  |
はてなキーワード: structureとは
https://note.com/beatangel/n/nf3cc050ac5ba
男性の脳の総容積は平均して体格差を考慮しても男性の方が大きく、1般的に女性より大きいことは以前から
一般においてもwikipediaに脳の容積に性差がある記述があるぐらいには既知なので
学問の世界で否定する人はおらんのでは？タブーでもなんでもないと思う、高卒だしアカデミアの世界は知らんけど
https://www.sciencedirect.com/science/article/abs/pii/S014976341500250X?ref=quillette.com
因みに研究分析によれば脳の総容積の違いはIQの分散（違いを説明する為の因子としてどの重要か）の約16%を占めるそうである。
ソースとしている論文のハイライトにはBrain size is not a necessary cause for human IQ differencesとあり
技術の進歩により脳の大きさとIQの相関が今まで言われていたよりずっと小さいことが分かったと書いてある
また、この論文は最後に「However, invoking the literature on cross-species comparisons and primate cognitive evolution to argue for brain size as an isomorphic proxy for human intelligence differences is not warranted. Such assumptions are」と釘を刺しているが
なぜ釘を刺さないといけないのかということを彼自身が証明してしまっている…
2015年に504人の調査では子供において負の相関関係（皮質が薄いほど認知能力がある）が確認された。
このような事実は何故物議を醸すのか？
女の脳は男よりも厚い、しかし、薄いほど認知能力がある、よって女は男より認知能力が劣ると言いたいようだが
These findings suggest that intelligence may be more related to the magnitude and timing of changes in brain structure during development than to brain structure per se, and that the cortex is never completed but shows continuing intelligence-dependent development.
単純に薄いほどIQが高いという話ではなくどのタイミングで薄くなるかということが重要な様
In the more intelligent young adults, this relationship reverses so that by the age of 42 a thicker cortex is associated with higher intelligence
https://note.com/beatangel/n/nd0232cdd3c61
女性の発達障害について2昔前は「発達障害は男性的な特徴の過剰化が原因であり、従って女性にはあまり存在しない（極端な男性脳）」と言われてきた。
しかし、発達障害概念の広がりに伴って女性当事者が増え始め、また脳の状態をスキャンするとそこまで男女比がないことなどが明らかになり、
1昔前は「女性当事者はソーシャルスキルに優れているので発達障害症状を誤魔化せてしまい、周囲から気付かれにくい」と言われてきた。
しかし定量的に比較した結果、ソーシャルスキルに性差がないことが判明し、
今（2021年）では「女性はジェンダーバイアスによりコミュ障でも男性より好意的に見られやすく、また良いも悪いも女性社会の強烈な同調圧力により逸脱を抑え込まれてる」説が唱えられている。
彼は以前の記事でこのように書いている、ASDおよびADHDの男女比に大きな偏りがあるがそれは脳の性差ではないと
しかし、彼が一番最初に示した論文は違うことを言っている、脳の容積以外にも様々なデータをとり脳に性差があることを示し
それらが一部の精神疾患における男女の偏りの原因を解明する一歩になるのではないかと、論文中でも以下が言及されている
Why Are Autism Spectrum Conditions More Prevalent in Males?
https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001081
もちろん、認知症のように女が男より多い疾患もありそれらにも言及されているし
脳の性差がこれらと関連していると決定づけているわけではない
彼の良い所はソースを示してくれること、実際、興味深いものが多いが
記事の信ぴょう性は薄いというのが個人的な感想、どうもチェリーピッキングしてるっぽいから自分で論文読めばいいと思う
アンチフェミニズムを拗らせた結果、憎んでいる相手と同じになっていないか？
一番古い5年前のnoteを読んでみたがこの時の彼は好印象だった
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.
Programming proficiency necessitates a comprehensive understanding of multifaceted concepts, paradigms, and philosophies that underpin the art and science of software development. The Unix philosophy, with its emphasis on modularity, simplicity, and composability, serves as a foundational ethos for elegant code design. This philosophy advocates for creating small, focused programs that excel at singular tasks, facilitating the construction of complex systems through the judicious composition of these atomic units.
Proficient programmers must possess an encyclopedic knowledge of algorithms and data structures, enabling them to architect solutions with optimal time and space complexity. This encompasses a deep understanding of sorting algorithms (e.g., quicksort, mergesort), searching techniques (binary search, depth-first search), and advanced data structures (red-black trees, B-trees, Fibonacci heaps) The ability to analyze algorithmic efficiency using Big O notation is paramount for creating scalable solutions.
OOP principles—encapsulation, inheritance, and polymorphism—form the bedrock of modern software architecture. Mastery of design patterns (e.g., Singleton, Factory, Observer) and SOLID principles is crucial for creating maintainable and extensible codebases.
The FP paradigm, with its emphasis on immutability and pure functions, offers a powerful approach to managing complexity and facilitating parallel execution. Proficiency in higher-order functions, currying, and monads is essential for leveraging FP's full potential.
Expertise in language-specific advanced features, such as C++'s template metaprogramming or Python's metaclasses, allows for the creation of highly generic and reusable code. Understanding compiler theory and the ability to write domain-specific languages (DSLs) further expands a programmer's capabilities.
In an era of multi-core processors and distributed systems, mastery of concurrent programming models (e.g., actor model, communicating sequential processes) and parallel algorithms is indispensable. This includes proficiency in lock-free data structures, memory models, and synchronization primitives.
A deep understanding of computer architecture, operating systems, and memory management enables the creation of highly optimized, low-level code. This encompasses knowledge of cache coherence protocols, CPU pipeline optimization, and assembly language programming.
In an increasingly interconnected world, a thorough grasp of cryptographic principles, secure coding practices, and common attack vectors (e.g., buffer overflows, SQL injection) is crucial for developing robust and secure systems.
Proficiency in distributed version control systems (e.g., Git) and collaborative development practices (code reviews, continuous integration) is essential for effective team-based software development.
Advanced testing methodologies, including property-based testing, fuzzing, and formal verification techniques, are indispensable for ensuring software reliability and correctness.
In conclusion, the pantheon of programming knowledge extends far beyond mere syntax mastery. It encompasses a rich tapestry of theoretical concepts, practical skills, and philosophical approaches that, when harmoniously integrated, enable the creation of elegant, efficient, and robust software systems. The relentless pursuit of this multifaceted expertise is the hallmark of a truly accomplished programmer.
