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dMUes74-nYY
level you don't have patches so what if you use a memory bank where you have a buffer of previous embeddings and then you just use that buffer as your negatives so for that buffer to function well it needs to be reasonably historically average version of your current encoder so that it can contrast well if it's just your current encoder then the previous embedding stored in
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7396s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
the buffer or not rather than anymore so that basically so the idea for moko where you basically take an original image oh and you split it into queries in keys which is the two different augmentations and you encode both of them you encode the targets using your momentum encoder and you construct these query in keys you know the true target and you just optimize with the contrast
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7421s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
loss note that this contrast loss in vocal doesn't use the bilinear product it just uses a unit norm vectors of all these in bearings with the temperature softmax and that that version also works pretty well as long as you can pick the right temperature and this is actually the pseudocode for vocal written in rape in a Python style and I think it's best understood through this so fq and FK our
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7448s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
encoder networks with a query and key and your cue you have a dictionary of cues which is your memory bank of negatives and you have a momentum is a temperature parameter so initially you make the key encoder and the query encoder the same to start with and every time you load a mini batch you construct two different augmentations of it the query and the key and you fast forward
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7476s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
the query in the key using the you get the embeddings using the query and key encoders and you who'da stop gradient on the key encoder you're not going to back probe through the momentum encoder and now you're computing the logits of the positives which is you have the same mini batch so you constructed or different augmentations for the same image so that means that the Pirates products of the
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7501s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
corresponding batch indices like if you have a batch of 16 images and you created another batch of 16 images every particular index is basically another augmentation of itself so you can actually take the paralyzed or product for that and get get get the scores for the positives and for negatives you just use your cue or the memory bank of negatives that you have and you just
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7525s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
take your query encoder and you just compute the paralyzed our products with all of this memory bank negatives and now you know that you have the positives and the negatives for your influency loss you just concatenate them and then throw across and repeat laws by creating the true labels and users JT to optimize and and finally you have to perform the momentum update for your key encoder so
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7550s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
that your momentum encoder is slowly changing over time so that's the idea in moko and your cue or the memory bank is a first in first out queue so every time you are your plura upload a new batch of negative in bearings you are you also have to like take it take the the least reason keen a bad-size number of negatives out of the buffer and as long as you can do all
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7574s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
this without any mistakes this will work and these are the different ways in which you can do instance contrasted learning one is you just do it end to end don't care about this momentum just use your current mini box as your negatives use the same encoder for the queries in the keys and back prop the gradients to every everything so that is the end of a notion the other version is
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7602s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
hey I don't you know you you just say I count referred a really large bat size I want to use a memory bank of negatives and that would stay that would keep changing dynamically but then I can I'm going to use a lot more negatives that way so that's interesting and then you you cannot backprop to the memory bank but what you can do is you just applaud your most reason negatives every time
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7626s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
you pass forward a new mini batch you just collect those and bearings and you just thank you that your memory bank so that has a problem because like I said if it's not just if it's not changing over time dynamically then then it's possible that your turn encoders in bearings can be correlating very easily with the most recent negatives and you can just ignore all the other negatives
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7649s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
on your memory bank and so that way you're not actually taking true advantage of the number of negatives and the final version is the mokele illusion where you basically use a momentum encoder and then you use that for in queueing and D queuing and you use the you don't actually back prop to it and you only back for up to your queries and you have a lot of you you get the best
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7675s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
of using you know just a regular end-to-end version but you also make sure that you can afford a large batch size effectively so here's the local plot where the number of negatives basically is increased over time like is increased a different iteration increase for different runs of the same algorithm like we have three different versions the moco memory bank and n 2n and
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7699s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
increasing the number of negatives and enter in the authors only did it up 2024 because increasing it beyond that needs a lot more GPUs a lot more TP of course you know because it's basically your maths at global back size so having a global back size a thousand 24 is the maximum you can afford right now in 8/8 GPU Volta dgx so the authors didn't expand further on that but as we see
