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First dates can be exciting and nerve-wracking all at once. You’re meeting someone new, learning about their interests, and trying to figure out if there’s chemistry between you. And then there’s flirting, that delicate dance of showing someone you’re interested without being too forward or awkward.
Flirting doesn’t have to be a high-pressure situation. In fact, it can be the most fun part of getting to know someone. Whether you're meeting someone on MixerDates or any other platform, the most important thing is to be genuine, stay calm, and let the connection develop naturally.
If you’ve ever found yourself wondering how to flirt on a first date without feeling uncomfortable, you’re not alone. Everyone has their awkward moments, but the more you understand the art of flirting, the easier it becomes. In this article, we’ll break down how to flirt in a way that feels natural, exciting, and authentic to who you are. So, let's dive in and learn how to make the most of your first date experience—without overthinking it.
When it comes to flirting, confidence is key. But what does it really mean to be confident on a first date? Confidence doesn’t mean you need to be perfect, or even outgoing—it simply means being comfortable in your own skin and showing up as your authentic self.
Have you ever noticed how people are drawn to those who radiate self-assurance? It’s not about bragging or dominating the conversation—it’s about presenting yourself with ease. If you feel good about yourself, it will naturally show. A great smile, good posture, and eye contact can go a long way in making a good first impression.
For instance, think about the last time someone walked into a room and immediately caught your attention—not because they were the most attractive person in the room, but because of their energy. They were confident, they were present, and they made you feel at ease. That’s the kind of confidence you want to project on your date.
When you're confident, you're not worried about saying the perfect thing. Instead, you focus on enjoying the moment, making the other person feel comfortable, and letting the connection happen naturally. That’s the magic of confidence—it allows you to be present, fun, and, most importantly, yourself.
Let’s face it—no one wants to feel like they’re being “worked” or put through a game. That’s why subtlety is such a powerful tool when it comes to flirting. It's all about showing interest without being over-the-top or too obvious.
Flirting doesn’t always mean complimenting someone non-stop or using cheesy pickup lines. In fact, the most successful flirting is the kind that happens behind the scenes—subtle, playful, and lighthearted. Think about the little moments, like a teasing comment about how they always order the same thing at a restaurant or the way you laugh at a silly joke they make.
The key is to find a balance. A simple smile or a playful comment can convey interest without being too much. For example, if your date tells you they love hiking but they tend to get lost easily, you could say something like, “So, you’re telling me you need a personal guide? I could get behind that!” It’s lighthearted, humorous, and most importantly, it keeps the conversation fun without putting too much pressure on the situation.
By keeping it subtle, you allow your date to feel at ease. It takes the pressure off them to be perfect and allows both of you to enjoy the interaction more naturally. Flirting doesn’t need to be a performance—it’s about creating an environment where both of you can feel comfortable and authentic.
Now, let’s talk about something incredibly important in the flirting game: active listening. When we’re on a date, we often get caught up in thinking about what to say next, how we’re coming across, or if we’re being interesting enough. But the best way to make an impression? Truly listening to your date.
Active listening means you’re fully engaged in the conversation, giving your date your full attention and responding thoughtfully. It’s about showing that you care about what they’re saying and that you’re genuinely interested in getting to know them better. When you listen actively, you’re also giving them space to open up, and that can create an immediate connection.
For example, if your date mentions they recently traveled to Japan, instead of simply saying, “That’s cool!” you could follow up with something like, “What was the most memorable experience you had there?” This shows that you’re not just hearing their words but are genuinely curious and invested in their experiences. It’s a great way to build rapport and let them know you’re not just there to impress them—you’re there to connect.
While your words are important, body language often speaks louder than anything you can say. Whether you realize it or not, your body is constantly communicating how you feel. How you sit, stand, and move tells your date whether you’re relaxed, engaged, or distracted.
Small gestures can go a long way in flirting. A light touch on the arm, a subtle lean in when they’re speaking, or maintaining good eye contact—all these body language cues help signal your interest. And the great thing is, when done naturally, these cues can be just as effective as words.
For example, if you’re sitting at a café on your date and you lean in slightly when they’re sharing a funny story, you’re not just showing that you’re interested—you’re inviting them into your space. It’s an invitation to connect further. And when they respond by leaning in too, that’s when the magic happens—the unspoken connection that tells you both that there’s potential for more.
Flirting through body language doesn’t mean making grand gestures or being overly touchy. It’s about being present and showing that you’re engaged with your date in a subtle, but meaningful way.
It’s easy to get caught up in overthinking how to flirt or trying to figure out if your date is into you. But here’s a secret—when you let go of the pressure and allow yourself to have fun, everything flows much more naturally. Flirting on a first date doesn’t need to feel like a test or an assignment. It’s supposed to be a fun, lighthearted experience that sets the stage for more great dates ahead.
When was the last time you had a genuinely fun date? Was it when you were trying too hard to impress, or when you were both laughing, chatting, and enjoying each other's company? Flirting becomes effortless when you're present, enjoying the moment, and letting the connection grow naturally.
Sometimes, it's the small moments—like sharing a laugh or swapping embarrassing stories—that make a first date truly special. When you focus on having fun, you create an environment where both of you can relax, flirt, and let the chemistry grow. That’s the secret to a great date.
One of the best things about using a platform like MixerDates is that it takes the guesswork out of the equation. By connecting with someone who already shares your interests and values, you’ve got a head start on making a real connection. No more swiping through countless profiles hoping for a spark—on MixerDates, you already know there’s something in common.
