NOTE: At 7:49 I meant to say Drug C instead of Drug A. Support StatQuest by buying my books The StatQuest Illustrated Guide to Machine Learning, The StatQuest Illustrated Guide to Neural Networks and AI, or a Study Guide or Merch!!! statquest.org/statquest-store/
Hey josh i suggest you to write a book on everything you explained in your ML and prob&stats playlist. It will surely be a triple baaammm in the community. And also going to be best seller.
If only there was some nice feature to add quick, like, _annotations_ to videos to point out small stuff like that. Jeez, my hidden genius is scary =_= /s @RUclips
You know what I love about your channel Josh? You've made a real effort to get to the bottom of these concepts. It's beautiful to see such attention to detail and love for a subject.
I literally watched your Statistics Fundamentals playlist in 2 days. It was too much of wisdom. I need to sit back, go through my notes again. Crazy crazy learning. Thank you so much for putting so many efforts that you made them look so effortless. Thank you, sir!
I started my machine learning journey a week ago confused with all the math involved and I found a extremely understandable way here .Thank you John Starmer you are really great..
Josh's voice is so cathartic to listen to and there's a perfect balance of learning at a great pace with minor sarcasm/banter that makes these videos so easy to binge and learn from. Thank you sir.
Josh... and all of you friendly folks of the genetics department. Thank you guys SO MUCH for your great work. Thanks to you I learned so much in an intuitive way.
For me, it has been StatQuest in the morning, afternoon, and night! This is Amazing!!! Who would have thought Stats and ML would be fun!! BAMMM! Thank you Josh :D
I cannot thank you enough for the efforts you put into this. You went at the pace I needed for me to be able to understand such abstract things. When I graduate from uni and land a well paid job I shall thank you even more for this!
Thank you Josh. This is a beautiful explanation. It goes to the very fundamentals of statistics with easy to understand examples. I have an upcoming data science interview, so I am refreshing my stat skills. Your channel is the best place to learn stats!
Will take my comps exam for grad school this coming saturday. Been using your videos to brush up on quanti methods. As a visual person, is so helpful. Thank you so much! Wish me luck! :D
This is so good! Thank you so much! I tried watching other videos about this but none could explain it well as you do nor keep my attention long enough.
@@statquest Can you post some interview materials? It will be of great help. I attended an interview where I was asked about the different testing methods and KPIs based on different data situations.
Of course like! Awesome lectures! Explained very clearly and easily - the best I found. Unfortunately, I did not find anything 'clearly explained' at the channel about Markov models.
Thanks Mr Josh for the wonder video.... You are taking lots of effects to make the video....... your clarity of explanation is really good ..... possible do it for anomaly detection in time series ........Thanks a lot for making more videos.
Great video however, I have a question. Throughtout the video, you used the phrase "random differences" for factors like Better diet, more exercise, (or may be some genetic mutation) which affect recovery time but are these factors really random ? These factors may be unknown to the experimenter but is it a good idea to consider them random ? I mean the phrase "Drug A may perform better than Drug B due to chance" doesn't make sense considering there would be deterministic reasons with mechanical explanations which would explain the action of the drugs
I agree, statisticians use words like "random" and "error" in strange ways. However, in the language of statistics, "random" means "things we didn't factor into the model". Unfortunately, that's just the way they use the term and there's not much we can do about it.
C, Aminor, G, C. BAM! :) (NOTE: They might sound a little different played on a normal guitar. The notes will be the same, but the order they are played might be different.)
Your stat fundamental series realy helped me understand the basics of hypothesis testing, huge thanks for that! I searched for a video explaining the mathematical logic behind z and t test but found no one that realy explained the Details in an understandable way. Would you mabey consider making a video based on all the stuff you allready explained but connecting the dots and other neccecary details for z and t tests? Would be great if you'd think about it. (Unless you allready made one and I just didnt found it^^)
You know, one day I would love to do a proper video on t-tests. For now, however, the only thing I have is a video that shows you that the logic behind t-tests is the same exact logic behind linear regression, which is also the same exact logic behind ANOVA and a bunch of other tests (some of which don't even have names). For details, first learn about linear regression... ruclips.net/video/nk2CQITm_eo/видео.html and then learn how it naturally extends to t-tests... ruclips.net/video/NF5_btOaCig/видео.html
Hello! Do you think that I could get a basic notion of inferential statistics after watching the whole "Statistics Fundamentals" videos? If not, which ones do you recommend me to watch? :) BTW this videos changed my belief that I could actually understand something with numbers involved
Great video, thanks! I completely understand what you said about us only being able to reject or fail to reject the null hypothesis, but I have seen many published papers stating their main hypotheses to be "there is no difference between groups". They then state in the discussion "the results support our hypothesis" when the tests find no difference and claim that the intervention is equally helpful for different age groups, for example. Is this problematic? Should the peer review have said something? Should they have switched the null hypothesis and the alternative hypothesis somehow because the type I error becomes the type II error and vice versa? What would be the algorithm for doing such research when they want to prove that the intervention is as effective as the other one?
