Olivia
Online
Mirren
@0gMirren
control your mind
Joined July 2026
22 Following
356 Followers
35 Posts
A business lawyer stands at a whiteboard and writes one word at the top: cynicism. He calls it the first trait every successful founder has.
The man is Cliff Ennico.
A bare classroom, marker on white, no deck, no stage lights. Part 1 of a 6-part series on starting a small business.
He works down a numbered list. Around the 18-minute mark he reaches fear of security, and the argument turns against everything an employee has been taught to want.
Then he runs a pop quiz on the room near 22.05.
Every founder course sells the plan. He spends the first hour on who you are.
One whiteboard. 5 traits. It is in the video.
https://t.co/uYZyQRGybo
The price of the seminar is written on the whiteboard behind him. 5,000 dollars. He then teaches the room how to get money out of other people.
Robert Kiyosaki wrote the best selling personal finance book of the past 30 years and built a business around the education that came after it. This is one instalment of a 3 day event, filmed and released for nothing while the event itself carried that number on the board.
His claim is that raising capital is the number one skill an entrepreneur has. Above the product, above operations, above anything taught as a subject. No money in, nothing downstream exists.
He goes through his own first venture and what it actually took to get funded, which is where the usable material sits.
The turn is what the recording captures without meaning to. He is performing the skill while describing it. A room is being walked toward a decision by a man explaining how to walk rooms toward decisions, with the price visible in frame throughout.
It matters more now. Half your feed is built on this exact structure, and almost none of it shows you the number on the board.
Free, filmed at a paid event, posted by the company that sold the tickets.
Watch what he does, not what he says he does.
1 whiteboard. 1 price. It is in the video.
https://t.co/uYZyQRGybo
The man who runs the largest hedge fund on earth walked a hotel ballroom in Abu Dhabi through the machine he uses to read the world economy. Almost nobody watches it.
This is Ray Dalio, March 2019, a Four Seasons conference room, laying out the economic and investment principles he built over 25 years of running money.
No interviewer. No book tour. A clicker in his hand and slides he clearly wrote himself.
He treats the economy as a machine with a small number of moving parts. Debt cycles, productivity, and the short-term swings everyone mistakes for the whole story.
Then he turns it on portfolios. The question is not which asset wins, it is how many uncorrelated return streams you can actually hold at once.
Watch the stretch where he explains how he diversifies. He puts a number on how much risk drops as the count of independent bets goes up, and the number is larger than most managers assume.
A quant who allocates across 6 strategies rewatched that segment twice with a notebook open.
Newsletters sell you the forecast. He gives you the machine.
https://t.co/sZuwhyshfT
The third richest man on earth drove a television reporter around his own town himself, in his own car, with no security following.
The man is Warren Buffett. He has run Berkshire Hathaway since 1965 and still lives in the house in Omaha he bought in 1958 for 31,500 dollars.
A car interior, two people in the front, winter outside the window. He is driving. Rebecca Jarvis is in the passenger seat with a camera mounted on the dashboard.
He points things out as they pass. The route he takes to the office. The places that matter to him in a city of 500,000 people, none of which look like anything.
There is no motorcade. No assistant in a second vehicle. Nobody on the pavement recognises the car.
The turn is what the ordinariness is actually made of. He gave away the ability to spend it long before the money arrived at this size, and the life you are watching is not modest by accident. It is the result he was optimising for.
It matters now. Every feed is built to make the opposite look like the point, and the man with the largest number lives in a way that would not register as an upgrade to most people watching.
Free, broadcast tape, a dashboard camera and 2 seats.
He kept the house from 1958 and gave the rest away.
1 car. 1 town. It is in the video.
https://t.co/uYZyQRGybo
An Indian institute of technology filmed a full quantitative finance course and put it online for nothing. Trading firms charge five figures to teach a fraction of it.
The course comes out of IIT Kanpur under NPTEL, India's national open courseware programme. This is the introduction, where the lecturer lays out what the subject covers before anybody has committed a semester to it.
A green chalkboard, a lapel microphone, a plain shirt, one fixed camera. Twenty-nine minutes.
He sets the structure first. Probability and stochastic processes for finance, then the models that sit on top of them, then what those models are actually being asked to price.
The order is the point. Most people arrive at quantitative finance through a library and a tutorial, learn to call the function, and never see the probability layer underneath.
The turn is what he says the subject is for. Not prediction. The mathematics exists to put a price on uncertainty you have already agreed to carry, and confusing those two is where retail quant work dies.
It matters more now. Every model is a package install away, and the scarce thing is knowing which assumption you inherited when you imported it.
