What Are Some Daily Things Which ‘Science’ Can’t Answer?

What Are Some Daily Things Which 'Science' Can't Answer?
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link: http://en.wikipedia.org/wiki/The_Moral_Landscape
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C O N T E N T S:


  • Life’s Little Mysteries answers fascinating questions about the world around you and the stuff in it, from things in the news and on your mind to crazy questions you didn’t even know you had.(More…)
  • There’s lots of things that go on, and often that stuff is more important than necessarily getting the technically most accurate answer, and so something like a logistic regression, it’s really great because it’s really easy to understand what’s important, it’s easy to explain to other people what’s going on, and having things not be a black box is often really useful.(More…)
  • If you can’t remember everything don’t worry (e.g. answer questions like “Where should I rest my attention?”(More…)
  • There is day and night and sleep and wake and all matters of cycles in between that govern our daily lives.(More…)


  • None of these made me question the existence of God, as they are either examples of the fact that God wants us to help others of our own accord, without getting involved in every little thing it’s called “compassion” or outright hostility to the very idea of the existence of a Supreme Being.(More…)



Life’s Little Mysteries answers fascinating questions about the world around you and the stuff in it, from things in the news and on your mind to crazy questions you didn’t even know you had. [1]

Why do some people insist religion and science cant coexist? Religion explains the bigger question of why; evolution answers what happened. [2] There is clearly many more than a mere ten questions that “science cannot answer”. [2] To answer the question “To be or not to be?’ we cannot turn to a science textbook. [3] Science can certainly give meaningful answers to certain types of questions. [2]

Does religion answer any questions?Of course some claim that religion is a basis for love, morality and so on. [2]

There’s lots of things that go on, and often that stuff is more important than necessarily getting the technically most accurate answer, and so something like a logistic regression, it’s really great because it’s really easy to understand what’s important, it’s easy to explain to other people what’s going on, and having things not be a black box is often really useful. [4] The answers to these questions depend entirely on how you define these things. [5]

There are many ways small things can take away your daily power, but it doesn?t have to be that way. [6] It’s so easy to give away your daily power to something that doesn?t even matter so don?t allow little things to stop you from making big moves. [6] Without some more specific information as to what part of the play this question is referring to, the answer could be drastically different. [7] The study of exoplanets – planets that lie outside our solar system – could help scientists answer big questions about our place in the universe, and whether life exists beyond Earth. [8] It allowed scientists to both articulate causal questions and answer them. [9] You would have found the answer to any of those questions if you had ever bothered to read the Bible. [10]

Religion has decided on a singular answer, and any evidence that is presented that the world at large says contradicts that answer, they either find ways to fit it in to keep the answer intact, or completely discard it as a ‘lie’ created for the sole purpose of discrediting their precious answer. [10] This one, at least, probably has an answer on the show: in season 2’s fifth episode, “Akane No Mai,” Delos Head of Operations Karl Strand is told that a third of the floating hosts have been wiped clean of data. [11] The difference is that the scientific community is willing to admit that, and continues to look for answers. [10] When asked what his religious beliefs were Einstein gave evasive answers. [10]

If you can’t remember everything don’t worry (e.g. answer questions like “Where should I rest my attention?” , “What should I be aware of there?” ,”What should I do when the mind wanders?” , “What’s a good attitude to have about ‘obstacles’ in my meditation?”). [12] Whereas we love it, probably because I don’t like to speak for you, but I think maybe you’ll agree that we love it because you don’t have to memorize anything, because it’s all about understanding, and that there isn’t a right answer. [13] EUGENIA CHENG: Whereas, if we think of it as getting to the heart of matters and being able to understand the world around us more, not just what’s the answer to this, but in what sense is this an answer, and in what sense is this a possible answer, and that to me is what math is really about and why it’s so brilliant and important. [13] Jonathan: Yeah, and oftentimes, when you hire people are good at the communicating and good at more than just purely getting an optimal answer to a textbook’s math problem, you’re gonna get more different perspectives, you’re gonna get more viewpoints, you’ll have a more diverse team, and it just ends up being much more successful than hiring around technically who has the technically best technical skills. [4] One is kind of a cop out, and the kind of a cop out answer is hire people who are good at the stuff in the first place. [4] Hugo: I think what you referred to as the cop out answer actually plays into that a great deal, because if you hire people who are good at working with other people, you can trust everybody as much as possible. [4] I’m gonna say PowerPoint presentation, but I feel like that’s a controversial answer, but I actually feel really strongly about this. [4] That’s the kind of cop out answer, because most of us don’t actually have the ability to choose who’s hired, so a more practical answer. [4]

