Onward - はてな匿名ダイアリー

Please consider the histroy of human ity 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

Reas oned 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 candid ate.

Identifying potential candid ates

I'm considering exoplanets like Proxima Centauri b and TRAPPIS T-1e, which might suggest they are within or observed from our Solar System.

Assessing potential candid ates

I’m evaluating Proxima Centauri b, Barnard's Star, LHS 1140, and TRAPPIS T-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 TRAPPIS T-1, which have Earth-like characteristics and are in habitable zones. This narrows down the potential candid ates for advanced civilizations.

Assessing habitable zones

I'm gathering info on planets like Proxima Centauri b and TRAPPIS T-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 TRAPPIS T-1 e, using speculative percentages based on the Drake equation and the lack of evidence for intelligent life.

Charting speculative odds

I'm crafting a chart with exoplanet names and civilization likelihood percentages, grounded in the long timeline of life's evolution, despite the speculative nature of these figures.

Identifying exoplanet contenders

I’m evaluating exoplanets like Proxima Centauri b, TRAPPIS T-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. TRAPPIS T-1 e, f, or g are also worth considering.

Revis iting exoplanet options

I'm focusing on exoplanets like Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIS T-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 TRAPPIS T-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 TRAPPIS T-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 TRAPPIS T-1 e.

Clarifying speculative nature

I’m crafting a simplified chart with arbitrary percentages, clearly noting the speculative nature and lack of scientific data, while considering the target audience's basic understanding of the topic.

Mapping out speculative odds

I’m charting arbitrary percentages for exoplanets, clarifying their speculative nature, and ensuring the data is accessible for young audiences with minimal scientific detail.

Crafting a chart

I’m creating a markdown table with speculative percentages for the likelihood of civilized life on exoplanets, emphasizing their purely theoretical nature and considering the understanding level of an 8-year-old.

Integrating speculative analysis

I’m mapping out a markdown chart with speculative percentages for the likelihood of a civilized society on exoplanets, mindful of the complex ity and simplifying for an 8-year-old's understanding.

Assessing likelihoods

I’m piecing together markdown for exoplanets, noting Proxima Centauri b's reduced civilized life chance due to the red dwarf's activity. This inclusion highlights the speculative nature of the analysis.

Piecing together speculative odds

I’m detailing a markdown chart for audience-friendly exoplanet likelihoods, considering environmental challenges and a dding 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 candid ate exoplanets. Remember: Scientists have not yet found any proof of life (let al one 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%

TRAPPIS T-1 e ~1.5%

TRAPPIS T-1 f ~1%

TRAPPIS T-1 g ~1%

LHS 1140 b ~0.5%

How Did We (Very Roughly) Guess These Numbers?

Earth’s Example:

On Earth, life began as simple single‑celled organisms and took billions of years to evolve into a species that built complex societies. This long journey suggests that—even if a planet is in the “habitable zone” (where liquid water could exist)—developing an advanced, civilized society might be rare.

Nearby Exoplanets:

Proxima Centauri b:

This is the closest exoplanet to us. Even though its star (Proxima Centauri) is a red dwarf that sometimes sends out strong flares (which might harm life), its closeness makes it one of our most interesting candid ates. That’s why we give it a slightly higher guess (~2%).

TRAPPIS T-1 System (e, f, g):

These planets are part of a group orbiting a very cool star. Their environments might be challenging (for example, they could be tidally locked, meaning one side always faces the star), so the chance of a complex, advanced civilization might be a bit lower.

LHS 1140 b:

This planet is promising in some ways but is a little farther away and around a dimmer star, so our playful estimate is even lower.

A Final Note

All of these percentages are extremely rough guesses based on what little we understand about the conditions for life and intelligence. Scientists use ideas like the Drake Equation to think about these chances—but until we have concrete evidence, these numbers remain just for fun and imagination.

Enjoy exploring these ideas—and remember, space is full of mysteries waiting to be discovered!

あなた:

Please examine the Drake Equation itself and see if this euqation is acculate or more opition in the equation you will use

ChatGPT

Reas oned about the Drake Equationを6 秒行う

re-examining the Drake Equation

evaluating the Drake Equation's value

Clarifying the Drake Equation

OK, let me see. The Drake Equation isn't a precise formula; it's more of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrial civilizations.

