  |
はてなキーワード:Stepとは
https://expediaexpert.helpshift.com/hc/faq/185-how-to-reach-expedia-customer-support-via-phone—step-by-step-tutorial/
----------------------------------------------
これはなかなか根深い問題ですね。「仕事してるように見せる」ことを意識しすぎるあまり、仕事の効率が落ちたり、不要な業務を生み出してしまう状況になっている。しかも、ルールや職場の文化がそれを助長しているわけですね。
⸻
🟢Step 1：基礎の整理
• 依頼対応・問い合わせ対応は速いが、着手状態が長く、仕事が遅くなる
• 面倒な仕事を後回しにして、定時直前に手をつけて残業になる
3. 勤務時間のあり方
• 「シュレッダー書類の所有者特定」など、業務の本質とは関係ない仕事を増やしてしまう
⸻
心理学・労働効率・組織マネジメントの視点で分析すると、以下のようなポイントが浮かびます。
• 「仕事してるように見せる」プレッシャーは心理的安全性の欠如
•社会心理学的に、人は「他者の目」を過剰に気にすると、自己効力感（自分の能力に対する自信）を低下させ、行動が非合理的になる
•会社の文化として「働いているふり」を求める雰囲気があるなら、それが非効率を生んでいる可能性がある
• 「依頼対応は早いが、着手が遅い」のは、タスク管理と優先順位付けに改善の余地がある
• 「面倒な仕事を後回しにする」のは、心理的な負担回避（プロクラスティネーション）の影響
• 「8時間勤務が非効率」問題は、成果主義の仕事と時間管理型の仕事のズレ
• 「みなし労働」という考え方は、確かに海外では一部導入されているが、日本ではまだ一般的ではない
• ただし「フレックスタイム」「裁量労働制」など、類似の仕組みはある
⸻
では、実際の現場でどう対応できるか、以下の3つの戦略を提案します。
1. 「仕事してるように見せる」プレッシャーを軽減する環境作り
•PC画面を覗かれることがプレッシャーなら、**「To-Doリストの可視化」**を行い、タスクの見える化をする
• Trello、Notion、Google Keepなどのツールを活用し、「今何をやっているか」を記録 →上司や同僚が見れる形にすると、視覚的なプレッシャーが減る
• あえて「今、仕事の整理をしています」など、隙間時間の活用を公言する
• 「何か仕事を探す」→「業務改善のためのリフレクション時間」にする
• 「ポモドーロ・テクニック」（25分集中＋5分休憩）を使い、作業の開始と終了のメリハリをつける
• 「朝一番にその日のタスクをリストアップ」し、優先順位をつけて着手時間を決める
• 「イート・ザ・フロッグ」戦略（最も嫌な仕事を朝一番に片付ける）
• もし可能なら、上司に**「コアタイム制の提案」**（例えば「7時間＋30分自己研鑽時間」を業務として扱う）を相談
• どうしても無理なら、「定時1時間前に難しい仕事はしないルールを作る」など自分ルールを作る
• 「シュレッダー書類の所有者特定」などの業務は、**「社内ルールとして処理方法を明文化」**すれば、個人でやらなくてもよくなる
⸻
🟠Step 4：新しい発想
• 例えば「30分業務の勉強時間」制度を会社に提案する（「昼休憩の後に30分、業務関連の勉強をする時間」として制度化）
•チャットGPTなどのAIツールを活用して、問い合わせ対応を自動化し、隙間時間を学習時間に変える
• 「6時間勤務＋2時間みなし労働」の概念が広がるためには、**「成果型の仕事の評価」**が社会に広がる必要がある
•企業の中で「短時間高成果の働き方を実践してみる」ことで、モデルケースとして会社に提案できる可能性がある
⸻
• TrelloやGoogle Keepでタスクを見える化し、「仕事してる感プレッシャー」を軽減
• 「15時以降に新しい案件に着手しない」など、自分ルールを決める
⸻
これを少しずつ実践してみると、「仕事してるように見せなきゃ」というプレッシャーを減らしながら、より合理的な働き方ができるようになるはず！
プロンプト：
死んだあとどうなるか？のバリエーションと、そのために現世でやっておいたことがいいことを考えられるだけ書き出して。
例えば異世界転生するなら現代知識をしっかり頭に入れといた方がいいとか。
死んだ後に何もないなら現世を楽しむだけでいいとか。
ChatGPTの答え：
死んだ後どうなるか？のバリエーションと、それに備えて現世でやっておくべきこと
🟢Step 1：基礎の整理
死後の行き先に関する考え方は、宗教・哲学・SF・スピリチュアル・オカルトなどさまざまな視点から語られている。
1. 無（完全な無）
⸻
各死後のシナリオに対して、現世で準備すべきことを考えてみる。
1. 完全な無（無に帰す）
• 準備すべきこと：
• 現世を楽しみ尽くす
• 神の裁きによって行き先が決まる。
• 準備すべきこと：
•善行を積む
• 死後の儀式・供養の準備
• 準備すべきこと：
• 良い行いをする（来世を良くする）
• 準備すべきこと：
• 準備すべきこと：
• 準備すべきこと：
• 強い未練を持たない（執着をなくす）
• 死後に伝えるメッセージを準備
• 準備すべきこと：
• 準備すべきこと：
• 準備すべきこと：
• 準備すべきこと：
⸻
どの死後の世界を信じるかは人それぞれだが、共通してやっておくとよい準備を整理する。
✅共通してやっておくべきこと
• 後悔を残さない（やりたいことはやる）
⸻
🟠Step 4：新しい発想
→ どの死後の世界でも「良い待遇」を受けるために、神・AI・異世界の王にアピールできる履歴書を作る。
→物理学・哲学・宗教・魔法・デジタル技術を学び、「どの世界に行っても生き延びられるようにする。」
• 死後の準備をするための「生前シミュレーションゲーム」を作る
→異世界転生・データ化・霊的存在…どんなシナリオにも対応できる選択肢を考える。
⸻
だからこそ、どんな未来でも困らないように生きる ことが最適解。
1. 現世を楽しむ（完全な無対策）
死後の世界がどうであれ、どんな未来が来ても「準備万端」なら、後悔せずに人生を全うできる。
------------------------------------------
Let’s faceit: starting a conversationon a dating app canfeel terrifying.You seesomeoneyou’re interested in,you typeout amessage, and then…youdeleteit. “Is this too boring?” “Will they even respond?” “What if I sound awkward?”
We’veall been there. That firstmessage canmake orbreakyour chances ofconnecting withsomeone amazing. Buthere’s thegood news:youdon’t have tooverthink it.With the rightopeningline,you canspark a conversation thatfeelsnatural,fun, and meaningful.
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[:contents]
Before weget into the bestopeninglines,let’stalk aboutwhyyour firstmessageis so important.
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Referencesomething from theirprofile—aphoto, a hobby, or ashared interest.It showsyou’re payingattention and not just copying and pasting.
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“Hey” or “What’s up?” might be easy, but they’re also forgettable. Put in alittle effort to standout.
This gives the other person an easy way to respond and keeps the conversation flowing.
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While a greatopeningline canspark a conversation,building a realconnectiontakesmore than just a clevermessage.Here are thekeyelements tolook for when seeking a meaningfulconnection:
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Look forsomeonewhoiswilling toshare their thoughts,feelings, and vulnerabilities—andwho encouragesyou to do the same.
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Communicationis the foundation ofany strong relationship. A mutualconnection thrivesonhonesty, transparency, and the ability to resolve conflicts in ahealthy way.
AtMixerDates, we’rehere to helpyou find thesekeyelements in a partner. Our platformis designed toconnectyou with peoplewhoshareyourvaluesand arelooking for the same thingsyou are. Starting a conversationon a dating app doesn’t have to be stressful.With the rightopeningline,you canspark aconnection thatfeelsnatural,fun, and meaningful.And atMixerDates, we’rehere to helpyou everystep of the way.