Would a machine achieve sentience when it is able to internally ponder rather than mindlessly churn inputs and outputs? Or is would it truly need that internal something before we as a society consider machines to be conscious? Again, the answer is muddled by the way we choose to approach the question and the specific definitions at which we arrive. [5] The question is “what is the actual practical way of dealing with this?”, so I have two answers to that. [4] The math that tends to get taught in school is more about, answer this question. [13]

EUGENIA CHENG: I’d just like to say, I’d like to add, that there are wrong answers. [13] Everyone hates it because they think it’s about memorizing and about formulae and about getting the right answer. [13] IRA FLATOW: It’s the second time you’ve said that, in mathematics, that there is no right or wrong answer. [13]

She suggests that the answer won?t be piecing together algorithms, as we often do to solve complex problems with artificial intelligence. [5]

Momentum isn?t the only science at work in our daily lives. [14] After 15 minutes, you then realize, “Where did the time go?” If you let daily distractions get the best of you, it will snowball into an unproductive day. [6] He clocks in gym time, runs at least five kilometers daily, and also practices yoga. [6]

“Actually, it’s in my pocket,” says Chris Dummer, a manager at a Nashville deli, pulling out a container on his keyring that holds his daily dose. [15] A simple daily practice of reflecting on the parts of your job you are grateful for has been proven to positively impact your productivity, goal achievement, decision-making and networking skills. [6] The health benefits of a daily gratitude journal have been proven to decrease depression and anxiety, as well as improve cardiovascular function in heart patients. [6]

Each distraction takes away a little bit of your daily power, and eventually, you become numb to your intention of proactively having an awesome day. [6] Your day will be more productive and your daily power will be infinite. [6]

There is day and night and sleep and wake and all matters of cycles in between that govern our daily lives. [16] Take a step towards making calmness, inner peace, and spiritual progress a part of your daily life. [17]

Each day, Alexa will feature a new question that kids frequently ask, such as, “Are yawns contagious?” or, “What causes a Charley horse?” The assistant will then answer the query in a way that’s fun and easy for kids to understand. [18] Each day, you’ll get a new “Harry Potter” fact (such as an “On this day” factoid from the Hogwarts universe or a lesson in an obscure spell) and answer a trivia question. [18]

We focus on providing answers to questions about the Bible–particularly the book of Genesis–regarding key issues such as creation, evolution, science, and the age of the earth. [19] The program can then use these connections to pose clarifying questions, eventually arriving at an answer. [20] Kids ask a lot of questions, and parents don’t always know the answers. [18] For 20Q, playing equals learning, as it develops “synaptic connections” whenever it receives answers to questions. [20] Polygraphy (“lie detectors”) – an interrogation method which measures and records several physiological indices such as blood pressure, pulse, respiration, and skin conductivity while the subject is asked and answers a series of questions. [21]

It’s able to reinforce connections by playing games over and over with different people, gradually learning which answers are correct and which aren’t. (Thus it’s difficult to “poison” the system by purposely giving it wrong answers.) [20] How does this 20Q device work? The short answer is “artificial intelligence.” [20] To answer them, Liu tried to identify proteins in the brain that underlie sleep need, and learn how those proteins are regulated. [22]


None of these made me question the existence of God, as they are either examples of the fact that God wants us to help others of our own accord, without getting involved in every little thing it’s called “compassion” or outright hostility to the very idea of the existence of a Supreme Being. [10] The question asked is why he can heal the sick and other examples that are ambiguous and explainable by other factors, but something as stark as regrowing limbs (for the same reason, and to accomplish the same thing) is too vulgar a display of power. [10] Really have them get to know the problems and the people and what’s going on there, but that being said, make sure that all the data scientists culturally feel like they’re connected together, so have even small things, like team lunches, and quarterly outings where we talk about our career goals, and things like that that get them to feel like they are part of the data science team. [4]

