pgstrata
The Lesson to Unlearn
2

December 2019

3

The most damaging thing you learned in school wasn't something you learned in any specific class.

4

It was learning to get good grades.

5

When I was in college, a particularly earnest philosophy grad student once told me that he never cared what grade he got in a class, only what he learned in it.

6

This stuck in my mind because it was the only time I ever heard anyone say such a thing.

7

For me, as for most students, the measurement of what I was learning completely dominated actual learning in college.

8

I was fairly earnest; I was genuinely interested in most of the classes I took, and I worked hard.

9

And yet I worked by far the hardest when I was studying for a test.

10

In theory, tests are merely what their name implies: tests of what you've learned in the class.

11

In theory you shouldn't have to prepare for a test in a class any more than you have to prepare for a blood test. In theory you learn from taking the class, from going to the lectures and doing the reading and/or assignments, and the test that comes afterward merely measures how well you learned.

12

In practice, as almost everyone reading this will know, things are so different that hearing this explanation of how classes and tests are meant to work is like hearing the etymology of a word whose meaning has changed completely.

13

In practice, the phrase "studying for a test" was almost redundant, because that was when one really studied.

14

The difference between diligent and slack students was that the former studied hard for tests and the latter didn't.

15

No one was pulling all-nighters two weeks into the semester.

16

Even though I was a diligent student, almost all the work I did in school was aimed at getting a good grade on something.

17

To many people, it would seem strange that the preceding sentence has a "though" in it.

18

Aren't I merely stating a tautology?

19

Isn't that what a diligent student is, a straight-A student?

20

That's how deeply the conflation of learning with grades has infused our culture.

3–4

The most damaging thing you learned in school wasn't something you learned in any specific class. It was learning to get good grades.

5–9

A philosophy grad student once told me he never cared what grade he got, only what he learned — the only time I ever heard anyone say such a thing. For me, as for most students, measurement completely dominated learning; I worked by far the hardest when studying for a test.

10–15

In theory a test merely measures what you've learned. In practice, "studying for a test" was almost redundant, because that was when one really studied.

16–20

Even though I was diligent, almost all my work aimed at a good grade. To many it seems strange that sentence has a "though" — isn't a diligent student just a straight-A student? That's how deeply the conflation of learning with grades has infused our culture.

2–20

The most damaging thing school taught you wasn't in any class — it was learning to get good grades, a conflation of learning with grades so deep it has infused our culture.

22

Is it so bad if learning is conflated with grades?

23

Yes, it is bad.

24

And it wasn't till decades after college, when I was running Y Combinator, that I realized how bad it is.

25

I knew of course when I was a student that studying for a test is far from identical with actual learning.

26

At the very least, you don't retain knowledge you cram into your head the night before an exam.

27

But the problem is worse than that.

28

The real problem is that most tests don't come close to measuring what they're supposed to.

29

If tests truly were tests of learning, things wouldn't be so bad.

30

Getting good grades and learning would converge, just a little late.

31

The problem is that nearly all tests given to students are terribly hackable.

32

Most people who've gotten good grades know this, and know it so well they've ceased even to question it.

33

You'll see when you realize how naive it sounds to act otherwise.

34

Suppose you're taking a class on medieval history and the final exam is coming up.

35

The final exam is supposed to be a test of your knowledge of medieval history, right?

36

So if you have a couple days between now and the exam, surely the best way to spend the time, if you want to do well on the exam, is to read the best books you can find about medieval history.

37

Then you'll know a lot about it, and do well on the exam.

38

No, no, no, experienced students are saying to themselves.

39

If you merely read good books on medieval history, most of the stuff you learned wouldn't be on the test. It's not good books you want to read, but the lecture notes and assigned reading in this class.

40

And even most of that you can ignore, because you only have to worry about the sort of thing that could turn up as a test question.

41

You're looking for sharply-defined chunks of information.

