How to Use the Feynman Technique - Study Tips - How to Study

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Hello Socratica Friends! We're here to help you be a Great Student. One of the greatest students of all time was also one of the greatest teachers of all time - Richard Feynman. He was a Nobel-winning physicist, who was legendary for being able to reach even complete novices with his clear, jargon-free explanations. Feynman knew a lot about how to help students learn, because he himself was insatiably curious, and never stopped learning.
The Feynman Technique is named after this extraordinary thinker. It’s a way to test yourself as you study - do you REALLY understand something? Or are you just repeating what you read in a textbook or heard in class? This is one of the most important study tips to learn about being a great student, whether you are in high school, college, grad school, or you are learning on your own.
After you watch the video, try our Feynman Technique Challenge - pick something complicated you are studying, and try to explain it to us in the comments. USE THE FEYNMAN TECHNIQUE! Are you a great explainer?
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Great Student: Liliana De Castro
Written and Produced by Kimberly Hatch Harrison
#StudyTips #Feynman #FeynmanTechnique
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[@Socratica]

The perfect present for students is here! 𝙃𝙤𝙬 𝙩𝙤 𝘽𝙚 𝙖 𝙂𝙧𝙚𝙖𝙩 𝙎𝙩𝙪𝙙𝙚𝙣𝙩 ebook: amzn.to/2Lh3XSP Paperback: amzn.to/3t5jeH3 or read for free when you sign up for Kindle Unlimited: amzn.to/3atr8TJ

[@josephjose7373]

Did you just use the feynman technique to explain feynman technique? 🤔

[@polarbear242]

Feymanception! =O

[@sigourospapadatos1836]

Inception

[@syror5000]

Joseph Jose just used feynma technique to explain hes comment? :O ohno

[@Dazzletoad]

Joseph Jose lmao

[@chelseachandler8588]

Truu

[@filipve73]

The Feynman Student? 1) be curious about everything, 2) have a imagination like child, 3) never stop asking questions, 4) let your teacher be your entertainer

[@iLoveTurtlesHaha]

Growing up, if I did that, I'd get beaten by said teachers. They really did scar me for life. Now that I'm in my 30's I still get really scared to talk to teachers or even ask for clarification. I still think they will either make fun of me or beat the crap out of me. Going back to university, even at this age, is torture ATM.

[@sirknight4981]

What kind of teachers did you have?

[@LisaB_12204]

Dear friend, I am SO sorry your teachers treated you that way. Please know if you are studying in the USA good teachers welcome questions. Good luck.

[@my_studies2888]

Sir Knight that’s how it was in some countries, my own mother got beaten by her teacher once.

[@gf6368]

you can only get so far with this mindset when your in the wrong environment

[@papillonvu]

Came to learn about the Feynman Technique. Stayed to learn about a host of other subjects in the comments!

[@SantiagoRK96]

I am not a native English speaker and I was trying to learn what "Jargon" means and being able to explain it succintly. Here I go: Jargon is a term that refers to words that are used in specific professions, groups, or in any specific _context_ that if people don't know, then they wouldn't understand. For example, if a musician uses a term like "minor chord" to a non-musician, then this person wouldn't get what they are talking about, unless the musician explains it. That applies to any other terms in any other professions or specific contexts. I hope that was simple enough! Thanks Socratica for the very informative video. It was helpful. I do wonder how we can use this method when studying or teaching mathematics. I think math is a very abstract subject, unlike history, english, etc. Any tips?

[@amirhosseinahmadi3706]

That was honestly a very good explanation! I'm also not a native English speaker, but I really understand the meaning of "jargon" by reading your explanation. Thanks!

[@manuelmigoya2109]

In my experience as student, it helps when math problems are somehow connected to reality. By this I mean subjects like physics that you can think about, draw and sometimes see the application of the problem you are working in. But even if you can't, it always helped when the teacher explained the purpose of a problem, like how could it be used by someone to achieve something.

[@rinopw4262]

So basically jargon is just terminology?

[@richardneel6953]

Your English is excellent.

[@lizrdlizrd]

Manuel Migoya, I totally agree. I tutor math all the time and I use specific examples to make the student realize they can do the math. For instance, how many student tell you they can't do percentages? But when I ask them to envision themselves in a store about to buy a new "hot" item and it's 20% off, they always seem to know how to do that haha. From there I have their attention and they have a new found confidence in themselves. Nice to know I've been using the Feynman method for years and didn't realize it. Thanks Socratica. btw, I just explained group isomophisms to my husband using two groups. One with cats and one with dogs :) Just so he'd have an idea of what I was studying.

