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  • Good afternoon!

  • It's a very special afternoon, so I want to welcome distinguished guests, students, faculty,

  • and friends to this really special event.

  • The inaugural Ernest S. Kuh distinguished lecture.

  • Each year, the Kuh lecture will bring to campus an outstanding leader in the field of engineering.

  • We are delighted that Dr. Andy Grove will launch this wonderful event today.

  • I'd like to thank our student co-sponsors for helping with today's event.

  • The Berkeley chapter of the bioengineering society, and a new group on campus that was

  • chartered just this year - we are proud to welcome them, they are called "O Stem", Out

  • in Science, Technology, Mathematics to the college community.

  • And those are the guys in the engineering shirts - Here, and they should be all around.

  • I want to pay special tribute today to Ernie Kuh, the former dean of the college of engineering,

  • professor emeritus, and a trailblazer in the design of integrated circuit systems.

  • Kuh Lecture was endowed through the generosity of Ernie and his wife Patine, and they're

  • both here with us today.

  • Ernie's achievements are many.

  • His pioneering work has had a huge impact on electronics.

  • Particularly the design of IC's.

  • He was a cofounder of cadence design, transferring his research achievements to industry.

  • At Berkeley, he was teacher and mentor to some 40 PHD students.

  • As Dean of Engineering, from 1973-1980, he contributed nationally to the advancement

  • of engineering education.

  • His tenure was marked by great growth in the college - in fact, the Bechdel Engineering

  • Center where we sit today is a part of Ernie's efforts as dean.

  • Ernie is a member of the national academy of engineering, the Chinese academy of sciences,

  • and the recipient of a host of top ons.

  • In 2008, he was inducted into the silicon valley hall of fame.

  • It's an honor to be his Berkeley colleague.

  • And I might say he was dean when I was a student at Berkeley, as well.

  • Ernie, I'd like to present you with a memento to commemorate this inaugural event.

  • [applause]

  • This would normally have been my cue to say, "I'd like to join you in this case to say

  • a few words", but professor Kuh has a very, very sore throat.

  • And as a result, he has lost his voice.

  • So, I will welcome his son to the stage, and please Tim come to the stage to

  • But before I hand it off to you, come up to the stage!

  • Come on!

  • [laughter]

  • Come on!

  • Come on!

  • [laughter]

  • Before I do that, I'd like to aknowledge and thank Patine, for her many years of support

  • to the college.

  • And we are all most grateful.

  • Thank you very much Patine!

  • [applause]

  • Ernie and Patine's two sons are both alumni of Cal, and Tony is on the faculty as the

  • chair of electrical engineering and science at the University of Hawaii.

  • He can't be here, but his wife and family are here.

  • And Ted is also an alumnus from the Haas school of business, and he's here, and I think he's

  • now going to pitch in for Ernie and talk a few words.

  • Please.

  • [applause]

  • Good afternoon.

  • Well, today started with a 7am call from my mother, who unfortunately told me that my

  • father was under the weather and had totally lost his voice, so I'm a pinch hitter for

  • my father's speech.

  • I asked my mom actually to give the speech because she was, is, significantly responsible

  • for my dad's success and I have nothing to do with his success.

  • [laughter]

  • So I've made a few editorial changes - dad, I hope you don't mind.

  • [laughter]

  • Here goes.

  • Thank you Dean Shastry for your generous remarks.

  • I am truly grateful.

  • Thank you Chancellor Bourgenoe for attending.

  • Patine and I are so very happy to endow this wonderful lecture series.

  • I came to UC Berkeley in 1956 from Bel Labs.

  • I supervised many excellent PHD students.

  • Some of them are here today.

  • And I enjoyed working with faculty, staff, and campus leaders, including chancellor Elbert

  • Boucher, chancellor Michael Hayman, and chancellor Tian.

  • Meeting my wife Patine some 55 years ago has been the highlight of my life.

  • I want to also mention our two sons, Tony and Ted.

  • Tony is a professor and chair of electrical engineering at the university of Hawaii.

  • Ted is an investment banker, most recently with Citigroup, and next term he will teach

  • a finance course at Cal at the Haas school of business.

  • I owe a great debt in my career to many faculty colleges whose friendship I have greatly valued.