42

If one of the assigned readings has an interesting digression on some subtle point, you can safely ignore that, because it's not the sort of thing that could be turned into a test question.

43

But if the professor tells you that there were three underlying causes of the Schism of 1378, or three main consequences of the Black Death, you'd better know them.

44

And whether they were in fact the causes or consequences is beside the point.

45

For the purposes of this class they are.

46

At a university there are often copies of old exams floating around, and these narrow still further what you have to learn.

47

As well as learning what kind of questions this professor asks, you'll often get actual exam questions.

48

Many professors re-use them.

49

After teaching a class for 10 years, it would be hard not to, at least inadvertently.

50

In some classes, your professor will have had some sort of political axe to grind, and if so you'll have to grind it too.

51

The need for this varies.

52

In classes in math or the hard sciences or engineering it's rarely necessary, but at the other end of the spectrum there are classes where you couldn't get a good grade without it.

22–28

Is it so bad if learning is conflated with grades? Yes — and it wasn't till decades later, running Y Combinator, that I realized how bad. The real problem is that most tests don't come close to measuring what they're supposed to.

31–33

Nearly all tests given to students are terribly hackable, and most people who've gotten good grades know it so well they've ceased to question it.

34–45

Suppose the medieval history final is coming. Should you read the best books you can find? No, no, no, experienced students say. You want the lecture notes and assigned reading, and even of that only the sharply-defined chunks that could become questions. If the professor says there were three causes of the Schism of 1378, you'd better know them — whether they truly were is beside the point; for this class they are.

46–52

Old exams narrow it further, since many professors reuse questions. And if a professor has a political axe to grind, you'll have to grind it too — rarely in the hard sciences, but elsewhere there are classes you can't pass without it.

22–52

Conflating learning with grades is genuinely bad, because nearly all tests given to students are terribly hackable — you study lecture notes, old exams, and the professor's axes, not the subject.

54

Getting a good grade in a class on x is so different from learning a lot about x that you have to choose one or the other, and you can't blame students if they choose grades.

55

Everyone judges them by their grades — graduate programs, employers, scholarships, even their own parents.

56

I liked learning, and I really enjoyed some of the papers and programs I wrote in college.

57

But did I ever, after turning in a paper in some class, sit down and write another just for fun?

58

Of course not.

59

I had things due in other classes.

60

If it ever came to a choice of learning or grades, I chose grades.

61

I hadn't come to college to do badly.

62

Anyone who cares about getting good grades has to play this game, or they'll be surpassed by those who do.

63

And at elite universities, that means nearly everyone, since someone who didn't care about getting good grades probably wouldn't be there in the first place.

64

The result is that students compete to maximize the difference between learning and getting good grades.

54–55

Getting a good grade in a class on x is so different from learning a lot about x that you have to choose one or the other, and you can't blame students if they choose grades. Everyone judges them by their grades — graduate programs, employers, scholarships, even their own parents.

56–61

I liked learning. But did I ever, after turning in a paper, write another just for fun? Of course not. If it came to a choice of learning or grades, I chose grades.

62–64

Anyone who cares about grades has to play this game or be surpassed — at elite universities, nearly everyone. Students compete to maximize the difference between learning and getting good grades.

54–64

Getting a good grade in x is so different from learning x that you must choose, and since everyone judges you by grades, you can't blame students for choosing them.

66

Why are tests so bad?

67

More precisely, why are they so hackable?

68

Any experienced programmer could answer that.

69

How hackable is software whose author hasn't paid any attention to preventing it from being hacked?

70

Usually it's as porous as a colander.

71

Hackable is the default for any test imposed by an authority.

72

The reason the tests you're given are so consistently bad — so consistently far from measuring what they're supposed to measure — is simply that the people creating them haven't made much effort to prevent them from being hacked.

73

But you can't blame teachers if their tests are hackable.

74

Their job is to teach, not to create unhackable tests.

75

The real problem is grades, or more precisely, that grades have been overloaded.