Assessing the Drake Equation

Thinking through the Drake Equation, I’m evaluating its conceptual nature, its uncertain parameters, and its crit ic ism to conclude on its reliability as an accurate pred ictive 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 pred icting 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, pred ictive formula. Let’s break down why:

The Drake Equation

The equation is usually written as:

𝑁

=

𝑅

∗

×

𝑓

𝑝

×

𝑛

𝑒

×

𝑓

𝑙

×

𝑓

𝑖

×

𝑓

𝑐

×

𝐿

N=R

∗

×f

p

×n

e

×f

l

×f

i

×f

c

×L

Where:

𝑅

∗

R

∗

: The average rate of star formation per year in our galaxy.

𝑓

𝑝

f

p

: The fraction of those stars that have planetary systems.

𝑛

𝑒

n

e

: The average number of planets that could potentially support life per star with planets.

𝑓

𝑙

f

l

: The fraction of those planets where life actually develops.

𝑓

𝑖

f

i

: The fraction of planets with life where intelligent life evolves.

𝑓

𝑐

f

c

: The fraction of civilizations that develop technology that releases detectable signals into space.

𝐿

L: The length of time such civilizations release detectable signals.

Why the Drake Equation Is More of a Guideline Than a Precise Formula

Uncertain Inputs:

Well-Known Parameters:

Some factors, like

𝑅

∗

R

∗

(star formation rate) and

𝑓

𝑝

f

p

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

Highly Speculative Factors:

The parameters related to the development of life and intelligence—

𝑓

𝑙

f

l

,

𝑓

𝑖

f

i

,

𝑓

𝑐

f

c

, and

𝐿

L—are based on very limited data. For example, Earth is the only planet we know where life has developed, so we have no way to compare or derive a stat istic ally robust estimate for these factors. This means that the values chosen for these parameters are largely subjective estimates or educated guesses.

Wide Ranges of Possible Values:

Because many of these factors are not well-constrained, if you change one of the more uncertain parameters even slightly, the final estimate for

𝑁

N (the number of civilizations) can vary by many orders of magnitude. This wide range shows that the equation can lead to very different outcomes based on personal or theoretical assumptions.

Heuristic, Not Pred ictive:

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 mathemat ical model with well-defined inputs and pred ic table outputs, the Drake Equation is not accurate. Its accuracy is limited by the extreme uncertainties in several of its key parameters.

Opinion-Based?

Many of the terms in the equation, especia lly those concerning the evolution of life and intelligence, are based on opinion, interpretation, and the single example of Earth. Therefore, while the structure of the equation is logical, the numbers you put into it (and hence the final result) are often more reflective of our current opinions and assumptions than of robust empirical data.

Conclusion

The Drake Equation is a valuable tool for framing the question of extraterrestrial life. It helps scientists and enthusiasts break down a complex problem into smaller, more manageable questions. However, because several of its factors are highly uncertain and subject to personal interpretation, it is more of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate pred iction 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

Reas oned about non-human intelligence and the Drake Equationを19 秒行う

Evaluating non-human intelligence

I'm thinking about the potential for non-human intelligent life forms in the Sol system and neighboring planets, and how this might factor into the equation.

Piecing together possibilities

I'm thinking about how to integrate the emergence of non-human intelligent life, possibly on Mars or Europa, into the Drake Equation for the Sol system and neighboring planets.

Reflecting on potential

It's interesting to think about the hypothesis of intelligent life emerging on Mars or Venus, though Earth remains the only known life-supporting planet in the solar system.

Considering other realms

I'm examining if intelligent life could have emerged on planets like Mars, Venus, or Europa, and how this possibility aligns with the pred ictions of the Drake Equation.

Analyzing parallel evolution

Hmm, I’m thinking about how non-human intelligent life on Mars or Venus could intersect with the assumptions of the Drake Equation, which seems to focus solely on Earth-based evolution.

Evaluating life exploration

I’m piecing together the hypothesis of non-human, advanced, intelligent life in the solar system. Mars, Venus, and Titan present challenges, but Europa and Enceladus might harbor microbial life.

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

■Chatgptが答えた異星人の存在 可能性とのそのロジック

Please consider the histroy of human ity 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

Reas oned 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 candid ate.

Identifying potential candid ates

I'm considering exoplanets like Proxima Centauri b and TRAPPIS T-1e, which might suggest they are within or observed from our Solar System.