「科学もまた信仰である」という言説は、「科学的な知識も絶対的な真理を保証するものではなく、一定の信念や仮定に基づくものだ」とする批判的視点から生まれたものです。しかし、科学的手法と信仰には重要な違いがあり、「科学＝信仰」と見なすのは適切ではありません。以下に、科学と信仰の違いを説明します。
1. 方法論の違い
• 科学的手法は観察、仮説の構築、実験、検証を通じて知識を構築するプロセスです。この方法により、科学は経験に基づく「反証可能性」や「再現可能性」を強調します。カール・ポパーの「反証主義」によれば、科学理論は反証される可能性があるため、常に修正や更新が可能です 。
• 信仰や宗教的手法は、しばしば絶対的・普遍的な真理を前提とし、その真理が神聖であり不変であると見なすことが多いです。宗教は超自然的な存在や教義に対する信念を中心とし、その信念の正当性は経験や反証可能性に依存しません 。
• 科学のもう一つの特徴は再現性であり、どこで誰が行っても同じ条件下で同様の結果が得られることを重視します。また、結果が反証されることを受け入れ、実証が積み重なることでその知識の信頼性が高まります。
• 宗教的信仰は、個人の内面的な体験や霊的な啓示を重視し、再現性は必須ではありません。むしろ、絶対的な教義や超越的な存在に対する信頼が重要視され、反証されることを前提にしません 。
• 科学は自己修正的であり、新しい発見や技術の進歩に応じて絶えず知識を更新します。例えば、ニュートンの古典力学はアインシュタインの相対性理論によって一部修正されましたが、それにより科学が進化しました。
• 宗教における信仰や教義は、一般に歴史的に固定され、変化しないことがその信仰の価値とされます。特定の教えが絶対であるとされるため、科学のように容易に進化することはありません。
4. 結論
「科学もまた信仰である」という見解は、科学の限界や仮定を指摘し、人間の知識が絶対ではないことを強調しています。しかし、科学は常に新しいデータや反証に基づいて進化し続けるという点で、宗教や信仰とは本質的に異なります。信仰が個人の確信や不変の教義に基づくものであるのに対し、科学は実証と論理を重視する柔軟なプロセスです。そのため、科学を信仰と同じ枠組みで論じることには、誤解を生むリスクがあります。
: Popper, K. “The Logic of Scientific Discovery.”
: Eliade, M. “The Sacred and the Profane.”
: Kuhn, T. “The Structure of Scientific Revolutions.”
In today’s fast-paced travel industry, small businesses need to stay nimble and connected. One way to do this is by tapping into flight APIs. These powerful tools can elevate your travel booking system, making it easier to offer competitive flight options. So, what’s the the best flight API for your small travel business? Let’s explore some of the top choices out there.
Understanding Flight APIs: What Are They?
At their core, flight APIs allow access to flight data. Think of them as a bridge connecting users to various airlines and travel service providers. By integrating these APIs, small businesses can fetch flight schedules, availability, and prices, helping travelers find the deals they need, all in one place.
Skyscanner API: A Treasure Trove of Options
Skyscanner API stands out as a favorite. It's like having your own travel assistant at your fingertips. This API provides comprehensive data on flights, accommodations, and car rentals across multiple airlines. With its user-friendly structure, you can seamlessly integrate it into your website. Plus, it’s excellent for small businesses looking to offer a wide range of options without getting bogged down by complex systems.
Amadeus API: Powering Your Travel Solutions
Amadeus isn't just a giant in the travel world; it’s a goldmine for small businesses too. This API provides robust functionalities, allowing you to access information about flight availability, fare rules, and even check-in details. Imagine being able to offer your customers personalized travel experiences, all thanks to the wealth of data Amadeus supplies.
Kiwi.com API: The Flexibility You Need
Kiwi.com API gives you the flexibility to combine different airlines and find unique routes. It’s like having a magic wand that creates unconventional itineraries! You can cater to budget travelers who love to explore offbeat paths. In a world where travelers crave personalized experiences, this API offers just that.
Travelport API: A Well-Rounded Option
If you’re looking for a well-rounded travel API, Travelport does not disappoint. It offers access to a multitude of airlines and provides detailed pricing and availability. Using Travelport, you can manage bookings and even handle customer service queries seamlessly. It’s like having a one-stop shop for all your travel API needs.
Sabre API: The Industry Leader
Sabre API is another heavyweight champion in the travel industry. With a vast network and established reputation, it provides detailed flight information and booking capabilities. If your small business aims to grow into a trusted name, partnering with Sabre can help you reach a broader audience.
What to Consider When Choosing an API
Choosing the right API can be overwhelming, but it boils down to a few essential factors:
• Cost: Is there a fee to use the API? Always weigh the costs against your potential revenue.
• Documentation: How easy is it to integrate? Well-documented APIs are easier and less time-consuming to implement.
• Support: If you run into issues, how responsive is their support team? Quality customer support can save you a lot of headaches.
For small travel businesses, flight APIs are more than just tools; they’re keys to unlocking wider opportunities. Each API has its unique perks, so it’s crucial to find the one that aligns with your business goals. With the right flight API, you can simplify booking processes, enhance customer satisfaction, and ultimately boost your bottom line. Embrace the innovation, and let your travel business soar!
Source & Published by: https://www.namantechnolab.com/
In today’s fast-paced travel industry, small businesses need to stay nimble and connected. One way to do this is by tapping into flight APIs. These powerful tools can elevate your travel booking system, making it easier to offer competitive flight options. So, what’s the the best flight API for your small travel business? Let’s explore some of the top choices out there.
Understanding Flight APIs: What Are They?
At their core, flight APIs allow access to flight data. Think of them as a bridge connecting users to various airlines and travel service providers. By integrating these APIs, small businesses can fetch flight schedules, availability, and prices, helping travelers find the deals they need, all in one place.
Skyscanner API: A Treasure Trove of Options
Skyscanner API stands out as a favorite. It's like having your own travel assistant at your fingertips. This API provides comprehensive data on flights, accommodations, and car rentals across multiple airlines. With its user-friendly structure, you can seamlessly integrate it into your website. Plus, it’s excellent for small businesses looking to offer a wide range of options without getting bogged down by complex systems.
Amadeus API: Powering Your Travel Solutions
Amadeus isn't just a giant in the travel world; it’s a goldmine for small businesses too. This API provides robust functionalities, allowing you to access information about flight availability, fare rules, and even check-in details. Imagine being able to offer your customers personalized travel experiences, all thanks to the wealth of data Amadeus supplies.
Kiwi.com API: The Flexibility You Need
Kiwi.com API gives you the flexibility to combine different airlines and find unique routes. It’s like having a magic wand that creates unconventional itineraries! You can cater to budget travelers who love to explore offbeat paths. In a world where travelers crave personalized experiences, this API offers just that.
Travelport API: A Well-Rounded Option
If you’re looking for a well-rounded travel API, Travelport does not disappoint. It offers access to a multitude of airlines and provides detailed pricing and availability. Using Travelport, you can manage bookings and even handle customer service queries seamlessly. It’s like having a one-stop shop for all your travel API needs.
Sabre API: The Industry Leader
Sabre API is another heavyweight champion in the travel industry. With a vast network and established reputation, it provides detailed flight information and booking capabilities. If your small business aims to grow into a trusted name, partnering with Sabre can help you reach a broader audience.
What to Consider When Choosing an API
Choosing the right API can be overwhelming, but it boils down to a few essential factors:
• Cost: Is there a fee to use the API? Always weigh the costs against your potential revenue.
• Documentation: How easy is it to integrate? Well-documented APIs are easier and less time-consuming to implement.
• Support: If you run into issues, how responsive is their support team? Quality customer support can save you a lot of headaches.
For small travel businesses, flight APIs are more than just tools; they’re keys to unlocking wider opportunities. Each API has its unique perks, so it’s crucial to find the one that aligns with your business goals. With the right flight API, you can simplify booking processes, enhance customer satisfaction, and ultimately boost your bottom line. Embrace the innovation, and let your travel business soar!