[@MiguelAPerez]

I'm a Patent Attorney and teach the subject both to engineering and law students. Let me try to explain you about novelty. There are three characteristics your invention must have to be patentable: (1) It has to be new, (2) you must have taken an inventive step, and (3) it must have an industrial application. Let's review novelty, how we define the invention to be new. Different people have different standards to define "new". If I bought a car a month ago my friend may say I have a new car, while a potential buyer may say it's not. Inventions are new until you tell someone about it. In Europe the rule is that once people know about your invention is not new and you can't patent it. You have to file your patent application and then tell people about it. In the United States an invention is new for up to one year after you tell people about it. Once you reveal the invention you have twelve months to file the application. However, you must be swift, because if someone beats you to file it first, they will get the patent and you won't. So always remember to patent first and tell later.

[@bobcrunch]

Miguel -> You forgot one important detail. Keep a lab notebook with bound and pre-printed page numbers. Date and sign every page after it is filled. Have the pages witnessed periodically by someone with sufficient knowledge to understand them. Even document failures. The inventors case is much better if he/she can demonstrate diligence. The importance of this is illustrated in the Marconi-Tesla litigation where Tesla was awarded all the patents for radio. Tesla's notes showed that he not only had the original ideas, but he had first reduced them to practice. Even though Marconi applied first, it was clear that Tesla first had the ideas and showed reduction to practice.

[@MiguelAPerez]

Bob Crunch I didn't forget. ;-) The US switched from a "first-to-invent" system to a "first-to-file" system on March 16, 2013. With this new system the person who gets the patent is the first one to file the application before the Patent Office, not the first one to invent. Now, don't get me wrong: It is good practice to keep all your logs. In case someone steals your information and files first a patent application we could fight it with trade secret provisions, but if they didn't steal it, then you lost your patent for talking too much. Check out these resources: www.uspto.gov/patent/first-inventor-file-fitf-resources

[@bobcrunch]

I agree that this changes the burden of proof, but never underestimate the skill of a good lawyer to get around this.

[@iLoveTurtlesHaha]

Right now Apple is laughing at these three characteristics.

[@kevinmathewson4272]

That was well explained!

[@richardross7219]

My freshman psychology professor summed teaching up very well: "if you can't explain it to a seven year old, you don't really don't understand it yourself". That was 50 years ago and I always remembered it when preparing to teach. Very good video. Good Luck, Rick

[@corbinbishop7097]

I swear I've been using this my entire life without knowing. I always love to share what I learn, but I realize that is has to be understandable for the people I'm talking to, so I try so simplify as much as possible. I really do enjoy learning.

[@anonymouse7095]

As a Brazilian jiujitsu practitioner, I can tell you that this works very well as applied to that martial art. Anytime you have to teach techniques or concepts, you must be able to explain them in a simple and concise manner. Teaching is one of the best ways to make sure you really know the movement.

[@teachereduardo2439]

👏🏼 congrats! Do you speak English? You can talk to me in case you need to practice. I’m also Brazilian. English teacher.

[@thinkrajat]

I am learning about First law of Thermodynamics. The way to understand is using an analogy between the system and a bank. System = Bank Internal Energy = money (bank balance) Heat = cash Work = Check (Cheque) So if there is Heat (Cash) given to the system (bank) then the Energy(money) of the system increases i.e,. its Positive if there is Work (Check) given to the system (bank) then the Energy (money) of the system increases i.e,. its Positive All the cash coming in + All the check coming in = change in bank balance. q + w = Change in internal energy.

[@siddiquiabr]

Good explanation

[@shalabhsingh5007]

I will try to explain one of the most complicated subjects in Computer science- Machine Learning (Also called artificial intelligence (AI) by layman, although it is different)- A programming language is a language used to give instructions to a computer. These set of instructions is called code. A code takes some input, performs the set of instructions defined in the code to get an output. However in real world processes, the input is given, the output obtained is observed, but the code/logic is unknown. Machine Learning is the science of deriving the logic from the data of input and output observations. To derive the logic, certain mechanisms are used which are called machine learning algorithms. Each machine learning algorithm has 3 components- a set of unknown parameters, a loss and an optimizer. Let's pick them up one by one. The machine learning algorithm specifies a well defined set of operations on the input variables and the unknown parameters to get an output prediction. This output prediction is different from the actual output. This difference is called loss. Our aim is to decrease the loss by changing the parameters. The optimizer calculates the impact of changing the parameters on decreasing the loss. Accordingly each parameter is tweaked by optimizer to decrease the loss. This process is repeated with more data until the loss is sufficiently decreased. This means that the output prediction and actual output are very close now (as the loss is decreased). This means that the machine learning algorithm can now generate accurate output predictions from input data and hence the code/logic has been derived. I hope that I was able to teach something today. :)

[@reyesandres9887]

Wow nice that's very helpful.

[@lllCockroachlll]

I'll try. I'm studying applicatives in languages. An applicative is a particular kind of sentence; not all languages have it, but English does, as in "John gave Mary the book". You can compare it to the non applicative version: "John gave the book to Mary". In an applicative, a person or thing (in this case, "Mary") can be introduced without the particle "to". In general, an applicative sentence is one in which particles such as "to", "for", "with", and so on, can be omitted. English can't omit the particle "with" (it's not possible to say "John cut the knife the cake"), but other languages can!

