35, Kingston Rudieska/ Giant Moment
36, Kingston Rudieska/ Captain J
37, LÄ-PPISCH/ RINJIN
38, Laurel Aitken/ Jesse Jackson
40, Los Calzones/ Todos Te Prometen
41, Los De Abajo，Diego Benlliure，José Grela / War ４ Peace
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 Ａｍａｒｍｅ
63, Pannonia Ska Orchestra/ Sahara
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’
72, SHOW-SKA/ Scooted Scorpion
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
91, The Specials/ Little Bitch
92, The Super Glasses Ska Ensemble/ Keep Skanking
94, Tinez Roots Club/ High Jump
95, Tinez Roots Club/ Crazy Mule
96, Tinez Roots Club/ Chimpanzee
98, Two Tone Club/ Beware Of The Tiger
99, Two Tone Club/ Three Little Words
100, Киоск/ Чудеса
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のプレイリストからの引き写しです．タイトルに「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と
・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