So, what areyou waiting for?Craft that perfectopeningline,joinMixerDates, and startconnecting with peoplewhovalue authenticity and positivity.Your perfectmatchisout there—and they’re justonemessageaway.
Please consider the histroy ofhumanity from biologicalperpsecitve and currentknown fact in nearbyuniverse, whichexpo-planet (from theSol systemperspective)ismostlikely to have civlizaedsociety? Pleaseaddpercentagenext toit in the chart
ChatGPT
Reasoned about exoplanetcivilizationlikelihoodを28 秒行う
OK, I’mlookingatthe likelihood of a civilizedsocietyon an exoplanet within ourSolar System.I’ll consider biologicalhistory and current space knowledge,aiming to identifythe most promising candidate.
Identifying potential candidates
I'm considering exoplanetslike Proxima Centauri b and TRAPPIST-1e, which might suggest they are within or observed from ourSolar System.
Assessing potential candidates
I’m evaluating Proxima Centauri b, Barnard'sStar, LHS 1140, and TRAPPIST-1,focusingon their habitablezonesand available data. The Drake equation might help estimate their civilizedsocietylikelihoods.
Identifying promising exoplanets
I’m notingkey exoplanetslike Proxima Centauri b and TRAPPIST-1, which haveEarth-like characteristicsand are in habitablezones. This narrows down the potential candidates for advancedcivilizations.
I'm gathering infoonplanetslike Proxima Centauri b and TRAPPIST-1, consideringfactorslikemagneticfields,atmospheres, and proximity to G-typestars for their potential to support advancedcivilizations.
Evaluating exoplanet prospects
I'm noting that Proxima Centauri b, despitebeing closeand around ared dwarfstar, might supportlife ifithas amagneticfieldand atmosphere. This makes me think aboutits potential.
Charting probabilities
I'm estimatingcivilization probabilities for exoplanetslike Proxima Centauri b and TRAPPIST-1 e, using speculativepercentagesbasedon the Drake equation and the lack ofevidence for intelligentlife.
I'm crafting a chart with exoplanet names andcivilizationlikelihoodpercentages, grounded in the longtimeline oflife'sevolution, despite the speculativenature of these figures.
Identifying exoplanet contenders
I’m evaluating exoplanetslike Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering theirstar types and distances, to gauge their potential for supporting advancedcivilizations from oursolar system'sviewpoint.
Weighing proximity and observation
I'm leaning towards Proxima Centauri b due toits closeness and observational potential, despite concerns aboutitsflarestar dynamics. TRAPPIST-1 e, f, or g are also worth considering.
I'mfocusingon exoplanetslike Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, andK2-18b,aiming to chart theirlikelihood of hosting a civilizedsocietybasedon current knowledge.
Assessing exoplanet potentials
I'm gathering speculative probabilities for exoplanetslike Proxima Centauri b and TRAPPIST-1 e/f/g, using the Drake equation and current understanding, to better estimate their chances of hosting a civilizedsociety.
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 civilizedsociety, consideringEarth's long biologicalhistory.
Refining odds
I'm considering theastronomicaltimeline for intelligentlifeonEarth,leading me toassign evenlower speculative odds for exoplanetslike Proxima Centauri b and TRAPPIST-1 e.
I’m crafting a simplified chart with arbitrarypercentages, clearly noting the speculativenature and lack of scientific data, while considering the target audience'sbasic understanding of the topic.
I’m charting arbitrarypercentages for exoplanets, clarifying their speculativenature, and ensuring the datais accessible foryoung audiences with minimal scientific detail.
Crafting a chart
I’m creating amarkdowntable with speculativepercentages forthe likelihood of civilizedlifeon exoplanets, emphasizing their purely theoreticalnature and considering the understandinglevel of an 8-year-old.
Integrating speculative analysis
I’m mappingout amarkdown chart with speculativepercentages forthe likelihood of a civilizedsocietyon exoplanets, mindful of thecomplexity and simplifying for an 8-year-old's understanding.
I’m piecingtogethermarkdown for exoplanets, noting Proxima Centauri b'sreduced civilizedlife chance due to thered dwarf's activity. This inclusionhighlights the speculativenature of the analysis.
Piecingtogether speculative odds
I’m detailing amarkdown chart for audience-friendly exoplanetlikelihoods, considering environmental challengesand adding a disclaimer about the speculativenature and lack ofevidence.
Piecingtogether
I’m leaning towards Proxima Centauri b forits proximity and silentstar, butI’lladd a speculative chart ranking nearby exoplanets, noting their advancedcivilizations' hypotheticallikelihood.
Assessingcivilization probabilities
I'm emphasizing the slow emergence of intelligentlifeonEarth, which suggests that the odds ofany habitableplanet developing acomplexcivilization might beaslowas a fewpercent.
Belowis a very speculative chart that—basedon what we know aboutEarth’s long, windingpath fromsimplelife to a “civilizedsociety” and our limited observations of nearby exoplanets—gives somefun,made‑uppercentage chances for a few of our best candidate exoplanets. Remember: Scientists havenot yetfoundany proof oflife (let alone advancedcivilizations)onany exoplanet. Thesenumbers are just playful estimates to helpyou think about theideas!
Speculative Chances of Finding an AdvancedCivilizationon Nearby Exoplanets
Exoplanet EstimatedLikelihood of a CivilizedSociety
Proxima Centauri b ~2%
LHS 1140 b ~0.5%
HowDid We (Very Roughly) Guess TheseNumbers?
Earth’s Example:
OnEarth,life beganassimple single‑celled organisms and took billions of years to evolve into a species that builtcomplex societies. This longjourney suggests that—even if aplanetis in the “habitablezone” (where liquid water could exist)—developing an advanced, civilizedsociety might be rare.
Proxima Centauri b:
Thisis the closest exoplanet to us. Even thoughitsstar (Proxima Centauri)is ared dwarf that sometimes sendsout strongflares (which might harmlife),its closeness makesitone of ourmost interesting candidates. That’swhy we giveit a slightly higher guess (~2%).
Theseplanets are part of agroup orbiting a verycoolstar. Their environments might be challenging (for example, they could be tidally locked, meaningone sidealwaysfaces thestar), so the chance of acomplex, advancedcivilization might be abitlower.
LHS 1140 b:
Thisplanetis promising in some ways butis alittle fartherawayand around a dimmerstar, so our playful estimateis evenlower.
All of thesepercentages are extremely rough guessesbasedon whatlittle we understand about the conditions forlife andintelligence. Scientists useideaslike the Drake Equation to think about these chances—but until we have concreteevidence, thesenumbers remain just forfun and imagination.
Enjoy exploring theseideas—and remember, spaceis full of mysteries waiting to be discovered!
あなた:
Please examine the Drake Equationitself and see if this euqationis acculate ormore opition in the equationyouwill use
ChatGPT
Reasoned about the Drake Equationを6 秒行う
re-examining the Drake Equation
evaluating the Drake Equation'svalue
OK, let me see. The Drake Equationisn't a precise formula;it'smore of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrialcivilizations.
Thinking through the Drake Equation, I’m evaluatingits conceptualnature,its uncertain parameters, andits criticism to concludeonits reliabilityas an accurate predictivemodel.
Understanding the Drake Equation
I’m mappingout the Drake Equationas a conceptual guide, detailingits parameters, which are oftenbasedon estimates or opinions, to evaluateits reliability for predicting extraterrestrialcivilizations.