Without knowing all of the details, I would say it is very odd to say that the main hypothesis is the null and that a large p-value supports that. The reason it's odd is that there could be a million reasons why the p-value was large, some of which have nothing to do with the treatment (for example, it could be that someone just wrote the data down incorrectly).
Thanks Josh for the intuition & crystal clear explanation for Hypothesis Testing - one of the toughest topics to explain to someone. TRIPLE BAM !!! @statquest Your explanation is better than any other resources FREE or PAID on the whole Internet. TRIPLE BAM !!! @statquest
Thanks for the Great Video! Would it still be considered a Null Hypothesis if it was phrased “People taking Drug C do not need fewer hours to recover than those who take Drug D” ?
At 10:00 we see the main idea in the null hypothesis. The hypothesis is that there is no difference - we then collect the data, and if the data suggests otherwise, we reject the hypothesis. If you keep watching beyond 10:00, you will see examples of what I am saying here.
Hi Mr Starmer, the lecture overall is incredible. Im just stuck at one point where I think the explanation flow is not as smooth as others. I know, BY COMMON SENSE, that the recovery time difference when giving drug C and D the 2nd and 3rd time is different, but not enough to reject hypothesis 1. Can u give me perhaps a more detailed and scientific explanation about why we simply are not certain to claim hypothesis 1 is incorrect, even though it is different then the following 2nd and 3rd time? Like how do we know if it is very likely that the hypothesis can be rejected?
OK. I think I found the part of the video you were referring to. In this case, we could use a linear model to test the hypothesis that the difference in means is always 13 hours. To learn more about how to do this, see: ruclips.net/p/PLblh5JKOoLUIzaEkCLIUxQFjPIlapw8nU
Josh- what about scientific hypotheses regarding forensic cases- where the null necessarily must point to 'not guilty' and therefore a fingerprint match null would be "different" and the alt "not different"!
I'm not 100% sure I understand your question, but you could imagine using DNA and saying "the null is that these two samples are the same" and then showing that there are enough differences to reject that hypothesis.
Very good video Mr.Starmer. One basic question: Why can't the null hypothesis be : There is a difference between Drug C and Drug D? Any things should I have to consider while formulating my hypothesis?
Due to random things, like exercise, age, etc, if we give the exact same drug to two groups of people, the mean recovery times for the two groups will probably be a little different. So, if we want the null hypothesis to be that there is a difference between two drugs, we have to quantify how big that difference is, because there will probably be a small difference in the means even if both groups take the exact same drug. So we could test that the difference between drugs is 12 hours, or 13 hours, or 11 hours, but how do we decide? Since we can't decide very easily, we set the null hypothesis to be that the difference is 0. Then we can test to see if the results are significantly different from 0. If so, then there is probably a difference between the two drugs.
Hi Josh,Thank you for the awesome video :) I'm slightly confused on how to frame null hypothesis for a given statement. For eg :A pizza place claims that their delivery time is 30 minutes or less than that on an avg. Now our null hypothesis will be "The delivery time is NOT less than or equal to 30 mins that is basically greater than 30 mins." Is this correct ?
Thanks Josh! When we fail to reject Null Hypothesis (No difference in recovery time between two drugs) can we conclude that statement in Null hypothesis is true i.e. No difference in recovery time between two drug?
HI, @josh, i watched all your stat videos, they are indeed veery good and very clear. I am wondering whether you have related notes or ppt for sharing. thank you!
There are ways to determine the number of experiments needed and I describe them in these videos: ruclips.net/video/Rsc5znwR5FA/видео.html and ruclips.net/video/VX_M3tIyiYk/видео.html
NOTE: At 7:49 I meant to say Drug C instead of Drug A.