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7729s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
very immediately after this the sims ii as our technique is basically the same thing as n 2n technique in moco but the only difference is they were they scale the top to use bigger batch sizes and use a lot more TPU course so local scales gracefully with the number of negatives which is basically the size of your memory bank and you can see that the benefits are there and as you keep
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7756s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
increasing number negatives the linear classification accuracy and the y axis keeps going up so that means you're learning better representations so when mocha was published it was the state of the art for linear classification like CPC version two was not updated yet so and and so the updated results were already presented to you in the previous slide so Mokomoko had really good linear
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7782s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
classifier accuracy where when they made the rest net 4x wider they got 68% top one and and and it's a nice plot of how the number of parameters plays a significant role in giving you like better top-1 accuracy of the linear classifier so finally we look at this paper called zoom CLR or Sinclair simple framework for contrast learning by think chance I mean complet momen Eruzione geoff hinton
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7810s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
so the best way to understand since IAM clear now that you already know CPC and moco is it adopts instance discrimination it and it goes for the end-to-end mechanism proposed in moco so if you look at internment plot and figure a here you back propagating through both the query and the keys and you sharing the same encoder for the queries in the keys and your negatives
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7843s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
are just coming from your back so and and and that's really this exact same thing adopted and Sinclair which is you just take X your input your image mini-batch you perform two different augmentations to it get exciting the UNIX j2d you pass them to the same rest that encoder and you get hecha in history and there is another encoder or another MLP head which takes these mean
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7865s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
pool rest net embeddings and puts it into a lower dimension for the contrast of loss and then you just operate the same influency loss with unit vectors similar to moco so the new innovation in Sim CLR is this G functioned the the demo the the there is a transformation G that takes the rest net embedding and puts it into Layden's rather contrasted losses perform so
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7894s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
early earlier versions like CPC and moko do not make use of any depth from when you Benny when you take the embeddings of your context to the targets it basically just uses a one by one convolution to reduce the channel dimension and perform the contrast of the last in a lower dimension in sims CLR you are using a few layers of MLP to transform 2048 dimensional vector that you get from
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7920s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
rest net to something much smaller like 128 dimensions to the contrast to optimization so that's basically the difference and that really helped a lot so here is Sim Sim cleaners main algorithm another interesting version another interesting fact and sim clear is that if you're going to use your own batches your positives and negatives you can you can basically flip what is a
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7949s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
query and what is a key so if you take a batch you do two different augmentations one of them becomes the query and one that becomes the key but then what which one is query image from this key is totally arbitrary so why not just do both ways so they actually do both ways and so that is the determine the loss which is L of 2k minus 1 comma 2 k plus L of 2 K comma 2 K minus 1 CD they just
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https://www.youtube.com/watch?v=dMUes74-nYY&t=7977s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
flip their order and then you can just use a large large batch gradient descent they use a large optimizer and use bad sizes of 2048 or 4096 on a cloud TPU and and and they're able to perform this optimization really fast and they also train much longer and just like CPC was trained for 500 a box they train actually 4,000 bucks and they add a little more data
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https://www.youtube.com/watch?v=dMUes74-nYY&t=8000s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
augmentations like Gaussian blur that helps a lot and randomized the order of data augmentations so simply errand was published just two weeks ago actually 2 to 2.5 weeks ago it got stained the art performance on imagenet linear classifier so you can see that just with the resident 50 whatever CPC version to God was 63.8 and moco had like 60 point 1 sim clear just took it all the way to
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https://www.youtube.com/watch?v=dMUes74-nYY&t=8028s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
69 percent a huge jump and when they made the resonance wider which is making the rest at 2x so 4x wider you get more features linear classification now gets all the way up to 76.5% which is as good as a supervisor learner can be at that it's it is using more features it's using more parameters so it's in the same parameter scenario is not as good as supervised but if you just have a
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https://www.youtube.com/watch?v=dMUes74-nYY&t=8056s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
confirm for more parameters it's almost as good as supervised and this this kind of result was lacking for a long long time image image classification sub supervised learning was always lagging behind in supervised learning so so simple clear was the first to ensure that something can exist in this level so here is a more detailed study of how how you know you could ask a question
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https://www.youtube.com/watch?v=dMUes74-nYY&t=8084s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