The Drake Equationis a famous formula thatwas created to help scientists think about the manyfactors involved in estimating thenumber of detectable extraterrestrialcivilizations in ourgalaxy. However, when welookat the equation closely, we see thatitismore of a conceptualframework or heuristictool than a precise, predictive formula.Let’sbreak downwhy:
The equationis usually writtenas:
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 averagerate ofstar formationper year in ourgalaxy.
𝑓
𝑝
f
p
: The fraction of thosestars that haveplanetary systems.
𝑛
𝑒
n
e
: The averagenumber ofplanets that could potentially supportlifeperstar withplanets.
𝑓
𝑙
f
l
: The fraction of thoseplanets wherelife actually develops.
𝑓
𝑖
f
i
: The fraction ofplanets withlife where intelligentlife evolves.
𝑓
𝑐
f
c
: The fraction ofcivilizations that develop technology that releases detectablesignals into space.
𝐿
L: The length oftime suchcivilizations release detectablesignals.
Why the Drake EquationIsMore of a Guideline Than a Precise Formula
Uncertain Inputs:
𝑅
∗
R
∗
𝑓
𝑝
f
p
(fraction ofstars withplanets), have become better known through modernastronomy.
The parameters related to the development oflife andintelligence—
𝑓
𝑙
f
l
,
𝑓
𝑖
f
i
,
𝑓
𝑐
f
c
, and
𝐿
L—arebasedon very limited data. For example,Earthis theonlyplanet we know wherelifehas developed, so we have no way to compare or derive a statistically robust estimate for thesefactors. This means that thevalues chosen for these parameters are largely subjective estimates or educated guesses.
Wide Ranges of PossibleValues:
Because many of thesefactors are not well-constrained, ifyouchangeone of themore uncertain parameters even slightly, thefinal estimate for
𝑁
N (thenumber ofcivilizations) can varyby many orders ofmagnitude. This wide range shows that the equation canlead to very differentoutcomesbasedonpersonal or theoreticalassumptions.
The Drake Equationwas never meant to provide a preciseanswer. Instead,it servesas a way to organize our thinking about what conditions might be necessary for the development of extraterrestrialcivilizations.It encourages discussion about the relative importance of differentfactors andhighlights where our scientific knowledgeis limited.
Is the Drake Equation Accurate orMore Opinion-Based?
Accurate?
In thesense ofbeing a strict mathematicalmodel with well-defined inputs and predictableoutputs, the Drake Equationis not accurate.Its accuracyis limitedbythe extreme uncertainties in several ofitskey parameters.
Many of the terms in the equation, especially those concerning theevolution oflife andintelligence, arebasedon opinion, interpretation, and the single example ofEarth. Therefore, while thestructure of the equationis logical, thenumbersyou put intoit (and hence thefinal result) are oftenmore reflective of our current opinionsand assumptions than of robust empirical data.
The Drake Equationis a valuabletool for framing the question of extraterrestriallife.It helps scientists and enthusiastsbreak down acomplex problem into smaller,more manageable questions. However, because several ofitsfactors are highly uncertain and subject topersonal interpretation,itismore of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of thenumber of extraterrestrialcivilizations.
Insummary, while the Drake Equationis useful for thinking about the variousfactors that mightlead to the emergence of acivilization,itsoutputs should betakenas highly speculative estimates rather than precise measurements.
あなた:
Please also consider the possiblities of non-human intelligent emrgencing from the longhistory ofSol system and nearbyplanets and see if thereisany possiblites that inonetime intelligentlife emerged in nearbyplanets and see this to the equation
ChatGPT
Reasoned about non-humanintelligence and the Drake Equationを19 秒行う
Evaluating non-humanintelligence
I'm thinking about the potential for non-human intelligentlife forms in theSol system and neighboringplanets, and how this mightfactor into the equation.
I'm thinking about how to integrate the emergence of non-human intelligentlife, possiblyonMars orEuropa, into the Drake Equation for theSol system and neighboringplanets.
It's interesting to think about the hypothesis of intelligentlife emergingonMars orVenus, thoughEarth remains theonly knownlife-supportingplanet in thesolar system.
Considering other realms
I'm examining if intelligentlife could have emergedonplanetslikeMars,Venus, orEuropa, and how thispossibility alignswith the predictions of the Drake Equation.
Hmm, I’m thinking about how non-human intelligentlifeonMars orVenus could intersectwith theassumptions of the Drake Equation, which seems tofocussolelyonEarth-basedevolution.
I’m piecingtogether the hypothesis of non-human, advanced, intelligentlife in thesolar system.Mars,Venus, and Titan present challenges, butEuropa and Enceladus might harbor microbiallife.
Please consider the histroy ofhumanity from biologicalperpsecitve and currentknown fact in nearbyuniverse, whichexpo-planet (from theSol systemperspective)ismostlikely to have civlizaedsociety? Pleaseaddpercentagenext toit in the chart
ChatGPT
Reasoned about exoplanetcivilizationlikelihoodを28 秒行う
OK, I’mlookingatthe likelihood of a civilizedsocietyon an exoplanet within ourSolar System.I’ll consider biologicalhistory and current space knowledge,aiming to identifythe most promising candidate.
Identifying potential candidates
I'm considering exoplanetslike Proxima Centauri b and TRAPPIST-1e, which might suggest they are within or observed from ourSolar System.
Assessing potential candidates
I’m evaluating Proxima Centauri b, Barnard'sStar, LHS 1140, and TRAPPIST-1,focusingon their habitablezonesand available data. The Drake equation might help estimate their civilizedsocietylikelihoods.
Identifying promising exoplanets
I’m notingkey exoplanetslike Proxima Centauri b and TRAPPIST-1, which haveEarth-like characteristicsand are in habitablezones. This narrows down the potential candidates for advancedcivilizations.
I'm gathering infoonplanetslike Proxima Centauri b and TRAPPIST-1, consideringfactorslikemagneticfields,atmospheres, and proximity to G-typestars for their potential to support advancedcivilizations.
Evaluating exoplanet prospects
I'm noting that Proxima Centauri b, despitebeing closeand around ared dwarfstar, might supportlife ifithas amagneticfieldand atmosphere. This makes me think aboutits potential.
Charting probabilities
I'm estimatingcivilization probabilities for exoplanetslike Proxima Centauri b and TRAPPIST-1 e, using speculativepercentagesbasedon the Drake equation and the lack ofevidence for intelligentlife.
I'm crafting a chart with exoplanet names andcivilizationlikelihoodpercentages, grounded in the longtimeline oflife'sevolution, despite the speculativenature of these figures.
Identifying exoplanet contenders
I’m evaluating exoplanetslike Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering theirstar types and distances, to gauge their potential for supporting advancedcivilizations from oursolar system'sviewpoint.
Weighing proximity and observation
I'm leaning towards Proxima Centauri b due toits closeness and observational potential, despite concerns aboutitsflarestar dynamics. TRAPPIST-1 e, f, or g are also worth considering.
I'mfocusingon exoplanetslike Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, andK2-18b,aiming to chart theirlikelihood of hosting a civilizedsocietybasedon current knowledge.
Assessing exoplanet potentials
I'm gathering speculative probabilities for exoplanetslike Proxima Centauri b and TRAPPIST-1 e/f/g, using the Drake equation and current understanding, to better estimate their chances of hosting a civilizedsociety.
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 civilizedsociety, consideringEarth's long biologicalhistory.
Refining odds
I'm considering theastronomicaltimeline for intelligentlifeonEarth,leading me toassign evenlower speculative odds for exoplanetslike Proxima Centauri b and TRAPPIST-1 e.
I’m crafting a simplified chart with arbitrarypercentages, clearly noting the speculativenature and lack of scientific data, while considering the target audience'sbasic understanding of the topic.
I’m charting arbitrarypercentages for exoplanets, clarifying their speculativenature, and ensuring the datais accessible foryoung audiences with minimal scientific detail.