[@lllCockroachlll]

Now that I think about it, it's more difficult to explain it in my native language, Spanish, since Spanish doesn't have applicative sentences at all!

[@Light-vu6ws]

lllCockroachlll Simple explanation. Good job to you ;)

[@paulkirby6287]

Are all sentences either applicative or non-applicative (or are these two terms only used to describe some types of sentences)?

[@lllCockroachlll]

It's more useful to make the distinction just between sentences of the type "X verb Y to Z" (or another particle, not just "to"), which is not an applicative sentence, and sentences of the type "X verb Z Y", which is an applicative sentence. (For reasons not relevant now, both are called ditransitive sentences). Thus you can say, for instance, that English has both kinds of sentences, while Spanish doesn't have applicative sentences (they only have sentences of the first kind), and a language like Asháninka (in Peru) doesn't have non-applicative sentences -they have sentences of the applicative kind, but not the other.

[@lllCockroachlll]

@Light Thank you!

[@BinuJasim]

Why Feynman is such a joy to watch? Because he smiles a lot.

[@Socratica]

He really did seem to love life. :)

[@bkramzi6915]

I experienced such a technique while posting questions on forums. Actually the rule in different forums is that the user should explain his problem so that others can help. So while i was trying to explain my problems, i the field of informatics, i found that most of the time i canceled posting the question because i started to understand the problem in a better way and found a solution or something that helps to resolve the problem. I was amazed by this effect and now everytime i face a problem i try to explain it in a text editor before positing my quesitons. I also find that it is helpful to try explaining what you learned to other persons who don't know you field, that way they can ask you questions that can help you find your weaknessed an push you to improve your understant until you can explain it in a perfect way to other and to yourself. Thanks Socratia and i love science and the presenter (you make me think of Galactica the movie like a futuristic women who works in a space ship).

[@EtherTheReal]

BK Ramzi yh i can really relate to that, as soon as i start to phrase and ask my prof. my question is almost solved 😂😂

[@jthomas3584]

haha yep, happens to me all the time on stackoverflow too, very few questions actually make it onto the site :P

[@juanmacias5922]

This is what we programmers call "rubber ducking" or "rubber duck debugging", explain your problem to a rubber duck, and usually as you simplify, you narrow down the solution. :)

[@oliverbock4838]

I'm studying about protein secondary structure prediction using the Chou Fasman algorithm. When amino acids are combined, and here you can imagine them as Lego blocks, they form other even bigger structures. Each amino acid has a part where another amino can can dock onto for this at a specific angle called the torsion angle. Now in order to predict the bigger structures we can look at the types of amino acids we are using. Because it has been found that certain amino acids appear more often with others in certain structures. For Chou Fasman III we want to predict whether the structure is a alpha helix or beta folding sheet. So we would count how often each of he certain amino acids appear. AND HERE I NEED TO GET BACK TO THE REVIEW STEP :p

[@mixbaal0]

As an engineering student 35 years ago I decided to read books written in english . I was able then to speak and write some english sentences not enough to read a book, I am afraid. Then I found in a bookstore a bilingual edition of these famous Feynman Lectures. I bought them I read them in english and spanish at the same time. Step by step I read less and less in spanish until finally reading the english text was enough to get the ideas. Now I can say that english is my second language. I am in perpetual debt with this genious, this wonderful human being. He took my hand and guided me in this journey. Thank you Richard Feynman wherever you are. Thank you so much!

[@Socratica]

What an amazing way to learn English! Thank you for sharing your story. 💜🦉

[@allenng2348]

The real Feynman technique for problem solving: - write down the problem - think really hard - write down the answer

[@Socratica]

Welcome to Socratica! We make SMART videos focusing on STEM - science, math, programming. Subscribe here: bit.ly/SocraticaSubscribe Our study tips playlist is here: bit.ly/StudyTipsPlaylist Python programming: bit.ly/PythonSocratica SQL programming: bit.ly/SQL_Socratica Chemistry: bit.ly/Chemistry_Playlist Abstract Algebra: bit.ly/AbstractAlgebra Astronomy: bit.ly/AstronomySocratica Biology: bit.ly/BiologySocratica Calculus: bit.ly/CalculusSocratica

[@francis2k488]

I love that

[@nac9880]

You are awesome!!1!

[@braincandytv]

Great video, Socratica. Feynman was an excellent teacher, for sure. I hope to use his methods to explain complex science to early elementary children in some of my upcoming videos. I hope I can break things down as simply and concisely as Feynman could. Cheers, Michael from Brain Candy TV

[@pecm]

Brain Candy TV *The* vsauce Michael? :-)

[@akshaykupnur1218]

Hello Michael!!! Big fan of your explanation!!