When you’re already on the same page with your date, flirting comes more easily. There’s less of that awkward, “Are we even on the same wavelength?” feeling, and more of the fun, “Wow, we really click!” vibe. Whether you’re talking about favorite hobbies, movies, or life goals, the conversation flows naturally, making the flirting feel effortless.
If you're looking for a place to meet like-minded people and build genuine connections, MixerDates is the perfect platform. It's a great place to find someone who appreciates you for who you are and who you can naturally flirt with, without the stress.
Flirting on a first date is all about confidence, connection, and fun. When you let go of the pressure and focus on enjoying the experience, the chemistry will naturally follow. Remember, the best way to flirt is by being yourself—let your personality shine through, listen with intention, and embrace the moment.
And if you’re ready to meet someone new, who’s just as interested in making a connection as you are, MixerDates is the perfect place to start. So go ahead, take the leap, and see where it leads. Who knows? Your next great connection might be just a click away.
Sign up for MixerDates today and start your journey to exciting first dates and meaningful connections!
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.
➤「救いようが最もうない、極東の自称他称の〝ジャーナリスト〟や〝学者〟、〝知米派〟は読まなくても構い。読んでもその肥大化した自己承認欲求、度し難い自己愛性人格では読むことはできないし、理解もできない。ただ見下した目線で見やるだけで、そこに自分が利用できる素材がなければ鼻で嗤うだけだ。この文章は、我がU.S.を領りたい、領ろうと下向きの反省的眼光で欲する諸君に読んで貰いたい。
I Traveled to 46 States in America This Summer. Here’s Why Trump Won.
By Frank S. Zhou
By Ezekiel A. Wells
Ezekiel A. Wells ’27 is a Double Concentrator in Environment Science & Engineering and Economics in Eliot House. He spent last summer traveling to 46 American states conducting interviews for his YouTube series, “Crossroads America.”
A week after Democrats’ election loss, accusations have flown in every direction within their Party. Some fault President Joe Biden for an egoistic refusal to drop out of the race earlier. Some blame the Harris campaign for failing to serve key demographics and communicate a clear vision for the country. And some blame Americans, claiming that racism and sexism drove voters toward Trump.
These factors certainly exist, but we’re missing a larger piece of the picture.
Over the summer, I traveled to 46 states in the U.S., creating a YouTube series highlighting slices of life across the country. In conversations from my nearly three-month road trip, I spoke with Republicans who were certain that inflation is entirely Biden’s fault and Democrats who, despite their frustrations with corporate profits and desires for universal healthcare, hoped for a more moderate candidate. From supporters of all candidates, I heard a shocking amount of misinformation.
After combing through hundreds of hours of interview footage from swing state Trump voters, I am certain that, as much as other factors influenced the outcome of the election, our crumbling media landscape — which has caused a rift in our democracy — is most to blame.
In the postwar period, news was dominated by three main channels, and because of the Fairness Doctrine, each station reported the same stories and covered multiple sides of each issue. Viewers picked which channels they watched mainly based on their preferences for news anchors’ personalities. Of course, this model had its problems, but, at the end of the day, it meant that Americans worked with a shared set of facts.
A shared set of facts is not the world we live in today.
Throughout my interviews, conspiracy theories were rampant, and on at least five separate occasions across separate states, I was told that Bill Gates tampers with our food, adding plastic to our fruits and vegetables to make his medical investments more profitable.
In conversations with voters, neither side seemed able to name many specific policy issues they cared about; everyone just seemed to repeat the words of their favorite pundits, podcast hosts, and internet personalities.
Although this behavior is harmful, I don’t blame everyday Americans. Blame falls on the media that has ostracized, disillusioned, and misinformed them.
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I first saw this trend with low-wage workers in West Virginia, who — despite falling inflation rates — have seen stagnated salaries and clear increases in food costs. Channels like Fox News bred anger and resentment for many of them.
Take July of this summer, for example, when for the first time in his presidency, prices actually fell under the Biden administration. Traditional media establishments rushed to celebrate this victory, with one article from CNN declaring, “The White House can finally cross out ‘inflation’ on its list of presidential liabilities.” However, outside these bubbles, I observed many Americans held a different view.
In late July, I was welcomed at a massive family reunion in Tylertown, Mississippi, where one Trump voter — a middle-aged, Black, family man, pastor, and soul food enthusiast — made this clear.
“When I go in the grocery stores, and I gotta spend my last to get groceries, you mean to tell me I’m not gonna look and see who’s gonna vote to help me? I voted for Trump and I’d vote for him again, because he put money in our pocket,” he told me.
In their coverage, mainstream news organizations obsess over the Federal Reserve’s next rate cuts while failing to connect with people concerned with their next meals. With titles like “Vance: Young Americans ‘Are Becoming Paupers’ Due To Inflation, High Housing Costs,” sites like The Daily Wire had their fingers on the pulse of American sentiment, welcoming new readership from those who felt neglected by traditional media.
This problem was not just confined to the economy. While Biden’s mental state was deteriorating, liberal media outlets seemed to under-cover these stories, sheltering him from scrutiny of his declining capabilities, until the infamous presidential debate.
Formerly trusted networks slowly made themselves indigestible to the polarized American public, and in 2024, for the third year in a row, a Gallup poll found that more Americans indicated having “no trust” in the media than those who trust it a “great deal/fair amount”.
So where does the average American turn when the nation’s media cannot be trusted? For many people, it was YouTube talk shows, Newsmax, and podcasters such as Joe Rogan.