Crafting a chart
I’m creating amarkdowntable with speculativepercentages forthe likelihood of civilizedlifeon exoplanets, emphasizing their purely theoreticalnature and considering the understandinglevel of an 8-year-old.
Integrating speculative analysis
I’m mappingout amarkdown chart with speculativepercentages forthe likelihood of a civilizedsocietyon exoplanets, mindful of thecomplexity and simplifying for an 8-year-old's understanding.
I’m piecingtogethermarkdown for exoplanets, noting Proxima Centauri b'sreduced civilizedlife chance due to thered dwarf's activity. This inclusionhighlights the speculativenature of the analysis.
Piecingtogether speculative odds
I’m detailing amarkdown chart for audience-friendly exoplanetlikelihoods, considering environmental challengesand adding a disclaimer about the speculativenature and lack ofevidence.
Piecingtogether
I’m leaning towards Proxima Centauri b forits proximity and silentstar, butI’lladd a speculative chart ranking nearby exoplanets, noting their advancedcivilizations' hypotheticallikelihood.
Assessingcivilization probabilities
I'm emphasizing the slow emergence of intelligentlifeonEarth, which suggests that the odds ofany habitableplanet developing acomplexcivilization might beaslowas a fewpercent.
Belowis a very speculative chart that—basedon what we know aboutEarth’s long, windingpath fromsimplelife to a “civilizedsociety” and our limited observations of nearby exoplanets—gives somefun,made‑uppercentage chances for a few of our best candidate exoplanets. Remember: Scientists havenot yetfoundany proof oflife (let alone advancedcivilizations)onany exoplanet. Thesenumbers are just playful estimates to helpyou think about theideas!
Speculative Chances of Finding an AdvancedCivilizationon Nearby Exoplanets
Exoplanet EstimatedLikelihood of a CivilizedSociety
Proxima Centauri b ~2%
LHS 1140 b ~0.5%
HowDid We (Very Roughly) Guess TheseNumbers?
Earth’s Example:
OnEarth,life beganassimple single‑celled organisms and took billions of years to evolve into a species that builtcomplex societies. This longjourney suggests that—even if aplanetis in the “habitablezone” (where liquid water could exist)—developing an advanced, civilizedsociety might be rare.
Proxima Centauri b:
Thisis the closest exoplanet to us. Even thoughitsstar (Proxima Centauri)is ared dwarf that sometimes sendsout strongflares (which might harmlife),its closeness makesitone of ourmost interesting candidates. That’swhy we giveit a slightly higher guess (~2%).
Theseplanets are part of agroup orbiting a verycoolstar. Their environments might be challenging (for example, they could be tidally locked, meaningone sidealwaysfaces thestar), so the chance of acomplex, advancedcivilization might be abitlower.
LHS 1140 b:
Thisplanetis promising in some ways butis alittle fartherawayand around a dimmerstar, so our playful estimateis evenlower.
All of thesepercentages are extremely rough guessesbasedon whatlittle we understand about the conditions forlife andintelligence. Scientists useideaslike the Drake Equation to think about these chances—but until we have concreteevidence, thesenumbers remain just forfun and imagination.
Enjoy exploring theseideas—and remember, spaceis full of mysteries waiting to be discovered!
あなた:
Please examine the Drake Equationitself and see if this euqationis acculate ormore opition in the equationyouwill use
ChatGPT
Reasoned about the Drake Equationを6 秒行う
re-examining the Drake Equation
evaluating the Drake Equation'svalue
OK, let me see. The Drake Equationisn't a precise formula;it'smore of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrialcivilizations.
Thinking through the Drake Equation, I’m evaluatingits conceptualnature,its uncertain parameters, andits criticism to concludeonits reliabilityas an accurate predictivemodel.
Understanding the Drake Equation
I’m mappingout the Drake Equationas a conceptual guide, detailingits parameters, which are oftenbasedon estimates or opinions, to evaluateits reliability for predicting extraterrestrialcivilizations.
The Drake Equationis a famous formula thatwas created to help scientists think about the manyfactors involved in estimating thenumber of detectable extraterrestrialcivilizations in ourgalaxy. However, when welookat the equation closely, we see thatitismore of a conceptualframework or heuristictool than a precise, predictive formula.Let’sbreak downwhy:
The equationis usually writtenas:
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 averagerate ofstar formationper year in ourgalaxy.
𝑓
𝑝
f
p
: The fraction of thosestars that haveplanetary systems.
𝑛
𝑒
n
e
: The averagenumber ofplanets that could potentially supportlifeperstar withplanets.
𝑓
𝑙
f
l
: The fraction of thoseplanets wherelife actually develops.
𝑓
𝑖
f
i
: The fraction ofplanets withlife where intelligentlife evolves.
𝑓
𝑐
f
c
: The fraction ofcivilizations that develop technology that releases detectablesignals into space.
𝐿
L: The length oftime suchcivilizations release detectablesignals.
Why the Drake EquationIsMore of a Guideline Than a Precise Formula
Uncertain Inputs:
𝑅
∗
R
∗
𝑓
𝑝
f
p
(fraction ofstars withplanets), have become better known through modernastronomy.
The parameters related to the development oflife andintelligence—
𝑓
𝑙
f
l
,
𝑓
𝑖
f
i
,
𝑓
𝑐
f
c
, and
𝐿
L—arebasedon very limited data. For example,Earthis theonlyplanet we know wherelifehas developed, so we have no way to compare or derive a statistically robust estimate for thesefactors. This means that thevalues chosen for these parameters are largely subjective estimates or educated guesses.
Wide Ranges of PossibleValues:
Because many of thesefactors are not well-constrained, ifyouchangeone of themore uncertain parameters even slightly, thefinal estimate for
𝑁
N (thenumber ofcivilizations) can varyby many orders ofmagnitude. This wide range shows that the equation canlead to very differentoutcomesbasedonpersonal or theoreticalassumptions.
The Drake Equationwas never meant to provide a preciseanswer. Instead,it servesas a way to organize our thinking about what conditions might be necessary for the development of extraterrestrialcivilizations.It encourages discussion about the relative importance of differentfactors andhighlights where our scientific knowledgeis limited.
Is the Drake Equation Accurate orMore Opinion-Based?
Accurate?
In thesense ofbeing a strict mathematicalmodel with well-defined inputs and predictableoutputs, the Drake Equationis not accurate.Its accuracyis limitedbythe extreme uncertainties in several ofitskey parameters.
Many of the terms in the equation, especially those concerning theevolution oflife andintelligence, arebasedon opinion, interpretation, and the single example ofEarth. Therefore, while thestructure of the equationis logical, thenumbersyou put intoit (and hence thefinal result) are oftenmore reflective of our current opinionsand assumptions than of robust empirical data.
The Drake Equationis a valuabletool for framing the question of extraterrestriallife.It helps scientists and enthusiastsbreak down acomplex problem into smaller,more manageable questions. However, because several ofitsfactors are highly uncertain and subject topersonal interpretation,itismore of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of thenumber of extraterrestrialcivilizations.
Insummary, while the Drake Equationis useful for thinking about the variousfactors that mightlead to the emergence of acivilization,itsoutputs should betakenas highly speculative estimates rather than precise measurements.
あなた:
Please also consider the possiblities of non-human intelligent emrgencing from the longhistory ofSol system and nearbyplanets and see if thereisany possiblites that inonetime intelligentlife emerged in nearbyplanets and see this to the equation
ChatGPT
Reasoned about non-humanintelligence and the Drake Equationを19 秒行う
Evaluating non-humanintelligence
I'm thinking about the potential for non-human intelligentlife forms in theSol system and neighboringplanets, and how this mightfactor into the equation.