hey what if you made supervisor also wider would supervise increase as much as supervised it turns out to be not true so like a regular supervised resident get 76% but a wider doesn't actually improve a lot more it doesn't prove it gets to 77 78 but not not not more so the gap between self supervised and supervised release is further and number of parameters is more so the hypothesis
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https://www.youtube.com/watch?v=dMUes74-nYY&t=8112s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
of the authors is that supervised models need me you know they cannot particularly benefit from more data augmentations or more parameters where sub supervised models can actually benefit from that because they're trying to do something much harder so when you actually can afford bigger models you would rather want to go for something like self supervised learning instead of
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https://www.youtube.com/watch?v=dMUes74-nYY&t=8141s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
supervised learning if you can continue making more improvements so after Sinclair was published the fact that the MLP has helped a lot made the moko authors consider using MLP heads as well and also doing a little more engineering more hyper parameter sweeps and also train longer and use the same kind of data augmentations that simply are used but and so the moko authors
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https://www.youtube.com/watch?v=dMUes74-nYY&t=8165s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
came back came up with reply to Sinclair in some sense and call their model this moko version to say on the left you can see what it basically is simply R which is the end-to-end version of loco on the right you can see the mocha version exactly the appealing thing about moko is it basically can let you use a lot of negatives with our naxi using large batches because of its memory buffer and
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https://www.youtube.com/watch?v=dMUes74-nYY&t=8190s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
so when you add when you add these ideas so MLP had which is the G function aaaghh plus which is the Gaussian blur augmentation used in simpler and another detail that was used in sim clear was the cosine learning rate decay which moko didn't use if you add all these details then mokos accuracy linear classifier just arrests in 50 encoder improves all the way up to 71 point one
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https://www.youtube.com/watch?v=dMUes74-nYY&t=8216s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
percent that just which is which is two percent better than simply results and it also improves the detection results in Pascal and so and so just by training longer and getting all these extra details right the moko authors were able to get very very impressive self supervised results with just using a GPUs and a bath size of 256 so that's that's that is really the state of the
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https://www.youtube.com/watch?v=dMUes74-nYY&t=8244s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
art technique right now and here's also the ablation between moko version one vocal version two and simply ER and you can clearly see like mocha version one from sixty point six it went all the way from sixty point six to sixty seven point five even without training longer like the seven percent improvement just by adding the same details that simply are had which is using MLP heads
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https://www.youtube.com/watch?v=dMUes74-nYY&t=8271s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
cosine learning rate DK and you the extra data augmentations and from 67.5 in it can have another 3.5% improvement by by training longer so so at this stage South supervised learning is really at a stage where it the amount of engineering detail you pay attention to and the amount of trickery you add in terms of model optimizations and like using clever techniques like memory
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https://www.youtube.com/watch?v=dMUes74-nYY&t=8299s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
banks and doing very well on large batch training what data augmentations you use what is the learning rate decays or optimizers those are really the most important parts and getting state-of-the-art numbers and it's only a matter of time before like it's gonna match the results of supervised learning on all these benchmarks like seventy one point files still not as good as 76% so
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https://www.youtube.com/watch?v=dMUes74-nYY&t=8332s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
that's still some gap to close in but the the rate of progress is because it's just been two or three months since all these papers came out and it's been rapidly exploring so so that's that's pretty much it for self supervised learning like we haven't really covered language like subsequent learning for language which is actually are arguably the domain where unsupervised ourselves
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https://www.youtube.com/watch?v=dMUes74-nYY&t=8360s
Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
dMUes74-nYY
provides free training has really taken off even before all these revision successes and some like bird which is really famous and has 4,000 citations in a year like it it basically is already productionize dan google search already uses it so that those are bigger successes than CPC or instance contrast to learning or moko so so but we didn't really cover that
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Lecture 7 Self-Supervised Learning -- UC Berkeley Spring 2020 - CS294-158 Deep Unsupervised Learning
https://i.ytimg.com/vi/d…axresdefault.jpg
n3g2DlmZsLg
this is Earl Nightingale the purpose of this recording is to tell you about and try to condense one of the most amazing books ever written Think and Grow Rich by Napoleon Hill without question this single book has had a greater influence on the lives accomplishments and fortunes of more individuals than any other work of its kind all over the free world there are literally thousands of
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https://www.youtube.com/watch?v=n3g2DlmZsLg&t=0s
Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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n3g2DlmZsLg
successful men and all lines of work who are where they are today because they once picked up and bought a copy of Think and Grow Rich and they'll be quick to tell you so I first discovered this remarkable book in the fall of 1949 it was an enormous help to me it helped me decide once and for all how I was to accomplish my goal it unified my thinking and gave me a straight clear