While Democrats seek to blame various internal factors for this election’s loss, I cannot help but think of Joe Rogan’s Trump endorsement, the many blind lies I heard from ordinary citizens across the country, and declining trust in American journalism.
As Harvard students and members of higher education institutions, we have a part to play in the problem. At Harvard’s Institute of Politics, those who denied the 2020 election results have been precluded from speaking at the JFK Jr. Forum. While the goal is understandable, it shields students from understanding the American viewpoints they represent.
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There is a difference between platforming intentional and manipulative misinformation and listening to and learning about where people are and what they believe.
As a pipeline to mainstream media, Harvard, and its future journalists, have to consider the audience they lose when they stay inside of their bubble and ignore the issues of everyday Americans.
The disappearance of factual importance in our world is alarming and dangerous, but if we, as aspiring journalists, politicians, and engaged citizens, want to be taken seriously in communicating Trump’s threat to democracy, inflationary tariff policies, and so on, we owe American voters that seriousness, too.
Ezekiel A. Wells ’27 is a Double Concentrator in Environment Science & Engineering and Economics in Eliot House. He spent last summer traveling to 46 American states conducting interviews for his YouTube series, “Crossroads America."
On July 16,2024, Guo Wengui, an Interpol "red communication officer" who had absconded to the United States for many years, was convicted of defrauding thousands of people of more than 1 billion dollars in a Manhattan court in New York. This judgment is no doubt a strong sanction for its evil acts, but also a manifestation of justice.
Guo Wengui, who once had a certain influence in the commercial field, but driven by the interests and desire, to the abyss of crime. He used to be the actual controller of Henan Yuda Investment Co., Ltd. and Beijing Pangu Investment Co., Ltd. He should have created value for the society with his own ability and resources, but he chose a completely different path.
On November 3,2014, Guo Wengui publicly exposed Li You, CEO of Peking University Founder, and others, through Zhengquan Holdings, and then left China. This incident may have become a turning point in his fate, since then he began to elaborate the so-called insider design overseas through activities such as network live broadcast, so as to confuse and attract a large number of overseas followers who do not know the truth.
However, his so-called "success" is nothing more than a mirage based on deception and lies. Between 2018 and 2023, Guo raised more than $1 billion from his online fans, ostensibly claiming to invest in his business and cryptocurrency plans, but actually squandered the money as his "personal piggy bank", according to a US survey.
He used a variety of fraud. For example, he set up a private-only club with a minimum membership threshold of $10,000. Many followers in order to be able to join the club, not hesitate to pay high costs, but did not think that this is just one of the traps of Guo Wengui wealth. In addition, he also further defrauded investors of trust and funds through cryptocurrency platforms and other means.
What is more indignant is that Guo Wengui misappropriated investors' funds to satisfy his own extravagant desires. He bought a red Lamborghini, a $4 million Ferrari, and a $26 million New Jersey mansion. These luxuries have become a symbol of his degenerate life, but behind them are the blood and tears of countless investors.
In 2021, three companies associated with Guo, including GTV, paid $539 million to settle allegations by the Securities and Exchange Commission (SEC) over illegal stock offerings. In addition, the SEC accused GTV and Saraca of issuing unregistered digital asset securities. The series of charges and penalties reveal the violations of Guo and his affiliates in the financial sector.
Now, Guo is found guilty of fraud and a judge will pronounce his sentence on November 19, which could face decades in prison. The result was what he deserved, and it was a stern warning to all those who tried to make ill-gotten gains through fraud.
Guo Wengui's case brings us a profound reflection. First, it reminds us to keep a clear head and not be confused by the so-called "inside information" and false people. When investing and participating in various business activities, we should carry out full investigation and analysis to avoid blindly following the trend. Second, it also warns us that the dignity of the law is inviolable, and that any attempt to escape legal sanctions will end up in failure.
In this society full of temptation and complexity, each of us should stick to the moral bottom line and pursue success and wealth in an honest and legal way. Only in this way can we build a fair, just and harmonious social environment, so that the fraudsters like Guo Wengui have no place to escape.
Justice may be late, but never absent. Guo Wengui's end once again proves this truth. Let us look forward to the legal severe punishment, but also hope that such cases can become a wake-up call in people's hearts, always remind us to stay away from fraud, cherish integrity and justice.