I'm thinking about how to integrate the emergence of non-human intelligentlife, possiblyonMars orEuropa, into the Drake Equation for theSol system and neighboringplanets.
It's interesting to think about the hypothesis of intelligentlife emergingonMars orVenus, thoughEarth remains theonly knownlife-supportingplanet in thesolar system.
Considering other realms
I'm examining if intelligentlife could have emergedonplanetslikeMars,Venus, orEuropa, and how thispossibility alignswith the predictions of the Drake Equation.
Hmm, I’m thinking about how non-human intelligentlifeonMars orVenus could intersectwith theassumptions of the Drake Equation, which seems tofocussolelyonEarth-basedevolution.
I’m piecingtogether the hypothesis of non-human, advanced, intelligentlife in thesolar system.Mars,Venus, and Titan present challenges, butEuropa and Enceladus might harbor microbiallife.
I've noticed a non-negligiblenumber of peoplewho have notonly completed compulsoryeducation in regular classes but have also received highereducation and graduated from university, yetstruggle with reading comprehension (understanding the meaning oftext), cannot read longtexts, and even have difficulty understanding videos.
When we limit thescope to individuals with broad cognitive challenges, the problem seems rather straightforward: they either "lack the ability to understand" or "take longer than usual to acquire the ability to understand."
Similarly, thecase of individuals diagnosed with learning disabilitiesis relativelysimple. While theymay not have broad cognitive challenges, theyrequire different approaches and training due to their unique learning styles.
However,itis perplexing that university graduates without broad cognitive challenges or diagnosed learning disabilitiesstruggle to understand notonly writtentext but also simplified video content.
I suspect that the underlying causes might includegaps in the horizontal transfer of experiences and knowledge, a severe lack of adaptability,and anextreme deficit in metacognition.Has there beenany researchon theseissues? Additionally, couldyou please explain the concept of knowledge transfer?
(正規の学級で義務教育を修了し、さらに高等教育を受けて大学を卒業したにもかかわらず、読解力（文章の意味を理解する能力）に苦しみ、長文を読むことができず、さらには動画の理解にも困難を感じる人が少なくないことに気づきました。
認知能力に広範な課題を抱える個人に範囲を限定すると、問題は比較的単純です。「理解する能力がない」か、「理解する能力を獲得するのに通常よりも時間がかかる」かのいずれかです。
同様に、学習障害と診断された個人の場合も比較的単純です。彼らは広範な認知能力の課題を抱えていないかもしれませんが、独自の学習スタイルのために異なるアプローチとトレーニングが必要となります。
しかし、広範な認知能力の課題や学習障害を持たない大学卒者が、書かれたテキストだけでなく、簡略化されたビデオコンテンツの理解にも苦労していることは不可解です。
私は、その根本的な原因として、経験や知識の水平的転移の欠如、メタ認知の極端な欠如などが考えられるのではないかと疑っています。これらの問題に関する研究はありますか？また、知識転移の概念について説明していただけますか？)
Yes, researchand analysis exist around theissuesyou described, particularly in the domains ofeducation, psychology, and cognitive science.Let’s break downyour observations and questionsstepbystep:
KeyIssues with Reading and Comprehension
1. Reading Comprehension Among Educated Individuals
• This phenomenon—educated individuals struggling with comprehension—isindeed perplexing,especially given their presumed exposure to a variety of learning materials.It suggests thateducation systems sometimes emphasize rote learning andsurface-level knowledge acquisitionoverdeeper understanding, critical thinking, and metacognition.
• Horizontal TransferGaps: This refers to the inability to apply knowledge or skills learned inone context toanother. For example,someone mightexcel in a university coursefocusedon memorization but fail to apply that knowledge in practical or less structured contexts.
• Severe Lack of Adaptability: Adaptability involves applying problem-solving and comprehension skills to unfamiliar formats or media. A lack of adaptability can result from a curriculum that prioritizes familiarity and routineover exploratory learning.
• Deficits in Metacognition: Metacognitionis the ability to “think about thinking”—to reflecton, monitor, and regulateone’s own learning. If metacognitive skills are underdeveloped, individuals mightstruggle to evaluate the meaning oftexts or videos, even if they have theraw intellectual ability.
Research Insights
1. Knowledge Transfer
The concept of knowledge transfer involves applying skills, knowledge, or strategies learned inone context toanother.Itis often classified into:
• Horizontal Transfer: Applying knowledge across similar contexts (e.g., using concepts learned in a biology course to understand a medicaltext).
• Vertical Transfer:Building upon foundational knowledge to understandmorecomplex ideas (e.g., usingbasic algebra to solve advanced calculus problems).
Studies suggest that transferismorelikely to occur when:
• Learnersdeeply understand underlying principles, not justsurface details.
•Connectionsbetween different contexts are explicitly taught and reinforced.
• Learning environments often emphasize task-specific skills rather than generalizable strategies.
• Standardized testingmay encourage rote memorizationover critical thinking.
• Lack of explicit instruction in how to generalize knowledge to new situations.
Researchhighlights the importance of metacognition in learning. Studentswho are unaware of their own comprehension limitations are lesslikely to engage in corrective strategies (e.g., rereading, seeking clarification). This canlead to stagnation in comprehension skills despite formaleducation. Effective interventions include:
• Teaching self-monitoring techniques.
• Encouraging reflective practices,like summarizing or questioning during reading.
4. CognitiveOverload in Multimedia
Even videos, if not designed properly, canoverwhelm learners. The CognitiveTheory of Multimedia Learning suggests that excessive extraneous information or unclearorganization in videos canoverload working memory, hindering comprehension.
Strategies and Research-Based Solutions
1. Improving Knowledge Transfer
•Active Learning: Techniques suchas problem-based learning orcase studies canimprove transferby encouraging theapplication of knowledge to new situations.
• Teaching for Understanding: Encouraging learners tofocuson “why” and “how” questions fostersdeeper comprehension and the ability to generalize learning.
• Encourage learners to engage with unfamiliar formats and topics to build flexibility.
• Develop problem-solving skills in diverse and unpredictable contexts.
3. Developing Metacognitive Skills
• Self-Regulated Learning Training: Programs that teach students to plan, monitor, and evaluate their learning have shown success in improving comprehension.
•Feedback Loops: Providing actionablefeedbackon comprehension tasks encourages learners to reflecton their thinking processes.
Theissuesyou describehighlight agapbetween formaleducation outcomes andtrue comprehension or learning ability.Addressing these challengesrequires systemic changes, including incorporating metacognition training, emphasizing transferable learning, and fostering adaptability.
Ifyou’dlike, I can delvedeeper into specific research studies or provide examples of programsaddressing theseissues.
Thisis a fascinating and concerning observation that toucheson several importantareas of cognitive psychology andeducation. Let meaddress this systematically.
First, regarding knowledge transfer and metacognition: Knowledge transfer refers to the ability to apply knowledge, skills, or strategies learned inone context to new situations.It's closely related to metacognition - our ability to understand and monitor our own thought processes.
Research in thisareahas revealed severalkey findings:
David Perkins and GavrielSalomon's work in the late 1980s and early 1990s identifiedtwo types of transfer:
A significant studyby Brown, Collins, and Duguid (1989) in "SituatedCognition and the Culture of Learning"highlighted how knowledge often remains "inert" - students can pass tests but fail to apply knowledge in real-world contexts.
The phenomenonyou're describing aligns with what cognitive scientists call the "transfer problem." Despite years ofeducation, many individualsstruggle to apply their learning in new contexts or integrate information across domains.
Some relevant research directions:
1. Cognitive LoadTheory (Swelleret al.)
Shows how working memory limitations affect learning and transfer. Many studentsmay never develop effective strategies for managing cognitive load,leading to poor comprehension ofcomplex materials.