Assessing potential candid ates

I’m evaluating Proxima Centauri b, Barnard's Star, LHS 1140, and TRAPPIS T-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 TRAPPIS T-1, which have Earth-like characteristics and are in habitable zones. This narrows down the potential candid ates for advanced civilizations.

Assessing habitable zones

I'm gathering info on planets like Proxima Centauri b and TRAPPIS T-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 TRAPPIS T-1 e, using speculative percentages based on the Drake equation and the lack of evidence for intelligent life.

Charting speculative odds

I'm crafting a chart with exoplanet names and civilization likelihood percentages, grounded in the long timeline of life's evolution, despite the speculative nature of these figures.

Identifying exoplanet contenders

I’m evaluating exoplanets like Proxima Centauri b, TRAPPIS T-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. TRAPPIS T-1 e, f, or g are also worth considering.

Revis iting exoplanet options

I'm focusing on exoplanets like Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIS T-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 TRAPPIS T-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 TRAPPIS T-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 TRAPPIS T-1 e.

Clarifying speculative nature

I’m crafting a simplified chart with arbitrary percentages, clearly noting the speculative nature and lack of scientific data, while considering the target audience's basic understanding of the topic.

Mapping out speculative odds

I’m charting arbitrary percentages for exoplanets, clarifying their speculative nature, and ensuring the data is accessible for young audiences with minimal scientific detail.

Crafting a chart

I’m creating a markdown table with speculative percentages for the likelihood of civilized life on exoplanets, emphasizing their purely theoretical nature and considering the understanding level of an 8-year-old.

Integrating speculative analysis

I’m mapping out a markdown chart with speculative percentages for the likelihood of a civilized society on exoplanets, mindful of the complex ity and simplifying for an 8-year-old's understanding.

Assessing likelihoods

I’m piecing together markdown for exoplanets, noting Proxima Centauri b's reduced civilized life chance due to the red dwarf's activity. This inclusion highlights the speculative nature of the analysis.

Piecing together speculative odds

I’m detailing a markdown chart for audience-friendly exoplanet likelihoods, considering environmental challenges and a dding 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 candid ate exoplanets. Remember: Scientists have not yet found any proof of life (let al one 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%

TRAPPIS T-1 e ~1.5%

TRAPPIS T-1 f ~1%

TRAPPIS T-1 g ~1%

LHS 1140 b ~0.5%

How Did We (Very Roughly) Guess These Numbers?

Earth’s Example:

On Earth, life began as simple single‑celled organisms and took billions of years to evolve into a species that built complex societies. This long journey suggests that—even if a planet is in the “habitable zone” (where liquid water could exist)—developing an advanced, civilized society might be rare.

Nearby Exoplanets:

Proxima Centauri b:

This is the closest exoplanet to us. Even though its star (Proxima Centauri) is a red dwarf that sometimes sends out strong flares (which might harm life), its closeness makes it one of our most interesting candid ates. That’s why we give it a slightly higher guess (~2%).

TRAPPIS T-1 System (e, f, g):

These planets are part of a group orbiting a very cool star. Their environments might be challenging (for example, they could be tidally locked, meaning one side always faces the star), so the chance of a complex, advanced civilization might be a bit lower.

LHS 1140 b:

This planet is promising in some ways but is a little farther away and around a dimmer star, so our playful estimate is even lower.

A Final Note

All of these percentages are extremely rough guesses based on what little we understand about the conditions for life and intelligence. Scientists use ideas like the Drake Equation to think about these chances—but until we have concrete evidence, these numbers remain just for fun and imagination.

Enjoy exploring these ideas—and remember, space is full of mysteries waiting to be discovered!

あなた:

Please examine the Drake Equation itself and see if this euqation is acculate or more opition in the equation you will use

ChatGPT

Reas oned about the Drake Equationを6 秒行う

re-examining the Drake Equation

evaluating the Drake Equation's value

Clarifying the Drake Equation

OK, let me see. The Drake Equation isn't a precise formula; it's more of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrial civilizations.