  • I want to mention just a few.

  • My good friend and schoolmate from Stanford, Don Peterson, brought me here from New Jersey,

  • and I have been here ever since.

  • With Charlie Dissor, my classmate from MIT, I wrote two well-received textbooks.

  • The best teacher I ever had was Ernie Gilleman of MIT, who taught me how to teach.

  • And finally, Lot Fizade, a Berkeley computer science professor whom I succeeded as chairman

  • of EECS and gave me invaluable support and advice when I served as dean.

  • I also want to say a few words about our distinguished speaker.

  • I have read Andy Grove's books, and have always been enormously impressed by his achievement

  • in science and technology.

  • His role in the invention of the microprocessor changed the world.

  • When I visited him at Intel when he was CEO, he sat in a cubicle in the middle of a huge

  • room, working side-by-side with his fellow employees.

  • Indeed, he was a pioneer in both technology and modern management.

  • I thank Andy and all of you for being here.

  • Thank you.

  • [applause]

  • Well, thank you so much everyone for coming to this lecture, and thank you Ernie for making

  • the lecture possible in the first place.

  • This new Kuh lecture expands the wonderful legacy that you've given Berkeley as dean

  • and professor, and we're deeply grateful.

  • One of the special privileges of being chancellor is that one gets to meet many remarkable people.

  • Great leaders, great spirits, big thinkers, captains of industry.

  • But it's very unusual to find all of the attributes that I just described in one single person.

  • But this case, in today's speaker, Andy Grove, we indeed have such a rare individual.

  • As everyone here knows, Andy is a true legend in the electronics industry and in the growth

  • of silicon valley.

  • Not only because of his achievements and leadership in technology and business, but because of

  • his personal dynamism and his commitment to reaching for big, new, game changing ideas.

  • I guess, Shankar, that means he was the inventor of big ideas.

  • Andy earned his PHD at Berkeley in chemical engineering in 1963.

  • Five years later, he founded INTEL corporation, with fellow Berkeley alumni Robert Noice and

  • Gordon Moore.

  • He's lead the company as it's former chairman, CEO, and president.

  • And today, he remains as senior advisor at Intel.

  • He's done pioneering work for technology, is the author of six books, and nearly single-handedly

  • shaped what today are the best practices for managing high tech enterprises.

  • He's won nearly every honor around, from election to the national academy of engineering, and

  • I have to say Andy, the following I like especially - he was selected one year as Time Magazine's

  • "Man of the Year".

  • Recently, some of you may have seen that the Wall Street Journal published an article about

  • Silicon Valley Leaders who are involved in helping undocumented young people gain access

  • to higher education and jobs.

  • Andy Grove, together with his spouse Eva, are among those admirable leaders who have

  • courageously supported educational access for undocumented youth.

  • Understanding that it is an issue important not only to sustaining equal opportunity but

  • also to the economic health competitiveness of California and US more broadly.

  • In fact, I wish we'd had you here yesterday because at the end of the day yesterday we

  • had a reception to celebrate the first scholarships that we've been able to give to our undocumented

  • students because of the path they chose, AB130, and next year, as of AB131 we'll be able to

  • provide them conventional financial aid, including cal grants, and it was probably one of the

  • most inspiring events I've been at since I became chancellor of Berkeley.

  • We though there were about 50 undocumented students, and 140 have turned up and gotten

  • financial aid.

  • These are courageous, wonderful young people.

  • At Berkeley, we are proud to call Andy a very good friend.

  • He's been a benefactor and a sound advisory to a succession of chancellors, including

  • myself and deans of engineering, including the two of them sitting there and several

  • others in the audience.

  • In recent years, he has turned his efforts to advancing medicine and patient care.

  • He's been patient advocate at UCSF and has worked to further research on prostate cancer

  • and Parkinson's disease.

  • He does great work in many areas, through the Grove Foundation, and we are proud to

  • have with us today his partners in that effort, his wife Eva, but also his daughter Karen,

  • who's a Berkeley engineering alumni.

  • [applause]

  • As you will learn today, he is passionate about shortening the time it takes to translate

  • new technology to better, affordable patient care.

  • Central to that effort, he has been a driving force in the creation of a master of transnational

  • medicine degree program, which is awarded jointly by UC Berkeley and by UC San Francisco.