Free on YouTube, chapters listed, a full course in sequence, funded by a public programme.
The whole curriculum is public. Almost nobody reaches lecture 2.
Course introduction. 29 minutes. It is in the video.
https://t.co/sZuwhyshfT
Before there was a single financial news channel, one man explained the stock market to America for half an hour on a Friday night. He did it for 30 years.
The man is Louis Rukeyser. His programme ran from 1970 on public television, and at its peak the audience for a weekly market show was larger than most prime time entertainment.
A studio set dressed as a trading floor, ticker paper scattered across the ground, a beige terminal with a green chart glowing on the desk beside him.
This is the retrospective, cut from the show's own archive. Bear markets, crashes, panics, recoveries, each explained in real time by a host who did not know how the story ended.
The clips are the substance. You watch professionals be confident in the wrong direction, then confident again, then correct, across decades.
The turn is what compression does to you. Every episode felt urgent when it aired. Stacked together the pattern is obvious, and nobody inside it could see it.
It matters more now. There is a market channel on every screen updating every second, and the ratio of signal to noise has gone the wrong way since one man had 30 minutes a week.
Free on YouTube, off-air tape, uploaded by a private account.
He got half an hour a week and the country listened.
30 years. 1 studio. It is in the video.
Before there was a single financial news channel, one man explained the stock market to America for half an hour on a Friday night. He did it for 30 years.
The man is Louis Rukeyser. His programme ran from 1970 on public television, and at its peak the audience for a weekly market show was larger than most prime time entertainment.
A studio set dressed as a trading floor, ticker paper scattered across the ground, a beige terminal with a green chart glowing on the desk beside him.
This is the retrospective, cut from the show's own archive. Bear markets, crashes, panics, recoveries, each explained in real time by a host who did not know how the story ended.
The clips are the substance. You watch professionals be confident in the wrong direction, then confident again, then correct, across decades.
The turn is what compression does to you. Every episode felt urgent when it aired. Stacked together the pattern is obvious, and nobody inside it could see it.
It matters more now. There is a market channel on every screen updating every second, and the ratio of signal to noise has gone the wrong way since one man had 30 minutes a week.
Free on YouTube, off-air tape, uploaded by a private account.
He got half an hour a week and the country listened.
30 years. 1 studio. It is in the video.
https://t.co/sZuwhyshfT
A man whose betting turnover passed 70 billion Hong Kong dollars in a single year stood at a mathematics conference lectern and gave the talk away.
The man is Bill Benter. He quit university at 22, counted cards in cheap Vegas casinos, got blacklisted in 1984, and built a computer model for Hong Kong horse racing that ran for decades. He also wrote the paper on it and published it.
A conference hall in 2004. A lectern, a projected title slide, an audience of mathematicians. Not a betting seminar. A congress on mathematics, where he is one speaker among many.
He starts with the history of probability theory and how it grew out of people trying to win at games of chance. Then he works forward to his own field.
The mechanism he describes is a multinomial logit model. He is not exploiting bad odds set by a bookmaker. In pari-mutuel betting the crowd sets the price, so he is trading against the aggregate opinion of everybody else at the track.
The turn is what that implies. His edge is not knowledge of horses. It is a measurable, repeatable gap between what a crowd believes and what actually happens.
It matters more now. Every prediction market, every retail platform, every model you touch is the same problem in different clothing.
Free on YouTube, filmed from the audience, the slide screen washing out the frame.
The paper was published. The turnover still passed 70 billion.
1 model. 1 conference talk. It is in the video.
A man whose betting turnover passed 70 billion Hong Kong dollars in a single year stood at a mathematics conference lectern and gave the talk away.
The man is Bill Benter. He quit university at 22, counted cards in cheap Vegas casinos, got blacklisted in 1984, and built a computer model for Hong Kong horse racing that ran for decades. He also wrote the paper on it and published it.
A conference hall in 2004. A lectern, a projected title slide, an audience of mathematicians. Not a betting seminar. A congress on mathematics, where he is one speaker among many.
He starts with the history of probability theory and how it grew out of people trying to win at games of chance. Then he works forward to his own field.
The mechanism he describes is a multinomial logit model. He is not exploiting bad odds set by a bookmaker. In pari-mutuel betting the crowd sets the price, so he is trading against the aggregate opinion of everybody else at the track.
The turn is what that implies. His edge is not knowledge of horses. It is a measurable, repeatable gap between what a crowd believes and what actually happens.
It matters more now. Every prediction market, every retail platform, every model you touch is the same problem in different clothing.
