はてなキーワード: HMとは
・0歳
・10歳
父の不倫により離婚。母の実家のある関東の田舎へ。祖父母と母との4人暮らし。
・13歳
・15歳
祖父母に大喜びされる。
・16歳
・17歳
偏差値40台の高校に進んだ地元の女友達とカラオケで童貞を捨てる。
彼女にバレて振られ三日間寝込む。
・18歳
・19歳
彼女も作らず、バイトもせず、祖父母と母からの仕送りで生活しながら4年間ラクロス漬け。ポジションはHM。
・22歳
・23歳
支店配属初日に寝坊して昼から出勤したり、職場の飲み会で行った顧客が営む居酒屋で場ゲロするなどの失敗をする。上司や先輩からシバかれながらも可愛がられる。
・26歳
3年間交際した職場の同期が「地元に帰りたい」と言ったため、東北地方の公務員試験を受験。
・27歳
・29歳
・30歳
・32歳
・35歳
夢のハリアーを納車する。
・36歳
飲み会の帰りに車で帰宅しようとしてしまい、女子大学生の運転する車と衝突。
・？？
受刑中に祖父が死去。
・？？
・現在
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.
先週大手HMの見学に行ってきたんだけど、間違った知識を話されるわ、うちを通さないとこの条件のローンは存在しないとか言うわ（当然他にもある）、最後には契約を急がされるわで散々だった
一番悲しいのは、何を質問してもディフェンスで返答されること。何を聞いても「そこが気になるお客様も確かにいらっしゃいますが、大丈夫です、うちで家を買った方はみんな最終的には満足していただけてます！」みたいな的外れなディフェンスをされる
こちらは別に敵じゃないし、安心がほしいわけじゃない。ただ興味を持って聞いてるんだから、緊張しすぎた卒論発表の学生みたいな感じになるのやめてほしい
こちらが客として良くないのかな
ひとかけ ニンニクだね。ニンニクは剥くとミカンの房みたいになってるからその一房分くらい。8ｇくらいかな
いしづき(食材の特定名称) キノコだね。精進料理やベジタリアンでは肉の歯ごたえといって珍重されるんだけどたいていは切りおとすものだね。えのきだけは石突きにオガクズが混じるから、外からみえるよりちょい上で切り落とそう。
縞に切る 茄子かキュウリかな？ シマシマになるように皮を剥くとなんかかっこいいだけだとおもう。
削ぎ切る(切ったもの使うの？捨てるの？) これは両方あるけど石突き・茄子のへたは捨てるね。刺身やチャーシューはもちろん捨てないね。常識で判断するかここにまた聞きに来て。
聞き慣れない材料または調味料(多分スパイス)(パクチーや大葉みたいな香草を調味料でなく野菜として使う頭おかしいレシピもあるので油断できない) パクチー大葉おいしいよ。あと地方野菜とかあるからまあググれ
ブレンダーとかプロセッサーとかスパチュラとかの謎の調理器具 スパチュラはバケガクでも美術でも使う、単なるヘラだよ。プロセッサーは処理機で（刻むマシンで誤用されてそう）ブレンダーはブレンドするものだよ（練るマシンで誤用されてそう）。
俺も、みんながまだ新築住宅主義でいてくれると助かる側の人間なんだけど、これからは賃貸派にとって追い風になるようなことも起きるかもしれないよ、と予測しています。
まず元増田が言うとおり、現時点でも、建材価格高騰と建設技能者の不足のダブルパンチによって、住宅取得価格がこの数年で1.2〜1.3倍ぐらいに上がっている。エビデンスとしては建設工事費デフレーターがある。
https://www.mlit.go.jp/sogoseisaku/jouhouka/sosei_jouhouka_tk4_000112.html
このデータの住宅総合の工事費を見ると、2015年7月を100とした指数値が、2018年3月期が102.8、2023年3月期には121.7と20%上がっていて、現場の感覚に近い（ちなみに現場感覚ではもっと上がっている）。これからもさらに上がるというのも元増田の指摘通り。5年前ぐらいの感覚で「この予算でこれぐらいの家が建つ」と考えてハウスメーカーを訪れた人は、今では到底それが叶わない夢だと知って絶望するかもしれない。
「同一条件の住宅取得価格が1.2〜1.3倍になる」ということは、同じ予算では「これぐらいの家を建てたい」という計画の7割程度の規模感の建物しか建てられない、ということだ（建物は規模が小さくなるほど坪単価が割高になるので）。だから地方でも、一般的な収入水準の若年カップル家庭の予算感では、それまで各地域で「身の丈レベル」と考えられていた規模の新築戸建て注文住宅を買えなくなってきている。で、そうしてシュリンクした需要の受け皿として：
という流れが、どの地域でも起きている。注文主体の大手高級ハウスメーカー（たとえば積水・住林・大和Hなど）も、2021年頃からは「用地を買って、刻んで、安くて小さい物件を建てて、建売で捌く」という動きが活発になってきている。
ここで行政はどういう立場を取るのか。国はもう、「新築住宅に対する助成」というアプローチは徐々に手仕舞いにしつつある。空き家問題がこれから待ったなしの社会問題になっていくからだ。日本で最初にこの問題に警鐘を鳴らしたのはNRIで、以後はここが空き家関連政策の議論をリードする形になっている。国もゆっくりとした歩みではあるが、これに呼応して「中古住宅物件のストック流通をやるぞ〜」という方向に向かっている。