  • It is my great pleasure to welcome Dr. Andy Grove.

  • [applause]

  • One more remark.

  • [applause]

  • Andy, before you begin your talk, I'd like to mark this occasion in a special way.

  • The Chancellor's Citation is given to distinguished visitors whose presence honors our campus

  • and achievements the university salutes.

  • And to celebrate your remarkable career and your long partnership with your alma mater,

  • we are delighted to award you the chancellor's citation.

  • [applause]

  • As I was listening, I wondered if you were counted among the immigrants?

  • Congratulations!

  • [applause]

  • Before I start my talk, I would like to explain the title.

  • The title is a little bit of history.

  • As the chancellor said, I have been concerned about the speed with which medical developments

  • take place and compared several occasion how we do similar things, how we increase the

  • learning process to get results faster.

  • I discovered that whenever I made these comparisons, fairly aggressive blog writers crapped on

  • my head.

  • Berkeley.

  • Mario Savio would agree.

  • The only good news about this - he was consistently complaining about microchips are not men,

  • and men are not microchips.

  • But as he kept doing this, he decided to call the possibility of comparing these two things

  • as the andigrove fallacy.

  • If you knew me well, you would know that I am green with envy every time I hear about

  • Moore's law.

  • [laughter]

  • Well, Gordon, you don't have a fallacy.

  • [laughter]

  • The problem with the speed of discovery is that

  • a small part of - it's a very serious problem.

  • Economically, it is single-handedly capable of doing major harm to the US economy, comparable

  • to a handful of wars, financially.

  • The more we drive the engine, the less it wants to move.

  • This is one of an infinite number of statistics showing that when you compare the United States

  • to advanced countries, life expectancy - there is an advantage to being in the US.

  • US medicine did do something with all the money that we spent on it, but it seemed like

  • we are driving the whole thing into separation.

  • So how do we break out of that situation where the more we spend, the best we can hope for

  • is to not make things worse.

  • Before even thinking about that question, I want to tell you about the US government's

  • part and participation in this problem is.

  • It takes the shape of two very major organizations.

  • Lots of PHD employees of longterm standing, dedicated and hardworking people - not alltogether

  • different from an academic campus.

  • The NIH is responsible for developing science for medical use, the FDA is supposed to make

  • sure that when the science becomes a drug it is safe and effective.

  • And CMS is - how many of you know what CMS is?

  • Two?

  • Four?

  • CMS is your building agency and healthcare matters.

  • Every time you get a statement Your treatment - which I will not remind you what it is - would

  • have cost you two million dollars.

  • But since we give a major discount, it only costs 20,000 dollars.

  • That is the work product of this CMS driven financial system.

  • I want to talk a little bit about each of these blocks.

  • By the way, I should say the person who writes the blogs might as well say that these are

  • my personal opinions.

  • Occasionally supported by data.

  • [laughter]

  • My data is no worse than his data.

  • My opinion is better than his.

  • [laughter]

  • The NIH is responsible for the scientific work.

  • And there's a phrase using the principle of the phrase to prioritize what gets funded

  • and what doesn't.

  • And that phrase is, "When everybody has left these medical science business, we want the

  • best science."

  • Best is hard to quantify, but at least it ought to be directionally definable.

  • It isn't.

  • It is the instruction given to groups of people to judge the merits of different proposals.

  • Best wins.

  • And if the people disagree, there's no metric.

  • Relatively few facts that set the value.

  • Consequently, there seems to be an arbitrary referendum to make decisions of the NIH which

  • over a long period of time average out.

  • But in facing any given problem, this vague instruction does not help focus.

  • The second building block I want to talk about is the FDA.

  • The food and drug administration.

  • That doesn't have anything to do with food, it has a great deal to do with drugs, and

  • it is probably one of the strengths of the US medical system we have a strong organization

  • dedicated to make sure that drugs are safe.

  • This responsibility was given to the FDA many years ago back in the 1930s.

  • And it is a fairly simple one.

  • Actually, when you start arguing any safe turning into a carcinogen, you have to go

  • to congress to get a definition.