Free on YouTube, filmed from the audience, the slide screen washing out the frame.
The paper was published. The turnover still passed 70 billion.
1 model. 1 conference talk. It is in the video.
https://t.co/sZuwhyshfT
A hedge fund manager stood in a Columbia classroom in 2005 and taught 30 students how to value Blockbuster. Nobody in the room knew what was coming.
The man is Joel Greenblatt. He ran Gotham Capital from 1985 to 1994 at roughly 50% a year, turning 7 million dollars into 500 million, then returned all outside capital and kept teaching anyway. The guest that day is Brian Gaines of Springhouse Capital.
A classroom on 4 November 2005. Whiteboard, a camera at the back, students who had submitted their own valuations before the session.
The subject is declining businesses. Hollywood Video and Blockbuster, at the moment when the physical rental model still generated real cash and the terminal question was already sitting there.
Netflix was 7 years old. The word streaming barely existed. Blockbuster still had thousands of stores.
Then he does the part that makes the tape worth finding. He puts up the students' own valuations and takes them apart in front of the room. Their assumptions, their exit multiples, their reasoning.
The turn is what he shows about declining assets. Cheap is not the same as safe, and the difference lives entirely in one line of the model.
It matters more now. Half the market is holding businesses whose cash flows look fine and whose terminal value is a guess about software nobody has shipped yet.
Free on YouTube, filmed from the back row, uneven audio, uploaded by someone with no institution behind them.
They valued Blockbuster in 2005 and argued about the exit multiple.
One classroom. One dying business. It is in the video.
A hedge fund manager stood in a Columbia classroom in 2005 and taught 30 students how to value Blockbuster. Nobody in the room knew what was coming.
The man is Joel Greenblatt. He ran Gotham Capital from 1985 to 1994 at roughly 50% a year, turning 7 million dollars into 500 million, then returned all outside capital and kept teaching anyway. The guest that day is Brian Gaines of Springhouse Capital.
A classroom on 4 November 2005. Whiteboard, a camera at the back, students who had submitted their own valuations before the session.
The subject is declining businesses. Hollywood Video and Blockbuster, at the moment when the physical rental model still generated real cash and the terminal question was already sitting there.
Netflix was 7 years old. The word streaming barely existed. Blockbuster still had thousands of stores.
Then he does the part that makes the tape worth finding. He puts up the students' own valuations and takes them apart in front of the room. Their assumptions, their exit multiples, their reasoning.
The turn is what he shows about declining assets. Cheap is not the same as safe, and the difference lives entirely in one line of the model.
It matters more now. Half the market is holding businesses whose cash flows look fine and whose terminal value is a guess about software nobody has shipped yet.
Free on YouTube, filmed from the back row, uneven audio, uploaded by someone with no institution behind them.
They valued Blockbuster in 2005 and argued about the exit multiple.
One classroom. One dying business. It is in the video.
https://t.co/uYZyQRGybo
MIT filmed its entire finance course in the autumn of 2008, while the system the course describes was breaking outside the building.
The man is Andrew Lo. He directs the MIT Laboratory for Financial Engineering, and he is the one who proposed the Adaptive Markets Hypothesis, the argument that markets are not efficient machines but ecosystems that evolve under pressure.
A lecture hall, a projector, a suit, chalkboards behind him. Session 1 of 15.401, Finance Theory I, autumn 2008. Lehman had collapsed in September.
He opens by explaining what finance actually is and how he ended up in it. Not a definition from a textbook. His own route in, and why the subject earned his attention.
Then he lays out the course, and the order tells you the argument. Present value first. Then valuation. Then risk, portfolios, options. Every tool assumes markets behave rationally, and he is teaching them in the semester where markets did not.
The turn is that he does not treat that as a contradiction. He teaches the framework properly first, because you cannot see where a model breaks until you can run it.
It matters now. Every trading system, every risk model, every pricing library you touch is downstream of this one course.
Free on MIT OpenCourseWare, all 15 sessions, filmed from the back of the room.
MIT gave away the whole degree. Almost nobody finished the playlist.
15 sessions. Autumn 2008. It is in the video.
MIT filmed its entire finance course in the autumn of 2008, while the system the course describes was breaking outside the building.
The man is Andrew Lo. He directs the MIT Laboratory for Financial Engineering, and he is the one who proposed the Adaptive Markets Hypothesis, the argument that markets are not efficient machines but ecosystems that evolve under pressure.
A lecture hall, a projector, a suit, chalkboards behind him. Session 1 of 15.401, Finance Theory I, autumn 2008. Lehman had collapsed in September.