76

If grades were merely a way for teachers to tell students what they were doing right and wrong, like a coach giving advice to an athlete, students wouldn't be tempted to hack tests.

77

But unfortunately after a certain age grades become more than advice.

78

After a certain age, whenever you're being taught, you're usually also being judged.

66–72

Why are tests so hackable? Any programmer knows: software whose author never tried to prevent it is as porous as a colander. Hackable is the default for any test imposed by an authority, simply because their creators made little effort to prevent it.

73–78

But you can't blame teachers; their job is to teach. The real problem is that grades have been overloaded. If they were merely a coach's advice, no one would be tempted to hack tests. But after a certain age, whenever you're being taught, you're usually also being judged.

66–78

Tests are hackable because nobody tried to make them otherwise — the real problem isn't teachers but grades, which after a certain age stop being advice and become judgment.

80

I've used college tests as an example, but those are actually the least hackable.

81

All the tests most students take their whole lives are at least as bad, including, most spectacularly of all, the test that gets them into college.

82

If getting into college were merely a matter of having the quality of one's mind measured by admissions officers the way scientists measure the mass of an object, we could tell teenage kids "learn a lot" and leave it at that.

83

You can tell how bad college admissions are, as a test, from how unlike high school that sounds.

84

In practice, the freakishly specific nature of the stuff ambitious kids have to do in high school is directly proportionate to the hackability of college admissions.

85

The classes you don't care about that are mostly memorization, the random "extracurricular activities" you have to participate in to show you're "well-rounded," the standardized tests as artificial as chess, the "essay" you have to write that's presumably meant to hit some very specific target, but you're not told what.

86

As well as being bad in what it does to kids, this test is also bad in the sense of being very hackable.

87

So hackable that whole industries have grown up to hack it.

88

This is the explicit purpose of test-prep companies and admissions counsellors, but it's also a significant part of the function of private schools.

89

Why is this particular test so hackable?

90

I think because of what it's measuring.

91

Although the popular story is that the way to get into a good college is to be really smart, admissions officers at elite colleges neither are, nor claim to be, looking only for that.

92

What are they looking for?

93

They're looking for people who are not simply smart, but admirable in some more general sense.

94

And how is this more general admirableness measured?

95

The admissions officers feel it.

96

In other words, they accept who they like.

97

So what college admissions is a test of is whether you suit the taste of some group of people.

98

Well, of course a test like that is going to be hackable.

99

And because it's both very hackable and there's (thought to be) a lot at stake, it's hacked like nothing else.

100

That's why it distorts your life so much for so long.

101

It's no wonder high school students often feel alienated.

102

The shape of their lives is completely artificial.

80–85

College tests are actually the least hackable. The worst is the test that gets you into college. The freakishly specific stuff ambitious kids do — the memorization, the "extracurriculars" to look "well-rounded," standardized tests as artificial as chess, the "essay" meant to hit a target you're never told — is directly proportionate to its hackability.

86–88

It's so hackable that whole industries have grown up to hack it: the explicit purpose of test-prep companies and admissions counsellors, and a big part of the function of private schools.

89–96

Why? Because of what it measures. Admissions officers at elite colleges don't claim to look only for smarts; they want people admirable in some more general sense. How is that measured? They feel it. In other words, they accept who they like.

97–100

So what college admissions tests is whether you suit the taste of some group of people. Of course such a test is hackable. And because it's both very hackable and thought to have a lot at stake, it's hacked like nothing else.

101–102

It's no wonder high school students often feel alienated. The shape of their lives is completely artificial.

80–102

College tests are actually the least hackable; admissions is the worst, because it measures whether you suit a group's taste — so hackable that whole industries grew up to hack it, distorting kids' lives.

104

But wasting your time is not the worst thing the educational system does to you.

105

The worst thing it does is to train you that the way to win is by hacking bad tests.