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https://www.youtube.com/watch?v=n3g2DlmZsLg&t=23s
Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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n3g2DlmZsLg
Road to the point I had decided to reach one of my closest friends found the book several years ago and stayed home for three days reading and digesting its material and he then went on to reach the top in his industry i sat in richly paneled carpeted executive offices and listened to world famous business leaders some of them old enough to be my father tell me that
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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n3g2DlmZsLg
everything worked out fine after they had read Think and Grow Rich now what's the secret of this amazing book why has this book out of all the thousands of self-help books remain the one towering giant I think to understand this you have to know Napoleon Hill as I do he certainly was not the first man to be appalled at the poverty and seemingly endless struggle and lack of direction
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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n3g2DlmZsLg
he saw about him as a boy and as a young man nor was he the first to write on the subject but he possessed two unique highly developed abilities seldom found in one man the first was in the manner in which he approached his subject Napoleon Hill went after the answers to achievement in the same way a scientist seeks to open to the light of Reason a secret of nature he went after the
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
https://i.ytimg.com/vi/n…axresdefault.jpg
n3g2DlmZsLg
solution to accomplishment in the same way Thomas Edison discovered the solution to the electric light relentlessly indefatigably implacably until the truth which had been there all the time was revealed to him his second important ability was the knack or skill of writing about his findings in such a way that it was instantly understood intellectually but what is perhaps even
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
https://i.ytimg.com/vi/n…axresdefault.jpg
n3g2DlmZsLg
more important for this particular subject understood emotionally as well on the last page of Think and Grow Rich was read the hand which put the book down on the table was a different hand the man who then stood and walked out into the world was a different a changed man the suffocating entangling webs of self-imposed frustration and interaction had fallen away and now the way was clear the man
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
https://i.ytimg.com/vi/n…axresdefault.jpg
n3g2DlmZsLg
was now the possessor of the unique unseen talent for turning dreams into reality thoughts into things so called fate of the idle effects of exterior circumstances were no longer in command he who had been a passenger was now suddenly the captain to begin we have to understand the simple truth the principle or philosophy which lies is the supporting structure of this work
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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n3g2DlmZsLg
unless whatever it is you build is based on truth you will end with the entire structure fallen and scattered about you like the armor of Homer's ancient warriors it simply cannot stand it cannot withstand the test of time the reason thinking Grow Rich has withstood the test of time is because it rests on the broad clean foundation upon which may also be found every
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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n3g2DlmZsLg
accomplishment of man the clear unchallengeable fact that everything begins with an idea a philosophy based on the fact that riches of every kind begin with the State of Mind that one may start with nothing but thoughts ideas and organized plans thoughts are sings incredibly powerful things when mixed with definiteness of purpose persistence and the burning desire for
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their translation into material objects or riches riches being whatever it is you happen to want wise men have been saying this for centuries and just recently Charles a sarami wrote the truth is that the human mind is as real and organism as any muscle in the body but far greater in potential power and like muscle fiber it can be strengthened to lead on to unimaginable is based if
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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you know what you want and if you want it strongly enough to muster the kind of persistence that simply cannot be stopped you most certainly achieve it by controlling your mind you can control your destiny here on earth with this as our foundation let's talk about napoleon hill's famous 13 proven steps to riches as found in his book Think and Grow Rich remembering of course that riches are
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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whatever it is you happen to want and right here let me make two important points the first is that whenever you listen to this record have a notebook handy and make notes as we go along the second is that this record was produced for your own personal use to go with you on your own exciting journey to play this record for a group will prove to be of only temporary help make sure you
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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have your own personal copy to play again and again particularly at those times when you may feel yourself getting off the track and now napoleon hill's famous 13 principles you will notice that we have separated each principles by bending them on the record in this way you're given quick access to any particular principle to which you may wish to return for reference the first
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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principle desire here is the starting point for all achievement that first step toward riches but it's right here that we so often run into a stumbling block a person will say I know what I desire but can I get it we'll get into this business of doubt later but once and for all let's clear up this point this point of whether or not you can accomplish that which you desire with
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all your heart I think it was best expressed by Emerson who wrote there is nothing capricious in nature and the implanting of a desire indicates that its gratification is in the constitution of the creature that feels it in other words you would not have the desire unless you were capable of its achievement each of us has a built-in governor and our desires are modified by