[@gyromancer9256]

Brain Candy TV i

[@mohdil123]

You got my heart when you said “ first principles “ ❤️

[@TorBruheim]

This is absolutely true. I have used this technique for years (Math and Data), and I thought I was crazy when I listening to my self teaching myself in a one student classroom. I still remember stuff 20 years old, even I i have not used the topic.

[@spencerpanes8748]

Feynman and Sagan are the two of my favorite teachers... When they speak even without any techniques, you'll just be automatically be inclined to pay attention to them because they are such a sincere and inspiring communicators.

[@Omnifarious0]

I'm also really good at explaining things to people. And I've found that figuring out how to explain something to someone who isn't conversant in the topic is a fantastic way of deepening my understanding.

[@michaelkirwan177]

While recently immersing myself in the study of typewriter operation in order to repair them as a hobby I became subtly aware of their reasonable design features. Specifically in the older mechanical, or manual typewriters I began to realize how the mechanisms relate in a sort of concert, or spatial orchestration. Simple put the parts appear to act in a smooth harmony when properly adjusted much the same as a professional orchestra. The more 'fluid' the parts interrelationships the more user-friendly the end result for the typer. By fragmenting the various components duties into bite-size blocks of understanding the whole soon materializes and the more nuanced interactions tend to blend in a manner identical to musical interpretation. Feynman's approach is applicable to almost anything with a structure and even the humble typewriter is no exception. Have been using this self-teaching technique to help me assimilate a variety of disciplines for many years and this man had it down to a T. Like Hoccam's Razor it is quite an elegant approach to learning. Mike Kirwan - Kenmore, WA

[@DartmouthTube]

I'm learning to love again... I mean loving to learn again. I'm loving the eloquence, brevity, levity, meaningfulness and mindfulness. Thank you for these superb videos!

[@lapieuvreee]

As the French Nicolas Boileau-Despréaux said in the early 17th century : "Ce qui se conçoit bien s'énonce clairement et les mots pour le dire arrivent aisément." "What is well conceived is clearly stated and the words to say it arrive easily" It is probably a proto version of the this technic.

[@abinair149]

Stumbled across this Gem of a channel just recently.. Instantly hooked.

[@farukabdullamunshi8358]

Thanks a lot, Socratica!!! This video is really helpful.

[@tanzeelamariam1356]

I always try to explain what I learned in class to my mom and. check if she really understood it because only then I be sure that I understand the topic pretty well.

[@rameshhansaravendra]

tanzeela mariam . hi, where are you from?

[@tanzeelamariam1356]

Bangladesh.😊

[@dewanfariharamisa5664]

tanzeela mariam lol me too. hi tanzeela!

[@AzwadAbid]

Bangladesh 👍

[@rameshhansaravendra]

tanzeela mariam . How do I add you as friend?

[@vizmohanan]

The voice recording is just perfect which makes the video pleasing to watch . And you explained the topic very well too. :)

[@orchestrain88keys]

Thanks for the video. I have deep respect for Richard Feynman.

[@Theosis78]

Really beautiful introduction to the Feynman method! Thank you.

[@AnkitKumawat-ce6ut]

Great Socratica. Thanx for explaining to us this amazingly simple technique.

[@cbs2157]

Caramba, Liliana, você é tão inteligente! O canal é muito bem produzido, coisa de dar orgulho. Quero ajudar o trabalho de vocês a crescer de todas as formas possíveis. ❤️

[@metaleirosincero6317]

cbs Desconfiei q era ela kk vc acha q a pessoa tá esquecida e aí se depara com isso

[@DaniloMisuradeOliveira]

Quem é Liliana??

[@LouchanArt]

@@DaniloMisuradeOliveira Deve ser a moça do Socratica que explicou este vídeo '-'

[@junka22]

Feynman was a fine man!

[@rizandro]

Wonderful video! Well explained and a good 5 minutes!

[@alexanderpetrenko9576]

I just love Socratica! You do a great job!

[@erictko85]

You're an excellent teacher! Thanks for the videos.

[@DouglasTimes]

Partial Differential Equations covers the way functions change with respect to different variables. Think of walking up and down a random hill. If you walk straight to the summit you will get tired much more quickly than if you walk along its side. The way you experience the change in height depends on the direction you walk.

[@jamesgreen2058]

Excellent description of the definition of partial diff equations.

[@Tterragyello]

This is the first Socratica video I've seen. Very well delivered and interesting. I have done Feynman technique before and still do. However, for more complicated subjects I usually draw out a flow chart for the topic while reading and make simple descriptions from there. Just an additional step to learn more, faster. P.S. I'd like you to know you have a beautiful way of speaking. If I was in person I'd ask to buy you a drink and chat for a while.

[@akivarube893]

not so subtle reference to one of Feynmans books at the end. nice.

[@davidr.flores2043]

Woow again. It is difficult to not be amazed at how much you have to share and teach me. Muchas Gracias!!!