Assessing the Drake Equation

Thinking through the Drake Equation, I’m evaluating its conceptual nature, its uncertain parameters, and its crit ic ism to conclude on its reliability as an accurate pred ictive 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 pred icting 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, pred ictive formula. Let’s break down why:

The Drake Equation

The equation is usually written as:

𝑁

=

𝑅

∗

×

𝑓

𝑝

×

𝑛

𝑒

×

𝑓

𝑙

×

𝑓

𝑖

×

𝑓

𝑐

×

𝐿

N=R

∗

×f

p

×n

e

×f

l

×f

i

×f

c

×L

Where:

𝑅

∗

R

∗

: The average rate of star formation per year in our galaxy.

𝑓

𝑝

f

p

: The fraction of those stars that have planetary systems.

𝑛

𝑒

n

e

: The average number of planets that could potentially support life per star with planets.

𝑓

𝑙

f

l

: The fraction of those planets where life actually develops.

𝑓

𝑖

f

i

: The fraction of planets with life where intelligent life evolves.

𝑓

𝑐

f

c

: The fraction of civilizations that develop technology that releases detectable signals into space.

𝐿

L: The length of time such civilizations release detectable signals.

Why the Drake Equation Is More of a Guideline Than a Precise Formula

Uncertain Inputs:

Well-Known Parameters:

Some factors, like

𝑅

∗

R

∗

(star formation rate) and

𝑓

𝑝

f

p

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

Highly Speculative Factors:

The parameters related to the development of life and intelligence—

𝑓

𝑙

f

l

,

𝑓

𝑖

f

i

,

𝑓

𝑐

f

c

, and

𝐿

L—are based on very limited data. For example, Earth is the only planet we know where life has developed, so we have no way to compare or derive a stat istic ally robust estimate for these factors. This means that the values chosen for these parameters are largely subjective estimates or educated guesses.

Wide Ranges of Possible Values:

Because many of these factors are not well-constrained, if you change one of the more uncertain parameters even slightly, the final estimate for

𝑁

N (the number of civilizations) can vary by many orders of magnitude. This wide range shows that the equation can lead to very different outcomes based on personal or theoretical assumptions.

Heuristic, Not Pred ictive:

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 mathemat ical model with well-defined inputs and pred ic table outputs, the Drake Equation is not accurate. Its accuracy is limited by the extreme uncertainties in several of its key parameters.

Opinion-Based?

Many of the terms in the equation, especia lly those concerning the evolution of life and intelligence, are based on opinion, interpretation, and the single example of Earth. Therefore, while the structure of the equation is logical, the numbers you put into it (and hence the final result) are often more reflective of our current opinions and assumptions than of robust empirical data.

Conclusion

The Drake Equation is a valuable tool for framing the question of extraterrestrial life. It helps scientists and enthusiasts break down a complex problem into smaller, more manageable questions. However, because several of its factors are highly uncertain and subject to personal interpretation, it is more of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate pred iction 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

Reas oned about non-human intelligence and the Drake Equationを19 秒行う

Evaluating non-human intelligence

I'm thinking about the potential for non-human intelligent life forms in the Sol system and neighboring planets, and how this might factor into the equation.

Piecing together possibilities

I'm thinking about how to integrate the emergence of non-human intelligent life, possibly on Mars or Europa, into the Drake Equation for the Sol system and neighboring planets.

Reflecting on potential

It's interesting to think about the hypothesis of intelligent life emerging on Mars or Venus, though Earth remains the only known life-supporting planet in the solar system.

Considering other realms

I'm examining if intelligent life could have emerged on planets like Mars, Venus, or Europa, and how this possibility aligns with the pred ictions of the Drake Equation.

Analyzing parallel evolution

Hmm, I’m thinking about how non-human intelligent life on Mars or Venus could intersect with the assumptions of the Drake Equation, which seems to focus solely on Earth-based evolution.

Evaluating life exploration

I’m piecing together the hypothesis of non-human, advanced, intelligent life in the solar system. Mars, Venus, and Titan present challenges, but Europa and Enceladus might harbor microbial life.

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

2024-03-03

■Bingを英語で使うと頭がおかしい

ワイ: Is this the bad place?

Bing: Yes, this is the **Bad Place**. The air smells like **rotten eggs**, and the Wi-Fi is **terrible**. But don't worry, we'll find a way out of here! 😅

ワイ: What sin have I violated?