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our abilities and leanings whatever it is that you desire with all your heart understand once and for all that it can and should be yours in Think and Grow Rich Napoleon Hill cites example after example of why you're burning desire is nothing more than an accurate picture of what you will one day become so right here firmly establish in your mind that which you desire more than
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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anything else for as hell vicious put it by annihilating the desires you annihilate the mind every man without passions has within him no principle of action nor motive to act a good way to determine whether or not you really have a burning desire is to examine the way you go after it if you go after that which you think you desire tentatively timidly in an attempt to play it safe
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you don't have a burning desire at all you can't get the second base if you keep one foot on first but if you're willing to burn your bridges behind you and say once and for all this is it this is what I will do and I will never retreat I'll never go back then you have the sort of desire that can only end in success it takes that kind of resolve to be able to keep
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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picking yourself up after there falls you're bound to take the only people who don't make mistakes are those who never try anything the timid feeders in the lagoon who never venture into the broad deep sea beyond well these principles will work for anything you may want a more harmonious home life a more successful career for our example let's say your desire happens to be more money
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to better care for your family and provide for your future years to get your share of the prosperity that lies ahead Napoleon Hill gives us six definite practical steps to follow 1 fix in your mind the exact amount of money you desire it is not sufficient merely to say I want plenty of money be definite as to the amount there's a psychological reason for definiteness
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which will be described in a subsequent principle number 2 determine exactly what you intend to give in return for the money you desire there's no such reality as something for nothing 3 establish a definite date when you intend to possess the money you desire and 4 create a definite plan for carrying out your desire and begin at once whether you're ready or not
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to put this plan into action 5 write out a clear concise statement of the amount of money you intend to acquire name the time limit for its acquisition state what you intend to give and return for the money and describe clearly the plan through which you intend to accumulate it 6 read your written statement aloud twice daily once just before retiring at night and
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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once after a rising in the morning as you read see and feel and believe yourself already in possession of the money or whatever your goal happens to be it's important that you follow these instructions to the letter play this part of the record over until you have it down to your satisfaction for this is by far the most important of the 13 principles and this chapter of
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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the book ends with these words through some strange and powerful principle of mental chemistry which she has never divulged nature wraps up in the impulse of strong desire that's something which recognizes no such word is impossible and accepts no such reality as failure the second principle is faith you never would have even thought of your main desire unless faith were tugging at your
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mind and if you find it difficult at times to have faith in yourself you can be certain that you can have faith in these principles Napoleon Hill writes faith is a state of mind which may be induced or created by affirmation or repeated instructions to the subconscious mind through the principle of conscious Auto suggestion conscious auto suggestion simply means a
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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suggestion by yourself to yourself just as an autobiography is a biography written by the person it's about by getting a mental image of yourself already having accomplished your main desire over and over again you will muster the faith you need faith is vital to accomplishment the emperor napoleon once said all the scholastic scaffolding falls as a ruined edifice before one
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single word faith Pascal said faith affirms many things respecting which the senses are silent but nothing which they deny it is superior to their testimony but never opposed to it Goethe said epochs of faith are epics of fruitfulness but epochs of unbelief however glittering a barren of all permanent good and a Schlegel put it in actual life every great Enterprise begins with and takes
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its first forward step in faith have faith that you can accomplish that which you seek for you would never have decided upon it unless it was meant for you to accomplish in his chapter on faith Napoleon Hill gives us a self-confidence formula first I know that I have the ability to achieve the object of my definite purpose in life therefore I demand of myself persistent
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continuous action toward its attainment and I hear and now promise to render such action second I realize that dominant thoughts of my mind will eventually reproduce themselves in outward physical action and gradually transform themselves into physical reality therefore I will concentrate my thoughts for 30 minutes daily upon the task of thinking of the person I intend
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to become thereby creating in my mind a clear mental picture of that person third I know through the principle of Auto suggestion any desire that I persistently hold in my mind will eventually seek expression through some practical means of attaining the object back of it therefore I will devote ten minutes daily to demanding of myself the development of self-confidence fourth I
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have clearly written down a description of my definite chief aim in life and I will never stop trying until I have developed sufficient self-confidence for its attainment fifth I fully realize that no wealth or position can long endure unless built upon truth and justice therefore I will engage in no transaction which does not benefit all human effects I will succeed by