[@MandhanAcademy]

U r great explainer..... 1Million likes for u.

[@yuvrajdeval1919]

Hello sir how are you

[@AnthonyFrancisJones]

Interesting - you may have seen that wonderful interview with RF when asked why do magnets attract and Feynman beautifully explains to him that he cannot explain it as the concepts are too difficult and rely on too much prior knowledge!

[@gmoneybags01]

Best video about the subject, thank you!

[@alij7232]

you do an excellent job of explaining richard feynman.

[@alonsogalindo7934]

Hi there! Ok I would like to try the Explaining challenge. I Study Biology and I initially had a hard time understanding the "syrinx", its function and why it was so important in Birds. So here I go: The Syrinx is an organ that is responsible of producing the sound in most living birds. It is placed in the respiratory system right before the tubes that divide the air into the Lungs. When air is breathed by a bird, it gets in by the nostrils that usually are in the base of the bill, from there it travels through a pair of small tubes (called Nasal Cavities) until it gets to a big space that we could call "mouth" (or Oral Cavity) so far quite similar as we Humans. From there it goes down another tube that is at the back of the tongue that has specifically evolved for air flow (Pharynx), careful not be confused with the other tube that is meant for food (Esophagus) because both of them can cross at this stage. The air continues to flow down until gets to a thickened part of this tube called the Larynx. Here in Humans and in most mammals is where we have our vocal cords! These are our muscles that allow us to speech, but for birds there is no Vocal Cords at all, so let’s continue! The tube starts to thicken even more and starts to have some sort of even spaced lighter coloured rings around it, in here we are in the Windpipe (or Trachea). A little further down this path we see the tube splits in two, each of these tubes (called bronchi) will lead to the lungs respectively. It's here where we found some sort of special rings in the exterior of the tube and a lot of muscles at the both entrances that can open and close each tube thus controlling the air flow. Here we are! This is where the Syrinx is! This is structure has so much importance in the study of Birds because between all the bird species in the world, a huge chuck of them doesn’t have it. The birds that have this "Syrinx" are a group of Birds typically called "Songbirds" (Passeriformes), while all the other birds don’t have this structure and thus classified differently (No Passeriformes). It's a natural way to dive the species and in fact, this reflects part of their distinct evolutionary history. PS: [Sorry didn't meant to extend this much. I Love your Videos Socratica, Thank you!!]

[@Socratica]

Thank you for sharing - we learned a lot today!! 💜🦉

[@alonsogalindo7934]

@@Socratica You're more than Welcome!! I'm so glad you learned! 😁 Definetly this technique helps a lot to improve your understanding. 🐦

[@QuizmasterLaw]

Tuvan throat singing aka overtone singing is a form of self-harmonization is very beautiful and apparently brought me here. The rest of this is stuff I already knew as well.

[@ravindertalwar553]

WONDERFUL PRESENTATION AND ALL THE BEST WISHES AND BLESSINGS

[@gauravsinha6060]

This channel is "The Great Explainer". I love this channel. Thank you for all your great videos.

[@explorer_33]

Socratia thanks for explaining this techniques🙌🙌

[@dudleybarker2273]

okay, let's give basic music theory a bash: C is the 'home' key. C D E F G A B C each note has a roman numeral connected to it, I II III IV V VI VII and back to I - one, two, three (do, re, mi etc). C is called the root, or the tonic (from 'tone'). C and G sound well together, so we call the 1st and the 5th (I and V [the one and the five]), a 'perfect' fifth (they are five notes apart, count them on your fingers). the next key up is always taken from the fifth (V), of the previous key, so the key up from C is G. the next important rule is that from G on up, the 7th note (VII), is sharpened (raised one semi-tone): G A B C D E F# G - the F is sharpened (raised one tone). the next key up is... D. carry the F# along with you and start again, D E F# G A# B C D - the F and the A are sharpened. see the pattern forming? (this formula applies to all keys) this is known as the Circle of Fifths. good luck. you're now well on your way to allowing music to frustrate and enlighten you for the rest of your life. (side effects may include improved memory, reduced stress and unprovoked bouts of joy.)

[@hellfirelordofevil]

Your videos are some of the finest educational content on the internet, Bravo!

[@alburnto]

This year, I've started studying web application programming. I find myself astonished when trying to understand computers, they are really complex and marvelous to me. You can always go deeper, deeper, deeper... I think the bottom is physics. Physics (behaviour of electricity, what electricity is, electronics...) -> Chemistry (the materials of the computer itself and how they manage electricity) -> Maths and logic (how to harness that electricity to represent information) -> *magic* -> Computers. Damn! Hahaha. Thank you, Socratica.

[@Ensivion]

The difference between a 'while' loop and a 'for' loop in python programming is very simple and often times both types can work. The 'for' loop in python does its task on all the elements of a list. Take for example, you have a long list of student's names and you want to find which students have a name certain name. With this search, you have the list and you're iterating all the way through it, testing each element, a 'for' loop is effective here. The 'while' loop in python will keep doing the same task until some condition is made. For example, a while loop is used if you want to add up all the numbers up to 100. While your number is less than 100, you keep adding the next number to a total.