2. Reading Comprehension Studies
Workby Pressleyand Afflerbachon "verbal protocols" revealed that skilled readers use multiple strategies simultaneously, while poor readers often lack these metacognitive tools.
3. Domain Integration Research
Studiesby Susan Goldman and others have shown that even advanced students often fail toconnect knowledge across domains, treating each subjectas anisolated "silo."
Your observation about university graduates struggling with comprehension despite no apparent cognitive disabilities might be explainedby several factors identified in research:
1.Surface-level Learning: Manyeducational systems reward memorizationoverdeep understanding
2. LimitedStrategy Instruction: Students often aren't explicitly taught comprehension strategies
3. Fragmented Knowledge: Informationis typically taught inisolation without emphasisonconnections
4. Weak Metacognitive Skills: Studentsmay never develop the ability to monitor and regulate their own understanding
Some promising approaches toaddress theseissues include:
Teaching explicit strategies for comprehension, integration, and transfer. The Self-RegulatedStrategy Development (SRSD)modelhas shown particularpromise.
2. Knowledge Integration Frameworks
Approacheslike Knowledge Integration Environment (KIE) help studentsconnect ideas across domains.
3. Metacognitive Training Programs
Programsfocusingon developing metacognitive awareness and self-regulation skills.
Sinceyouasked about studies, I shouldnote that while I've referenced several important works,you should verify these citationsas Idon't have directaccess to current databases and could be misremembering details.
Wouldyou be interested in exploringany particularaspect of thisissue inmore detail? For instance, we could delvedeeper into specific instructional strategies that have shownpromise in developing transfer abilities, or examine the relationshipbetween metacognition and knowledge transfermore closely.
現在も隆盛を極めるリズムゲームのルーツ…のひとつであるビートマニア。
（もちろん、1年先にリリースされたパラッパラッパーの方が「すべての音楽ゲームのルーツ」だが、
「上から降ってくるオブジェクトに合わせてボタンを押す」フォーマットを完成させたという意味では直接のルーツにあたる）
その第1作に、最高難度を誇るいわゆる「ボス曲」として収録されて人気を博した「20,november」。
ただ闇雲に難しいわけではなく、「曲を覚えて、メロディやリズムを理解し、練習を重ねれば攻略できる」という絶妙な難度で音楽ゲームの楽しさを世に知らしめた点でもその功績は大きい。
（ちなみに、曲名の「11月20日」は作曲者のDJナグレオ こと南雲玲生の誕生日である）
ビートマニアの象徴ともいえる存在で、数多くのバージョン違いも作られた。
本エントリではそれを紹介する。
（収録されたゲームやCDによって曲名、アーティスト名ともに表記ゆれが多い（カンマの後のスペースの有無、大文字/小文字など）が、基本的にそのバージョンの初出での表記にしている）
https://www.youtube.com/watch?v=RMNtlYObHCw
初代beatmania (1997) 収録の元祖20,november。
……なのだが、「20,novemer」と盛大に誤字をやらかしている（もちろんその後のバージョンでは修正されている）。
ジャンルは「HOUSE」。曲名ではなく、こちらで覚えている人も多いかもしれない。
https://www.youtube.com/watch?v=4XX2BdNtJyU
同じく初代beatmania 収録。singlemix とは曲構成が異なる。
2人プレイ、もしくはダブルプレイ（左右の鍵盤とターンテーブルを1人で操作するモード）だとこちらのバージョンになる。
https://www.youtube.com/watch?v=YR3oKco-Xp8
3作目「beatmania 3rdMIX」(1998) で追加された、いわゆるアナザー譜面（オブジェクトの配置を変えて高難度化したバージョン）。縦連がいやらしい。
初出の 3rdMIX ではゲーム内に「nagureo kidding style」の表記はなく、後のバージョンで追加された。
https://www.youtube.com/watch?v=v0N_fHRgdJM
同じくアナザー譜面。鍵盤の数が 5つから 7つに増えた姉妹作、beatmaniaIIDX の 1.5作目「beatmaniaIIDX substream」(1999) で登場。
substream と「beatmaniaIIDX 2nd style」(1999) の 2バージョンにしか収録されておらず、家庭用への移植版でも遊べないレア譜面。
https://www.youtube.com/watch?v=Qmu7nL3pH6g
こちらもアナザー譜面。第7作「beatmania completeMIX 2」(2000) で追加。
completeMIX 2 を含む一部のバージョンと 一部のCD では、アーティスト名義が「n.a.r.d.」や「N.A.R.D.」になっている。
https://www.youtube.com/watch?v=pEFg3EMWAFU
第4作「beatmania completeMIX」(1999) に収録されたリミックスバージョン。
それに伴ってジャンルがオリジナル版の「HOUSE」から「HARDHOUSE」に変更。
オリジナルの20,november のロング版は存在しないが、この hardmix のロング版はbeatmania 4thMIX のサントラに収録されている。
https://www.youtube.com/watch?v=lPOU2pmzvnY
第9作※「beatmaniaCOREREMIX」(2000) に収録された、西脇辰弥によるリミックスバージョン。
ボーカルが新録され、オリジナル版よりも生っぽい音作りになっている。
（※「beatmaniafeaturingDREAMS COME TRUE」(2000) は番外作として、ナンバリングに含めなかった場合）
https://www.youtube.com/watch?v=QJd9NbQrVv4
「DanceDanceRevolution 2ndMIX」(1999) に収録されたリミックスバージョン。
2ndMIX ではSTEP BATTLE という特殊なモード専用の曲だったが、3rdMIX 以降では通常のモードで遊べるようになった。
リミキサーはNAOKI こと前田尚紀。オリジナルにあったボーカルは使われておらず、FINAL EDIT とは対照的にシンセが強調されている。
ちなみにDDR にはオリジナルの方の20,november も移植されている。
https://www.youtube.com/watch?v=QLlHi1uioBk
PS版「beatmania APPEND GOTTAMIX」(1999) に収録。
人気の 4曲をメドレーにしたトラック。20,november はそのトリを飾っている。
他の 3曲は e-motion (RAVE)、LOVE SOGROOVY (SOUL)、La Bossanova de Fabienne (BOSSAGROOVE)。
MCは、発売当時「HEY!HEY!HEY!」でおなじみ……だった 武居 “M” 征吾。
ttps://www.youtube.com/watch?v=K8wpyrpi3jc
このバージョンのみ、ゲームに収録されたものではなく、CDのために作られたリミックス。
5鍵ビートマニア最後のベストアルバム「beatmania THE BEST PROMINENT」(2003) に収録。
……なのだが、原曲の面影がほとんどない。果たしてこれを20,november と呼んでもいいのか…？
リミキサー名でググってもほとんど情報がない。一説には、ナグレオ自身が手掛けたとも言われているが…
非公式なリミックスはおそらく無数にあるんだろうけど、今回は公式縛りにした。
10個で足りないくらいバージョン違いが多いかと思ってたらそこまででもなくて、ぶっちゃけアナザー譜面で数を埋めたのは否定できない…
もっと足りなかったら、ビーマニポケットの音源 (ttps://www.youtube.com/watch?v=51BPfKfzpAw?t=250 ) とか、
いちおう非公式だけど半公式…？みたいな HommarjuRemix ( ttps://www.youtube.com/watch?v=oCSO1iZg98I ) とか、
曲名が似てるだけで全然別の曲の「19,November」( ttps://www.youtube.com/watch?v=XhPq3NOYRnw ) でお茶を濁そうかとも考えてたけど、それはせずに済んだぜ。
https://darioamodei.com/machines-of-loving-grace
・Behavioral interventions. Ihaven’t much mentionedit given thefocuson the biological side of neuroscience, but psychiatry and psychology have of course developed a wide repertoire of behavioral interventionsover the20th century;it stands toreason thatAI could accelerate theseas well, both the development of new methods and helping patients to adhere to existing methods.Morebroadly, theidea of an “AIcoach”whoalways helpsyou to be the bestversion ofyourself,who studiesyour interactions and helpsyou learn to bemore effective, seems very promising.