  • What is worse, the FDA has shown, or was urged to evolve admission in a creeping fashion

  • where in the 1960s, due to a variety of things that took place, the senate passed an addendum

  • to the law that gave it a responsibility for effectiveness.

  • So thereafter, a drug could only be taken by you if it was safe and if it was effective.

  • Effectiveness is even harder to define than safe.

  • I can illustrate that.

  • This is a mortality curve.

  • Percentage of people surviving at any given time.

  • It happens to be the victorious result of 20 years of work and prostate cancer immunotherapy,

  • and I dare say that if you wanted to bet with me that if we did the same trial over with

  • another cohort, there would be as much difference between the two cohorts as between the drug

  • and the control.

  • Nevertheless, this has become an accepted medication.

  • The FDA said that it was safe and effective.

  • The treatment cost about 100,000 dollars a year.

  • The effectiveness, if what you see is real, is pretty minimal.

  • What are we not spending money on, when you spend 100,000 on someone like me - I could

  • very well be a candidate for that - and get a few more months of life?

  • It's a very hard question.

  • What is not hard is to face the fact that a dollar is a dollar.

  • If you spend it on one project, it did not get to be spent on another one.

  • So with your judgment - as much as it is odius, as much as it is a lot more controversial

  • than going after the best science - is mandatory, because dollars are finite.

  • So what happens when you have severe conditions imposed by a drug that you barely understand?

  • You reject a lot of them.

  • And every time you reject a drug, the surviving drug is a lot more expensive, because the

  • cost of the failed drug has to be lumped on something, and it lumped on the survivors.

  • How much more expensive - this is a chart showing the cost of the surviving drugs as

  • a function of time, in billions of dollars.

  • A few thousand years ago, the only thing that civilization was able to do, to build, to

  • spend on, that was of that kind of magnitude, was the great pyramids.

  • You can actually go back and calculate the workflow, the hours spent, the cost per hour

  • (because even slaves cost money) and come up, you think of when you think of an FDA

  • approved drug, think of the great pyramids of Giza.

  • And it takes a long time.

  • And it is getting longer and longer.

  • People are not chips and chips are not people.

  • 14 years is the last number that I could find.

  • It is eight years old itself.

  • But it's a very, very troublesome time.

  • It is very troublesome because it causes people who live out of the success of their investment,

  • where the success is measured by the money you make and how fast you make that money.

  • An undesirable activity in the field of medicine.

  • This year, particularly, DC firms withdrew fairly rapidly from the healthcare department,

  • and the cash in the seed start ups looks like a rock dropping.

  • I am not bleeding for venture capitalist's personal wellfare.

  • I am bleeding because venture capitalists so happen - can be shown to be the most effective

  • way to move the results from the lab to the market.

  • You can wave your arms - I can wave my arms.

  • Why?

  • It has been true that both because the regular systematic mechanisms are slow and because

  • the entrepreneurial problem solving mentality present in the venture system is good.

  • And it is exactly that - this effective capital use - effective in the terms of speed, that

  • is withdrawn from the market.

  • The second problem, which I can't prove with other people's data because they don't even

  • look for it, when you invest in a new drug or a new procedure, you are motivated by finding

  • a solution to a life-science problem for a good result.

  • You come up with a drug, you sell the drug, everybody is happy.

  • Well, almost everybody.

  • But, if you come up a manual method, that does the same thing as the other one, at a

  • fraction of the cost, I call that cost motivation, it is also good, if we took that prostate

  • cancer drug and came up with a way to deliver that effect for a fraction of what it cost,

  • I would be less critical of it.

  • Very few investments appear to be clearly motivated by cost analytics.

  • In fact I was prepared to say that in an effort to be prepared for this talk, I couldn't find

  • even one.

  • I was at a meeting on Monday, where this new class of this Mathis program that you heard

  • about a minute ago, we participated in that and picked a project.

  • I had to pinch myself.

  • Half of the projects were cost motivated.

  • That is an exceedingly good development even if it happened by mistake.

  • Now there is one

  • more problem that cannot with the FDA, MIH.

  • These results that you develop to justify that your product

  • is safe and cost effective are literally loaded on a crock in a typical case.

  • They are not digits.

  • They are paper.

  • They are driven to Bethesda, the decision is random, put into long term storage that

  • looks something like what you have here - just a lot bigger.