[@glaivetitan]

ugh man I'm also studying loops, bur for C++

[@dcarroll242]

Unless, of course, you use the "break" keyword to kick you out of that for-loop! haha ;) That kind of breaks your explanation (no pun intended). Put simply, a for-loop should be used when you know the iteration count beforehand, a while-loop is used when you don't. Although, either will get the job done. The rest of your explanation is very well done.

[@TG47GRG]

Charlie McGuire same. 1 semester of c++.

[@TG47GRG]

for(declare variable; condition ; incre/decrement); do(function) while(condition)

[@Ken.-]

>which students have a name certain name This is an example of a while loop. While he was writing the sentence he was drunk.

[@PunmasterSTP]

Another exceptionally Feyn presentation!

[@BlackFoxInc]

Sooo happy I found this wonderful channel!

[@Socratica]

We're so happy you've found us!! Thank you so much for letting us know, you really put a smile on our faces. :D

[@johnnybrave7443]

Cool. Thanks a lot. Will be able to do medical physiology.

[@death0personified]

Ok, I’ll try E1 reactions in organic chemistry The E in E1 stands for elimination. It has to do with molecules breaking apart. Specifically, it has to do with a part of a molecule called a leaving group being displaced. In an E1 reaction, when the leaving group is displaced another molecule, one that is hungry for a hydrogen atom known as a base, plucks one from a neighbor atom which was attached to the site where the leaving group left. The hydrogen atom leaves behind its electrons and these electrons are used to form a new connection, a new bond within the molecule, such that the molecule is stable and no other parts of the molecule will be displaced. In general, molecule only fall apart in environments where falling apart results in stronger relationships. The 1 in the term E1 tells us that this reaction depends on 1 molecule to occur. Even though there is the initial molecule and a base, the reaction will only occur when the initial molecule is ready. We call this readiness, the formation of a carbocation intermediate. This occurs When the leaving group leaves. The base can’t pluck a proton until the leaving group leaves/the carbocation forms

[@MrDodolidodolipet]

gonna explain the string theory to my 5 years old nephew, wish me luck

[@pythonhd4169]

we are listening. I.e., reading.…

[@akiratoriyama1320]

@swetab singh ok... I 'll try. Physists think their models for the subatomic world as if the smallest particles in the world behave like very very tiny spherical objects. Like dots. String theory says what if those dots aren't dots and are rings or hoops. But made from string. So very very tiny ring strings. That thing changes a lot for the methods and the actions such an object can take. You can think a ball and a rope hoola hoop in the Newtonian physics we are living in. Does that make any sense?

[@akiratoriyama1320]

@swetab singh great question!! String model fits in the energy equations better than dots. And explains some things in order too better understand our world. Keep in mind that this is a theory yet. And not proven that works. At least I think... I am a couple of years away from my bachelor.

[@firebrain2991]

you can probably do it (if you understand it), but you'll be there a while :p

[@RogeliusZ]

Gracias por este vídeo, estoy seguro que va ha servirme mucho

[@afnanzahida]

I learned network forensics, it is a branch of computer networks where we analyze the data coming/going from one person to another by using different methods to read and analyze the data.

[@totoro5527]

Great video!

[@avneeshsharma5138]

That's so well said elegant woman. I praise your flair in fluent spoken English. Figuring out programme on self solving Rubik's cube.

[@RayWalker-pythonic]

Great video, as always.

[@RaviKiran_Me]

I'm learning about Recurrent Neural Networks. Sentences are a sequence of words, you sequentially read all the words in the sentence to generate the next word. Similarly, a "recurrent" neural network takes the words sequentially, recurrently and tries to predict the next possible word.

[@shubhamrc4379]

Wow this video was posted on my birthday. *Immediately subscribes*

[@Unpluggedx89]

I've used the Feynman Technique and Reverse Engineering to accelerate into my career as a Systems Engineer with one of the top tech companies in the world. And no degree.

[@YeshuaIsTheTruth]

@Jack Adams Right? Me too. I'm left imagining that he just looked at the machines he wanted to work on, figured out how they worked, made sure he could tell a child how they worked and then told his boss how they worked. Then he got a promotion. But I don't actually know if that's what happened, it just seems like the most likely explanation. :/

[@JuanMunoz-pz6be]

I’m studying stability in dynamical systems: A dynamical system can be seen like the system of the body. If the body is push softly forward, the body will try to return to the original position for avoid to fall. The point where the body has his feet is call stable equilibrium. If the body is from a person that work in the circus in the tight rope, the body is not in a equilibrium point but he is repeating slow movings constantly with the aim of no fall. In this case if the body do not fall and stay over the tight rope, the body will stay over a stable orbit and is call in this way by the repeatedly movements done by the body. Stable equilibriums and stable orbits are an essential part in the study of stability in dynamical systems

[@fattyz1]

Poifect. My mom was from Queens. Grand pa said "woims and boids. I liked him right away when I stumbled across him on KZbin. I was blown away when I found out who he was and what he'd accomplished.