He opens by explaining what finance actually is and how he ended up in it. Not a definition from a textbook. His own route in, and why the subject earned his attention.
Then he lays out the course, and the order tells you the argument. Present value first. Then valuation. Then risk, portfolios, options. Every tool assumes markets behave rationally, and he is teaching them in the semester where markets did not.
The turn is that he does not treat that as a contradiction. He teaches the framework properly first, because you cannot see where a model breaks until you can run it.
It matters now. Every trading system, every risk model, every pricing library you touch is downstream of this one course.
Free on MIT OpenCourseWare, all 15 sessions, filmed from the back of the room.
MIT gave away the whole degree. Almost nobody finished the playlist.
15 sessions. Autumn 2008. It is in the video.
https://t.co/uYZyQRGybo
Everyone knows what happened on Black Monday. Almost nobody has watched the Friday before it.
The tape is Friday 16 October 1987. Louis Rukeyser opens the show. The panel is Martin Zweig, Mary Farrell, Louis Holland and Allen Sinai, talking about where the market goes from here.
The following Monday the Dow fell 22.6%. The largest one day percentage drop in the history of the American stock market.
Nobody in the studio knows that.
That is the whole reason to watch. Zweig is the interesting one. He was among the very few on record warning about what was coming, and you can hear how the warning actually sounded in the room, sitting next to people who did not share it.
Not a prediction clip cut after the fact. The uncut opening of the broadcast, in the last week when the numbers still looked fine.
There is a moment in the first 10 minutes where the tone shifts, and knowing the date makes it hard to sit through.
A fund manager rewatched it twice, then pulled his own memos from January.
Everything in the room was reasonable. Everything in the room was 3 days early.
Everyone knows what happened on Black Monday. Almost nobody has watched the Friday before it.
The tape is Friday 16 October 1987. Louis Rukeyser opens the show. The panel is Martin Zweig, Mary Farrell, Louis Holland and Allen Sinai, talking about where the market goes from here.
The following Monday the Dow fell 22.6%. The largest one day percentage drop in the history of the American stock market.
Nobody in the studio knows that.
That is the whole reason to watch. Zweig is the interesting one. He was among the very few on record warning about what was coming, and you can hear how the warning actually sounded in the room, sitting next to people who did not share it.
Not a prediction clip cut after the fact. The uncut opening of the broadcast, in the last week when the numbers still looked fine.
There is a moment in the first 10 minutes where the tone shifts, and knowing the date makes it hard to sit through.
A fund manager rewatched it twice, then pulled his own memos from January.
Everything in the room was reasonable. Everything in the room was 3 days early.
https://t.co/uYZyQRGybo
The British government spent 3.3 billion pounds in one day defending a number, and lost.
On 16 September 1992 the Bank of England raised the base rate from 10% to 12% before lunch, then announced a second rise to 15% in the afternoon. The second rise never took effect. By 7.30 p.m. Norman Lamont was standing outside the Treasury announcing that sterling was leaving the Exchange Rate Mechanism.
Britain had joined the ERM in October 1990 at 2.95 German marks to the pound, with a floor near 2.778. Holding that floor was the entire policy. The Bank bought pounds all morning with reserves it could not replace.
On the other side, Stanley Druckenmiller was running a short sterling position for the Quantum Fund. He wanted to build it gradually. George Soros told him to go for the jugular. The position reached roughly 10 billion dollars. The fund cleared over 1 billion.
The trigger was an interview. Helmut Schlesinger of the Bundesbank spoke to a German paper on 15 September, and the wire version suggested a broader realignment was coming. Traders read it the same way.
The documentary reconstructs the day from the inside. Trading floors, Treasury corridors, the people who were in the room while the rate moved.
Sterling fell about 15% against the mark over the following weeks. The UK moved to inflation targeting soon after, and the economy recovered fast enough that some economists renamed the day White Wednesday.
Nobody in the Treasury was trading. That was the asymmetry.
The 3.3 billion pounds bought Britain a monetary framework it still uses.
The British government spent 3.3 billion pounds in one day defending a number, and lost.
On 16 September 1992 the Bank of England raised the base rate from 10% to 12% before lunch, then announced a second rise to 15% in the afternoon. The second rise never took effect. By 7.30 p.m. Norman Lamont was standing outside the Treasury announcing that sterling was leaving the Exchange Rate Mechanism.
Britain had joined the ERM in October 1990 at 2.95 German marks to the pound, with a floor near 2.778. Holding that floor was the entire policy. The Bank bought pounds all morning with reserves it could not replace.