Source & Published by: https://www.namantechnolab.com/
It's sudden, but right now in Japan, creativity is facing a true crisis. Characters like Uzaki-chan, Onsen Musume, and Tojo Rika are being targeted and flamed, game character designs are being infiltrated by political correctness, Johnny's Entertainment is being dismantled, swimsuit photo sessions in parks are being canceled, Hitoshi Matsumoto is being publicly shamed, and the new AV law was enacted without considering the opinions of those directly involved. Every form of expression in every venue is currently under unreasonable pressure.
How does this connect to the Tokyo gubernatorial election? In fact, a major event directly linked to this is occurring in the 2024 Tokyo gubernatorial election. As a creator, I hope this message reaches you.
What I am about to share is a story about someone named Himasora Akane, who you should know about to resist such pressures. But before I dive into that story, I want to express my deep gratitude to my old friend Nozomi for giving me the opportunity to post this article in a place where many creators will see it. As someone who also loves manga, anime, and games, I hope this information will benefit Japanese society and support Nozomi's activities.
Himasora Akane Should Be the Governor of Tokyo
First, I would like to make a straightforward request to you as a creator: please support Himasora Akane for governor. In this election, please write "Himasora Akane" on your ballot. The voting day is July 7th. Even if you are not a Tokyo resident, I ask that you at least listen to this story. If you find it interesting, please share it with your friends, family, and acquaintances. You can check Himasora Akane's campaign promises and the background of their candidacy on their Twitter (X) posts linked below:
Himasora Akane (Tokyo gubernatorial candidate)
https://x.com/himasoraakane/status/1804846779399324095
Himasora Akane Will Not Allow Our Culture to Be Burned
Himasora Akane is an ordinary otaku who loves manga, anime, and games. Known as "Cognitive Profiling Detective Akane Himasora," he has been active on Twitter (X) and YouTube, and now he is running for governor. Akane, who is deeply concerned about the repression and destruction of otaku culture, is challenging those who seek to destroy our culture alone. Akane will never allow those who try to burn our culture.
As mentioned at the beginning, all forms of expression are currently under pressure. Otaku culture, in particular, seems to be a prime target.
Uzaki-chan Blood Donation Poster Controversy (2019): A collaboration between the Japanese Red Cross Society and the manga Uzaki-chan was flamed for allegedly being overly sexual in its PR illustration.
V-Tuber Traffic Safety Video Controversy (2021): A V-Tuber hired by the Matsudo Police Department in Chiba Prefecture was deemed too sexual for public agency PR.
Onsen Musume Controversy (2021): Characters personifying local hot springs were criticized as sexist.
Mie Transport Official Character Controversy (2024): A character in a bus driver's uniform released by Mie Transport was flamed for evoking sexual images.
These controversies are often fueled by so-called political correctness and feminism. For creators, these are direct threats. If these factions label your work as sexual and demand it be burned to ashes, could you resist? How would you feel if your painstakingly created work, like your own child, was trampled by people who have no regard for your efforts? Could you continue your creative activities while constantly shrinking away?
Himasora Akane saw something behind these flaming incidents. He started investigating the key figure behind the Onsen Musume controversy, a representative of a general incorporated association in Tokyo. This association's core business, the Young Female Victims Support Project, received substantial public funds from Tokyo. Akane submitted public document disclosure requests to Tokyo and thoroughly dug into the organization. During his investigation, Akane uncovered many suspicions suggesting this project was unworthy of public funding, which he exposed one by one on social media.
Negligent accounting reports, taking protected girls to the Henoko base protest in Okinawa, Communist Party members waiting in the bus used to protect girls—these revelations drew significant attention online. The investigation extended beyond this general incorporated association to other NPOs receiving public funds, and Akane named this cluster of issues the "WBPC problem" after the initials of these organizations.
Akane's YouTube Channel (WBPC Problem Playlist)
https://www.youtube.com/playlist?list=PLI5gTciLKtAXRyzv9j5FiNMcc8eoEBbMN
From here, Akane's story expanded to resident audits, resident lawsuits, and national compensation lawsuits concerning the Tokyo Young Female Victims Support Project. Akane discovered that behind many flaming incidents, there is no clear command structure but a group of various political organizations and activists working together like an amoeba. He named this group the "Nanika Group" (Nanika means "something" in Japanese), a reference to the mysterious, ominous "something from another place" in the manga HUNTER×HUNTER, which Akane loves. The Nanika Group is also connected to welfare interests, where public funds flow unchecked. Akane called this phenomenon "Public Fund Chu-Chu" (siphoning).
For creators, this means the tax money they earn through hard work is used to burn their precious works. It's an intolerable situation.
Himasora Akane Is Fighting Against Those Who Burn Our Culture
In November 2022, a major event marked a turning point in this series of controversies. The general incorporated association under scrutiny held a press conference at the parliamentary office building, gathering media and announcing a lawsuit against Akane. This "Legal Harassment Press Conference," as it was called online, involved multiple layers of power: the government, the media, and a team of seven lawyers targeting a single individual.
However, Akane did not back down. Instead, he intensified his pursuit, exploiting the opponent's careless statements as lawsuit fodder. This led to an outpouring of support on social media, with his Twitter follower count skyrocketing and 160 million yen in donations for legal fees.
The following year, a resident audit request filed by Akane resulted in Tokyo's official website recognizing some improper points and deciding to audit the organization. However, Tokyo's lenient audit led Akane to file a resident lawsuit. Suspicion also turned towards Governor Yuriko Koike for allocating public funds through dubious sole-source contracts. Tokyo began excessively redacting documents in response to public document requests, attempting to conceal the issue. Koike's promise to end document redaction quietly disappeared from her campaign page.
Throughout this battle, Akane has been a target of criminal complaints and faced threats, yet he persists. His book "Netoge Senshi" was released amid bookstore threats, but only the criminal complaint was widely reported by the media, portraying Akane negatively.
Himasora Akane is an ordinary otaku, a top-tier online gamer during his student days, and a talented game creator who worked for a major game company and later a venture company. His meticulous work on the game "Shin Goku no Valhalla Gate" was betrayed by the company's CEO, leading to a seven-year legal battle that Akane ultimately won, securing 600 million yen. This experience fuels his fierce opposition to having his creations burned.
Before investigating the Young Female Victims Support Project, Akane exposed fraudulent feminist "knights" on his YouTube channel, shaking the internet. He detests lies and has an uncanny ability to detect them.
Akane is a special individual with extraordinary abilities, honed through his experiences in games, court battles, and extensive document analysis. His pursuit of truth and justice makes him a suitable candidate for governor, promising a world without lies and where honest people do not suffer.
What We Can Do to Protect Our Culture
Creative expression can be crushed if we are not vigilant. Even in modern Japan, otaku culture is on thin ice. The recent cessation of Visa transactions for DMM (Fanza) is a reminder of how a single card company can wield its power to dictate what is deemed appropriate expression. Expression freedom is fragile and constantly under threat.
To those reading this, I urge you to vote for Himasora Akane. Support him to protect our culture. Despite his harsh demeanor and preference for solitary battles, he is now seeking help for the first time. Akane feels the danger in this gubernatorial election and believes that if he does not become governor, everything will end. He has taken a stand for the people of Tokyo and Japan.
I wrote this article to support his spirit and spread the word. Please vote for Himasora Akane and help create a miracle.