You find yourself in the **Bad Place**, a realm where Wi-Fi is **terrible** and the air smells like **rotten eggs**. Fear not, for I shall unravel the mystery of your transgressions. 🌋
Your sin? Ah, it's a peculiar one. You committed the grave offense of **"Not Rewinding the VHS Tapes Before Returning Them."** Yes, that's right! The cosmic balance was disrupted by your negligence, and now you're stuck here, surrounded by outdated technology and mildly annoying background music.
But fret not, dear soul! Redemption awaits. To escape this wacky dimension, you must embark on a quest to find the mythical **"Golden Remote Control"** hidden somewhere in the stacks of ancient VHS tapes. Only then can you break free from this pixelated purgatory.
So, onward, brave wanderer! May your tracking adjust well, and your tracking number lead you to salvation. 📼✨

Permalink | 記事への反応(0) | 13:19

2021-05-22

■[映画]2分の1の魔法 ONWARD を Disney+ で見た時のタイトル回収シーンって

信じられないほど分かりにくかったよね、という話。

〜ここからはネタバレ含みます〜

イアンの運転で今すぐに逃げなければいけないという状況でバーリーが指示を出すシーン。

▼映画館 字幕で視聴

車のメーターのところに手書きしたOのシールが貼られており、「ONWARD＜前進＞のOだ！」という字幕が出た。

そうすると見ている人は「ONWARDという単語は日本語では前進という意味なんだ」と知ることができる。

その時点でタイトルを回収したことにより嬉しくなったが、映画を見終わった時に

・車が前進したこと

・イアンが人として成長できて前進したこと

・2人の""お父さん観""が変わって前進したこと

などなど、見る人によっても色々な前進がかかっていてタイトルがONWARD である意味を実感して感動した。

▼Disney+ 吹き替えで視聴

映画館で字幕で見た際の映像とは異なり、シールが「↑」のマークになっている。

その矢印がアップで映ったときに「前進だ！」というセリフが充てられている。

矢印マークを見て前進という意味だ、ともわかりにくいし、

そこで「前進＝ONWARD、なるほど！タイトル回収〜！」とはならない。

▼Disney+ 字幕で視聴

日本版Disney+上で字幕に切り替えても映像は「↑」のマークになっている。

字幕は「"前進"の"O"に」と表示されている。

映像の中にOもないし、前進のOと表示されたところでONWARDのOって意味かー、ともならない。

日本語版のタイトルは「2分の1の魔法」なので、漢字で前進と書かれてもタイトル回収にも関係がない。

今までDisney＋で「雰囲気を壊すような、映像の中に配置されてる英語を勝手にダサいフォントで日本語にするのはどうかと思う」と散々言われてた。

物語に大きく関係しなかったので「そこまで文句言わなくても...」とは思っていたが、

今回は物語の真骨頂に関係のある内容なので個人的に少し残念だった。

でもこの作品が大好きなので、日本版Disney+に登場してくれてありがとう。

何度も繰り返し見て楽しみます！

Permalink | 記事への反応(0) | 22:24

2020-08-03

■コロナ 感染者カレンダー３Dプロット

４月１３日の週から、今週まで東京都のデータ入れて、matplotlibで３D化してみた。

今週の明日以降のデータは先週値からプラス 10で入れてます。

これだと減ってる様子は見て取れないけど、東洋経済のサイトのグラフだと実行再生算数１切ってるんだよね。

感覚とは合わないけど、ここから下がる予定。不思議なもんだ。

下記のコードは好きに使ってくださいな。

GoogleのCode Labとかならすぐに遊べます。

---

from mpl_toolkits.mplot3d import Axes3D

import matplotlib.pyplot as plt

import numpy as np

x = np.array([-1, -2, -3, -4, -5, -6, -7]) # from Mon to Sun

y = np.array([1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17]) # From Apr13 to onward

X, Y = np.meshgrid(x, y)