[@ericlima7572]

Thanks Socratica, my subject of study is Bayes Rule, thats is basic draw a probability tree and multiplying fractions following the branches. Até mais pessoal!

[@gvjveera]

this is my video i saw in your(our) channel...very super,very clear your voice..keep doing ...tank u

[@vinuchoudhary6676]

socratica=some thing new for me in my life i am here from a day when I come here to studdy abstract algebra .. and now i stud a lot of things finding trouble in english coz I speaks HINDI but still understands everything. ... so thanx to SOCRTICA TEAM

[@Socratica]

We're so happy you've found us! Thank you for watching!! :D

[@atharvajadhav1749]

Socratica THANK YOU!

[@review_rater]

Grate socratica it was very nice thanks 🤗🤗🤗🤗

[@LJHuang-jn8bj]

Really helpful, especially for a teacher or Professor.

[@lkedves]

Thank you Socratica, now I learned that yesterday I used the Feynman Technique. I talked with my son studying history and politics at university about the essence of my IT project. That is a both practical and philosophical approach to artificial intelligence. Challenge accepted, here is a question and the explanation... :-) My project is MiND, a constructive model of intelligence, like the Neumann architecture (MEM, ALU, CPU, I/O). The modules are: Model, Idea, Narrative, Dialog (MiND acronym comes from there), together they form a self containing interactive intelligent system. The architecture and technical details contain too much "jargon" and therefore out of scope. Yet, there is a fundamental question: _Why should we build an intelligent machine?_ Think about mathematics: an abstract, self containing notation system. It helps us calculating solutions without trial and error iterations in any environment where we can make measurements, know calculation rules, create and solve equations. Mathematics worked before having the form that we know today. Addition is like collecting apples from baskets. Subtraction: putting them on plates one by one and see the remainder. Division: distributing all apples on the selected plates. And so on. Yet, with abstract mathematics you can translate a task to numbers and conditions and handle more complex problems by solving equations. For example, you want to distribute your stock of fruits among your friends according to their individual preferences. You can plan how many apples, oranges etc. to put on the plates assigned to each friend. You will even know all the remainders before starting. You may cheat. Instead of using mathematics, pay some people who work very fast. They can try lots of possible combinations of the fruits and plates, sooner or later present an acceptable result. For a while, it looks like you used math and had a plan. But, if the problem is too complicated, they start distracting each other, the process slows down or fails completely. Now look at information technology. Its original aim was to efficiently manage our cumulative knowledge to improve our problem solving power. Formalize the process of learning and understanding. Find the abstract rules of reasoning and build machines that behave according to them. kzbin.info/www/bejne/hpu6mYSfrK-tgck That was really hard to understand, "like" or sell. Thus, instead of that we turned to _imitating_ intelligence (by cherry-picking and misinterpreting a few paragraphs from Alan Turing) and our "hardware", the neural network. We also utilized the exponential growth of computation and storage capacity. We try to convince ourselves that if can overcomplicate a system enough that we don't understand it, it is a form of "solution" or "intelligence". kzbin.info/www/bejne/hJW2dWNtipqoeNU The cheat did not work. We have created extremely complex problems instead of solving the existing ones. Our brains can't handle the huge amount of events, messages, videos - while the aim was to simplify and understand. The infrastructure is "almost OK", but our normal habits prohibit us using it properly. Just like Apollo 1 which was good only to burn three men alive but also led to Gene Kranz's speech and that to landing on the Moon. kzbin.info/www/bejne/b6vNcqeblrBsoq8 So why should we build intelligent machines? 1: Because we started it and reached the point of no return: created problems that we can't solve without them. 2: scientists and engineers who founded our current environment had predicted our current state. _A successful prediction indicates that there are rules._ Understanding and using them gives a chance to a solution even though current trial and error attempts fail. More details about the mentioned founders are available in this article (part of my PhD research, 2018, rejected) bit.ly/medium_ScienceOfBeingWrong ; about the consequences in this lecture (was applauded and forgotten, 2014) bit.ly/lkedves_TasteOfLuck . This is the explanation. Please give a 0-10 Feynman score and ideas for improvement because I have been unsuccessful in raising attention for two decades... Thank you.

[@amarshrivastava2753]

Beautiful content ❤

[@golamrabbany6168]

Greatly explained. Best vedio on this subject

[@ratangupta395]

I'm learning about virtual memory, it creates an illusion of availability of enough memory space for programs to run even if the actual main memory in a computer is comparatively small. Virtual memory uses a mapping technique to create that kind of illusion.