  • I hesitate to ask, how many of you are comfortable with the phrase "big data"?

  • Not as much of a difference as I thought.

  • In an age where digital processing is practically free, where digital storage is practically

  • free, you can build deposits of data in incredible amounts and process them as fast as you can

  • dial a phone number.

  • What is possible in this world, called "big data", at the moment, in the hands of futurists.

  • But there's going to be a huge deal and one of the huge, hugeist of the huge deals would

  • be the ability to see through all the data that was collected from hundreds and hundreds

  • of thousands and hundreds of thousands of patients and find answers to questions of

  • people who are not in that data bank yet.

  • It's very complicated, it will be very expensive, and I would love the federal government to

  • spearhead that kind of work, such that because of the scholarships available I would get

  • a full raise of hands.

  • Somebody I know made an observation that I invite you to jot down.

  • The observation is that life itself is one big clinical trial, but the data are under

  • lock and key.

  • The data has to be open, available to other researchers, the lock and key has to be replaced

  • by only protecting the identity, and it is like the king's riches that has come out of

  • this data depository.

  • With that, we can discuss money.

  • The agency that the government gave the task of deciding how much a treatment is worth

  • is the CMS.

  • The abbreviation, if I remember right, stands for Center for Medicare, Medicaid Systems.

  • It is the price determination, determiner, or rather the reimbursement determiner for

  • anything the federal government has a stake in.

  • It is not very clear how it works.

  • I can tell you how it starts to work.

  • To apply to the American Medical Association, a brand new revolutionary agency, they determine

  • a new code - in engineering terms, product part number, product number is needed for

  • this.

  • Then they invite opinions, should it be approved, these have already of course paid at the altars

  • of the FDA already.

  • In their backpack they already carry this cost.

  • And at this point, they start arguing - if that radiation treatment moves in, what happens

  • to to the surgeons?

  • On and on.

  • Ultimately, they don't get turned down as much as they get priced out of the market.

  • And the price negotiation that plays between are not required to have all the stakeholders

  • present, and take place with very minimal process of what it takes to approve.

  • It is as un-transparent a process as anything you can find in the workings of federal government.

  • I actually wonder if the freedom of information act applies to this kind of thing, but I've

  • never heard of it.

  • A participant who actually has business with the CNS, so I should be careful, has said

  • that determining how drugs are priced is a complicated exercise, involving methods that

  • are not readily apparent.

  • Let me show you what he was talking about.

  • Here's a quote from the CNS procedure book - I will not read the whole thing.

  • "Intermediaries - pharmacy-benefit managers and group-purchasing organizations - negotiate

  • prices with drug manufacturers on the basis of a variety of considerations, blah blah

  • blah."

  • About a month ago, one of these cases ended up in federal court, and the federal judge

  • vacated to a previous decision and his opinion, I kid you not, said

  • [laughter]

  • Who says engineers are not literary?

  • So, we have a health organization, health world, 2 billion dollars, by various estimates,

  • 30% more than it needs to be and we have NIH which has, in my opinions, problems with priorities,

  • FDA, whose creeping complexity, creeping charter, and the CMS with what I call obscure pricing.

  • It always bothers me when somebody from outside the United States criticizes some US institution.

  • It really hurt in the gut when a few weeks ago I saw this as a headline of the economist.

  • They were using the healthcare problem as a more general.

  • Actually, it is worse than that.

  • This over regulation costs a lot of money, in spending and in opportunity lost.

  • But it is really bad that it costs a lot of money in all these ways, and without a strategy

  • of what are we trying to do with the system.

  • What is the first, second, and third priority of what we are trying to do as a society?

  • At this point, I remember my blogger.

  • Just for a minute, let me compare the medical flow with technology as we know it.

  • Free technology, minimal regulations.

  • The first thing you will all know, volume is king.

  • When before Intel was formed, I was a freshly minted PHD and I didn't know what the standard

  • things, but I did have an office which later, as I gained experience, I lost.