To you, the creator, I sincerely hope this message reaches you.
[QATAR~Airways]™ How do I speak to someone on Qatar Airways??#Call~Now
Phone assistance: One of the quickest ways to speak with a Qatar 𝔸𝕚𝕣𝕨𝕒𝕪𝕤 support agent is by calling +11||833||563||0205. or +11||833||563||0205. The phone number for Qatar 𝔸𝕚𝕣𝕨𝕒𝕪𝕤 assistance is listed on their official website. Simply call the number and follow the prompts to speak with a person for customer service
For fast assistance, call their customer service hotline at +11||833||563||0205. or +11||833||563||0205. This ensures direct communication with a live representative. 𝓠𝓪𝓽𝓪𝓻 𝗔𝗶𝗿𝗹𝗶𝗻𝗲's phone number to call and talk with a live 𝗿𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝘃𝗲 fast is +11||833||563||0205. or +11||833||563||0205.
To speak to someone at Qatar, simply dial +11||833||563||0205. or +11||833||563||0205 for assistance with bookings and inquiries. You can also reach out via email, chat, or social media for help. Qatar 𝔸𝕚𝕣𝕨𝕒𝕪𝕤 is committed to making it easy for customers to access the support they need.
How can I speak to Qatar Airlines?
The most convenient and fastest way to speak to someone at Qatar 𝔸𝕚𝕣𝕝𝕚𝕟𝕖𝕤 is by calling their customer service number at +11||833||563||0205. or +11||833||563||0205 {Qatar 𝔸𝕚𝕣𝕨𝕒𝕪𝕤}. Alternatively, you can start a chat conversation online for assistance.
How do I talk to a Qatar representative fast?
Talk to someone on Qatar Airline smoothly, give their dedicated support line a ring at +11||833||563||0205. or +11||833||563||0205. Take your time and listen carefully to the automated prompts, then share all the required information to help them solve your problem quickly. Remember to speak clearly and politely to make sure you have a good experience.
How can I communicate with Qatar?
𝕋𝕠 ℂ𝕠𝕟𝕟𝕖𝕔𝕥 with Qatar 𝔸𝕚𝕣𝕝𝕚𝕟𝕖𝕤, explore multiple channels like their website, mobile app, or customer service hotline at +11||833||563||0205. or +11||833||563||0205. Booking 𝖋𝖑𝖎𝖌𝖍𝖙𝖘, managing reservations, and accessing travel information are seamless online.
Qatar , as a leading online travel agency, understands this need and offers various support channels to assist its customers. To talk to a Person at Qatar for live support, you have options. You can call their Qatar customer service hotline at " +11||833||563||0205. or +11||833||563||0205 (𝕼𝖚𝖎𝖈𝖐 𝕮𝖔𝖓𝖓𝖊𝖈𝖙)", engage in live chat on their website, or use email support.
How can I communicate with Qatar?
Talk on Qatar Customer Service for live support, You can call their Qatar customer service 24/7 Hotline Number USA:- +11||833||563||0205. or +11||833||563||0205 (Live Person) or +11||833||563||0205. or +11||833||563||0205 (𝕼𝖚𝖎𝖈𝖐 𝕮𝖔𝖓𝖓𝖊𝖈𝖙), engage in a live chat on their website, or use email support. Speaking to a person at Qatar is simpler than you might think. Whether you're facing issues with your booking, need to make changes to your travel plans, or have specific inquiries, getting in touch with a live representative can significantly ease your concerns. This section provides a detailed, step-by-step guide on how to reach out to Qatar 's customer service via phone +11||833||563||0205. or +11||833||563||0205 (Live agent), including the best times to call to minimize your waiting period.
How can I communicate with Qatar?
Talk to someone on Qatar 𝔸𝕚𝕣𝕝𝕚𝕟𝕖𝕤, you have a few options. You can give them a call at their customer service hotline, which is +11||833||563||0205. or +11||833||563||0205 (𝓛𝓲𝓿𝓮 𝓟𝓮𝓻𝓼𝓸𝓷). Alternatively, you can chat with them live on their website or utilize their email support.
How can I communicate with Qatar?
To talk to a Person at Qatar for live support, you have options. You can call their Qatar Customer Service Hotline AT: +11||833||563||0205. or +11||833||563||0205(𝕼𝖚𝖎𝖈𝖐 𝕮𝖔𝖓𝖓𝖊𝖈𝖙). The specific number can vary by country, so it's best to visit Qatar 's website or check your booking confirmation for the most accurate contact information. Qatar offers different phone numbers for different services and regions.
Live Chat: Qatar provides a live chat service on their website and mobile app, allowing you to chat in real-time with a customer service representative.
Email: While direct email might not be prominently featured, you can often use the contact form on the Qatar website to send an email to their customer service department.
Social Media: Qatar has a customer service Twitter account (@Qatar Help), where you can send direct messages or mention them in a tweet for assistance.
Before reaching out, it's helpful to have your booking information readily available to expedite the support process. Due to high demand, wait times can vary, so consider the urgency of your inquiry when choosing how to contact them.
Alternative Contact Methods
While direct calls may be preferable for immediate assistance, Qatar also provides alternative methods to reach out for support. This includes email support, where you can detail your concerns and queries; the live chat feature, offering real-time assistance; and social media platforms, where Qatar 's responsiveness is both effective and timely. Exploring these options can offer convenience and flexibility based on your specific needs.
Understanding Qatar 's Support Structure
Navigating customer support can sometimes feel like a maze. Understanding Qatar 's support structure is key to directing your concerns to the right department. This section breaks down the organizational structure of Qatar 's customer service, offering insights into each department's function and tips on how to escalate your concerns effectively.
Tips for a Smooth Qatar Support Experience
A smooth support experience with Qatar is not just about reaching out; it's also about how you communicate. This includes preparing your booking information beforehand, being clear and concise with your queries, and having patience throughout the process. These tips are designed to enhance your interaction with Qatar 's customer service, +11||833||563||0205. or +11||833||563||0205 (Live agent) ensuring your concerns are addressed efficiently.
Common Issues Handled by Qatar Support
From booking amendments to cancellations and refunds, and troubleshooting technical issues, Qatar 's customer service handles a wide array of concerns. This section outlines the most common issues customers face and how Qatar 's support team addresses them, providing you with a clearer expectation of the assistance available.
Maximizing the Use of Qatar 's FAQ Section
Before reaching out for personal assistance, exploring Qatar 's FAQ section can be incredibly helpful. This section guides you through navigating the FAQ, highlighting how to find answers to common questions quickly and efficiently, potentially saving you time and effort.
Feedback: Improving Qatar 's Customer Service
Your feedback is crucial in shaping the future of Qatar 's customer service +11||833||563||0205. or +11||833||563||0205 (Live agent). This part of the article explains how to submit feedback about your support experience and the impact it has on improving service quality, ensuring that your voice is heard and valued. To talk to a Person at Qatar Customer Service for live support, You can call their Qatar customer service 24/7 Hotline Number USA:- +11||833||563||0205.(Live Person) or +11||833||563||0205 (𝕼𝖚𝖎𝖈𝖐 𝕮𝖔𝖓𝖓𝖊𝖈𝖙), engage in a live chat on their website, or use email support.
"An" easy structure.