[@scienceexplains302]

Ratan Gupta It saves data to the hard drive to compensate for insufficient “fluid” memory (RAM). Your explanation makes it sound as though virtual memory is a scam.

[@Emberbernal]

We all have good, meh, and bad thoughts. Understanding where they come from and how much they mean to us, shows us how we see the world and everyone in it. It’s not about choosing one over the other. It’s about understanding what part of our every day lives is helping us form these thoughts. The choice is our actions that we take which are reasoned by our thoughts.

[@lucerocastillo9581]

Increible la e estado usando durante los ultimos años y no me habia dado cuenta

[@jamess5415]

I could watch you explain stuff all day long 🥰

[@msaniimpyaBMW]

You did explain very well!

[@BikramMondalmbikram]

Wonderful!

[@JeroAlmufakir]

The partial derivative of a function in R^n vector spaces are a mathematical tool to understand its rate of change of one of its variables.

[@kunslipper]

thank you so much.

[@BitcoinmeetupsOrg123]

Yes always nice to listen to the guy. I wish I could ad lib like that.

[@SuperLolakias]

I am learning about the feynman diagramms of the non linear optics. In optics light acts like a wave passing through space are interracting with some material medium activating small resonators inducing them into vibration, rotating all the small dipoles and emitting a new signal. This phanomenon is called polarisation or "reply of the system" In linear optics is the output signal of this interraction mathematically only the convolution of the input signal and a system dependent function. In nonlinear optics we peturbate this 1st order (linear) signal with some higher orders. The 2nd order has a double convolution, meaning that the output of the linear order convolutes again with system function mathematically described with a double convolution integral, the 3rd order with the triple and so on. That means that we excite the atoms in the same time they were excited before. In he 1st order we only have an excitement. In the 2nd order the light interracts again when the system is excited and will either reexcite it further to a higher energy or induce emission return the system to the ground state. 3rd order and there is one moe interraction and we have even more possibilites(paths). Thats why we paint the Feynman diagramms to illustrate all those paths and moe easily write down the equations of motion for the non linear orders. To illustrate this the Feynman diagramms show us all the paths

[@luisluna8898]

I am learning about stresses and moments(a twisting force) that materials such as steel, aluminum, brass, and wood can handle. We can find the maximum stress (this is a pressure) that a material can handle before it deforms permanently just like when you apply pressure and bend a plastic slinky too far and it won't bend back to normal. From the center of mass of an object (the average point of matter of the system), the maximum moment force applied to the object (twisting force), and distance to the centroid from the desired point that we want to know the stress about, we can find the maximum stress that the object can at that point. This is useful when making trusses, beams, and supports for different type of structures. Engineers pick the most cost efficient materials that will still be able to handle the stress of holding things up.

[@RAJESHKUMAR-ot5ty]

Socratica The best video channel for students

[@MichaelGTadesse]

Thanks! Socratica, I am now working on a project that tries to enhance the predicting skill of weather forecasting models by using a state-of-the-art mathematics and computer science technologies. The project should in the end make the models reliable and robust so that anyone who relies on weather forecast can make use of the relatively accurate information provided by the models. I hope it made sense :)

[@narutoozumaki4339]

Go to 4. 30.. Youre really good.. Well said and explained. Youre a great xplainr

[@roushankumar-lu2ov]

I was already practising it meraclously it has a name.And what a name!

[@gebruikerarjan]

Iam a teacher at ps and ss and i like to try to explain difficult things to people who i think they can understand, because i can and i am not so different. The art of explaini g is partly remembering the mental way you fly to get to the right planet.. Children like to learn about black holes, chaos theory or the reason for pain.

[@davidoneworld7759]

He is my hero for ever....a brilliant man. ☺️☺️☺️

[@seamusdsl]

This is so simple , but at the same time it makes so much sense.....damn....

[@Socratica]

Socratica Friends, was school easy for you...until suddenly it wasn't? We wrote this book for you. How to Be a Great Student - paperback: amzn.to/3t5jeH3 e-book: amzn.to/2Lh3XSP Or sign up for Kindle Unlimited to read for free: amzn.to/3atr8TJ

[@Emberbernal]

We all have good, meh, and bad thoughts. Understanding where they come from and how much they mean to us, shows us how we see the world and everyone in it. It’s not about using one over the other.

[@chrispaquette7513]

One thing to consider when trying this approach is: What does it mean to have *understanding*? For example, I get excited about certain intellectual subjects and love to have an audience to lay out my thoughts. The people I speak with usually appreciate what I have to say--I am considered a "good speaker". But I often struggle with the idea that I'm a better salesman than expositor or teacher. I wonder if something is really getting across to my listeners or whether they are just impressed with my speech. When I think of the people in my life who have been great teachers, there is something about their way which allows me to enter into the ideas they talk about for myself and play with them. To me that is the "taste" of understanding--the quality of play. To impart that as a communicator is not as easy as it sounds.