  • And the office for some reason was the meeting place of two manufacturing managers who were

  • ostensibly coming there to beat me up for something but ended up arguing because half

  • an hour before they came to meet with me the then manager of the fairchild semi-conductor,

  • Robert Noice, that you heard about, went down to Los Angeles and at a meeting of the fleece

  • balls of industry, which are most of them, and asked that integrated circuits, parenthetically

  • developed by and for the US government, to shoot missiles at the Russians, very expensive,

  • very quality conscious, $40 - $50 a piece, Fairchild did quite well with them.

  • Integrated circuit told the people in Los Angeles would cost one dollar a piece.

  • These two guys - "One dollar?!"

  • It was maybe 10 years later when the people who were struggling to sell integrated circuits

  • for 20 cents would have killed for the dollar.

  • But it was a different world.

  • That's when professor Kuh came, that's where all the fleeceballs got their act together,

  • and integrated circuits became electronics.

  • I don't have such a story about microprocessors.

  • I was a little more conscious and I appreciated the order enough of the process - the order

  • went like this.

  • I say to them, "I just sold four chip microprocessors in calculators."

  • "How many calculators are there?"

  • "At least a thousand."

  • "I sold them into traffic lights!"

  • "And how many traffic lights are there?"

  • Microprocessors became inexpensive, well understood, and tens of thousands of engineers knew how

  • to program them.

  • Because they took the application that they served and took another step, and another

  • step, until we have today's chips.

  • With 20.2 nanometer critical characteristics having billions of transistors in them, costing

  • dare I say just a few dollars.

  • To see how these differ, microprocessors and people, I have a special illustration of that.

  • First, let me call attention to the vertical axes, so we are seeing some certain orders

  • of magnitude drop on the characteristic of how long it takes for an MRI machine to be

  • deciphered as time went on, every strategy light became digital MRI prices, MRI performance,

  • it went on.

  • By comparison, that horizontal line is the average test result in a blood panel.

  • Lipid panel.

  • Just bad chemistry.

  • That is the difference, and I think we should consciously look for dedication where Moore's

  • law works.

  • Because God didn't give us Moore's law, he would do more than give us Moore's law.

  • Your predecessors in the labs worked for them.

  • And they paid incredible benefits.

  • In people, too.

  • And now for a bit of levity, what is going to happen - we're going to do these things.

  • What is happening to other kinds of industrial goods if you don't do a good job with them?

  • Some other country does.

  • And we'll label it with a kind of a hang dog lock designed in Gilroy.

  • Manufactured in China.

  • Because you can't develop an industry without doing at least a sufficient amount of each

  • of the functions involved in the production of process.

  • And we've lost a lot of industries.

  • All manufacturing put together, the percentage of the world.

  • Blue line is the US, red line is China, they crossed over a couple of years ago.

  • People can't understand why we have such a obstinate job situation.

  • Recession is over.

  • Demand is up.

  • Jobs - maybe a little.

  • I think this is where we need to look.

  • And the points I'm making is that there's going to be another place where you can look

  • for it.

  • Clinical trials is a labor intensive, not terribly - a bold of lightning is going to

  • hit me - a very difficult undertaking, but it is sufficiently easier and cheaper in many

  • advanced countries like the UK, as well as many developing countries.

  • They are moving, like electronics did, like TVs did, like machines did, and we're going

  • to be there wondering what happened to employment.

  • Something has to be done.

  • And it's big.

  • This industry has to be changed.

  • Not by one law by congress when it's in a good mood.

  • But with hard work, step after step.

  • And it's not I am saying it.

  • There's a quote here from every one of the three building blocks that represents the

  • federal government's part.

  • Reengineering Translational Science, Francis Collins, NIH.

  • The opportunity to remake the agency, she's about the FDA, Andy von Eschenbach, the director

  • of the FDA at the time, Healthcare is headed for a cliff - Donald Berwick, then - head

  • of CMS in fact in his goodbye speech.

  • So what would we do if we were really serious about healthcare?

  • Your life may depend on it.

  • Your parents' lives are going to depend on it.

  • Your child's life, your childrens' lives are going to depend on it.

  • If you're not going to be serious about that, what are you?

  • So I did what I do, excuse me, did what I used to do when I was young and employed - I

  • dusted off the manage and buy objective system, and level by level, working with my colleagues,

  • set out things that need to change.

  • I will close this speech by giving some examples of what this might look like.

  • The first, the larger letters, are the statement that the result we want to achieve, it is

  • supported by things we do to achieve that result.