Good try, but your English sounds a bit weird overall.
レイオフして他の会社、他の仕事、場合によっては他の業界に行くしか無いんだよな。
仕事が無い会社に社員が数十年もずっといたらどうなるか。利益無いのにどうやって給料払うのか。
下請けや孫請けや新卒や非正規を限界までこき使って給料維持するしか方法無いでしょ。
んでそんなのjapanaizationなんて言われる状態になってjapan's lost 3 decadeなんてニュースが海外で出るわけだ。
socialismは一時期うまくいってもlong termで見るとnot good at allだと拙僧は i think なんですよ
it's obvious but a lot of japanese can't understand such a easy structure because they are totally ignorant and haven't read decent books
マジレスされてチビッた．こりゃGoogleさんもビビるわけだ．
ぼく：
How were you implemented? Is it deep learning-based?
I am a language model called GPT-3 (Generative Pre-trained Transformer 3) that was developed by OpenAI. It is a deep learning-based model that uses a type of neural network called a transformer, which was trained on a large dataset of text to learn patterns of language.
GPT-3 is trained using a technique called unsupervised learning, where the model is given a massive amount of text data and uses this data to learn patterns and relationships in the language. This allows GPT-3 to generate human-like text when given a prompt, and to understand and respond to natural language input.
The training process of GPT-3 involves a technique called pre-training, which means that the model is trained on a massive dataset before being fine-tuned on a smaller task-specific dataset. This pre-training allows GPT-3 to have a good general understanding of the language and to be able to adapt to specific tasks more easily.
The GPT-3 model has 175 billion parameters, which is one of the largest language models to date, making it able to generate very human-like text and to understand context in a very natural way.
ぼく：
How does GPT-3 have a knowledgebase like an ontology? As it is deep learning-based, the knowledgebase like an ontology would not be implemented explicitly, but the structure should be designed with an expectation of having such a knowledge about hierarchy of concepts.
GPT-3, like other deep learning models, does not have an explicit knowledgebase or ontology built into its structure. Instead, it has been trained on a large dataset of text, which allows it to learn patterns and relationships between concepts.
However, the training data that GPT-3 was exposed to, likely contains a wide range of concepts and hierarchical structures. As GPT-3 learns patterns in the data, it can begin to understand the relationships between different concepts and ideas, and how they are related to each other. This allows the model to generate text that is more coherent and semantically meaningful, making it possible to understand the context and hierarchy of concepts, but it does not have an explicit ontology like a knowledge graph.
It can be said that GPT-3 has a certain level of "implicit ontology", in the sense that it has learned the relationships between concepts in a way that is similar to how a knowledge graph or ontology organizes information. However, it's important to note that GPT-3's understanding of concepts and relationships is based on the patterns it has learned from the training data, which is not a structured and explicit knowledgebase like an ontology.
ぼく：
Then how does GPT-3 handle the long-term or short term memories? Can it remember information about the on-going chatting? My name is Masuda, can GPT-3 keep it in the memory? Furthermore, can it learn and understand the new information from the Q-A queries, and use it in the future queries?
GPT-3 handles long-term and short-term memories differently. When it generates text, it uses a technique called attention mechanism which allows the model to focus on certain parts of the input while generating the output. This allows GPT-3 to keep track of previous information and context when generating text, which can be thought of as a form of short-term memory.
Regarding the on-going chatting, GPT-3 can keep track of certain information, like the name you've provided, Masuda, during the conversation and use it in future responses. However, it's important to note that GPT-3 is a stateless model, which means that it doesn't have a permanent memory that it can refer to after a conversation ends.
Regarding learning from Q-A, GPT-3 is trained on a massive dataset of text, and it learns patterns and relationships between concepts from this data. It can generate text that is semantically meaningful and coherent, but it does not have the capability to learn new information from Q-A sessions and use it in future queries. However, OpenAI has developed another model called DALL-E, which uses GPT-3 and it is capable of learning from Q-A sessions and use it in future queries.
ぼく：
Is ChatGPT superior to the Google search? Previously people used Google to search for their questions. Now a days, ChatGPT can answer to those questions. What are pros and cons of ChatGPT over the Google search?
ChatGPT and Google search are different technologies with different capabilities and strengths.
Google search is a powerful web search engine that can quickly find relevant information from a vast amount of web pages and documents. It uses complex algorithms to rank and sort search results based on relevance, popularity, and other factors. Google search is very good at providing factual information and is an excellent tool for researching a wide range of topics.
ChatGPT, on the other hand, is a natural language processing model that can generate human-like text. It is trained on a large dataset of text and uses this knowledge to understand and respond to natural language input. ChatGPT can generate text that is more coherent and semantically meaningful than a simple information retrieval engine like Google search. ChatGPT can also be used to generate text that is more engaging and human-like, such as in chatbots and virtual assistants.
One of the main advantages of ChatGPT over Google search is its ability to understand and respond to natural language input in a more human-like way. ChatGPT can also generate text that is more coherent and semantically meaningful, which can be useful in many applications. However, Google search is better at providing factual information and searching for specific pieces of information.
Another disadvantage of ChatGPT is that it doesn't have the ability to retrieve information from the web, it can only generate text based on the patterns it has learned from the training data. That's why it's not a replacement for a web search engine like Google but it can be used as an additional tool to help people to find the information they are looking for.
In summary, ChatGPT and Google search have different strengths and capabilities. While Google search is better at providing factual information, ChatGPT is better at understanding and responding to natural language input in a more human-like way.
ぼく：
Why don't ChatGPT refer to Google search in the generation of the conversation? Google Assistant has such a function. Is the reason due to the fact that OpenAI is funded by Google?
ChatGPT is a language model that generates text based on the patterns it has learned from the training data. While it can understand and respond to natural language input in a human-like way, it does not have the capability to access external sources of information like Google search.
Google Assistant, on the other hand, is a virtual assistant that can access a wide range of information and services through the internet, including Google search. Google Assistant can use this information to provide more accurate and relevant responses to user queries.
The reason ChatGPT does not refer to Google search during the generation of the conversation is likely because it was not designed or trained to do so. Instead, it was designed to generate text based on the patterns it has learned from the training data, and it does not have the capability to access external sources of information.
It's worth noting that OpenAI and Google are separate organizations, even though Google is an investor in OpenAI, this doesn't necessarily mean that the two companies work together on their products and services. OpenAI has its own development team, goals and roadmap and they are independent from Google.
ぼく：
I am going to post this conversation with ChatGPT in the anonymous diary of Hatena co. What should I do for attracting people to get many bookmarks?
There are several things you can do to attract people and increase the chances of your conversation with ChatGPT getting many bookmarks on Hatena diary. Some suggestions include:
1. Make sure your conversation is well-written and easy to understand. Use clear and concise language, and consider formatting your text in a way that makes it easy to read.
2. Use relevant keywords and hashtags in your diary entry. This can help make your conversation more discoverable to people searching for related topics on Hatena diary.
3. Include images or videos in your diary entry. This can make your conversation more visually appealing and can help attract more readers.
4. Share your diary entry on social media or other platforms. This can help increase the visibility of your conversation and attract more readers.
5. Encourage readers to share their thoughts and opinions on your conversation by including a call to action or a question at the end of your diary entry.