All these things that are continuously running, that’s really the machine learning part of data science, and each one of these fields is different, and each one is important, and I think for different verticals and industries, they’ve progressed differently along each one of those. [4] I’d say, “Hey, we can use data science here at this company to try and predict which customers are gonna churn, and we can use the customers’ transactions, and we can use when they called the call center, and we can put all these things in, and make a machine learning model, and guess which customers will churn,” and I come up with this idea, and people would say, “Okay, great. [4] When you pivot from thinking about delivering a model to an idea, then a lot of things come into more focus, right? Just like we were talking about before, you know, how do you give the right presentation to convey that idea? How do you get people convinced that you are a trustworthy person, that your ideas are sound? There are lots of things that come into convincing someone of something, and it’s more than just a single model that does that. [4] Jonathan: Yeah, so this post was really kind of a culmination of a thing that’s been happening a lot in my career, which was I would be given, or I would have some new idea for a project, right? Maybe it’s trying to predict which customers are likely to churn at a company. [4] Jonathan: Yeah, and that’s really from my personal experience, is that if there’s some relationship, you know, if it turns out that transactions can help you predict churn, then trying even a linear regression will pick up some sort of correlation, you know? You’ll get some sort of success, and then you can try using better techniques, and choosing better features, and you can do a lot of things to improve it, but usually the very simple approach will still work. [4]

They’re like, “Oh wow, that would have been great over here,” and you build those bridges, and you get things continuing to work together, and that kind of cultural cohesion is really valuable, especially to your point of keeping the knowledge around. [4] If you think about the kinds of mathematicians who are portrayed in popular movies like A Beautiful Mind or The Imitation Game or something, it’s always the same kind of thing: It’s some older white guy who’s a bit strange who can’t make eye contact and he doesn’t like talking to people. [13] Jonathan: Yeah, I saw that there’s this discussion people have been having online around those like “This is what a data scientist looks like” infographic that has a hundred thing listed that the person knows, and it’s like, no, any one data scientist maybe knows four of those, and that’s plenty. [4] IRA FLATOW: That’s what they look like, a big green sort of Christmas wreathy-looking thing with stuff circling it. [13] If we can find the thing that reminds us of them, then we can understand more things at the same time, which is really good if you’re lazy like me, because I’m really lazy. [13] When the engineering people who you’re working with are telling you they can’t do a thing, it’s not because they’re malicious or don’t like you or don’t respect you, it’s because they are trying to do what they think is best, and the same with marketing, and the business teams, and so the more you trust other people to make good decisions, I find the better things go. [4] I think this comes from this thing I’ve been thinking about a lot, which is this notion that machine learning models very rarely will pick up something that a human couldn’t detect themselves, and so what do I mean by that? I mean that if you took customer data, you know, if you took a bunch of history of transactions, and you said, “I’m gonna personally take a guess if this customer, number 27, if they will churn or not.” [4] Jonathan: Yeah, and I think, if you go and sample a hundred random blog posts about data science, I’m pretty sure that at least 95 would be talking about how great data science is, and how it’s gonna change the world, and cure cancer, and you can use data to improve your company, and data’s the new oil, and there are all these optimistic things. [4] Jonathan: Yeah, and I think that’s a thing that is often undervalued. [4] Jonathan: Yeah, and I really love that question, because it gets to the thing. [4] You know, can you really model how people are going to behave if a certain thing happens? Can you sort of determine how or when a riot might break out? But people are actually using mathematics to actually determine how people are going to behave. [13] “The more you get to know people from other places, you understand that some of the things that you really care about, your family, are intrinsically important to people around the world.” [23] These are actually two totally different ways of organizing, and they can have really different results, so thinking about what’s the right way to do it for your company is difficult to do, especially because often data science grows organically, and so to be able to coordinate hiring and distribution is just not an easy thing to do. [4] It may catch the edge cases, right? Your linear and logistic regressions, they may not be able to notice all the different possible rules and things like that, but they can pick up on the base idea of what’s going on, and so if they can’t pick up on anything, then it is very unlikely that by putting in a super hard algorithm, you’re actually gonna get a huge success. [4] Like, the tests were really complex things, right? They’re like, the app must feel responsive, and it must have no grammatical errors, and things like that, and things you would never be able to tell just by looking at telemetry. [4] Right now I’m helping T-Mobile looking into growing their AI, and how can you use AI and natural language processing within call centers, and things like that, and really growing that space up there. [4] For some companies, one approach works, and for some it’s really about being distributed, and things like that. [4] You’re doing all these things that no one has actually tried before, and so naturally it makes sense that most of the time, it doesn’t work. [4] Hugo: The other thing of course is, and I think you’ve written about it, if I recall correctly, is even a data scientist needs to be able to choose their meeting times correctly. [4] You feel tired, you don?t have time for self-reflection, there’s just so many things that need to be done. [6] You may have more important things to accomplish and you honestly need that time to focus. [6] “This is particularly important for reestablishing what might have been disruptions to attachment,” he says, “the kinds of everyday things that we take for granted, but which were interrupted and completely absent during this time, which are bedtime routines, or feeding routines, or play routines.” [23] I had no idea what kind of things you could do with a math degree or anything like that. [4] So it looks at the structures of math and says, oh, wait, this thing over here kind of reminds me a bit of that thing over there. [13] Let’s look at a slide of an example of the kinds of things that you’re doing. [13] As a human, if you couldn’t look at the telemetry and tell if it would pass or not, there’d have been no way, or it’s very unlikely that a machine learning algorithm is gonna suddenly detect a thing that you wouldn’t have noticed, either. [4] Like with so many things, much of the debate over what would make a machine conscious comes down to what of ourselves we project onto the algorithms. [5]