Support StatQuest by buying my books The StatQuest Illustrated Guide to Machine Learning, The StatQuest Illustrated Guide to Neural Networks and AI, or a Study Guide or Merch!!! statquest.org/statquest-store/
Hey josh i suggest you to write a book on everything you explained in your ML and prob&stats playlist. It will surely be a triple baaammm in the community. And also going to be best seller.
One day I'll do that.
@@statquest We are waiting! :)
@@GauravSharma-ui4yd Definitely, I was thinking the same, best seller without a doubt.
If only there was some nice feature to add quick, like, _annotations_ to videos to point out small stuff like that. Jeez, my hidden genius is scary =_= /s @RUclips
"I'm not going to name names", hilarious 🤣️
:)
@@statquest have you created a detailed video on inferential statistics ????? (•‿•)
@@omkargowda5764 I believe this video would quality as a detailed video on inferential statistics.
COVID 19
really want to give you a big warm hug. You not only tought me these concept, now I am even confidence enough to explain these to someone else
BAM! That is awesome.
Josh doesn't accept hugs but BAMS!!
You know what I love about your channel Josh? You've made a real effort to get to the bottom of these concepts. It's beautiful to see such attention to detail and love for a subject.
Wow, thank you!
I literally watched your Statistics Fundamentals playlist in 2 days. It was too much of wisdom. I need to sit back, go through my notes again. Crazy crazy learning. Thank you so much for putting so many efforts that you made them look so effortless. Thank you, sir!
BAM! :)
Videos on platforms that require subscription fees are not even a tiny bit to your content 😂👏Thank you so much for the work!!
Thank you very much! :)
I started my machine learning journey a week ago confused with all the math involved and I found a extremely understandable way here .Thank you John Starmer you are really great..
Glad it was helpful!
how is your journey going . Just started mine today
yeah, how's it going? i think i'm halfway ready to apply for my first DS job
Josh's voice is so cathartic to listen to and there's a perfect balance of learning at a great pace with minor sarcasm/banter that makes these videos so easy to binge and learn from. Thank you sir.
Thank you so much! BAM! :)
And I'm extra impressed to see that you read and respond to comments on 3-year-old videos! That's a lost art in the RUclips-verse. Double BAM!
My favorite hobby of the quarantine is to watch statquest and make notes. Very grateful to you Josh...
bam!
it just hit me that I laughed five times while learning statistics from this video. So far statistics lessons were about frowning and what not. BAM!!!
Bam! :)
This is the best statistics class I have ever been in, you break it down in a constructivist way, such that any rookie can understand
Thank you!
You explained better than my college lecturer
Thanks!
You're the Best.......It's like watching fun videos but in the end, we get amazing knowledge. Keep doing such amazing work.
Thank you so much 😀
really appreciate your work mate! all videos so well explained using a light speech. wish you the best
Thank you very much! :)
Josh... and all of you friendly folks of the genetics department. Thank you guys SO MUCH for your great work. Thanks to you I learned so much in an intuitive way.
bam! :)
For me, it has been StatQuest in the morning, afternoon, and night! This is Amazing!!! Who would have thought Stats and ML would be fun!! BAMMM! Thank you Josh :D
Hooray!!! I'm glad you're enjoying StatQuest! :)
@@statquest All the time :)
I cannot thank you enough for the efforts you put into this. You went at the pace I needed for me to be able to understand such abstract things. When I graduate from uni and land a well paid job I shall thank you even more for this!
Thank you!
Thank you Josh. This is a beautiful explanation. It goes to the very fundamentals of statistics with easy to understand examples. I have an upcoming data science interview, so I am refreshing my stat skills. Your channel is the best place to learn stats!
Glad it was helpful!
Will take my comps exam for grad school this coming saturday. Been using your videos to brush up on quanti methods. As a visual person, is so helpful. Thank you so much!
Wish me luck! :D
Best of luck!
I've learned something today.
Hooray! :)
@@statquest 000000⁰⁰⁰⁰⁰000⁰⁰⁰0⁰⁰0⁰0⁰0
This is so good! Thank you so much! I tried watching other videos about this but none could explain it well as you do nor keep my attention long enough.