106

This is a much subtler problem that I didn't recognize until I saw it happening to other people.

107

When I started advising startup founders at Y Combinator, especially young ones, I was puzzled by the way they always seemed to make things overcomplicated.

108

How, they would ask, do you raise money?

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What's the trick for making venture capitalists want to invest in you?

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The best way to make VCs want to invest in you, I would explain, is to actually be a good investment.

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Even if you could trick VCs into investing in a bad startup, you'd be tricking yourselves too.

112

You're investing time in the same company you're asking them to invest money in.

113

If it's not a good investment, why are you even doing it?

114

Oh, they'd say, and then after a pause to digest this revelation, they'd ask: What makes a startup a good investment?

115

So I would explain that what makes a startup promising, not just in the eyes of investors but in fact, is growth [blocked].

116

Ideally in revenue, but failing that in usage.

117

What they needed to do was get lots of users.

118

How does one get lots of users?

119

They had all kinds of ideas about that.

120

They needed to do a big launch that would get them "exposure." They needed influential people to talk about them.

121

They even knew they needed to launch on a tuesday, because that's when one gets the most attention.

122

No, I would explain, that is not how to get lots of users.

123

The way you get lots of users is to make the product really great.

124

Then people will not only use it but recommend it to their friends, so your growth will be exponential once you get it started [blocked].

125

At this point I've told the founders something you'd think would be completely obvious: that they should make a good company by making a good product.

126

And yet their reaction would be something like the reaction many physicists must have had when they first heard about the theory of relativity: a mixture of astonishment at its apparent genius, combined with a suspicion that anything so weird couldn't possibly be right.

127

Ok, they would say, dutifully.

128

And could you introduce us to such-and-such influential person?

129

And remember, we want to launch on Tuesday.

130

It would sometimes take founders years to grasp these simple lessons.

131

And not because they were lazy or stupid.

132

They just seemed blind to what was right in front of them.

133

Why, I would ask myself, do they always make things so complicated?

134

And then one day I realized this was not a rhetorical question.

135

Why did founders tie themselves in knots doing the wrong things when the answer was right in front of them?

136

Because that was what they'd been trained to do.

137

Their education had taught them that the way to win was to hack the test. And without even telling them they were being trained to do this.

138

The younger ones, the recent graduates, had never faced a non-artificial test. They thought this was just how the world worked: that the first thing you did, when facing any kind of challenge, was to figure out what the trick was for hacking the test. That's why the conversation would always start with how to raise money, because that read as the test. It came at the end of YC.

139

It had numbers attached to it, and higher numbers seemed to be better.

140

It must be the test.

104–106

But wasting your time is not the worst thing the educational system does to you. The worst thing it does is to train you that the way to win is by hacking bad tests. I didn't recognize it until I saw it happening to others.

107–113

Advising young founders at YC, I was puzzled by how they overcomplicated things. What's the trick to make VCs invest, they'd ask? The best way is to actually be a good investment. Tricking VCs into a bad startup just means tricking yourselves, since you're investing your own time in it too.

114–117

What makes a startup promising, in fact and not just in investors' eyes, is growth [blocked] — ideally revenue, failing that usage. They needed lots of users.

118–124

How? They had ideas: a big launch for "exposure," influential people talking about them, launching on a Tuesday. No, I'd explain. The way is to make the product really great, so people recommend it and growth becomes exponential once you get it started [blocked].

125–129

I'd told them something seemingly obvious: make a good company by making a good product. Their reaction was like physicists first hearing of relativity — astonishment plus suspicion that anything so weird couldn't be right. Ok, they'd say. And could you introduce us to such-and-such person? And remember, we want to launch on Tuesday.

130–140

It took founders years to grasp these simple lessons, not because they were lazy or stupid but because they tied themselves in knots doing what they'd been trained to do: their education had taught them the way to win was to hack the test, without even telling them. The recent graduates had never faced a non-artificial test, so the conversation started with raising money — it came at the end of YC, had numbers, higher seemed better. It must be the test.