In the long term, much will need to be done to help these children shed the sense of guilt and shame that can come from being held against their will, says Satsuki Ina, a therapist who was born in a prison camp for Japanese-Americans during World War II. “If there is acknowledgment that the child is not at fault,” she says, “that this was a terrible thing that had happened to them, the empathy for the child is going to be an important part of their healing.” [23] This is, beyond doubt, the first thing you need to tell yourself every single day. [6] “There’s a building sense of foreboding about a “Ground Hog Day the Movie? scenario where we have a summit with allies that goes terribly wrong, and then a summit with an adversary that goes swimmingly well – and that this is the way things are going to be under this president,” says Heather Conley, director of the Europe program at the Center for Strategic and International Studies in Washington. [23] It’s going to be about things that are amazing in ways we maybe don’t notice, until we think about it a bit harder. [13] Eugenia Cheng: There’s other math which I think and I both are interested in which is not so much about solving specific problems as uncovering truths inside things. [13] I’m going to talk to you about one of my favorite things, which is the connection between math and anything, really. [13] Those things can be really helpful to an organization and a data science team, but isn’t something that everyone always does. [4] For me, I’ve found that the most effective thing is really just trusting that everyone you’re working with is trying to do what they believe is in the group’s best interest. [4]

As we compose new code that will make machines do things tomorrow that we couldn?t imagine yesterday, we still need to sort out where we want it all to lead. [5]

Why people believe weird things: pseudoscience, superstition, and other confusions of our time. [21] Many people who have failed at suicide go on to realize wonderful productive lives where they complete the lessons in life they were suppose to, where they in retrospect can now look back and contemplate upon how they could have ever thought of doing such a thing. [16]

I can?t begin to unpack the madness, but it’s worth counting the bizarre things Trump said and did in such a short space of time. [24] Morphic resonance – The idea put forth by Rupert Sheldrake that “natural systems, such as termite colonies, or pigeons, or orchid plants, or insulin molecules, inherit a collective memory from all previous things of their kind”. [21]

RANKED SELECTED SOURCES(24 source documents arranged by frequency of occurrence in the above report)

1. (31) Organizing Data Science Teams (article) – DataCamp

2. (15) How Abstract Math Can Analyze Social Injustice

3. (11) Do You Live Life in the Present? 3 Things You Can Do to Be Present Every Day

4. (6) 26 Atheist Memes: Will You Reconsider the Value of Religion?

5. (5) Artificial Consciousness: How To Give A Robot A Soul

6. (4) 10 Questions that neither Science nor Religion can answer? – Quora

7. (4) How Electronic “20 Questions” Games Work | Mental Floss

8. (4) The Christian Science Monitor Daily for July 2, 2018

9. (3) Best Alexa Trivia Skills – Games, Quizzes and General Knowledge

10. (3) List of topics characterized as pseudoscience – Wikipedia

11. (2) Eight Reasons Why Suicide Is Not The Answer | Unariun Wisdom

12. (1) Life’s Little Mysteries – Answers to Things We All Wonder About

13. (1) The biggest questions left behind after “The Passenger,? season 2’s Westworld finale – The Verge

14. (1) Homework

15. (1) The science behind making a change that lasts | The JotForm Blog

16. (1) More Addiction Specialists Say Complete Abstinence Isn?t The Answer For Those Hooked On Opioids | Nashville Public Radio

17. (1) Your Spiritual Questions Answered Archive — Ananda

18. (1) Answers in Genesis

19. (1) What makes us sleepy? A new UT Southwestern study points to the answer | Science and Medicine | Dallas News

20. (1) Trump Is Making Us All Live in His Delusional Reality Show

21. (1) The Limits of Science–What Science Can and Cant Do. : Catholic Stand

22. (1) Homework Help Questions & Answers: Math, Science, Literature, History & More – eNotes.com

23. (1) NASA Uses Earth as Laboratory to Study Distant Worlds

24. (1) Professor Judea Pearl codes languages to challenge paradigms of computer science | Daily Bruin