すなわち、住んでない空き家に対しては高い課税をかけ、解体か流通の二択を迫る。放置すれば危険なレベルの空き家（特定空き家）は過料や行政代執行の対象にして排除する。中古住宅を（エネルギー効率で見て）快適に住めるようにする施策には補助金をかける。金融機関でのリバースモーゲージを促進し、「居住者が死んだら即・市場流通」という筋道を作る。中古住宅の性能を保証するためのホームインスペクション制度を整備する。などなど、外堀はじわじわ埋められている。
一方で新築住宅に対しては、今後は長期優良住宅やZEHなどの「低環境負荷」で「SDGs」な物件以外（たとえばローコスト住宅や土地を刻んで建てていく狭小建売など）は、住宅ローン減税などの優遇措置を見直すことでテーパーをかけて減らしていくと思われる。
理屈のうえでも、出産適齢期人口が激減しているのに、増え続ける中古住宅を放置して年間70〜80万戸の新築住宅を建て続けるような政策デザインは持続可能性に欠ける。そもそも新たに建てる土地も減ってきている。昔ならいざ知らず、もう市街化調整区域に新築住宅をバカスカ建てさせて将来のインフラ維持コストを上げて自らの首を絞めるような自治体も減っている。市街化区域で今建っている土地の今建っている建物を流通させるのが、建築経済的には理に適っている。
そんなわけで、今後は行政主導の「ストック住宅流通促進」×「新築住宅優遇税制のテーパリング」の流れが進むことで、これまでの日本の住宅市場では決定的に供給不足だった、ニューファミリー向けの戸建て賃貸物件の本格流通が始まると思われる。この流れは賃貸派にとって追い風になるだろう。
不動産クラスタ的目線で言うと、ファミリー向けの戸建て住宅というのは、そのライフサイクルを通して見たときの空間利用効率が悪いのは否定できない。端的に言って、子育てが終わった世代にとっては、2階建て住宅の2F部分は基本的にムダだ（実際、近年は富裕層シニア家庭でのバリアフリー減築・平屋減築や平屋住宅の再新築が盛んになっている）。
子育てをしていて親と子が同居している期間って、子1人で平均約20年、子2人でも約25年ぐらいしかない。モデルケースとして、夫婦25歳のときに家を建てて子どもを産み、その子どもが20歳になった時に家を出るとしよう。そのとき夫婦は45歳。人生100年時代なら余生は55年。その間ずっと、この夫婦は2Fの子ども部屋空間を有効活用できない。平均余命の延長により、われわれは持ち家のメリットを享受できる期間が相対的に短くなり、その2倍以上の期間をその持ち家で過ごすことになっている。投資として見れば、かなり分の悪い行動をしていることになる。
だったら政策的に居住流動性を高めて、持ち家がある老夫婦は今の住宅を4人暮らししたい人に賃貸して、その家賃で2人暮らしに向いた間取りの住宅なりマンションなりサ高住なりを借りて引っ越せばよろしい、というシナリオが出てくる。確かにこれならステークホルダーみんなWin-Winに見える。経済学的に言うと、政府の施策（新築住宅優遇政策）によって発生していた死荷重（≒非効率性）が除去されて、市場の効率性が高まった状態だともいえる。
だからどうだってわけじゃないんだけど、あえてオチをつけると、「元増田も指摘する諸条件を踏まえても、賃貸派が勝利するシナリオというのはありえるよ」という話でした。
ウクライナ美人を受け入れます！とか言って民度がバレちゃったからそうならずに残念でしたね
1980年代に東南アジアに売春旅行に行くのが流行ったらしいけど、そう遠くない未来に日本に各国から売春旅行に来られるようになったら初めて事の重大さに気がつくのかな。
ウクライナで中国人が人身売買。赤ちゃん連れ去り国境で逮捕、戦時下の女性や子どもを狙う蛮行に世界が激怒
国際
2022.03.18
2675
by たいらひとし
shutterstock_2131478075
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ロシアからの侵攻を受け数百万人の難民が発生しているウクライナ。女性や子どもがポーランドをはじめとした周辺国へ移動する中、中国人男性が新生児を人身売買するため連れ去ったとして逮捕された。多くのウクライナ人が命を落として戦っているのを尻目に及んだ中国人の蛮行に世界中から非難の声があがっている。
ウクライナ出入国管理局の公式サイトは14日、チェルニウチ州ポルブネ検問所で、新生児と推定される赤ちゃんを抱えて国境を渡ろうとした中国人男性2人をウクライナ国境警察が逮捕したと発表した。
コリア・エコノミクスによると、男性2人がルーマニアに出国しようと試みたものの、赤ちゃんの身分証明書類を持っていなかったため拘束されたという。ウクライナに2人が入国した際、子連れではなかった点、また滞在期間が短いことから、男たちの目的は人身売買とみれらる。
「赤ちゃんはウクライナ政府で世話をしており、現在は安全な状態」と国境警察は伝えているが、ウクライナ現地には他にも仲間がいるとみて、調べを進めている。
外見から異民族だとはっきりわかる中国人だったため検問で止めることができたが、これは氷山の一角に過ぎない。
ウクライナ国境では難民を狙った犯罪が急増。ウクライナの難民がポーランドに入る主要関門の一つであるメディカ国境検問所の前では、女性と子供たちだけを選んで車両に乗せようとした男性が関係者によって制止されてなどしている。
また、ウクライナ難民の受け入れ先の国では、人身売買業者が孤児となった子供たちを標的にしているとの報道もある。
【関連】ウクライナ侵攻は序章。プーチンがこれから世界に仕掛ける覇権戦争