104–140

The worst thing school does is train you that the way to win is by hacking bad tests. I saw it at YC: founders overcomplicated everything, chasing tricks for raising money instead of just building a good product.

142

There are certainly big chunks of the world where the way to win is to hack the test. This phenomenon isn't limited to schools.

143

And some people, either due to ideology or ignorance, claim that this is true of startups too.

144

But it isn't.

145

In fact, one of the most striking things about startups is the degree to which you win by simply doing good work.

146

There are edge cases, as there are in anything, but in general you win by getting users, and what users care about is whether the product does what they want.

147

Why did it take me so long to understand why founders made startups overcomplicated?

148

Because I hadn't realized explicitly that schools train us to win by hacking bad tests.

149

And not just them, but me!

150

I'd been trained to hack bad tests too, and hadn't realized it till decades later.

151

I had lived as if I realized it, but without knowing why.

152

For example, I had avoided working for big companies.

153

But if you'd asked why, I'd have said it was because they were bogus, or bureaucratic.

154

Or just yuck.

155

I never understood how much of my dislike of big companies was due to the fact that you win by hacking bad tests.

156

Similarly, the fact that the tests were unhackable was a lot of what attracted me to startups.

157

But again, I hadn't realized that explicitly.

158

I had in effect achieved by successive approximations something that may have a closed-form solution.

159

I had gradually undone my training in hacking bad tests without knowing I was doing it.

160

Could someone coming out of school banish this demon just by knowing its name, and saying begone?

161

It seems worth trying.

162

Merely talking explicitly about this phenomenon is likely to make things better, because much of its power comes from the fact that we take it for granted.

163

After you've noticed it, it seems the elephant in the room, but it's a pretty well camouflaged elephant.

164

The phenomenon is so old, and so pervasive.

165

And it's simply the result of neglect.

166

No one meant things to be this way.

167

This is just what happens when you combine learning with grades, competition, and the naive assumption of unhackability.

142–146

Some claim startups are among the chunks of the world where you win by hacking the test. But they aren't. One of the most striking things about startups is the degree to which you win by simply doing good work — by getting users, who care only whether the product does what they want.

147–150

Why did it take me so long to understand founders? Because I hadn't realized that schools train us to win by hacking bad tests. And not just them, but me!

151–157

I'd avoided big companies, but if asked I'd have said they were bogus, or bureaucratic, or just yuck — never that you win there by hacking bad tests. Their unhackability was a lot of what attracted me to startups, but again I hadn't realized it.

160–161

Could someone leaving school banish this demon just by knowing its name, and saying begone? It seems worth trying.

162–167

Merely talking about it explicitly should help, because much of its power comes from our taking it for granted. Once noticed it seems the elephant in the room, but a well camouflaged one. It's simply what happens when you combine learning with grades, competition, and the naive assumption of unhackability.

142–167

Startups are striking for how much you win by simply doing good work. It took me decades to see this in founders because I hadn't realized schools had trained me too — I'd been undoing that training without knowing it.

169

It was mind-blowing to realize that two of the things I'd puzzled about the most — the bogusness of high school, and the difficulty of getting founders to see the obvious — both had the same cause.

170

It's rare for such a big block to slide into place so late.

171

Usually when that happens it has implications in a lot of different areas, and this case seems no exception.

172

For example, it suggests both that education could be done better, and how you might fix it.

173

But it also suggests a potential answer to the question all big companies seem to have: how can we be more like a startup?

174

I'm not going to chase down all the implications now.

175

What I want to focus on here is what it means for individuals.

176

To start with, it means that most ambitious kids graduating from college have something they may want to unlearn.

177

But it also changes how you look at the world.

178

Instead of looking at all the different kinds of work people do and thinking of them vaguely as more or less appealing, you can now ask a very specific question that will sort them in an interesting way: to what extent do you win at this kind of work by hacking bad tests?