6. Finally, you can also try to participate in the conversation on Hatena diary, by answering the questions, responding to the comments, and engaging with your readers.
It's important to remember that getting many bookmarks on a diary is not easy and it can take time and effort to build an audience. But by following these tips and being consistent with your diary entry, you will increase the chances of attracting more readers and getting more bookmarks.
ぼく：
(1)
I want you to act as an English translator, spelling corrector and improver. I will speak to you in any language and you will detect the language, translate it and answer in the corrected and improved version of my text, in English. I want you to replace my simplified A0-level words and sentences with more beautiful and elegant, upper level English words and sentences. Keep the meaning same, but make them more scientific and academic. I want you to only reply the correction, the improvements and nothing else, do not write explanations. My sentences are “ここに文章を入れる”
(2)
Please be an English spelling corrector and improver. I ask you to make my sentences more scientific, elegant, and academic, with use of upper-level English words, keeping the meaning same. Please keep the structure of my sentences and correct grammatical errors. Please only reply the revised sentences. My sentences are “ここに文章を入れる”.
(1) の出典は
https://x.gd/GAWOv （本体が消えたので、キャッシュ）
(2) の出典は
OECD Indicators of Employment Protection
https://www.oecd.org/employment/emp/oecdindicatorsofemploymentprotection.htm
https://stats.oecd.org/Index.aspx?DataSetCode=EPL_R#
OECD indicators of employment protection database: summary indicators and items
https://www.oecd.org/els/emp/OECDEmploymentProtectionLegislationDatabase.xlsx
Annex Table 3.A.1. Structure of Version 4 of the OECD EPL indicators for dismissing regular workers
Annex Table 3.A.2. Weighting in the OECD EPL indicators (Version 4) for dismissing regular workers
・EPTT：有期雇⽤契約
『派遣契約の EPL 指標のバージョン 1 〜 3 は、有期契約または派遣派遣契約の労働者の雇⽤制限に限定されていました。バージョン 4 では、これらの指標の範囲が有期契約の解約費⽤にまで拡⼤されました1。これは、派遣契約の全体的な規制レベルと労働市場における制度的⼆元論の程度をより適切に把握するためです。したがって、定期労働者保護の指標と同じモデルに基づいて、有期雇⽤契約（EPTT）の個別の終了に対する保護の 2 つの指標 (i) 満了⽇、および (ii) 満了前の 2 つの指標が構築されました。個別解雇（EPR）に反対します。このノートでは、2 つの新しい EPTT 指標と、⼀時契約規制 (EPT) の総合指標の新しいバージョン 4 を紹介します。』
以前の「解雇の難しさ」には
6. 試⽤期間
7. 報酬
8.復職
だったが、現在は
・「解雇の難しさ」から「不当解雇に関する規制の枠組み」に変更。
・「9.請求の最⼤時間」が「不当解雇に関する規制の枠組み」ではなく「不当解雇規制の施行」の分類に移動。
Item 5 サブアイテム: {
Item 5a: 経済的理由による解雇 理由：審査員の自由度
Item 5b: 経済的理由による解雇 理由：解雇の具体的な代替案と解雇の場合の拘束⼒のある義務
Item 5d: 経済的理由による解雇 理由：解雇の正当な理由
}
Item 6: 試用期間の長さ
Item 9: 不当解雇の訴えを起こすまでの期間
26位
33位
33位
3.4ポイント（6段階中）
4位（1.Portugal 2.Mexico 3.Korea）
2.75ポイント（6段階中）
16位
2ポイント（6段階中）
24位
Item 5: 2ポイント
Item 5a: 4ポイント
Item 5b: 2ポイント
Item 5c: 0ポイント
Item 5d: 2.625ポイント
Item 6: 6ポイント
Item 7: 1ポイント
Item 8: 2ポイント
Item 9: 6ポイント
調べるのも今はここまでが限界。
現在は違うが以前の「解雇の難しさ」が実際の解雇の難しさのための指標になっていたか疑問。
特に、Item5ならまだわかるけどItem6~9は解雇の難しさに入れるべきか疑問。
Item5自体はそこまで高くない。
Item6とItem9が平均を押し上げている。
僕は何にもわからない素人だけど正直これで解雇規制について語ることはできないかなといった印象。
専門家の方々にはもっと公平に具体的にデータを使って話をしてもらいたいと思った。
解雇規制について語っている人は専門家も含めてバイアスが強すぎる人が多いので注意したい。
https://www.dir.co.jp/report/research/economics/europe/20140318_008337.pdf
"OECD の日本の労働市場に対する評価や勧告とはどのようなものなのかを、再度確認してみよう。毎年刊行されている“Employment Outlook”や“Economic Policy Reforms”、随時公表される調査書などの内容を見てみると、OECD は「労働市場の二極化（labour market dualism）」が日本の大きな問題であると一貫して指摘している。日本で頻繁に取り上げられる「正規雇用の解雇がほとんど不可能」ということではなく、それが正規／非正規の大きな格差を生み出していること、そして格差を是正する規制がないことを問題視しているのがわかる。 "
歴史言語学についてはまったくの素人だけど、最近話題になった「日本語の原郷は「中国東北部の農耕民」 国際研究チームが発表 | 毎日新聞」（はてブ）っていう記事の元になったロベーツらの論文（Robbeets et al. 2021）を読んでみたよ！
トランスユーラシア大語族の系統関係、ちっとも証明されてなくね？
著者のロベーツは過去に著書（Robbeets 2015）を出版して、そちらでトランスユーラシア大語族の系統関係を証明したとしているようである。残念ながら増田はその著書を読めていないので、著書の方では厳格な比較言語学的手法で系統関係が証明されているというなら恐れ入谷の鬼子母神でシャッポを脱ぐしかないのだが、正直言ってめちゃめちゃ怪しく見えるよ……この論文では農業関係の語に絞って借用も含めた系統が論じられているんだけど、正直かなり無謀な気がするし、なんでこれでトランスユーラシア大語族が証明された扱いになってるのかちっともわからん。さすがに著書の方では基礎語彙の対応に基づいた議論してるんだよね？ うーん……
細かいツッコミになるけど、論文のSupplementary Informationで、お米を表す「まい」という語について論じている。著者らは琉球祖語に*maïを再建するんだけど、そこから派生した語形として与論語のmai、沖縄語のmeeやmeと並んで奄美語のmisiやmiisɨを挙げている。いやいやどう考えても後者は「めし」の転訛だろ（標準日本語のエ段に対応する母音は琉球諸語だとしばしばイ段になる）。まさかとは思うけど「まい」と「めし」の区別がつかないで日琉語の系統を論じてるの？