中国では今年1月に東部江蘇省の農村で人身売買の被害者が納屋の中で鎖で拘束されている動画がインターネット上で拡散され、世界中に衝撃を与えたばかり。女性の夫が逮捕され、問題を放置した地元当局の幹部も処分された。
中国の検察機関では昨年1年間で人身売買に関わる犯罪で約1500人起訴されているが、なぜこれほどまでに中国で人身売買が盛んなのか？
中国国家統計局の資料によると、2020年の時点で全人口における男女の人数の差は、男性の方が3490万人も多い。人口性比（女性100人に対する男性の数）は105.07となり、“男余り”の実態が浮き彫りとなっている。さらに、結婚適齢期のに20代から40代に限れば、比率は108.9とさらに上がっているのが実情だ。
ちなみに、日本は総務省統計局によると、女性の方が270万人と多く、人口性比は95.8。中国とはまったく逆で男性の方が少数となっている。
こうした背景も中国による人身売買が減らないことの要因であるといえそうだ。
つい先日も中国のSNSで「私はウクライナの美女が無事に中国に輸入されるかどうかだけを気にしている」「未婚のウクライナの女の子を、戦争から保護する必要がある」 など、ウクライナ女性を“もの扱い”する投稿が飛び交って波紋を呼んた。
また、ロシアのウクライナ侵攻後から中国人男性がウェイボー（微博）でウクライナ女性とのマッチング希望者が急増しているとクーリエジャポンが報じた。
【関連】プーチン最大の誤算。“民度の高い”ウクライナ人の前に散る大国ロシア
東ヨーロッパからの人身売買は以前から国際的にも問題視されているが、今回の侵攻でさらに拍車がかかっていることは間違いない。女性や子どもがこれ以上被害に合わないためにも、ウクライナ侵攻が一刻も早く停戦に至ることが望まれている。
まさに中国、火事場泥棒より酷い。戦争中の国から幼兒を誘拐するとは許せない。
ウクライナ国境警備隊、赤ちゃん連れた中国人2名を逮捕 人身売買容疑 https://t.co/eOwhbrGjuY #スマートニュース
— HM.555 (@HHHMMM5552) March 18, 2022
火事場泥棒もここまでくると鬼畜だな。 ウクライナ国境警備隊、赤ちゃん連れた中国人2名を逮捕 人身売買容疑｜ニフティニュース https://t.co/fRlhL8Yx3L #ウクライナ #難民 #中国 #中国人 #韓国 #ニフティニュース
— やおやのかみ (@yaoyanoorochi) March 18, 2022
いまのウクライナから赤ちゃんを誘拐するのか…中国人はすごいな https://t.co/L48AYj4sUP
— ほむ塩 (@homujio) March 18, 2022
ほら、もう人身売買やっているのが発覚した。
１件発覚したら30件はあると思え
ウクライナ国境で新生児を人身売買しようとした疑いで中国人男性2人を逮捕｜ニフティニュース https://t.co/7BpM066iDH #ウクライナ #難民 #中国 #韓国 #ニフティニュース https://t.co/pJkqnd1Z7F
— 素材集め1000×365回 (@sh1957031340) March 18, 2022
ウクライナ国境警備隊、赤ちゃん連れた中国人2名を逮捕 人身売買容疑 https://t.co/K7okFattZi
— bokkurin (@dfxud2sItPLQ764) March 18, 2022
親を失って行き場のないウクライナ人女の子なんて標的になりそう。
— ブタさんに真珠 (@fuhaijii) March 18, 2022
ウクライナの人々は助かって欲しい。中国の野蛮人に強制結婚させられたり、子どもや女性は特に誘拐や人身売買ビジネスに巻き込まれて欲しくない。（人身売買は西側含めどこの国でもあるのだろう）安全を祈ることしかできない。
一つ、ものすごく気になるのは、テレビの煽り方を信じていいのかどうか?
— 小 鳥 ? (@pipipipipichi5) March 18, 2022
Allowed countries
AE - United Arab Emirates
AL - Albania
BE - Belgium
BG - Bulgaria
BI - Burundi
BM - Bermuda
BN - Brunei Darussalam
BO - Bolivia (Plurinational State of)
BZ - Belize
CD - Congo (Democratic Republic of the)
CH - Switzerland
CK - Cook Islands
CN - China
CO - Colombia
CR - Costa Rica
CY - Cyprus
CZ - Czech Republic
DE - Germany
DO - Dominican Republic
EE - Estonia
EG - Egypt
FI - Finland
FK - Falkland Islands (Malvinas)
FM - Micronesia (Federated States of)
GB - United Kingdom of Great Britain and Northern Ireland
GG - Guernsey
GH - Ghana
GN - Guinea
GS - South Georgia and the South Sandwich Islands
HK - Hong Kong