169–173

It was mind-blowing that two things I'd puzzled over most — the bogusness of high school and the difficulty of getting founders to see the obvious — had the same cause. It even suggests an answer to the question all big companies have: how can we be more like a startup?

174–178

But I want to focus on what it means for individuals. Most ambitious kids graduating from college have something to unlearn. And it changes how you look at the world: instead of vaguely ranking kinds of work by appeal, you can ask one question — to what extent do you win at this work by hacking bad tests?

169–178

It was mind-blowing that the bogusness of high school and the difficulty of getting founders to see the obvious had the same cause. It has implications everywhere, but here I focus on what it means for individuals.

180

It would help if there was a way to recognize bad tests quickly.

181

Is there a pattern here?

182

It turns out there is.

183

Tests can be divided into two kinds: those that are imposed by authorities, and those that aren't.

184

Tests that aren't imposed by authorities are inherently unhackable, in the sense that no one is claiming they're tests of anything more than they actually test. A football match, for example, is simply a test of who wins, not which team is better.

185

You can tell that from the fact that commentators sometimes say afterward that the better team won.

186

Whereas tests imposed by authorities are usually proxies for something else.

187

A test in a class is supposed to measure not just how well you did on that particular test, but how much you learned in the class.

188

While tests that aren't imposed by authorities are inherently unhackable, those imposed by authorities have to be made unhackable.

189

Usually they aren't.

190

So as a first approximation, bad tests are roughly equivalent to tests imposed by authorities.

191

You might actually like to win by hacking bad tests.

192

Presumably some people do.

193

But I bet most people who find themselves doing this kind of work don't like it.

194

They just take it for granted that this is how the world works, unless you want to drop out and be some kind of hippie artisan.

180–185

Is there a pattern for recognizing bad tests? There is. Tests divide into those imposed by authorities and those that aren't. The latter are inherently unhackable, since no one claims they test more than they do — a football match is simply a test of who wins, not which team is better.

186–190

Tests imposed by authorities are usually proxies — a class test is supposed to measure how much you learned. They have to be made unhackable, and usually aren't. So bad tests are roughly equivalent to tests imposed by authorities.

191–194

You might actually like winning by hacking bad tests; some do. But I bet most who find themselves in this work don't — they take it for granted that this is how the world works, unless you want to drop out and be some kind of hippie artisan.

180–194

There's a pattern for spotting bad tests. Tests not imposed by authorities are inherently unhackable; those imposed by authorities are proxies that have to be made unhackable, and usually aren't.

196

I suspect many people implicitly assume that working in a field with bad tests is the price of making lots of money.

197

But that, I can tell you, is false.

198

It used to be true.

199

In the mid-twentieth century, when the economy was composed of oligopolies [blocked], the only way to the top was by playing their game.

200

But it's not true now.

201

There are now ways to get rich by doing good work, and that's part of the reason people are so much more excited about getting rich than they used to be.

202

When I was a kid, you could either become an engineer and make cool things, or make lots of money by becoming an "executive."

203

Now you can make lots of money by making cool things.

204

Hacking bad tests is becoming less important as the link between work and authority erodes.

205

The erosion of that link is one of the most important trends happening now, and we see its effects in almost every kind of work people do.

206

Startups are one of the most visible examples, but we see much the same thing in writing.

207

Writers no longer have to submit to publishers and editors to reach readers; now they can go direct.

208

The more I think about this question, the more optimistic I get.

209

This seems one of those situations where we don't realize how much something was holding us back until it's eliminated.

210

And I can foresee the whole bogus edifice crumbling.

211

Imagine what happens as more and more people start to ask themselves if they want to win by hacking bad tests, and decide that they don't.

212

The kinds of work where you win by hacking bad tests will be starved of talent, and the kinds where you win by doing good work will see an influx of the most ambitious people.