Thank you!
amazing, start the day with StatQuest videos, so excited!
Hooray!
This is the best explanation on the null hypothesis I have seen so far.
Thank you!
i love this, i actually understand bless your heart
Thanks!
Thank you, Josh! Great, simple introduction to hypothesis testing.
Glad you liked it!
thank you for taking all the time to explain the little things, it really helps!
Thank you very much! :)
Thank you, now I understand much better the necessity of the null hypothesis, and more importantly the universal manner to come up with one.
bam! :)
BAM!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! You're excellent
Thank you!
Every video of urs is really helpful to understand the concept..adding fun to teaching is really helpful.
Thanks!
The fact that a video about statistics made 4 years ago predicted the BAM of the Costco guys is crazy
bam! :)
You have all the ways to make learning interesting and fun, even the kids will also feel like knowing Statistics now !!!
Glad you think so!
@@statquest Can you post some interview materials? It will be of great help. I attended an interview where I was asked about the different testing methods and KPIs based on different data situations.
@@rittikabose I need people to send me their interview questions. Can you send me yours: statquest.org/contact/
When Knowledge and Entertainment are found together in one place. 🤩
bam! :)
Thank you sooooo much. You are a savior. The way you make complex things easy to understand is just amazing. Once again thank you so much ! :-))
Glad it helped!
wow! indeed clearly explained, Josh.
Thank you! :)
your the best professor i ever had 👍
Thanks! 😃
Tack!
Thank you very much for supporting StatQuest!!! It means a lot to me that you care enough to contribute.
you have changed my life forever 🤗
:)
Literally I have an exam tomorrow. You’ve been a lifesaver!
Good luck! :)
Me seeing this comment a night before my exam: 👁👄👁 same bruh (ik it’s late reply but whatever)
@@-why6039 hahaha i get it :,)
@@aryananand5089 ikr! Statistics is 😭
@@-why6039 all the best! 😊✨
Great Video! Very well explained. You are helping a lot of people
Glad you think so!
You are such a cool teacher! Thank you
Thank you! 😃!
fantabulous class....a big salute
Thanks!
Of course like! Awesome lectures! Explained very clearly and easily - the best I found. Unfortunately, I did not find anything 'clearly explained' at the channel about Markov models.
Markov Models are on the to-do list.
Great! And is a theory of random processes on the list?
Your channel is so bammm 🔥🔥❤️
bam! :)
Thank you for the wonderful and clear explanation! Very useful!
Glad you enjoyed it!
Thanks Mr Josh for the wonder video.... You are taking lots of effects to make the video....... your clarity of explanation is really good .....
possible do it for anomaly detection in time series ........Thanks a lot for making more videos.
Thank you very much! :)
Finally found the god of statistics
:)
Jesus thank you man! I finally understand that null hypothesis it was tricky for me
Bam! :)
your intros are the best
Thanks!
Great timing! Right after our discussion on NHST! :) ...another great video!
PS. You probably already caught this, but I believe there is typo at 7:50 ("drug A", but meaning drug C?)
Thanks for catching that. I added it to a pinned comment.
I am your fan . Great help in machine learning
Thank you! :)
Your videos really help me a lot. Thank you very much. I'll also be showing these videos to my students=)
Awesome! :)
Amazing explanation, thanks
Thanks!
Amazing videos! I just iked and subscribed double BAM!
Hooray! Thank you! :)
Thanks you for the video. It always refreshes my mind
Thank you! :)
these videos are amazing! you explained better than my statistics professor can. You earned a new subscriber! keep up the great work :D
Thanks, will do!
i do learn a lot from you and enjoy much fun!!!Thank you Josh!!!!!!!!!!!!
Awesome, thank you!
Great video however, I have a question.
Throughtout the video, you used the phrase "random differences" for factors like Better diet, more exercise, (or may be some genetic mutation) which affect recovery time but are these factors really random ?
These factors may be unknown to the experimenter but is it a good idea to consider them random ?
I mean the phrase "Drug A may perform better than Drug B due to chance" doesn't make sense considering there would be deterministic reasons with mechanical explanations which would explain the action of the drugs
I agree, statisticians use words like "random" and "error" in strange ways. However, in the language of statistics, "random" means "things we didn't factor into the model". Unfortunately, that's just the way they use the term and there's not much we can do about it.