On the other side, Stanley Druckenmiller was running a short sterling position for the Quantum Fund. He wanted to build it gradually. George Soros told him to go for the jugular. The position reached roughly 10 billion dollars. The fund cleared over 1 billion.
The trigger was an interview. Helmut Schlesinger of the Bundesbank spoke to a German paper on 15 September, and the wire version suggested a broader realignment was coming. Traders read it the same way.
The documentary reconstructs the day from the inside. Trading floors, Treasury corridors, the people who were in the room while the rate moved.
Sterling fell about 15% against the mark over the following weeks. The UK moved to inflation targeting soon after, and the economy recovered fast enough that some economists renamed the day White Wednesday.
Nobody in the Treasury was trading. That was the asymmetry.
The 3.3 billion pounds bought Britain a monetary framework it still uses.
https://t.co/uYZyQRGybo
A Cambridge physicist walks onto the Royal Institution stage and tells the room that particles do not exist.
This is David Tong, professor of theoretical physics at Cambridge, specialising in quantum field theory.
The claim is not metaphor. According to the best theories physics has, the universe is made of continuous fluid-like fields filling all of space. What we call an electron is a ripple in one of them.
Every electron in existence is identical because they are all disturbances in the same underlying object. That fact has no explanation in a picture made of tiny balls.
Watch how he handles the switch from particles to fields. He never asks the audience to accept it, he shows what the particle picture cannot explain and lets the gap do the work.
A research engineer I know rewatched the middle section twice and said matter stopped feeling like objects.
Free on YouTube from the Royal Institution, subtitles on, separate Q&A linked.
You are not made of things. You are made of ripples.
A Cambridge physicist walks onto the Royal Institution stage and tells the room that particles do not exist.
This is David Tong, professor of theoretical physics at Cambridge, specialising in quantum field theory.
The claim is not metaphor. According to the best theories physics has, the universe is made of continuous fluid-like fields filling all of space. What we call an electron is a ripple in one of them.
Every electron in existence is identical because they are all disturbances in the same underlying object. That fact has no explanation in a picture made of tiny balls.
Watch how he handles the switch from particles to fields. He never asks the audience to accept it, he shows what the particle picture cannot explain and lets the gap do the work.
A research engineer I know rewatched the middle section twice and said matter stopped feeling like objects.
Free on YouTube from the Royal Institution, subtitles on, separate Q&A linked.
You are not made of things. You are made of ripples.
https://t.co/t7e1VmXRZH
A future Nobel laureate teaches the opening lecture of MIT's thermodynamics course, and starts by pointing out you are burning calories while sitting still.
This is 5.60, Thermodynamics and Kinetics, Spring 2008, taught by Moungi Bawendi and Keith Nelson. Bawendi shared the 2023 Nobel Prize in chemistry for quantum dots.
Lecture 1 covers the state of a system, the 0th law, and the equation of state. The 0th law is the one nobody talks about: it defines what temperature even means before any other law can be stated.
Every datacentre cooling budget, every thermal throttle on a GPU, every efficiency limit on a chip is downstream of this hour.
Watch how he defines a system. Draw a boundary, name what crosses it, and everything else in the subject follows from that choice.
A hardware engineer I know rewatched the state variables section twice and said thermal design stopped being guesswork.
Free on YouTube under Creative Commons, chalk on a board, real students in the room.
The Nobel came in 2023. He was teaching the first lecture in 2008.
Last Seen Users on Sotwe
Most Popular Users
Elon Musk
@elonmusk
241.3M followers
Barack Obama
@barackobama
119.1M followers
Cristiano Ronaldo
@cristiano
113M followers
Donald J. Trump
@realdonaldtrump
111.8M followers
Narendra Modi
@narendramodi
107.1M followers
Rihanna
@rihanna
98.3M followers
NASA
@nasa
92.3M followers
Justin Bieber
@justinbieber
91.5M followers
KATY PERRY
@katyperry
89.1M followers
Taylor Swift
@taylorswift13
83M followers
Lady Gaga
@ladygaga
74.5M followers
Virat Kohli
@imvkohli
72M followers
Kim Kardashian
@kimkardashian
70.5M followers
YouTube
@youtube
68.8M followers
Neymar Jr
@neymarjr
65M followers
Bill Gates
@billgates
64.6M followers
The Ellen Show
@theellenshow
62.4M followers
Selena Gomez
@selenagomez
62.2M followers
CNN
@cnn
61.8M followers
X
@x
60.8M followers