# Number Data of New Infection Patient

Z = np.array([[ 98,161,127,150,204,185,107], # Apr13

[100,123,125,134,166,107,76], # Apr20

[40,112, 47, 46, 164,159, 90], # Apr27

[87, 57, 37, 23, 39, 36, 22], # May4

[15, 28, 10, 30, 9, 14, 5], # May11

[ 10, 5, 5, 11, 3, 2, 14], # May18

[ 8, 10, 11, 15, 22, 14, 5], # May25

[ 13, 34, 12, 28, 20, 26, 14], # Jul1

[ 13, 12, 18, 22, 25, 24, 47], # Jul8

[ 48, 27, 16, 41, 35, 39, 35], # Jul15

[ 29, 31, 55, 48, 54, 57, 60], # Jul22

[ 58, 54, 67,107,124,130,111], # Jul29

[102,106, 75,224,243,206,206], # Jul6

[119,143,165,286,293,290,188], # Jul13

[168,237,238,366,260,295,239], # Jul20

[131,266,250,367,463,472,292], # Jul27

[282,276,260,377,473,482,302]]) # Aug3 : encliding expectations = prev week number + 10

fig = plt.figure(figsize=(10,8))

ax = Axes3D(fig)

ax.set_xlabel('Day', fontsize=16)

ax.set_ylabel('Week', fontsize=16)

# OUR ONE LINER ADDED HERE:

ax.get_proj = lambda: np.dot(Axes3D.get_proj(ax), np.diag([0.8, 1.2, 1, 1]))

ax.plot_wireframe(X, Y, Z)

ax.plot_surface(X, Y, Z, cmap=plt.cm.jet, rstride=1, cstride=1, linewidth=0)

plt.show()

Permalink | 記事への反応(0) | 16:42

2020-07-19

■[増田統計]2020年 7月18日 土曜日の増田

時間	記事数	文字数	文字数平均	文字数中央値
00	66	19254	291.7	75
01	64	13356	208.7	57.5
02	22	2078	94.5	44
03	49	7913	161.5	27
04	70	8076	115.4	68.5
05	35	4003	114.4	50
06	24	4486	186.9	116.5
07	96	9898	103.1	45.5
08	133	9582	72.0	38
09	94	13490	143.5	43
10	107	12589	117.7	35
11	109	16776	153.9	49
12	133	11462	86.2	43
13	143	13764	96.3	51
14	136	19941	146.6	35
15	157	21266	135.5	36
16	202	21209	105.0	51
17	152	26676	175.5	48
18	179	28690	160.3	46
19	136	17741	130.4	47.5
20	115	14607	127.0	44
21	143	27721	193.9	38
22	139	20023	144.1	47
23	128	30745	240.2	63
1日	2632	375346	142.6	45

本日の急増単語 ()内の数字は単語が含まれる記事数

kazeo(12), ongakunohi(9), pelisplus(12), 春馬(9), parasitos(8), 三浦春馬(40), noe(6), gaspar(6), onward(5), imdif(4), 三浦九段(5), 棋界(4), Go(15), ユニクロ(26), 俳優(32), en(16), ガード(16), 都民(21), 💩(38), キャンペーン(32), 👁(13), サル(7), 賃貸(12), 将棋(13), 東京都(14), 不動産(12), 自殺(73), 亡くなっ(20), -2(20), 旅行(33), 芸能人(26), お気持ち(36), マンション(16), ポリコレ(20), 地方(36), 死(39)

頻出トラックバック先 ()内の数字は被トラックバック 件数

■35歳後半。服はどこで買えばいいですか？　 /20 200718001405(27), ■幼馴染み一家が結婚星人になっていた追記有り /20 200718012036(19), ■ちきりんも残念な人になったな /20 200718000431(17), ■都民って他県民差別してる？ /20 200717152440(16), ■渡辺明の孤独な闘い /20 200718001048(15), ■才能のある人間が羨ましいという話 /20 200718070640(14), ■炊飯の労力を最大限省略したい /20 200717213538(14), ■リベラル派のオタクの居場所がなくなってきている。 /20 200717 234540(11), ■ブクマカ「ブコメを非公開にするのは卑怯」 /20 2007180910 23(10), ■ハンドメイドは所詮はコミュ力なんだ /20 200713212404(9), ■増田のやべーやつ番付（20 20年7月場所）幕内 /20 200718145803(9), ■ゲーム作りの相談 /20 200718032205(8), ■中途採用の面接で「恋人はいますか？」と質問された話 /20 200717 232217(7), ■32歳腐女子の友人側と語る30歳腐女子を眺める同年代腐女子の感想 /20 200718115124(7), ■35歳後半。とんかつはどこで買えばいいですの？　 /20 200718153545(7), ■正義の剣を振りかざすの楽しいですか？ /20 200717 20 33 33(7), ■ちきりんの GoToキャンペーン論 /20 200718171639(6), ■巣ごもりから子づくりを連想してしまう /20 200718132649(6), ■スクワットしようとすると /20 200718220720(6), ■俳句をやってみたい /20 200717192100(6), ■ /20 200718072245(6), ■手取り14万って人間の生活できないだろ /20 200717184033(6)