HM - Heard Island and McDonald Islands
HT - Haiti
HU - Hungary
IN - India
IO - British Indian Ocean Territory
IR - Iran (Islamic Republic of)
JE - Jersey
JO - Jordan
KE - Kenya
KI - Kiribati
KW - Kuwait
KZ - Kazakhstan
LA - Lao People's Democratic Republic
LB - Lebanon
LI - Liechtenstein
LK - Sri Lanka
LR - Liberia
LU - Luxembourg
LY - Libya
ME - Montenegro
NO - Norway
NU - Niue
OM - Oman
PE - Peru
PL - Poland
PM - Saint Pierre and Miquelon
QA - Qatar
RE - Réunion
RS - Serbia
RU - Russian Federation
RW - Rwanda
SC - Seychelles
SH - Saint Helena, Ascension and Tristan da Cunha
SK - Slovakia
SO - Somalia
SZ - Swaziland
TF - French Southern Territories
TJ - Tajikistan
TL - Timor-Leste
TN - Tunisia
TO - Tonga
TR - Turkey
TZ - Tanzania, United Republic of
UG - Uganda
UM - United States Minor Outlying Islands
US - United States of America
UY - Uruguay
UZ - Uzbekistan
VC - Saint Vincent and the Grenadines
VE - Venezuela (Bolivarian Republic of)
VI - United States Virgin Islands
VU - Vanuatu
YE - Yemen
ZA - South Africa
ZM - Zambia
ZW - Zimbabwe
後学のために聞きかじった話だけ載せている。
・MK省
・GM省
→出口面接で「官庁訪問に来ていただいても難しい」など言われる模様。
・NK府
・KS庁
→面接後のメールで「参加していただきありがとうございました」的な内容だけ送られてきて，次のタームへのアクションが書かれていない模様。
→メールで次のタームのお知らせが来る。
・KNK省
→お祈りメールあり。次のタームへ進む人にはその旨メールが行っている模様。
・K庁
→次のタームへ進む人にはメールが行っている模様。お祈りの場合は参加御礼メールだけが来る。
【選考かな？】
・KZ庁
→ほかの省庁も見てから次のタームの予約をしろといわれたひとが多数。
・NS省
→人によって第2タームのお知らせが来る時間がバラバラ。まだ来ていない人は望み薄なのか。
・BA省
→人によって第2タームを空けておくよう指示される場合があった模様。明示的なお祈りは特になし。
・KK省
→一部技術系が切られたとの情報があるが，全体的には第2まで進ませる模様。
【選考ではなさそう】
・KCH庁
・SS庁
・HM省
・ZM省
【選考ではない】
・人事院
→爆笑
https://www.youtube.com/watch?v=ghZpyHP7B_g
動画を再生できません この動画には Sony Music Entertainment (Japan) Inc. さんのコンテンツが含まれており、お住まいの地域では著作権上の問題で権利所有者によりブロックされています。
Allowed countries
AD - Andorra AE - United Arab Emirates AF - Afghanistan AG - Antigua and Barbuda AI - Anguilla AL - Albania AM - Armenia AO - Angola AQ - Antarctica AR - Argentina AS - American Samoa AT - Austria AU - Australia AW - Aruba AX - Åland Islands AZ - Azerbaijan BA - Bosnia and Herzegovina BB - Barbados BD - Bangladesh BE - Belgium BF - Burkina Faso BG - Bulgaria BH - Bahrain BI - Burundi BJ - Benin BL - Saint Barthélemy BM - Bermuda BN - Brunei Darussalam BO - Bolivia (Plurinational State of) BR - Brazil BS - Bahamas BT - Bhutan BV - Bouvet sland BW - Botswana BY - Belarus BZ - Belize CA - Canada CC - Cocos (Keeling) Islands