  • That's all.

  • You can save thousands of dollars that you can offer as an entrepreneur.

  • First thing is you need to facilitate the reallocation of healthcare resources so it

  • bears some dynamic act to the need.

  • And there is a number of things I would do, and I won't get into justifying each of them.

  • But I do want to call your attention to the last one.

  • Transparency, discussion, analysis, the clash of opinions supported by data, that is where

  • people win.

  • We can improve on those.

  • The second one, I would look at a separate group, becoming an international business,

  • I gave you a teeny bit of illustration of trials, but unless we manage this a little

  • bit more carefully there won't be anything left to develop or protect any more than you

  • would buy an american TV set.

  • So I would put a cabinet level office in charge of that, using transparency and debate data

  • experiments, find a better balance.

  • And last, I would teach, as a compulsory subject, health care economics that every engineer

  • that goes to work in a smelt, or in a silicon mine, is taught, the economics, the tools

  • with which you compare one business with the other, the way you run experiments to measure

  • the rate of change, and you can teach that at a level appropriate for graduate students,

  • which is usually a little more detailed than the one we throw at upper sophomores, but

  • they all need to learn it because they need that language.

  • Otherwise, we are going to be throwing opinions at each other, and if we don't like somebody's

  • opinion we call it a fallacy.

  • We badly need that.

  • We need to understand economics, we need to be transparent, and I'm just going to drop

  • the last thing.

  • No field of study is as sensitive, as reluctant to undertake evaluation because they may be

  • controversial, where they can have contracts creating comparative effectiveness studies

  • and fund it, with the role that they may not mention cost.

  • We are so afraid of the truth.

  • We are so afraid of the hard decisions in this society, that that alone is going to

  • sink us.

  • Thank you.

  • [applause]

  • Thank you very much Andy.

  • That was a fantastic talk and provocative as usual.

  • I'm tempted to take a look at what the blogger had to say about you.

  • I'd like to invite members of the audience to ask some questions, and I'd like to make

  • sure that we get our students out here.

  • We have microphones - Karen is holding microphones out there.

  • When you use the microphones, please tell us your name, major, and year in school.

  • So please.

  • One right behind you, Karen.

  • Hello Dr. Grove, my name is Christopher Anderson, I'm a senior here studying mathematics and

  • economics.

  • So earlier, you talked a lot about the need to combine government organizations so they

  • can effectively respond to changing priorities.

  • I remembered that in the context of longer and longer approval times for the FDA, for

  • instance.

  • What are your thoughts about how we should change our priorities?

  • For instance, do you think we should shorten the time for approval, through the cost of

  • a less thorough process?

  • I think I would approach this by having a degree of harm, not treat all harm or all

  • effectiveness as the same.

  • And by some working definition of that, introduce judgement that is shaped to be more systematic.

  • The penal system has such a judgement.

  • You're guilty or you're not, but then they don't give you the same sentence.

  • Thank you doctor.

  • Hi, my name is Jeff Unis, and I'm a third year bioengineering PHD, excuse me I'm a little

  • nervous.

  • You mentioned at the beginning of the talk two of the building blocks.

  • One of them was the FDA, which is a regulatory arm of the government, and the other one is

  • the NIH, which is a funding arm of the government.

  • And for both of them, you mentioned that they have some serious drawbacks for when it comes

  • to health.

  • For example with the NIH, you said that some of their funding is somewhat arbitrary, and

  • I can understand that - being a researcher, I sometimes see labs get a 50 million dollar

  • grant, and sometimes I see them get a 10 thousand dollar grant.

  • I'm not really sure if those are tied to the value that those labs bring.

  • In terms of regulation, you mentioned that they've had increasingly more responsibilities

  • of what they have to prove in order to bring a product to market, for example they only

  • used to have to prove that a drug was not harmful, but now they have to prove that it's

  • effective, or more effective than other products.

  • I also heard that when Intel was founded, the national priority was to build large mainframes

  • and to fund large mainframes.

  • To build small monitors was pretty much considered a crazy idea and you couldn't get funding.

  • But then I'm surprised that an appropriate approach would be, in terms of electronic

  • medical records, was to have the federal government spearhead new initiatives.