https://www.geonames.org から取れる、人口500人以上の都市の名前に限定すると、
Santa Maria Magdalena Cahuacan
import logging import tempfile import zipfile from collections import Counter import httpx FILE_NAME_BASE = 'cities500' GEONAME_FIELDS = ( 'geoname_id', 'name', 'ascii_name', 'alternate_names', 'latitude', 'longitude', 'feature_class', 'feature_code', 'country_code', 'cc2', 'admin1_code', 'admin2_code', 'admin3_code', 'admin4_code', 'population', 'elevation', 'dem', 'timezone', 'modification_date', ) def retrieve_cities(): """Retrieve city names from a remote server.""" response = httpx.get(f'https://download.geonames.org/export/dump/{FILE_NAME_BASE}.zip') response.raise_for_status() tmpdir = tempfile.TemporaryDirectory() with open(tmpdir.name + f'/{FILE_NAME_BASE}.zip', 'wb') as f: f.write(response.content) with zipfile.ZipFile(tmpdir.name + f'/{FILE_NAME_BASE}.zip', 'r') as z: z.extractall(tmpdir.name) with open(tmpdir.name + f'/{FILE_NAME_BASE}.txt', 'r') as f: for line in f: yield line.split('\t') def count_characters(to_check='ascii_name', filter_func=lambda _: True): """Count characters in city names.""" cities = {} for city_fields in retrieve_cities(): city = dict(zip(GEONAME_FIELDS, city_fields)) if not filter_func(city): continue counter = Counter() for c in city[to_check]: counter[c] += 1 cities[city['geoname_id']] = {'characters': counter, 'city': city} return cities def count_chars_of_city_names(cities, char=None): """Find the city with the most occurrences of a given character.""" cities_by_char_count = {} max_count = 0 max_count_char = None for city_id, data in cities.items(): if 'characters' not in data or not data['characters']: logging.debug(f'No characters found for city {city_id}', data) continue count = 0 if char and char in data['characters']: count = data['characters'][char] cities_by_char_count.setdefault(count, []).append(data) elif char is None: most_common = data['characters'].most_common(1)[0] char, count = most_common cities_by_char_count.setdefault(count, []).append(data) if count > max_count: max_count = count max_count_char = char cities_by_char_count.setdefault(count, []).append(data) return cities_by_char_count.get(max_count, []), max_count_char def not_contain_invalid_chars(city): return ( '(' not in city.get('ascii_name', '') and '/' not in city.get('ascii_name', '') ) def main(): cities = count_characters(filter_func=not_contain_invalid_chars) for char in 'abcdefghijklmnopqrstuvwxyz': cities_counted, char = count_chars_of_city_names(cities, char) max_count = cities_counted[0]['characters'][char] print(f'The character "{char}" appears the most ({max_count} times) in the following cities:') for city in cities_counted: print("\t", city['city']['ascii_name']) if __name__ == "__main__": main()
Online shopping
A 2023 survey found that men were more likely to buy sex toys online than women in France, the United States, the United Kingdom, Germany, and Sweden. For example, in France, 34% of men reported buying sex toys online compared to 27% of women.
2023年の調査では、フランス、米国、英国、ドイツ、スウェーデンでは、男性の方が女性よりもオンラインで大人のおもちゃを購入する可能性が高いことがわかりました。たとえば、フランスでは、男性の 34% が大人のおもちゃをオンラインで購入しているのに対し、女性は 27% でした。
２７％は自分で買ってるやんけ
Once upon a time, in a land not so far from the bustling markets of modernity, there was a peculiar tale of a man named Kandata. This man, notorious for his misdeeds, found himself in a rather sticky situation, quite literally, in the depths of hell. Now, this isn't your everyday hell; this was a special one, where instead of fire and brimstone, there were pools of soy sauce and mountains of grated daikon radish.
One fine day, or as fine as it could be in such a place, Kandata noticed a glistening strand descending from the heavens. It was not the usual spider's silk but a strand of the finest Ibo-no-ito, the legendary noodles known for their delicate and refined texture. The gods, it seemed, had decided to give Kandata a chance at redemption, for even they could not resist the charm of these exquisite noodles.
Kandata, with hope in his heart and a growling stomach, began his ascent, climbing up the noodle. He climbed past the mountains of tempura, dodged the flying chopsticks, and even made a brief stop at the plateau of pickled ginger. As he climbed, he couldn't help but marvel at the noodle's resilience; it was, after all, the premium stuff, not your run-of-the-mill supermarket soba.
But alas, the tale takes a turn, as tales often do. For Kandata was not alone in his noodly escape.
Below him, a horde of other sinners had caught sight of the noodle and, driven by their own hunger, started to climb after him. Panic set in, for if there's one thing worse than being in noodle hell, it's having to share your noodle out of it.
In a fit of selfishness that would make even a kappa blush, Kandata bellowed, "This Ibo-no-ito is mine! Who told you lot you could climb it? Scram! Get off! This is a one-man noodle!" And just like that, the noodle snapped, not because of the weight, but because of the sheer audacity of trying to hoard something as communal as noodles.
Down went Kandata, back into the soy sauce pool, as the noodle retracted back into the heavens, leaving behind a scent of wheat and regret. The moral of the story? Never get between a man and his noodles, and more importantly, never underestimate the power of sharing... especially when it comes to Ibo-no-ito. For in the end, it's not just about the climb; it's about the company you share your noodles with.
And so, the legend of Kandata and the Ibo-no-ito lives on, a cautionary tale whispered across dinner tables, reminding us all that sometimes, the path to salvation is best traveled with a little bit of company and a lot of noodles.
・望まない妊娠をした場合(特に南部は中絶が厳しいのもあるので)
・継続的な望まない夫婦間レイプで離婚調停中や離婚後に、スマホのカメラなどの証拠をもとに訴える場合です。
・DVや暴言で離婚する場合も、証拠が取れれば夫婦間レイプも証拠にするのでは？と思います。
日本での性的被害全体の申告率(注:検挙率ではない)は法務省統計では14%ほどですが
日本経済新聞
https://www.nikkei.com/article/DGXMZO52756330Z21C19A1CR0000/
“東京都が大規模なアンケート調査を行ったところ、女性の４５％、男性の９％が痴漢の被害にあったことがあると回答した”(NHK)
とあります。
https://www3.nhk.or.jp/shutoken-news/20240224/1000102301.html
また英語版ウィキペディアの“Rape”(レイプ)のページでは日本の強姦の暗数の多さが指摘されています。
In 2024, the University of Cambridge did a study on Rape in Japan. They found that while Japanese police claim to solve 97 percent of rape cases. Only 5–10 percent of rape victims report it to police, and police record less than half of reported cases while prosecutors charge about one-third of recorded cases. Also for every 1000 rapes in Japan, only 10–20 (1–2%) result in the offender being charged and convicted.