CD - Congo (Democratic Republic of the) CF - Central African Republic CG - Republic of the Congo CH - Switzerland CI - Côte d'Ivoire CK - Cook Islands CL - Chile CM - Cameroon CN - China CO - Colombia CR - Costa Rica CU - Cuba CV - Cabo Verde CX - Christmas Island CY - Cyprus CZ - Czech Republic DE - Germany DJ - Djibouti DK - Denmark DM - Dominica DO - Dominican Republic DZ - Algeria EC - Ecuador EE - Estonia EG - Egypt EH - Western Sahara ER - Eritrea ES - Spain ET - Ethiopia FI - Finland FJ - Fiji FK - Falkland Islands (Malvinas) FM - Micronesia (Federated States of) FO - Faroe Islands FR - France GA - Gabon GB - United Kingdom of Great Britain and Northern Ireland GD - Grenada GE - Georgia (country) GF - French Guiana GG - Guernsey GH - Ghana GI - Gibraltar GL - Greenland GM - Gambia GN - Guinea GP - Guadeloupe GQ - Equatorial Guinea GR - Greece GS - South Georgia and the South Sandwich Islands GT - Guatemala GU - Guam GW - Guinea-Bissau GY - Guyana HK - Hong Kong HM - Heard Island and McDonald Islands HN - Honduras HR - Croatia HT - Haiti HU - Hungary ID - Indonesia IE - Republic of Ireland IL - Israel IM - Isle of Man IN - India IO - British Indian Ocean Territory IQ - Iraq IR - Iran (Islamic Republic of) IS - Iceland IT - Italy JE - Jersey JM - Jamaica JO - Jordan KE - Kenya KG - Kyrgyzstan KH - Cambodia KI - Kiribati KM - Comoros KN - Saint Kitts and Nevis KP - North Korea KR - Korea (Republic of) KW - Kuwait KY - Cayman Islands KZ - Kazakhstan LA - Lao People's Democratic Republic LB - Lebanon LC - Saint Lucia LI - Liechtenstein LK - Sri Lanka LR - Liberia LS - Lesotho LT - Lithuania LU - Luxembourg LV - Latvia LY - Libya MA - Morocco MC - Monaco MD - Moldova (Republic of) ME - Montenegro MG - Madagascar MH - Marshall Islands MK - Republic of Macedonia ML - Mali MM - Myanmar MN - Mongolia MO - Macao MP - Northern Mariana Islands MQ - Martinique MR - Mauritania MS - Montserrat MT - Malta MU - Mauritius MV - Maldives MW - Malawi MX - Mexico MY - Malaysia MZ - Mozambique NA - Namibia NC - New Caledonia NE - Niger NF - Norfolk Island NG - Nigeria NI - Nicaragua NL - Netherlands NO - Norway NP - Nepal NR - Nauru NU - Niue NZ - New Zealand OM - Oman PA - Panama PE - Peru PF - French Polynesia PG - Papua New Guinea PH - Philippines PK - Pakistan PL - Poland PM - Saint Pierre and Miquelon PN - Pitcairn