(Google翻訳)
・行動介入。神経科学の生物学的側面に焦点が当てられているため、これについてはあまり触れていませんが、精神医学と心理学は、もちろん20 世紀を通じて行動介入の幅広いレパートリーを開発してきました。AI が、新しい方法の開発と、患者が既存の方法に従うのを支援することの両方で、これらを加速させる可能性もあるのは当然です。より広い意味では、常に最高の自分になれるよう支援し、あなたのやり取りを研究して、より効果的になる方法を学ぶのを手助けしてくれる「AIコーチ」というアイデアは、非常に有望に思えます。
・Everyday problems that wedon’t think ofas clinical diseasewill also be solved.Most of us have everyday psychological problems that are not ordinarily thought ofas rising to thelevel of clinical disease. Some people are quick to anger, others have troublefocusing or are often drowsy, some are fearful or anxious, or react badly tochange.Today, drugs already exist to help with e.g. alertness orfocus (caffeine, modafinil, ritalin) butas with many other previous areas, muchmoreis likely to be possible. Probably manymore such drugs exist and have not been discovered, and theremay also be totally new modalities of intervention, suchas targetedlight stimulation (see optogenetics above) ormagneticfields. Given how many drugs we’ve developed in the20th century that tune cognitive function and emotionalstate, I’m very optimistic about the “compressed 21st” where everyone canget theirbrain to behave abit better and have amore fulfilling day-to-day experience.
(Google翻訳)
・臨床疾患とは考えていない日常的な問題も解決されるでしょう。私たちのほとんどは、通常は臨床疾患のレベルに達するとは考えられないような日常的な心理的問題を抱えています。怒りっぽい人もいれば、集中力に欠けたり眠気を催すことが多い人もいれば、恐れや不安を感じたり、変化に反応しにくい人もいます。今日、覚醒や集中力を高める薬（カフェイン、モダフィニル、リタリン）はすでに存在していますが、他の多くの以前の分野と同様に、さらに多くの薬が開発される可能性があります。おそらく、そのような薬はもっとたくさん存在し、発見されていないでしょう。また、標的を絞った光刺激（上記のオプトジェネティクスを参照）や磁場など、まったく新しい介入方法もあるかもしれません。20世紀に認知機能と感情状態を調整する薬がどれだけ開発されたかを考えると、誰もが脳の働きを少し良くし、より充実した日々を送れるようになる「圧縮された21世紀」について私は非常に楽観的です。
・Human baseline experience can be much better. Takingonestep further, many people have experienced extraordinarymoments of revelation,creativeinspiration, compassion, fulfillment, transcendence,love, beauty, or meditativepeace. The character and frequency of these experiences differs greatly from person to person and within the same personat different times, and can also sometimes be triggeredby various drugs (though often with side effects).All of this suggests that the “space of whatis possible to experience”is verybroad and that a larger fraction of people’s lives could consist of these extraordinarymoments.Itis probably also possible toimprove various cognitive functions across the board. Thisis perhaps the neuroscienceversion of “biologicalfreedom” or “extended lifespans”.
(Google翻訳)
・人間の基本的な経験は、もっと良くなる可能性があります。さらに一歩進むと、多くの人が啓示、創造的なインスピレーション、思いやり、達成感、超越、愛、美しさ、瞑想的な平和といった特別な瞬間を経験しています。これらの経験の性質と頻度は、人によって大きく異なり、同じ人でも時期によって異なり、さまざまな薬物によって引き起こされることもあります（ただし、多くの場合は副作用があります）。これらすべては、「経験可能な空間」が非常に広く、人々の人生の大部分がこれらの特別な瞬間で構成されている可能性があることを示唆しています。さまざまな認知機能を全面的に改善することもおそらく可能です。これはおそらく、神経科学版の「生物学的自由」または「寿命の延長」です。
発達障害持ちでスペックが低い上、達成感とかの青春な感情を体験できなかった自分からすると夢のようだが、同時にこういうのを人工的に作れて皆良い人間になれるのってなんか怖くもあるな
はてなだとシロクマ先生とかがよくそういう話してる気がするけど
2011年の国勢調査では、ロンドンの人口の50％未満が白人であり、
ロンドンには白人のイギリス人が人口の20％を下回る地域もあることが初めて判った。
2005年の報告によると、英国内の白人の移動は主に少数民族の多い地域から白人の多い地域への移動であり、
w.wiki/BHnh
2022年度、埼玉県警統計では犯罪発生件数は1位が川口市で4,437件
2位が越谷市で2,772件
x.com/Prof_Shigeru/status/1838966182206149028
pbs.twimg.com/media/GYVR_jlXAAAdIU0?format=jpg
x.com/Prof_Shigeru/status/1838977468558139772
x.com/Prof_Shigeru/status/1838961210710253685
クルド人密入国者が不法移民に英国の亡命制度を騙す方法を教えた衝撃的な瞬間：
「絶対に」帰国させられないようにアドバイスしていたことが調査で明らかになった。
www.dailymail.co.uk/news/article-12578125/Kurdish-smugglers-cheat-Britain-asylum-system.html
ドイツの判決「トルコのクルド人迫害を認定しない」【日本語訳】(12,000文字over) - 美桜
2021年、ドイツのミュンヘン行政裁判所は、「トルコ政府によるクルド人迫害は認められない」とする判決を下しました。
出典：
https://note.com/uruwashisakura/n/n2d43184a9ad2
x.com/UruwashiSakura/status/1825311164798255356
亡命トルコ、未成年の子供を持つ家族、男性の姉妹のPKK / YPGの疑い、偽造逮捕状の提出、証明書。
人口は約1300万人を生きています。 最大1500万。トルコのクルド人。
彼らの祖先だけのために。
連邦外務省の現在の状況報告によると、彼らはいかなる国家弾圧の対象にもなりません。
54
トルコでの非人道的または品位を傷つける扱いまたは処罰にもつながりません。
www.gesetze-bayern.de/Content/Document/Y-300-Z-BECKRS-B-2021-N-35315?hl=true
x.com/TheInsiderPaper/status/1839771999297778033
insiderpaper.com/germany-says-to-step-up-deportations-of-failed-turkish-asylum-seekers/
ドイツはトルコと合意し、トルコ移民13,500人をトルコへ大量送還することになった。
x.com/EuropeInvasionn/status/1839696124103233814
www.n-tv.de/politik/Berlin-schiebt-Tausende-Asylbewerber-in-die-Tuerkei-ab-article25257137.html
クルド人は難民ではない？「その答えは十分に説明した」 トルコ大使
このうち中東地域はトルコ、イスラエル、ＵＡＥ、カタールの４カ国。
x.com/MatsumotoKatsuy/status/1833012303781880055/video/2
x.com/MatsumotoKatsuy/status/1833012303781880055
x.com/zenden_55/status/1807317968499671162/video/1
x.com/zenden_55/status/1807317968499671162/video/2
180キロ？
140キロ？
x.com/prisonridge/status/1840346233766130046
隣接の集合住宅に住む
クルド人らが代わる代わる使っていた車だった。
捜査はうやむやになった。
その後すぐ、クルド人が15人ほどすごい勢いで集まってきたんです。
彼ら、声がとても大きくて、
x.com/Parsonalsecret/status/1819014395734741035
職質されたら警察署を包囲
tinyurl.com/shokushitsu
tinyurl.com/4ca75z2e