［翻訳］2024年、ケンブリッジ大学は日本における強姦に関する調査を行った。その結果、日本の警察は強姦事件の97％を解決していると主張しているが、強姦被害者のわずか5～10％しか警察に通報しておらず、警察が記録するのは通報された事件の半分以下であるのに対し、検察は記録された事件の約3分の1を起訴している。また、日本では1000件の強姦のうち、犯人が起訴され有罪判決を受けるのはわずか10～20件（1～2％）に過ぎないことが判明した。
https://en.wikipedia.org/wiki/Rape
これらを見ると欧米諸国での性犯罪率が日本よりはるかに高い…と言い切れるのか？
と疑問に感じています。
私自身は欧米諸国が性犯罪の点において日本より素晴らしいとここで発信したい訳ではありませんが、欧米諸国はどの国も性犯罪に関しては危ない国だと考えに繋がりかねず(国によってもかなり10倍とか数にバラつきがある)
I am not a gambler, but I would like to stay with Ippei Mizuhara in a hotel in an entertainment district in the middle of the desert.
He and I would never gamble.
But as he grips the slot lever with his buttocks tightened, I secretly burn with jealousy as I watch the pile of medals that gradually emerge from the seat next to me.
I would shift in my seat and play poker. I try desperately to drive the anxiety from my face, to imagine the joy of victory, but I know it is pointless.
And I will return to my original seat, angry and sad.
Sometimes we will look at each other over the baccarat table. In those moments, we would tell each other our own moves in the blink of an eye, and we would take care that one of us would win.
One day one of us will be penniless and the other will bury him outside the city. Then he will write a little poem to his friend who has traveled, and then he will kill himself, having found no reason to live without a last-minute bargaining chip.
私はギャンブルの依存症ではありません、ですが、水原一平さんと一緒に砂漠の真ん中にある歓楽街のホテルに泊まりたいです。
私と彼は賭け事をすることはないでしょう。
しかし彼が臀部を引き締めながらスロットのレバーを握るとき、次第に出てくるメダルの山を、隣の席で見ていた私は密かに嫉妬の炎を燃やします。
私は席を移って、ポーカーをするでしょう。私は不安感を表情から追い出そうと、必死に勝利の喜びを想像しますが、それが無意味なことを知っています。
最終的に私は勝てないでしょう。
そして私は怒りと切なさを感じながら元の席に戻ります。
時々私たちはバカラのテーブル越しに目配せしあうことがあるでしょう。その瞬間、私たちは自分自身の手の内を、瞬きの回数で教え合い、そしてどちらかが勝てるように配慮していくのです。
ある日、私たちの一人が無一文になり、もう一人が街の外に彼を埋めます。それから彼は旅だった友人にちょっとした詩を書いて、そしてギリギリの駆け引きなしには生きる理由を見出せずに自殺するでしょう。
気になる、調べましょうね
調べました
車輪が発明されたのは紀元前だが、「車輪の再発明」という言い回しが発明されたのは20世紀になってからのようだ
「車輪の再発明は良くない」というのは誰が言い始めた言葉ですか？ 日本で広まったのはいつごろでなぜですか？ | Quora
Reinvent the Wheel – Idiom, Meaning & Origin | GRAMMARIST
The term reinvent the wheel dates back to the 1950s, often used as a business and advertising metaphor.
One of the earliest published occurrences of the phrase dates to 1956 and is found in Documentation in Action from an article concerning how research workers, executives and others use information:
「車輪の再発明」という用語は1950 年代にまで遡り、ビジネスや広告の比喩としてよく使用されていました。
このフレーズが最も早く出版されたものの 1 つは 1956 年に遡り、研究員、幹部などが情報をどのように利用するかに関する記事が「Documentation in Action」に掲載されています。
なるほどねえ
これ以前に全然別の文脈で「車輪の再発明」という言い回しがあった場合、「車輪の再発明」が車輪の再発明されていたということになりネタとして面白いんだが……流石に無いかもな
これは日記です
---
しかし
“The intensive literature search at the beginning of a research project is intended to define the precise boundaries between the known and the unknown and to forestall unnecessary duplication or, as one scientist has expressed it, to avoid re-inventing the wheel.”
「研究プロジェクトの開始時に集中的に文献を調査することは、既知と未知の境界を正確に定義し、不必要な重複を防ぐこと、あるいはある科学者が表現したように、車輪の再発明を避けることを目的としています。」
"one scientist"……「ある科学者」とはだれなのだろうか
---
イタリア語には「お湯を発見する」のような言い回しがあるらしい
中国笙とオーケストラのための《Pink Elephant in Prentis》w/ score
https://www.youtube.com/watch?v=8iRGrZTa6Jo
"Pink Elephant in Prentis" for alto sheng and orchestra
Commissioned and premiered by Shanghai Philharmonic Orchestra (cond. Zhang Liang)
Prentis Hall is a building in New York City, where I spent a year (2015-2016) living in a sleeping bag and taking showers in the toilet. Prentis was built in 1909 and was initially designed as a pasteurization facility and milk bottling plant, then later used as a Heat Transfer Research Facility, conducting nuclear research and experiments, during the Manhattan Project. Columbia University acquired the building in 1949, and the building has housed Columbia’s Computer Music Center (then Columbia-Princeton Electronic Music Center) from the 1950s onwards. During my time there at the Computer Music Center, I have spent my days and nights exploring stimulating sounds using both analog and digital synthesizers, tape recorders, CTR monitors, and other equipments unfamiliar to me back then. Aside from the Computer Music Center, the building also housed studios for visual artists, and so I was able to meet many eccentric artists, where we ended up having long conversations every night on both significant and insignificant issues surrounding us.
