ALGORITHMS TO LIVE BY by Brian Christian & Tom Griffiths | Core Message 

I got the point after watching 37% of this video.

4:06 So it ends up being interview them all & pick the best one. Love it

Thank you for the review! This video is awesome because now I know this book is not for me. Excellent work!

There's an 'algorithm' in the book which you didn't talk about: When to stop calling an old friend that constantly says he's busy. It suggests to just double the interval between requests. First, a week after another. After that, two weeks interval. After that, four week. And it goes on... Of course you naturally stops after a certain number. I actually liked that.

“Whenever you find yourself on the side of the majority, it is time to pause and reflect.” ― Mark Twain

This helps to explain why I never finished listening to the audiobook.

My brain: We haven't seen 37% of them yet. So let's just move on to the next one. My heart: Trust me. You love her.

a company using this method of hiring surely treats their employees more of a robot rather than a person but then using this in objectively looking at things is very good.

Damn.. that’s a whole new perspective to me! I am definitely reading this book later on in my career. Thanks

Loved the audiobook. Loved your video as well.

Wow! I've been following all of the videos on this channel up to date. This is THE FIRST video ever with which I can not agree. Since this was a first, I decided to check out the comments, too! To my surprise, most of you guys don't agree, either. Key Learning: Not all books are worth reading.

Awesome summary, thanks :)

The best channel in the world

The difficulty I find is justifying using algorithms which would ignore the organic nature of human character & capacity. This where numbers n spreadsheets fail to capture the human side of hiring, potential n productivity. Nonetheless, some use as a framework is plausible. Thnks for the summary.

I love how you bought this to iife in a comprehensive way.

By minute 3 I was convinced this was an April fools post

god know where do you get suggestions to read books like these .. simply amazing

Please do a video on “Beyond Training” by Ben Greenfield. Exercise, especially long cardio sessions, can be doing more harm than good to the body.

I think i always get caught in the 37% slot when giving job interview. I never seem to get selected.

What if you need to hire someone right away or your startup fails? What if when you fall in love with someone new they ALWAYS seem better than all the previous candidates? I feel like, for most cases, we have to account for so many of these rules-changing circumstances that the algorithms loose their value almost completely.

Setting aside the efficacy of the 37% rule, doesn't it just seem unethical? Bring in 7 candidates who you KNOW you won't hire? Just waste their time? Or in the case of the guy trying to find a wife, you just string girls along - knowing you're going to break up with them before even giving them a chance to prove themselves as a good partner? And on the effectiveness: what if the best candidate is one of the first seven? You'll interview the rest of the pool, and nobody will meet the criteria for selection because nobody will outperform the entire group of the first seven people.

Amazing Book Summary

I believe that applying algorithms on human beings as if they are simple data points is unethical. For any firm or person.

When I choose food I trust my gut. Zen algorithm .

Which software do you use for making videos?

Feel sorry for the first 7 who get the interview.

Greedy algorithms are ok for intra-machine and inter-machine processing, don't apply these heartless ways to deal with humans. Thanks for reviewing PG

Key points: (1) 37% rules: reject 37% you sample and pick the next best one (highest probability of the pick the best one) (2) Onboarding algorithm: giving their workload until they cannot deliver the best result (3) Switching algorithm (Gittin Index): trying new thing increases our chance of finding the best

Sounds good in theory, however in practice a coin flip would be just as reliable in choosing the "right" hire.

Guts versus Numbers. Instinct versus Intelligence.

Boyfriend says to his girlfriend: If you want to marry me, find me more girlfriends to prove you are the best. Lmao

Oh man I remember reading this book a long time ago.

The core message that I got from this presentation is that human potential can be measured with a formula. I disagree. Never mind the ethical factor alone. Practically speaking, you can observe a computer and calculate its future performance. But human beings are fickle, wonderful and unpredictable. For us, past performance does not guarantee future behavior. We are human that way.

I like these videos. I could have done without the anecdote on a guy using an algorithm to “pick” his wife. I’m sure she really appreciates it

I really love this book! Thanks for the summary!

More books for the backlog!

This is the first time I have been disappointed with a video on this channel

Didn't kno this is a book... I hit like just bcuz of title.. Great Topic!

This analysis created a new way of approaching loved it

The problem with the Gittins Index method for firing is that it is completely illegal to fire someone over 40 because it is a civil rights violation and actionable in court. I would love to argue against a defendant employer who used the Gittins index to fire his employees to a jury. I am a lawyer, but you should consult a labor attorney in your jurisdiction by contacting the state bar of your state and ask for the lawyer referral number.

Do you think she turned him down because he said something along the lines of "will you marry me because the algorithm suggests you are the optimal choice"

2:22 That's sound crazy 3:00 My god... you gotta be kidding me. That's acting like people are machines (in a way, they are, i get it) and life predictable, totally controlled. No surprise she dumped him.

if we buy the PDF package do we get the new ones when released?

We often commit mistakes in hiring. The superficial enthusiasm makes us temp to hire the candidate thinking he will do it while ignoring the other facts

Glad i dont read this book, thought it gonna help me with complex sequential decision making involving many objectives and constraints.

Now are we talking first dates?? You can't possibly learn enough about someone in one date so I'm unsure how going on 7 separate dates is getting you closer to finding the person of your dreams?? Also, what's the point of going out with someone you know even before going in that it's not going to work out?? Surely no one's that lonely and bored to just waste someone else's night like that. That's sad. This seems like the kind of dating advice that PHD students who haven't gotten laid in years give.

I kind of disagree with the second algorithm. However, it seems nice in the starting, it should increase the load using ratios only not by individual bits. Example: If my intern can handle 15 units of work in a unit time, I will increase it to 30. Then 60. But wait, he can't deal with 60. So, if I increase it by literal 1 unit increasing I am actually wasting my time on that intern too much. There it should not be increased by units, we must use ratio/fraction like we know that intern can not handle 200% so we will give him 130%, then 150% then 170% and if he fails we break down the work further. This might not be the best algorithm but is more effective on paper than the one in book.

Did you ever get copyright strike for anybof your videos

very ethical in all domains huh ?!?

I guess this assumes you have a large enough sample size.

"Always go with the choice that scares you the most, because that’s the one that is going to help you grow.” --Caroline Myss

now if you go to a job interview, make sure you don't belong in the 37 percent lmao

It's additive increasing why do you keep saying double the packets? It would have been called multiplicative increase multiplicative decrease if that was the case!

All of your videos were inspiring to some degree, some were great, some were mediocre, but this book seemed like a garbage to me (Computer Science Major, Psychology Minor)

Great Summary: I tried reading the book, but they spent so much time talking about the history of the problem I lost interest.

Don't interview me if you have no intention of hiring me.

The amount of Maths and technical stuff this video involves, I am scared already. 😰

I'm almost first I'm almost first! Sounds like an interesting book

Got this on audiobook . Don’t think I’ll listen

that's not how you hire people...

These algorithms are trash. Thanks for helping me to decide not to ever read this book

"A wise man makes his own decisions. An ignorant man follows public opinion.” --Chinese Proverb

sorry I take it back, all is ethical in capitalism

🧐🧐🧐

thank i god i havent read the book such semi baked synthtic ideas wont work in furious environment. i give 0 ratings for the book.

Stupid book, stupid algorithms