PR - Puerto Rico PS - State of Palestine PT - Portugal PW - Palau PY - Paraguay QA - Qatar RE - Réunion RO - Romania RS - Serbia RU - Russian Federation RW - Rwanda SA - Saudi Arabia SB - Solomon Islands SC - Seychelles SD - Sudan SE - Sweden SG - Singapore SH - Saint Helena, Ascension and Tristan da Cunha SI - Slovenia SJ - Svalbard and Jan Mayen SK - Slovakia SL - Sierra Leone SM - San Marino SN - Senegal SO - Somalia SR - Suriname ST - Sao Tome and Principe SV - El Salvador SY - Syrian Arab Republic SZ - Swaziland TC - Turks and Caicos Islands TD - Chad TF - French Southern Territories TG - Togo TH - Thailand TJ - Tajikistan TK - Tokelau TL - Timor-Leste TM - Turkmenistan TN - Tunisia TO - Tonga TR - Turkey TT - Trinidad and Tobago TV - Tuvalu TW - Taiwan TZ - Tanzania, United Republic of UA - Ukraine UG - Uganda UM - United States Minor Outlying Islands US - United States of America UY - Uruguay UZ - Uzbekistan VA - Vatican City State VC - Saint Vincent and the Grenadines VE - Venezuela (Bolivarian Republic of) VG - British Virgin Islands VI - United States Virgin Islands VN - Viet Nam VU - Vanuatu WF - Wallis and Futuna WS - Samoa YE - Yemen YT - Mayotte ZA - South Africa ZM - Zambia ZW - Zimbabwe
hmマス呼びしたり、ホモになるから観たくないとか、SideMに興味ないけど以下略とか。そういうアピール（笑）は飽きた。くだらない。
自分のことが男性だから男性に顔合わせたくないとか、キミたちはその理論で自分のことを正常と思うのですか？
特撮観る時も少年漫画読む時も別にホモになるワケじゃないだから、
「アイドルマスター SideM」を観るのもそういう雰囲気なんですよ。
女性アイマスと違って、SideMはギャルゲー（乙ゲー）的なゲームじゃないし、別に腐女子ホイホイする作品でもないですよ。
そうやって曖昧な領域に立って、色んな人に触られてもOKだからこそ、夢女子にも腐女子にも男性にも魅力的だと私は思う。
そもそも「アイドルマスター SideM」は、アイドルと『親愛度』を結ぶじゃなくて、『信頼度』を深めるゲームですよ。
だから、男性のキミたちが男性キャラに恋する話ではなく、なるべく親（プロデューサー）として息子（アイドル）という感覚で、アニマスとお馴染みな雰囲気している「アイドルマスター SideM」を観守って欲しい。
P.S. 765AS単独はもうキツいだろうと思った2016年だったのに、今年はプロミとハッチポッチで全員出演や、来年あずみん抜き単独LIVEや2回目のプロミ開催決定……、Jupiter（の声優3人）を揃う方が難易度高くない？
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少女だからって鼻の下伸ばしてんじゃねえぞこのロリコンどもが！音楽的にはクソじゃないか、こんなのがメタルを名乗っててお前ら本当にいいのか？悲しくないのか？腹が立たないのか？世界中に問いたい。
30年前の酒井康が生きていた頃ならレビューで０点がつくだろう。あの豚は嫌いだがぐぐって読み返したらそのまま使えそうなので引用しとく。
「面白い、楽しい、笑える でも、それは、結局、HMに対する侮辱だと思う。完全に色物だが、当然、ファンもつくし、興味を示すプレスもあるだろう。しかし、それが一体どれくらい続くのか？ もし、洒落でやってるとしたらこれほど人を馬鹿にしていることはない。こういう新人を出すレコード会社の人間も最低である。奴らはHMのことを真剣に考えてはいない。頭の中は“商売、商売、金、金、金……”。頭がいいのに悪事に使ってしまう愚か者と同様、技術はあるのに邪道を走ってしまったこのバンドにインテリジェンスを求める僕が悪いのか……。真面目にやってるバンドが可哀いそうだ。宛名の書き方も知らない不作法なスタッフもバンド以上に情けない。Fuck Off!!」BURRN! 1985年11月号より抜粋