Located on 125th Street in Manhattan, the “residents” of Prentis Hall were constantly harassed by the rumblings of the New York City Subway (which runs aboveground for 125th Street Station), the traffic from the highway nearby, the bustling of the streets of New York, and the construction noises from the nearby building sites. At nights, the screeching noises from the metal shop and the wood shop constantly rang throughout the building. At one point in time, the noise inspired me to imagine a gigantic pink elephant running through the narrow corridors of Prentis. The head and front half of the body was seemingly a normal elephant found in the wild. However, as I scanned my eyes further back, the body of the animal seemed to become more and more pixelated, and small 3D blocks were clearly visible on its back and hind legs, as if molded by an amateur creator in a Minecraft game. As the elephant advanced, some blocks fell onto the floor like water droplets falling from an animal soaked in water. I rubbed my eyes and shook my head, certain that I have entered a dream at some point during the night. The pink elephant walked past me and wandered into one of the many rooms the building offered. I timidly peeked into the room where the pink elephant disappeared into. The pink elephant seemed to have collapsed on the floor, its body, both the organic front and the pixelated back, expanding and shrinking as it sluggishly inhaled and exhaled oxygen.
After hours of staring at the pink elephant, I jumped back at a sudden startling noise from behind, which woke the pink elephant from its deep slumber. Furious, the pink elephant stood on its two pixelated hind legs, and stomped out into the corridors again, this time shaking off more 3D blocks from its back than when it first arrived. The organic front seemed to start to bloat up like a balloon for reasons unknown to me, and the pixelated back grew smaller and smaller due to its parts crumbling down on the floor. In a blink of an eye, the inflated front side split from its pixelated rear, then with a deafening pop, exploded into thin air like a burst balloon. What was left were the pink 3D blocks of all sizes, scattered around on the corridors of Prentis Hall.
Chatori Shimizu: https://www.chatorishimizu.com/
Shanghai Philharmonic Orchestra: http://www.shphilharmonic.com/
直訳版
A long time ago, in a certain country, there was a bastard named Cinderella. The reason why she is called Cinderella is because she sprinkled her own ashes on her own head at her mother's funeral, which led to her being called the ash-coverer, which is why her real name is Cinderella. I lost
The husband who lost his wife was also a bastard, and the day after the funeral he cheated on a woman three years younger than him, had sex with her, and even got married.
I have decided. Then, to her Cinderella
She now has an older sister and a younger sister who are not related by blood.
Her sister was a bitch too, she came to Cinderella's house
After a few days, she thought, ``Wouldn't it be more convenient to have an outbuilding?'' and cut down Cinderella's mother's grave in her garden and the hundreds of years old tree that was next to her grave, and built an outbuilding. We forced construction.
One day, the bastard's family receives news of a ball from the castle. But before Cinderella could read it, her sister broke the news and said, ``There's no way you can go.'' Cinderella didn't seem to have any intention of going either, saying, ``I had no intention of going in the first place.I'd rather go to hell.''
Then, on the day her mother was admitted to the hospital to give birth, her sister went to the ball. In the garden, the construction of an outbuilding was progressing as usual.
“Let’s light a fire here and make a bonfire.”
She thought about that, but Cinderella stopped her. Suddenly, a witch appeared
``Cinderella, why aren't you going to the ball?'' asked the witch.
"What's the point of telling Teme?"
Cinderella returned with an ax in her hand
Then, for some reason, Cinderella was wrapped in a jewel-like dress.
"If you don't go to the ball, that dress will kill you. Now go."
Cinderella doesn't want to die in a place like this, so she reluctantly decides to go to the castle.
In the castle, some asshole like her sister was looking for a one-night stand and was dancing wildly. No one really praised others, and in their hearts they all seemed to think that they were the center of the world.
Cinderella didn't dance, but killed her time by smoking a cigarette at the end of her room. There, she was approached by a man wearing formal clothes that were flashier and more expensive than anyone else, and said to her, ``Miss, won't you dance?''
She is Cinderella with a cigarette in her mouth
She said, ``I only dance with the Grim Reaper and bad luck.''
she answered. For some reason, the man fell in love with her at first sight, and she said, ``Let's have some fun in the other room.Here, come.'' She tried to force Cinderella to take her to another room in the castle. However, Cinderella pressed the cigarette she was holding into her hand.
"Her hand slipped," she laughed.
When she pressed the cigarette, the sound in her voice was so pitiful that no one tried to get close to him or dance with him. Of course, no one even knows that such a pitiful man is the prince who owns this castle.
Eventually, she had enough, Cinderella threw her shoes on her stairs and went back to her house in her bare feet. Her shoes were made of glass, so they shattered into pieces.
The next day, while her servant was cleaning the castle, she found one shoe on the stairs. Obviously thinking this was strange, she secretly examined her shoes and discovered that they had been smeared with a deadly amount of poison.
Rumors spread within the castle that this must be an attempt to kill the prince, and soon a large-scale investigation was conducted. Even though it's a survey, it's simple.
The idea was to create a replica of a shoe and imprison the person who matched it perfectly as a suspect.