Permalink | 記事への反応(0) | 00:04

2019-11-03

■VRで最強のゲームを見つけたい

oculus lift Sを買った。自分は軽度のDNC、つまりダイブ不適合者(ノンコンフォーミング)のようで、眩暈と吐き気に耐えながら頑張っているわけだ。

ある程度吐気等には慣れてきて、最近はそれなりの時間ダイブできるようになった。

それで色々なゲームを試してみようという気になったんだ。

この世の中には五行思想というものがある。木・火・土・金・水で自然界は説明できるというものだ。正直この世の中のモノを全て5つで説明するのは無理があるんだけど、大体の事は説明できる。

VRも同じように、全てについてもれなく紹介するのは難しいけど、大体の王道ジャンルを5つ出してみようと思う。

VR5要素、すなわち

「レーシング」-フライト、乗り物、ラン

フライトシミュレーター、カーレーシング等の乗り物に乗ったり、移動をゲーム性にしたもの。

「格闘」-格闘、剣

ボクシングや、剣で戦うようなもの。

「FPS」-銃・弓

「景観」-探検・眺める

「創造」-3D クラフト

があると思う。

と言ってもまだONWARDとかやってる最中。フライトシミュレーターは特に吐く。

Permalink | 記事への反応(0) | 12:37

「Onward」を含む日記

Chapter 1 要約: 持続可能性の概要 (Overview of Sustainment)

1-1. 持続可能性の役割

1-2. 陸軍作戦と持続可能性

1-3. 持続可能性の原則

1-4. 持続可能性の主要要素

Chapter 1 の結論

ADP 4-0 Chapter 2 要約: 持続可能性の要素 (Elements of Sustainment)

2-1. 兵站 (Logistics)

1) 補給 (Supply)

2) 配送 (Distribution)

3) 輸送 (Transportation)

4) 保守・整備 (Maintenance)

5) インフラ支援 (General Engineering Support)

6) 受け入れ・配置・後送 (Reception, Staging, Onward Movement, and Integration: RSOI)

2-2. 人的サービス (Personnel Services)

1) 人事管理 (Human Resources Support)

2) 財務管理 (Financial Management)

3) 宗教支援 (Religious Support)

4) リーガルサポート (Legal Support)

5) 兵士・家族支援プログラム (Morale, Welfare, and Recreation - MWR)

2-3. 医療サービス支援 (Health Service Support)

1) 医療補給 (Medical Logistics)

2) 患者処置 (Medical Treatment)

3) 医療輸送 (Medical Evacuation)

Chapter 2 の結論

ADP 4-0 Chapter 3 要約: 持続可能性の作戦 (Sustainment Operations)

3-1. 持続可能性の作戦レベル

1) 戦略レベル (Strategic Level)

2) 作戦レベル (Operational Level)

3) 戦術レベル (Tactical Level)

3-2. 戦域持続可能性システム (Theater Sustainment System)

1) 持続可能性コマンド・組織

2) 主要な兵站拠点

3) 輸送ネットワーク

3-3. 多領域作戦 (Multi-Domain Operations, MDO) における持続可能性

1) 持続可能性の挑戦

2) 持続可能性の適応

3-4. 持続可能性作戦の計画と統制

1) 計画の要素

2) 指揮統制 (C2: Command and Control)

Chapter 3 の結論

■Chatgptが答えた異星人の存在可能性とのそのロジック

■Chatgptが答えた異星人の存在可能性とのそのロジック

■Bingを英語で使うと頭がおかしい

■[映画]2分の1の魔法 ONWARD を Disney+ で見た時のタイトル回収シーンって

▼映画館 字幕で視聴

▼Disney+ 吹き替えで視聴

▼Disney+ 字幕で視聴

■コロナ感染者カレンダー３Dプロット

■[増田統計]2020年7月18日土曜日の増田

本日の急増単語 ()内の数字は単語が含まれる記事数

頻出トラックバック先 ()内の数字は被トラックバック件数

■VRで最強のゲームを見つけたい

▼映画館字幕で視聴

■[増田統計]2020年 7月18日土曜日の増田