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attracting to myself the forces I wish to use and the cooperation of other people I will induce others to serve me because of my willingness to serve others I will eliminate hatred envy jealousy selfishness and cynicism by developing love for all humanity because I know that a negative attitude toward others can never bring me success I will cause others to believe in me
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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because I will believe in them and in myself in rereading thinking Grow Rich so that I could write this condensation for recording I was forcibly struck all again by this great chapter on faith particularly the examples of how some of the world's greatest men have accomplished what appeared to be impossible through faith the third principle is Auto suggestion
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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now we've already touched on this this chapter the book tells us how through repeated suggestion the subconscious mind can be put to work for us it is the Faculty of being able to concentrate your mind on your burning desire until your subconscious mind accepts it as fact and begins to devise ways of bringing it about here is where hunches come from sudden flashes of thought or
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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inspiration guidance the instructions given in connection with the six steps in the second chapter will now be summarized and blended with the principles covered by napoleon hill's chapter on Auto suggestion first go into some quiet spot perhaps in bed at night close your eyes and repeat aloud so you may hear your own words the written statement of the amount of money you
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intend to accumulate or a careful reaffirmation of whatever your goal happens to be the time limit for its accumulation and a description of the service or merchandise you intend to give in return for the money as you carry out these instructions see yourself already in possession of your goal for example suppose that you intend to accumulate fifty thousand dollars by
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the 1st of January five years from now that you intend to give personal services in return for the money in the capacity of a Salesman your written statement of your purpose should be similar to the following by the first day of January 19 whatever it happens to be I will have in my possession fifty thousand dollars which will come to me in various amounts from time to time
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during the interim in return for this money I will give the most efficient service of which I'm capable rendering the fullest possible quantity and the best possible quality of service in the capacity of salesmen of and here describe the product or service you intend to sell or whatever it is you do for a living it goes on I believe that I will have this money in my possession my
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faith is so strong that I can now see this money before my eyes I can touch it with my hands it is now awaiting transfer to me at the time and in the proportion that I deliver the service I intend to Ren in return for it I am awaiting a plan by which to accumulate this money and I will follow that plan when it is received second repeat this program night and morning until you can see in
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your imagination the money you intend to accumulate third place a written copy of your statement where you can see at night morning and read it just before retiring and upon arising until it's been memorized as you carry out these instructions you are applying the principle of auto suggestion the fourth principle is specialized knowledge it is here that I think Napoleon Hill makes a
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very important point knowledge is power only to the extent that it is organized into a definite plan of action and directed to a definite end to quote from the book before you can be sure of your ability to transmute desire into its monetary equivalent you will require specialized knowledge of the service merchandise or profession which you intend to offer in
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return for fortune perhaps you may need much more specialized knowledge than you have the ability or the information require and if this should be true you may bridge your weakness through the aid of your mastermind group more on this later but for now realize that you must learn all you can about your specialty set aside a definite time every day for learning more about what it is you do
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for a living take the courses that are offered on your subject and associate with men who know your business well the fifth principle is imagination the imagination is literally the workshop where in our fashion all plans created by man the impulse the desire is given shape form and action through the aid of the imaginative Faculty of the mind it has been said that man can create
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anything he can imagine as Napoleon Hill says and teaches whatever the mind of man can conceive and believe it can achieve man's only limitation within reason lies in his development and use of his imagination and subsequent motivation to action the great leaders of business industry finance and the great artists musicians poets and writers became great because they
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developed the power of self motivation incidentally one of best books ever put together on this subject if not the greatest is success through positive mental attitude by Napoleon Hill and W Clement stone I suggest you get a copy from your bookstore at your earliest convenience if your bookstore happens to be out of the book you may obtain a copy by writing to the address on the label of
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this record as you go about your daily work think constantly of ways in which it could be done better more efficiently think of the changes that are inevitable can they be made now and if you feel limited remember the words of the late Frank Lloyd Wright he said the human race built most nobly when limitations were greatest and therefore when most was required of imagination in order to