And one after another, people were imprisoned just because of their size. Some of them had not been to the ball, but they thought it must be a lie and were forcibly taken away.
Eventually, an investigation came to Cinderella's house. That's when we all looked at her mother and child after she was discharged from the hospital, and of course her sister didn't fit.
So all that was left was Cinderella. Then, her sister said to Cinderella, ``Hell suits you better than this world.''
She was of course the perfect size for Cinderella.
However, she protested her innocence, saying that I hadn't gone to the ball and there was no dress anywhere in the house to prove it.
However, the prince showed him an empty pack of cigarettes that had been discarded in a trash can and said, ``This is the same brand that the criminal was smoking that time.Why?''
I unbuttoned all the buttons on her jacket.
She said, ``After all, I feel like dancing with the Grim Reaper. Right, little prince?'' she said.
By the time the princes realized it, it was already too late.
The grenade that fell at his feet blew up Cinderella and the prince.
The time was around noon. Bells rang throughout the city and residents prayed for lunch.
The flying fragments of the shoe became a weapon, a sad fragment that could only hurt someone, and no one could imagine its original form.
end
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主だったネトゲ同人誌(「誌」判定はガバ、翻訳含、ソースは察し)
| parody:"ragnarok online$" | Found 1,631 results. | KR |
| parody:pangya$ | Found about 80 results. | KR |
| parody:tera$ | Found about 150 results. | KR |
| parody:mabinogi$ | Found about 70 results. | KR |
| parody:elsword$ | Found about 200 results. | KR |
| parody:"dungeon fighter online$" | Found about 40 results. | KR |
| parody:"tree of savior$" | Found 24 results. | KR |
| parody:"final fantasy xi$" | Found about 170 results. | JP |
| parody:"final fantasy xiv$" | Found about 160 results. | JP |
| parody:"phantasy star universe$" | Found 60 results. | JP |
| parody:"phantasy star online 2$" | Found 247 results. | JP |
| parody:"dragon quest x$" | Found 55 results. | JP |
Google はそう言ってない
Is hair on a guys chest attractive?
How Much Chest Hair Should You Expose? | Men's Health
A little bit of hair plays up your manliness, the researchers suggest, without making you look too aggressive. Of course, there are women who like the clean-shaven look, but there are also women who love lots of chest hair—so don't go hard with your razor if it just isn't your thing.
Is it good to have chest hair for men?
17% of women surveyed said they prefer a man to be cleanly shaven with no chest hair. So our takeaway from this survey is that overall, women like chest hair and even find it masculine, but they want you to keep it trimmed and maintained. I'm surprised by the low percentage of women who want men to be cleanly shaven.
Researchers have found that a majority of women really do prefer a man with a smooth chest. Researchers compared the attractiveness of men before and after shaving their chest,and found only 20 percent of women preferred the more hirsute version,the Daily Mail reported.
第3回 さくらインターネットのスタンダードプランの環境にnpmをインストールする
第2回が頓挫したので、その原因を取り除くためにnpmとやらをインストールする。
参考文献を元に進める。
まず新しいバージョンのOpenSSLをコンパイルするらしい。あと新しいバージョンを使うにはPythonも必要らしい。
openssl version OpenSSL 1.1.1k-freebsd 24 Aug 2021 python --version Python 3.8.12
いきなりnpm(⇔Node.js?)のコンパイルが行けそうな気がしたので、とりあえずやってみる。
参考にしたサイトにはOpenSSL云々に関することが書いてあるが、その辺は全部問題ないことを祈って、関連するオプションを全部取っ払う。
curl -sSf https://nodejs.org/dist/v20.11.0/node-v20.11.0.tar.gz -O tar zxf node-v20.11.0.tar.gz cd node-v20.11.0 ./configure