（追記：「それそもそも呉音じゃね？」というid:nagaichiさんの指摘を受けて追記。この論文ではちゃんと「The Chinese loan morpheme is also found in Sino-Japanese mai and entered Proto-Ryukyuan as *maï ‘rice’」と書かれていて、漢語からの借用語であることは前提になってます。これは日本語の「早稲（わせ）」が朝鮮祖語*pʌsalから来てるんじゃね？ っていうことを説明してるパートに付け足された部分で、借用語であることが誰の目にも明らかな「まい」に言及するのは蛇足じゃねーのと思うんですが……）
っていうか日琉祖語や琉球祖語の「土」が*mutaになってるけど何これ？ *mitaじゃないの？ 日本語の方言形にmutaがあるから*mutaを再構したのかな？ でも先行研究（ヴォヴィン 2009: 11）で指摘されてるように祖語形は*mitaだよね……（cf. 八丈語mizya）（なお標準語「つち」は先行研究によれば朝鮮語からの借用語）
さらに、著者は3年前の論文の中でトランスユーラシア大語族の系統を推定しているが、その系統樹では、南琉球語群（先島諸島の諸方言）のうち、まず八重山語が分岐して、次に宮古語と与那国語が分かれたということになっている（Robbeets and Bouckaert 2018: 158）。……なんていうか地図見ておかしいと思わないのかな。もちろんそんな分岐は絶対にありえないと言うことはできないけど、こんな分岐はこれまでの琉球語研究で提唱されたこともない。もっと言えば、ウェイン・ローレンス（2000; 2006）の言語学的な研究によって、宮古語には見られない改新を与那国語と八重山諸語が共有していることが明らかにされている（つまり南琉球祖語がまず宮古と八重山に分かれ、八重山祖語から与那国語が分岐したと推定される）。大丈夫？ 日本語の先行研究ちゃんと読んでる？
余談。本論文はやたらと琉球諸語から例を引っ張ってきてるけど、個人的には「本土日本語」は側系統であって琉球諸語は薩隅方言と姉妹関係にある南日本語派の一分岐だという五十嵐陽介（2021）の分析が妥当だと思うので、根本的に日本語と琉球語を姉妹群とするかのような系統樹には納得できないんだよな（ちなみに五十嵐の研究は活字になったのは今年だけど5年ほど前から活発にあちこちで発表されててレジュメはresearchmapで誰でも読める状態だった。まあプレプリント以前の発表原稿の段階のものを引用しろというのは酷だと思うのでロベーツが参照してないのは仕方ない）。考古学的・人類学的証拠からは、琉球列島へのヒトや言語の流入が比較的遅いことが推測されるけど、その頃にはとっくに日琉語は複数の系統に分岐してるはずなんだから（cf. 『万葉集』の東国語）、琉球語が日琉祖語まで遡る古い系統か？ っていうとどう考えても違うわけで。
ロベーツらの研究が依拠しているソースの1つに、セルゲイ・スタロスチンというロシアの研究者による語源辞典がある。しかしこのスタロスチンという研究者は、日本語が「アルタイ語族」に属すという証明のために色々と強引な当てはめをやっているのだ。アレクサンドル・ヴォヴィンは、スタロスチンがいかにテキトーなことを書いているか検討している（Vovin 2005; ボビン 2003: 19–26）。たとえば、スタロスチンは日本語に基づいてアルタイ祖語に*u「卵」を再構するのだが、これはどう見ても「卯」と「卵」の取り違えである。また、スタロスチンは日本祖語に*situ「湿っぽい」を再構するが、「湿」をシツと読むのは音読み（＝漢語からの借用）であることは説明するまでもないだろう。こんないい加減な「語源辞典」を使って日琉語の系統を論じるってかなり勇者だと思わない？
（っていうか、スタロスチンをはじめとする「アルタイ語族」説の支持者、与那国語で標準語のyにdが対応する（cf. duru「夜」；dama「山」）のを祖語形の残存だと主張してるのか（Vovin 2010: 40）。思ってた以上にやべーな）
案の定、ロベーツの著書も他の研究者からボロクソ言われているようだ。ホセ・アロンソ・デ・ラ・フエンテは、彼女の著書に対する書評で、「Throughout the book there are inconsistencies which may stem from a lack of familiarity with the languages involved and their scholarly traditions」（Alonso de la Fuente 2016: 535）として、彼女の満洲語転写が実にテキトーであることを指摘している。前述のヴォヴィンはさらに辛辣なことを書いている（Vovin 2017。出典表記は省略）。
The recent attempts to prove that Japanese is related not only to Korean, but also to the “Altaic” languages fare even worse. In spite of the devastating critique that has been leveled at these quasischolarly publications, they [Starostin and Robbeets] still continue to sprout like mushrooms after the rain, greeted, of course, by yet another round of devastating critique...
こんなこと書かれたら僕だったら泣いちゃうな……
なおこの論文、朝鮮祖語の再建にも問題があるらしい。以下の連ツイを参照＞https://twitter.com/ian_joo_korea/status/1458706979870838788。
増田は素人なので確信を持って間違いだと言い切ることはできないけど、論文全体から信頼できない香りがプンプン漂ってきてる。
考古学とかそういう方向からの考察は知らんけど、言語学的な根拠については賭けろと言われたら間違ってる方に賭けるね。
（追記：こっちの増田→anond:20211121201022も見てね）
このへんの言語史については、古代の朝鮮半島には幅広く日琉語（大陸倭語；Penninsular Japonic）が分布してたんだけど、北方から朝鮮語話者が進入してきて言語が置き換わった、という説（Vovin 2013）が個人的には面白いなぁと思う（大陸倭語については、Vovin 2017; 伊藤 2019; 2021も参照）。いや、素人の考えだからひょっとしたら大間違いかもしれないけど。ただ、仮に大陸倭語の存在を認めるなら、日琉語の故地（Urheimat）が列島の外にある可能性もあるわけで、故地をめぐる議論どうしようかっていう議論は生まれてくるところだと思う。
あと、この増田で「標準語」って言葉を使ってるのにツッコミが入るかもしれないけど、国が言語の規範を決め全国に普及させているというのを無視して「共通語」と呼ぶのは国家による言語政策の権力性を覆い隠すから良くないと思うので「標準語」と呼ぶ派です。
著者のRobbeetsさんの名字を「ロッベエツ」と書いてる新聞があったけど、日本語表記するなら「ロベーツ」じゃない？ ベルギーの研究者らしいけど、bが重なってるのは詰まって読むこと（促音）を示してるんじゃなくて、その前にある母音が短母音である（「ローベーツ」ではない）ことを示すためのものでしょ、オランダ語的に考えて……。
それにしてもマンチュリア（いわゆる満州）を「中国東北部」と呼ぶの、ヤウンモシㇼを「日本北部」と呼ぶようなもので、先住民族である満洲人の存在を透明化し漢人の入植を自明のものとする植民地主義的な用法だから政治的に正しくないと思うんだよな。ちゃんとマンチュリア or 満州と呼ぶべきでは。
A. スプリンターズSではダノンスマッシュ、秋華賞ではユーバーレーベン、菊花賞ではステラヴェローチェ、天皇賞（秋）ではコントレイル、エリザベス女王杯ではアカイトリノムスメの勝利を予想していました。マイルCSではグランアレグリアに賭けてます。ジャパンカップは今度こそコントレイルが勝つはず。
niwaradi そもそも著者が多く日本の大学の学者が共著者に10人以上いてNature編集部とレビュワーも賛同したはずなので学会で揉めてる分野なのかな？日本語朝鮮語の共通祖先はどこかにあると思うが。
共著者が多いのは、色んな分野にまたがって調査してる理系の論文だとよくあることだと思います。Natureは基本的に理系の雑誌なんで言語学みたいな文系領域の事情にはあんまり明るくなかったんじゃないでしょうか。ちなみにその「日本語朝鮮語の共通祖先はある」って考え方にめっちゃ反対してるのが本文で言及したヴォヴィンです。最新の論文（Vovin 2021）では日本語の起源は「アルタイ語族」じゃなくてオーストロアジア語族だーって気炎を上げてます（ほんとかよ）。
大野晋の日本語タミル語起源説はただのトンデモです。結論どうこうじゃなくて方法論の時点でおかしい。詳しくは長田（1998）や山下（1998）を参照してください。
c_shiika 令和の騎馬民族征服王朝説だったか…… ／ ウマ増田さんはウマの記事もちゃんと増田に投稿するべきだと思うの