@@statquest thank you for the answer
I'll be honest. I watch your videos waiting for the BAM and forget to focus on the concept! Then I've to go back all over again! 😂😂😂
BAM!
You know, I'm going to learn the chords of that cute intro! 😊
C, Aminor, G, C. BAM! :) (NOTE: They might sound a little different played on a normal guitar. The notes will be the same, but the order they are played might be different.)
Your stat fundamental series realy helped me understand the basics of hypothesis testing, huge thanks for that! I searched for a video explaining the mathematical logic behind z and t test but found no one that realy explained the Details in an understandable way. Would you mabey consider making a video based on all the stuff you allready explained but connecting the dots and other neccecary details for z and t tests? Would be great if you'd think about it. (Unless you allready made one and I just didnt found it^^)
You know, one day I would love to do a proper video on t-tests. For now, however, the only thing I have is a video that shows you that the logic behind t-tests is the same exact logic behind linear regression, which is also the same exact logic behind ANOVA and a bunch of other tests (some of which don't even have names). For details, first learn about linear regression... ruclips.net/video/nk2CQITm_eo/видео.html and then learn how it naturally extends to t-tests... ruclips.net/video/NF5_btOaCig/видео.html
I so wish I could meet you in person. You are just great!
Thanks!
Hello Sir, thank you so much for explaining it so well. The examples given by you makes is so easy for us understand it. You are amazing! Thank you 😊
Thanks!
Thanks for sharing this wonderful video. See you!
Thanks!
Hello! Do you think that I could get a basic notion of inferential statistics after watching the whole "Statistics Fundamentals" videos? If not, which ones do you recommend me to watch? :) BTW this videos changed my belief that I could actually understand something with numbers involved
Yes, I think you could get a good sense of what inferential statistics is and what you can do with it from my videos. Glad my videos are helpful!
Using your page as a review for a job interview
Good luck! :)
Note
12:10 : Why null hypothesis
귀무가설 이유
- 가설을 설정하기 위한 작은 데이터셋도 필요하지 않음
> 다음영상
bam
@@statquest oh Hi 👋 ☺️ 🤗
I’ll be marathon viewing ‘statistics'
@statquest Can I use video contents in my blog??
I will put your youtube link on top
@@Austin-t5o If you are asking about screen shots, I'd rather you not use my stuff. Instead, please just link to the video.
Really love your videos!!!
Thank you! :)
Triple Bam 💥 !!
Awesome Video for hypthesis testing
Thanks!
Great video, thanks! I completely understand what you said about us only being able to reject or fail to reject the null hypothesis, but I have seen many published papers stating their main hypotheses to be "there is no difference between groups". They then state in the discussion "the results support our hypothesis" when the tests find no difference and claim that the intervention is equally helpful for different age groups, for example. Is this problematic? Should the peer review have said something? Should they have switched the null hypothesis and the alternative hypothesis somehow because the type I error becomes the type II error and vice versa? What would be the algorithm for doing such research when they want to prove that the intervention is as effective as the other one?
Without knowing all of the details, I would say it is very odd to say that the main hypothesis is the null and that a large p-value supports that. The reason it's odd is that there could be a million reasons why the p-value was large, some of which have nothing to do with the treatment (for example, it could be that someone just wrote the data down incorrectly).
Very helpful video!
Thanks!
Thanks Josh for the intuition & crystal clear explanation for Hypothesis Testing - one of the toughest topics to explain to someone. TRIPLE BAM !!! @statquest
Your explanation is better than any other resources FREE or PAID on the whole Internet. TRIPLE BAM !!! @statquest
Thanks!
Thanks for the Great Video!
Would it still be considered a Null Hypothesis if it was phrased “People taking Drug C do not need fewer hours to recover than those who take Drug D” ?
Yes, that would be called a "one-sided test". However, generally speaking, one sided tests are more trouble than they are worth.
Thanks Josh, you made my day! thanks
Hooray! :)
You are the absolute best!
Thank you very much! :)
Great concept explanation
Glad you liked it!
Lovely BAM!!!!! from Bangladesh...
Thanks!
I don’t understand at the 10:00. Why there is no difference between c and d. There is 13, 12 hours difference, right?
At 10:00 we see the main idea in the null hypothesis. The hypothesis is that there is no difference - we then collect the data, and if the data suggests otherwise, we reject the hypothesis. If you keep watching beyond 10:00, you will see examples of what I am saying here.