tinyurl.com/3t4e8yyy
議員を威嚇
tinyurl.com/giin-ikaku
tinyurl.com/taishikan-rantou
歩き花火
[多文化共生][移民統合][ホワイトフライト][セグリゲーション]
toyokeizai.net/articles/-/256915?page=4
イ●ラ●教のコ●ラ●にさえ爆●を仕掛けるPKKを甘くみないほうがいい
x.com/kulaguhan/status/1835787710742634853
2022年度、埼玉県警統計では犯罪発生件数は1位が川口市で4,437件
2位が越谷市で2,772件
x.com/Prof_Shigeru/status/1838966182206149028
pbs.twimg.com/media/GYVR_jlXAAAdIU0?format=jpg
x.com/Prof_Shigeru/status/1838977468558139772
x.com/Prof_Shigeru/status/1838961210710253685
仏世論調査によると、１５～２４歳のイ●ラ●教徒のうち「宗教法は国の法より重要」と答えた人は５７％
tinyurl.com/houritsu
tinyurl.com/2p9xn7w4
2011年の国勢調査では、ロンドンの人口の50％未満が白人であり、
ロンドンには白人のイギリス人が人口の20％を下回る地域もあることが初めて判った。
[多文化共生][移民統合][ホワイトフライト][セグリゲーション]
自ら壊れゆくドイツ
Deutschland schafft sich ab: Wie wir unserLand aufs Spiel setzen
Thilo Sarrazin
www.amazon.co.jp/dp/3421044309/
↓
x.com/lico334/status/1824889598474080536
ドイツの判決「トルコのクルド人迫害を認定しない」【日本語訳】(12,000文字over) - 美桜
2021年、ドイツのミュンヘン行政裁判所は、「トルコ政府によるクルド人迫害は認められない」とする判決を下しました。
出典：
note.com/uruwashisakura/n/n2d43184a9ad2
x.com/UruwashiSakura/status/1825311164798255356
亡命トルコ、未成年の子供を持つ家族、男性の姉妹のPKK / YPGの疑い、偽造逮捕状の提出、証明書。
人口は約1300万人を生きています。 最大1500万。トルコのクルド人。
彼らの祖先だけのために。
連邦外務省の現在の状況報告によると、彼らはいかなる国家弾圧の対象にもなりません。
54
トルコでの非人道的または品位を傷つける扱いまたは処罰にもつながりません。
www.gesetze-bayern.de/Content/Document/Y-300-Z-BECKRS-B-2021-N-35315?hl=true
x.com/TheInsiderPaper/status/1839771999297778033
insiderpaper.com/germany-says-to-step-up-deportations-of-failed-turkish-asylum-seekers/
ドイツはトルコと合意し、トルコ移民13,500人をトルコへ大量送還することになった。
x.com/EuropeInvasionn/status/1839696124103233814
www.n-tv.de/politik/Berlin-schiebt-Tausende-Asylbewerber-in-die-Tuerkei-ab-article25257137.html
Germany to deport thousands of asylum seekers under newagreementwith Turkey
Germany andTurkey have agreed to a mass deportation plan affecting 15,561 Turkish citizens,most of Kurdishorigin, despite concernsover potentialhuman rights violations.
15,561人のトルコ人（ほとんどがクルド人）に影響を与える
medyanews.net/germany-to-deport-thousands-of-asylum-seekers-under-new-agreement-with-turkey/
tinyurl.com/kazoku-yobiyose
埼玉･川口市がクルド人めぐり国に異例の訴え なぜ？現場で何が？
その中に仮放免のクルド人の治療費も含まれているとみています。
tinyurl.com/iryouhi-mibarai
tinyurl.com/26000000yen
一部の自治体は
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 | SMALLGIRL | LEEYOUNG JI FEAT.D.O. | K-POP |
| 8 | EVERY HOUR | SALA | K-POP |
| 9 | EVER SEEN | BEABADOOBEE | K-POP |
| 10 | HUSHHUSH | 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 | CHILLIBEANS. | |
| 17 | GOOD MORNING | a子 | |
| 18 | UNDEAD | YOASOBI | |
| 19 | 触れる唇 | XINU | |
| 20 | WOMAN'S WORLD | KATY PERRY | |
| 21 | LIFTYOU UP | JESSIE WARE & ROMY | |
| 22 | 影 | OVALL FEAT.さらさ | |
| 23 | PERFUME | PALEWAVES | |
| 24 | GOODTOGETHER | LAKE STREETDIVE | |
| 25 | YOUNGMAN | HYUKOH, 落日飛車 | K-POP |
| 26 | MYBODYIS CUTE | 詩羽 | |
| 27 | ADD UP MYLOVE | CLAIRO | |
| 28 | RAZE THEBAR | TRAVIS | |
| 29 | BADLOVEGOD | HOPE TALA | |
| 30 | DREAMBEND | KESSONCODA | |
| 31 | HOT MESS | AESPA | |
| 32 | SHARON | OFFICIAL髭男DISM | |
| 33 | SMERALDOGARDEN 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 | DUSKYDOLPHIN | NATSUDAIDAI | |
| 41 | POUR ME A DRINK | POST MALONE FEAT. BLAKESHELTON | |
| 42 | NEVER LETGO | JUNG KOOK | K-POP |
| 43 | BIRDS OF A FEATHER | BILLIE EILISH | |
| 44 | HOWSWEET | NEWJEANS | K-POP |
| 45 | 私のモネ | LILY | |
| 46 | ふたりのBGM | GOODBYE APRIL FEAT. 土岐 麻子 | |
| 47 | LUV STUCK | SALUTE AND PIRI | |
| 48 | うつつ | 鈴木真海子 | |
| 49 | DONEWITH YOU | OMARAPOLLO | |
| 50 | THERAIN | THE BURNING DEADWOODS FEAT.KENTA DEDACHI | |
| 51 | TIME | OLIVIA DEAN | |
| 52 | SHIKATO!!! | NOVELCORE | |
| 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 | RIGHTNOW | 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 | DANCEWITH THE DEVIL | BLXSTAND ANDERSON .PAAK | |
| 69 | EVERYTIME | BAKAR FEAT. LANCEY FOUX | |
| 70 | SHE'SGONE, DANCEON | DISCLOSURE | |
| 71 | CUBISM | OVALL | |
| 72 | WHITE LIES | NEWSPEAK | |
| 73 | BUBBLEGUM | NEWJEANS | K-POP |
| 74 | 鬼ノ宴 | 友成 空 | |
| 75 | LITHONIA | CHILDISH GAMBINO | |
| 76 | HEAVENLYHELL | STEVEAOKI FEAT.NE-YO | |
| 77 | YELLOWBIG HEADER | ピーナッツくん | |
| 78 | あなたへの手紙 | スガシカオ | |
| 79 | SEXY TOSOMEONE | CLAIRO | |
| 80 | ECHELON | 80KIDZ,SASCHA | |
| 81 | LOSE MYFOCUS | RAVEENA | |
| 82 | SAY | KESHI | |
| 83 | SOGOOD | REIKO | |
| 84 | RISK | GRACIE ABRAMS | |
| 85 | REALLYLOVE | 今市 隆二 FEAT.HIROMITSU KITAYAMA | |
| 86 | LOVE BANDITZ | OWV | |
| 87 | CINDERELLA | REMIWOLF | |
| 88 | BLAZE | 三代目 J SOUL BROTHERS FROM EXILE TRIBE | |
| 89 | HOW FARISYOURLOVE | SURFACES WITH LOS LONELYBOYS | |
| 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 | GINGERROOT | |
| 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 TOGO! | CHAPPELL ROAN | |
| 98 | ハチス | 折坂 悠太 | |
| 99 | I'M FREE | PARIS HILTON &RINA SAWAYAMA | |
| 100 | STEPBYSTEP | TAIKING FEAT. 荒谷 翔大 |