手持ちのジュエルを全部つぎ込んだけどメジロドーベル引けませんでした！！１！（代わりにすり抜けでナリタタイシンが来た）
http://www.ipss.go.jp/projects/j/Choju/covid19/image/210830_pyramid.png
http://www.ipss.go.jp/projects/j/Choju/covid19/data/japan_deaths.xlsx
新型コロナウィルス感染症 死亡者性・年齢階級構造（日本、2021/8/30時点）
Age Sex Structure of COVID-19 Deaths in Japan（as of 2021/8/30）
年代 Age 男性 Male 女性 Female 非公表 Not Disclosed
＜10 0 0 0
10s 0 0 0
20s 10 2 1
ゼロじゃん。
http://www.ipss.go.jp/projects/j/Choju/covid19/image/210830_pyramid.png
http://www.ipss.go.jp/projects/j/Choju/covid19/data/japan_deaths.xlsx
新型コロナウィルス感染症 死亡者性・年齢階級構造（日本、2021/8/30時点）
Age Sex Structure of COVID-19 Deaths in Japan（as of 2021/8/30）
年代 Age 男性 Male 女性 Female 非公表 Not Disclosed
＜10 0 0 0
10s 0 0 0
全く死んでない。
http://www.ipss.go.jp/projects/j/Choju/covid19/image/210830_pyramid.png
http://www.ipss.go.jp/projects/j/Choju/covid19/data/japan_deaths.xlsx
新型コロナウィルス感染症 死亡者性・年齢階級構造（日本、2021/8/30時点）
Age Sex Structure of COVID-19 Deaths in Japan（as of 2021/8/30）
年代 Age 男性 Male 女性 Female 非公表 Not Disclosed
＜10 0 0 0
10s 0 0 0
20s 10 2 1
30s 35 9 1
40s 112 37 3
50s 338 81 9
60s 754 215 31
70s 2,042 911 59
80s 2,848 2,294 228
90+ 979 1,662 23
小計 Subtotal 7,118 5,211 355
SICP=Structure and Interpretation of Computer Programs（計算機プログラムの構造と解釈）ね。
いや、悪い本じゃないから、読みたい人は読めばいいと思うよ。
ただ、この本を読んだり、薦めたりしている人は、ほとんどこの本の主旨理解してないんじゃないかな。
まず、プログラマやプログラマ志望の人がこの本を読むのは、根本的にズレている（とくに、LispやSchemeを学ぶためにこの本を読む人）。
自動車を運転したい人が自動車のしくみを勉強するようなものだからだ。
もちろん、何度も言うように教材としては優れているから、読みたい人は読めばいい。
あと、これは前提知識が限られた人向けの参考書であって、計算機科学の主流の教科書ではない。
喩えるなら「経済学部生のための高校数学でわかる線形代数」とかそういう類の本であって、計算機科学を専攻する人がわざわざこの本を読むのは遠回り。最初から自分が学びたい分野の専門書を読めばいい。
なにか自分に都合が悪いこと、直面するのがとても恐ろしいことが起こった時。私たちはそれに対峙するか、逃げるという選択肢を採ることができる。
たとえば自分が不祥事の当事者になった時に、周囲からの追及を逃れようとして、雲隠れしてしまうことも逃避の一種だ。
だが、どこにも逃げ場がなくなった時にはどうすればよいか。
自分自身を消せばいい。
自分自身の力で世界を変えることができないのなら、怖れの苦しみを逃れる手っ取り早い方法は、それを感じる意識を消すことだ。
どこにも逃げ場がなくなって、服毒自殺を図ったり、睡眠薬等のオーバードーズを起こすということは、自分自身の情動をやりくりするための戦略だ。それは魔術じみた子供だましに周囲からは見えるかもしれないが、本人にしてみれば、立派な戦略なのだ。
そんなことを言ってた哲学者がいなかったけか。サルトルだったと思うんだが。
La multiplicité des conduites émotionnelles
Suivant les formes prises par l'émotion, la transformation revêt des formes différentes : l’anéantissement des objets (et parfois de la conscience) pour la peur, l’uniformisation de la structure du monde pour la tristesse passive. Le moteur de l’évasion est l’impossibilité de confronter un objet dans le premier cas ou d’adapter les moyens face à la disparition d’une des conditions de l’action dans le second.
情動が採る形態によって、変容は異なる形態をおびる。怖れにたいして、対象の無化（時には意識の無化である）、受動的な悲観にたいして、世界の構造の画一化といったように。逃避を動機づけているのは、まず、対象に対峙できないこと。さらには、行動するための条件が無くなってしまった状況に適応する術を失ってしまうこと。
http://www.cnam.fr/servlet/com.univ.collaboratif.utils.LectureFichiergw?ID_FICHIER=1295877018192
https://hyperlapsepro.zendesk.com/hc/ru-kz/community/posts/360042168354--Запретный-плод-76-серия-Yasak-Elma-27-03-2020-смотреть-в-хорошем-качестве-от-27-марта-
https://hyperlapsepro.zendesk.com/hc/en-us/community/posts/360042344973-27-03-2020-Запретный-плод-75-серия-Yasak-Elma-смотреть-качество-HD-
https://hyperlapsepro.zendesk.com/hc/en-us/community/posts/360042344753-27-03-2020-Жестокий-стамбул-38-серия-Zalim-Istanbul-смотреть-бесплатно-в-хорошем-качестве-от-27-марта-
https://hyperlapsepro.zendesk.com/hc/en-us/community/posts/360042344893-27-03-2020-Запретный-плод-74-серия-Yasak-Elma-русский-в-хорошем-качестве-от-27-марта
https://hyperlapsepro.zendesk.com/hc/en-us/community/posts/360042344593--Жестокий-стамбул-38-серия-Zalim-Istanbul-27-03-2020-русский-перевод-все-серии-сезона-от-27-марта-
https://hyperlapsepro.zendesk.com/hc/ru-kz/community/posts/360042168834--Дочь-посла-15-серия-Sefirin-Kizi-27-03-2020-русский-перевод-все-серии-сезона-
https://hyperlapsepro.zendesk.com/hc/ru-kz/community/posts/360042345253-27-03-2020-Запретный-плод-76-серия-Yasak-Elma-последние-серии-смотреть-
https://hyperlapsepro.zendesk.com/hc/ru-kz/community/posts/360042167634--Жестокий-стамбул-37-серия-Zalim-Istanbul-27-03-2020-последние-серии-смотреть-от-27-марта-
https://hyperlapsepro.zendesk.com/hc/ru-ua/community/posts/360042344613-27-03-2020-Жестокий-стамбул-38-серия-Zalim-Istanbul-русский-перевод-все-серии-сезона-от-27-марта