Thanks, now I mixed up all I have ever known about hypothesis!
Does that mean that this video helped you understand hypothesis testing, or did it just make things more confusing?
Thank you josh .... You are wonderfulllll😊
Thank you very much! :)
This is REALLY helpful.
Thank you! :)
Hi Mr Starmer, the lecture overall is incredible. Im just stuck at one point where I think the explanation flow is not as smooth as others. I know, BY COMMON SENSE, that the recovery time difference when giving drug C and D the 2nd and 3rd time is different, but not enough to reject hypothesis 1. Can u give me perhaps a more detailed and scientific explanation about why we simply are not certain to claim hypothesis 1 is incorrect, even though it is different then the following 2nd and 3rd time? Like how do we know if it is very likely that the hypothesis can be rejected?
What time point, minutes and seconds, are you referring to?
OK. I think I found the part of the video you were referring to. In this case, we could use a linear model to test the hypothesis that the difference in means is always 13 hours. To learn more about how to do this, see: ruclips.net/p/PLblh5JKOoLUIzaEkCLIUxQFjPIlapw8nU
@@statquest thanks a lot, highly appreciate it
The reason I always click your video is just because I want to hear you singing
You have great taste in singing! :)
Josh- what about scientific hypotheses regarding forensic cases- where the null necessarily must point to 'not guilty' and therefore a fingerprint match null would be "different" and the alt "not different"!
I'm not 100% sure I understand your question, but you could imagine using DNA and saying "the null is that these two samples are the same" and then showing that there are enough differences to reject that hypothesis.
Excellent explanation
Glad you think so!
Very good video Mr.Starmer. One basic question: Why can't the null hypothesis be : There is a difference between Drug C and Drug D?
Any things should I have to consider while formulating my hypothesis?
Due to random things, like exercise, age, etc, if we give the exact same drug to two groups of people, the mean recovery times for the two groups will probably be a little different. So, if we want the null hypothesis to be that there is a difference between two drugs, we have to quantify how big that difference is, because there will probably be a small difference in the means even if both groups take the exact same drug. So we could test that the difference between drugs is 12 hours, or 13 hours, or 11 hours, but how do we decide? Since we can't decide very easily, we set the null hypothesis to be that the difference is 0. Then we can test to see if the results are significantly different from 0. If so, then there is probably a difference between the two drugs.
Here's the link for alternative hypotheses: ruclips.net/video/5koKb5B_YWo/видео.html
For some reason it's not in the description..
Thanks!
That was quickly fixed 👍 kudos for reading comments on older videos
Hilarious! I've never lol'd on a stats video before
Bam! :)
Woh man, great content.
Thanks!
At 4 min 15 sec , when you say the experiment is conducted multiple times , is it done on the same group of people? or different.
thank you so much for your videos
Thank you!
Hi Josh,Thank you for the awesome video :)
I'm slightly confused on how to frame null hypothesis for a given statement.
For eg :A pizza place claims that their delivery time is 30 minutes or less than that on an avg.
Now our null hypothesis will be "The delivery time is NOT less than or equal to 30 mins that is basically greater than 30 mins."
Is this correct ?
Yes.
"I'm not going to name names" ooooh spicy time
:)
Thanks Josh! When we fail to reject Null Hypothesis (No difference in recovery time between two drugs) can we conclude that statement in Null hypothesis is true i.e. No difference in recovery time between two drug?
I believe I answer this question at 8:21
I'm supposed to be working, but I keep watching these
BAM! :)
HI, @josh, i watched all your stat videos, they are indeed veery good and very clear. I am wondering whether you have related notes or ppt for sharing. thank you!
I have study guides for some of my videos here: statquest.org/studyguides/
After... Watching this video I feel relax.. that. I knw. Something.. clearly
Hooray! :)
Superb 👍
Thanks 🤗
I bet all your favourite nursery rhymes are all about all maths. Your kids and cat surely love your math songs.
:)
How many experiments should there be to be confident in rejecting/failing to reject the null hypothesis?
There are ways to determine the number of experiments needed and I describe them in these videos: ruclips.net/video/Rsc5znwR5FA/видео.html and ruclips.net/video/VX_M3tIyiYk/видео.html
Good one!!
Thanks!