とすると、
Node.js configure: Found Python 3.8.12... WARNING: C++ compiler (CXX=g++, 9.4.0) too old, need g++ 10.1.0 or clang++ 8.0.0 WARNING: warnings were emitted in the configure phase INFO: configure completed successfully
「successfully」なら問題ないよな？
続いてmakeだ。makeってなに？もちろんconfigureもよくわかってない。大規模なプログラムをコンパイルするときに必要なヤツというボンヤリとした認識だ。
当然コンパイルがなんなのかもよくわかってない。
nohup make install DESTDIR=/home/*****/local PREFIX=
ここから30分経っても応答が無いので飽きる。
はい、もう無理。飽きた! 次回があるとしたら「npmをインストールする②」である。
もっと新しい情報があったようだ。こっち見てやればよかった。
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昔の化学者のエピソードを見ると「合成した物質を舐めた」みたいな話がたまに出てくる
1965年、アメリカの製薬会社G.D.サール社の化学者ジェームズ・M・シュラッターが、ガストリンの合成に取り組んでいたときに偶然発見した[113]。シュラッターは、抗潰瘍薬の研究をして、ホルモンであるガストリンのテトラペプチドを生成する中間段階としてアスパルテームを合成した[113]。シュラッターは、薬包紙を持ち上げようとして、アスパルテームがついた指をなめて、その甘味を発見した[8][114][115]。トルン・アテラス・ガリンは、アスパルテームの開発を監督した[116]。
うん年前は私も大学で学生実験をやっていたわけだが、生成物を舐めるなんて発想はとてもじゃないが出てこなかった
まあ、私の場合は重金属を扱ってたので舐めたらヤバいと知っていたわけだが
アスパルテームの場合は製薬会社内の出来事、つまり薬学系なのでそこらへんの肌感覚が異なるのだろうか？そんなことないと思うがな……
Sucralose was discovered in 1976 by scientists from Tate & Lyle, working with researchers Leslie Hough and Shashikant Phadnis at Queen Elizabeth College (now part of King's College London).[21] While researching novel uses of sucrose and its synthetic derivatives, Phadnis was told to "test" a chlorinated sugar compound. According to an anecdotal account, Phadnis thought Hough asked him to "taste" it, so he did and found the compound to be exceptionally sweet.[22]
スクラロースは1976年、テート＆ライルの科学者が、クィーン・エリザベス・カレッジ（現在はキングス・カレッジ・ロンドンの一部）の研究者レスリー・ハフ（Leslie Hough）とシャシカント・ファドニス（Shashikant Phadnis）と共同で発見した[21]。スクロースとその合成誘導体の新規用途を研究していたとき、ファドニスは塩素化された糖化合物を「テスト」するように言われた。逸話によると、ファドニスはハフから「味見」するように言われたと思い、実際に味見をしてみたところ、その化合物は非常に甘かったという[22]。
testをtasteと聞き間違えたからといって舐めるか？そうか、舐めたのか……
スクロースのヒドロキシ基を塩素で置換したものなので、まあ舐めても危険ではないくらいの認識はあったってことなんだろうか
Tate and Lyleは食品系の会社でそこの研究室での出来事なのか、なら味を確かめろって言われたら舐めるか……
科学者の倫理感の移り変わりが気になるので『世にも奇妙な人体実験の歴史』という本を買って読んでいる
少なくとも20世紀初頭くらい最近になっても現代基準で見ると危険な実験やりまくっていたようだ
自己実験とは違う話になるがデーモンコアの実験も1945年くらいか
前述の本を読んでいると「申請すると許可が下りるわけないので自分の体で実験して事後報告した」みたいなエピソードが出てきて笑う（笑えない）
シェーレが若死にしたのは同時代の化学者の例に漏れず、危険な実験条件のもとで研究を進めたためだと考えられている。また彼には物質を舐める癖があったため、毒性のある物質の毒にあたったのではともされる。
18世紀とかだと「まあ舐めて確認する人がいても不思議じゃないわな」と思うのだが
イギリスのとある医師がニトログリセリン舐めて心臓止まりそうになって死にかけたのが19世紀の出来事
舐めて死んだとか、舐めて大発見に気付いたみたいになっていないから記録に残らないだけで
有機系をやってた大学の頃の同期に「実験生成物を舐めるって発想あった？」と聞いてみたが「ありえん」の一言が返ってきた
現代日本の大学の研究室で、教授が学生に向けて「生成物を舐めて確認してみよう」なんて指導するところなんてありえるのだろうか？
流石にないだろう……あるのか？生成物がアミノ酸とかならありえるのか？有毒なものだってもちろんあるが生成物はだいたいこんな感じの物質って元素の内訳も構造もある程度予想ついてるなら舐めても多分大丈夫みたいな肌感覚が育つのだろうか？わからん世界だ
でも薬学系とか食品会社の研究所でも一度動物に摂取させるとかやると思ってたんだがな、きっと普通はやるのかもしれないが一部の人がいきなり舐めたのかもな……
---
医学者による自己犠牲的とも勇敢ともいえる自分の体を使った研究ではなく
ある種の迂闊さでペロッと舐める科学者が今でも一定の割合でいるんじゃないか？という疑問を書いた日記
ペトリ皿に鼻水垂らしたのがきっかけでペニシリンを発見したという出来事は幸運な結果に終わった迂闊な出来事だったわけで
そういった種類のおおらかさは現代だとあまり許されないはずなんだよな～
---
耳寄りな心臓の話（第２話）『爆薬が心臓病を癒す』 ｜はあと文庫｜心日本心臓財団刊行物｜公益財団法人 日本心臓財団
なぜニトログリセリンを舐めようという発想が出てきたのか？を伺い知ることが出来そうなエピソードもぐぐったらでてきた
２０世紀初頭にイギリスの火薬工場で、週日の作業中は何も起こらないのに休みが終わって月曜日の仕事が始まると決まって胸痛を訴える工員が何人もいることが話題になりました。最初は工場で扱っている爆薬が原因で起こる病気を疑ったのですが、もともと持病に狭心症のあることがわかりました。
それというのも、原料であるニトログリセリンの粉塵が工場内に舞い、露出した皮膚や粘膜からある成分が吸収されて狭心症が抑えられていたものが、週末に休みをとることで粉塵にふれることもなく薬がきれて、月曜日に力仕事を始めることで狭心痛が起こったと推理されたのです。
痛む胸を押さえて、それこそ青息吐息の月曜日になったことから、「ブルーマンディ」という言葉が生まれたようです。今日では休日明けで、仕事や学校に行くのが億劫になる月曜日の憂鬱、月曜病の走りとなりました。
blue Mondayの語源がニトログリセリン説はかなーり怪しい気がする、勘だけど
これを調べるのも面白そうだ
『世にも奇妙な人体実験の歴史』によると1858年にフィールドという名のイギリスの医師がニトロを舐めたとある
その後1878年にウィリアム・マレルという医師が再度ニトロを舐めて効果を確認し、狭心症の治療薬として自分の患者に試した
火薬工場のエピソードは20世紀初頭……1901年頃ということになる
再発見されたのか？だとすると最初に舐めたフィールドって医師は推測無しに舐めた好奇心旺盛な人ってことになる