  • Also have offices that try to evaluate the costs and the values of these programs.

  • So I'm wondering how you reconcile those two approaches.

  • On one hand it sounds like funding as well as regulation through the government is harmful,

  • Can I help focus the question?

  • Yes!

  • [laughter]

  • You're asking why I did not mention electronic medical records?

  • Well you mentioned the big data, and you said that the federal government should be the

  • one to spearhead that.

  • And I think that, it seems like that you want them to spearhead that, but you're not sure

  • how, because you have the concern of both having them spearhead the regulation as well

  • as the funding of those initiatives.

  • Neither has anything to do with electronic medical records.

  • I think electronic medical records were a market development effort by industry that

  • I have not encountered anyone who is an enthusiastic user of.

  • The warehouse in Bethesda does not have a constituency.

  • He just sits there, writing away.

  • Has the world's information in it.

  • So why do I want to take, and introduce a tool of questionable productivity, in place

  • of mining the secrets of the pharaohs, it's my opinion.

  • Andy, I thought one of the other questions was that when you talked about Intel, DOD

  • paid for the NRE, for the chips, but then it actually needed somebody with insight into

  • this mass market and volume as king, and that was the commercial driver.

  • I think part of his question was what was the interplay between the federal government

  • and paying for sort of the basic research of the NRE, but then later the volume drivers

  • and the commercial drivers really lowering the cost.

  • Maybe I'm just making up this question, listening to you.

  • I didn't hear it, but I'm glad to go where ever you take me.

  • How would you like to fly in a commercial airline system?

  • That was treated with the technological sophistication of the FDA warehouse?

  • Hi, my name is Jeffery Zhou and I'm an undergraduate molecular cell biology major, and if we have

  • regulators whose job are measured by the number of bad drugs on the market, or minimizing

  • that number, that's solely what their jobs are measured by it seems, how would we change

  • that in order to have a more balanced regulatory system?

  • There are one hundered and ten million people in the United States who have a job.

  • They are all evaluated in systematic or not-so-systematic fashions.

  • How many did screw up?

  • How many did they let get away?

  • How many did they do too long?

  • This is, this kind of evaluation is what is used by most modern businesses, small or large,

  • to move on and evaluate their employees in the system.

  • Why is it different for the federal employees?

  • And actually, if they had a system like this, I don't think they would come up with a particularly

  • bad or undesirable outcome.

  • That's only my opinion.

  • Doesn't the public demand, when they hear a story about, people get mad.

  • People don't get mad if a good drug is not released.

  • They use the prevention, too.

  • You don't let the public's demand through.

  • One more question back there.

  • Hi, I'm Tony Keevney, and I'm a professor of mechanical engineering and bioengineering,

  • and thank you very much for your presentation.

  • I think one of the challenges with a health economics approach is people are afraid that

  • a government body will make a decision about what kind of implant or procedure they will

  • pay for.

  • So in England, for example, you either use the generic cheap hip implant that the government

  • decide everybody should have, or you're on your own.

  • And I think that's something that people in this country don't get excited about.

  • So I just get a sense of your reaction to that?

  • I'm not sure.

  • You're asking me to express my leanings on this subject?

  • You know, two people reasonable people can disagree on where the government should be

  • the dominant force and where private enterprise should be.

  • But I don't think we would have too much disagreement if we were to require a good performance from

  • each of them.

  • And defined what that is.

  • Ok, so I'm being asked that - so we can continue this conversation.

  • It's been a fascinating afternoon with you, Andy, and we knew it would be.

  • So thank you very much to Ernie and Patine for providing this wonderful forum.

  • Thanks to you, Andy.

  • [applause]

  • Such a memorable inaugural lecture!

  • [applause]

  • I want to thank our student co-sponsors, the bioengineering honors society, and Out in

  • Science, Technology, Engineering and Mathematics, Out in STEM, OSTEM, for helping us host this

  • event, and I hope all of you will join us for a reception right outside in the Garborini

  • Lounge.

  • Thank you all very much for being with us!

  • And Go Bears!

Good afternoon!

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Kuh Distinguished Lecture.アンディ・グローブ、インテル (Kuh Distinguished Lecture: Andy Grove, Intel)

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    alex に公開 2021 年 01 月 14 日
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