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build it all limitations seemed to have always been the best friends of architecture as you build your future from this point onward don't concern yourself with limitations but remember that they may be your best friends since they require imagination if were to rise above them and this Beecher said the soul without imagination is what an observatory would be without a telescope
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now if you turn this record over we'll get to the sixth principle the sixth principle is organized planning you have decided on your desire your goal now let's organize the plan for its accomplishment right on schedule let me quote again from Think and Grow Rich you have learned that everything man creates or acquires begins in the form of desire the desire is taken on
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the first lap of its journey from the abstract to the concrete in the workshop of the imagination for plans for its transition are created and organized earlier you were instructed to take six definite practical steps as your first move in translating the desire for whatever you want into its physical equivalent one of these steps is the formation of a definite practical plan
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or plans through which this transformation may be made one ally yourself with one or more persons a group of as many people as you may need for the creation and carrying out of your plan or plans for the accumulation of the money you've established as your goal making use of the mastermind principle this is important too before forming your mastermind Alliance
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decide what advantages and benefits you may offer the individual members of your group in return for their cooperation no one will work indefinitely without some form of compensation although this may not always be in the form of money 3 arrange to meet with the members of your mastermind group at least twice a week and more often if possible until you have jointly perfected the necessary
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plan or plans for the accomplishment of your goal 4 maintain perfect harmony between yourself and every member of your mastermind group keep in mind these facts first you're engaged in an undertaking of major importance to you to be sure of success you must have plans which are faultless second you must have the advantage of the experience education native ability and
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imagination of other minds this is in harmony with the methods followed by every person who has risen above the average work at this until you have a well-executed formal plan for reaching your objective in this way you're never confused or wondering what you should do next every morning you know exactly what you're going to do and why it is in this chapter of thinking Grow Rich that
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Napoleon Hill gives us his eleven qualities of leadership one unwavering courage two self-control 3 a keen sense of justice four definiteness of decision 5 definiteness of plans 6 the habit of doing more than paid for 7 a pleasing personality 8 sympathy and understanding 9 mastery of detail 10 willingness to assume full responsibility and 11 cooperation the chapter on organized planning is one of
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the largest and most important in the book it goes without saying that a man without a plan to follow is like a ship without a course no place to go with disaster a probability the seventh principle decision the mastery of procrastination to quote accurate analysis of over twenty five thousand men and women who had experienced failure disclosed the fact that lack of decision was near the head
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of the last of the thirty major causes of failure this is no mayor's statement of a theory in his effect procrastination the opposite of decision is a common enemy which every man must conquer analysis of several hundred people who had accumulated fortunes well beyond the million dollar mark disclosed the fact that every one of them had the habit of reaching decisions promptly and
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of changing these decisions slowly if and when they were changed people who fail to accumulate money without exception have the habit of reaching decisions if at all very slowly and of changing these decisions quickly and often a definite objective makes reaching prompt decisions that much easier Napoleon Hill gives many examples one of which is the case of Henry Ford
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one of Henry Ford's most outstanding qualities was his habit of reaching decisions quickly and definitely and changing them slowly this quality was so pronounced in the late mr. Ford that it earned form the reputation of being obstinate it was this quality which prompted mr. Ford to continue to manufacture his famous Model T the world's ugliest but for the time most
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practical car when all of his advisors and many of the purchases of the car were urging him to change it perhaps he delayed too long in making the change but the other side of the story is that his firmness of decision yielded a huge fortune before the change in model became necessary and the company's certainly none the worse for today when you make up your mind stay with it the
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Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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n3g2DlmZsLg
majority of people who fail to make the grade are generally easily influenced by the opinions of others easily swayed they permit the newspapers and the gossiping neighbors to do their thinking for them opinions are the cheapest commodities on earth keep your own counsel when you begin to put into practice the principles we're describing here by reaching your own decisions and
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https://www.youtube.com/watch?v=n3g2DlmZsLg&t=1412s
Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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n3g2DlmZsLg
following them take no one into your confidence except the members of your mastermind group and be very careful in your selection of this group that you choose only those who will be in complete sympathy and harmony with your purpose close friends and relatives while not meaning to do so often handicapped one through a opinions and sometimes through ridicule
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https://www.youtube.com/watch?v=n3g2DlmZsLg&t=1431s
Napoleon Hill's Think & Grow Rich Condensed and Narrated by Earl Nightingale
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