213

And as hacking bad tests shrinks in importance, education will evolve to stop training us to do it.

214

Imagine what the world could look like if that happened.

215

This is not just a lesson for individuals to unlearn, but one for society to unlearn, and we'll be amazed at the energy that's liberated when we do.

196–200

Many assume working in a field with bad tests is the price of making lots of money. But that is false. It used to be true: in the mid-twentieth century, when the economy was composed of oligopolies [blocked], the only way up was playing their game. Not now.

201–203

When I was a kid you could make cool things as an engineer, or money as an "executive." Now you can make lots of money by making cool things.

204–207

Hacking bad tests matters less as the link between work and authority erodes — one of the most important trends now. Startups are the clearest example, but the same shows in writing: writers can now go direct, without submitting to publishers and editors.

208–214

The more I think about this, the more optimistic I get; I can foresee the whole bogus edifice crumbling. As more people decide they don't want to win by hacking bad tests, that work is starved of talent while work where you do good work draws the most ambitious — and education will evolve to stop training us for it.

215

This is not just a lesson for individuals to unlearn, but one for society to unlearn, and we'll be amazed at the energy that's liberated when we do.

196–215

The belief that bad-test work is the price of money is now false: you can get rich doing good work as the link between work and authority erodes. The more I think about it, the more I foresee the bogus edifice crumbling.

217

Notes

218

[1] If using tests only to measure learning sounds impossibly utopian, that is already the way things work at Lambda School. Lambda School doesn't have grades. You either graduate or you don't. The only purpose of tests is to decide at each stage of the curriculum whether you can continue to the next. So in effect the whole school is pass/fail.

219

[2] If the final exam consisted of a long conversation with the professor, you could prepare for it by reading good books on medieval history. A lot of the hackability of tests in schools is due to the fact that the same test has to be given to large numbers of students.

220

[3] Learning is the naive algorithm for getting good grades.

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[4] Hacking [blocked] has multiple senses. There's a narrow sense in which it means to compromise something. That's the sense in which one hacks a bad test. But there's another, more general sense, meaning to find a surprising solution to a problem, often by thinking differently about it. Hacking in this sense is a wonderful thing. And indeed, some of the hacks people use on bad tests are impressively ingenious; the problem is not so much the hacking as that, because the tests are hackable, they don't test what they're meant to.

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[5] The people who pick startups at Y Combinator are similar to admissions officers, except that instead of being arbitrary, their acceptance criteria are trained by a very tight feedback loop. If you accept a bad startup or reject a good one, you will usually know it within a year or two at the latest, and often within a month.

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[6] I'm sure admissions officers are tired of reading applications from kids who seem to have no personality beyond being willing to seem however they're supposed to seem to get accepted. What they don't realize is that they are, in a sense, looking in a mirror. The lack of authenticity in the applicants is a reflection of the arbitrariness of the application process. A dictator might just as well complain about the lack of authenticity in the people around him.

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[7] By good work, I don't mean morally good, but good in the sense in which a good craftsman does good work.

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[8] There are borderline cases where it's hard to say which category a test falls in. For example, is raising venture capital like college admissions, or is it like selling to a customer?

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[9] Note that a good test is merely one that's unhackable. Good here doesn't mean morally good, but good in the sense of working well. The difference between fields with bad tests and good ones is not that the former are bad and the latter are good, but that the former are bogus and the latter aren't. But those two measures are not unrelated. As Tara Ploughman said, the path from good to evil goes through bogus.

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[10] People who think the recent increase in economic inequality [blocked] is due to changes in tax policy seem very naive to anyone with experience in startups. Different people are getting rich now than used to, and they're getting much richer than mere tax savings could make them.

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[11] Note to tiger parents: you may think you're training your kids to win, but if you're training them to win by hacking bad tests, you are, as parents so often do, training them to fight the last war.

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At Lambda School this already works: no grades, you either graduate or don't, with tests only deciding whether you advance.

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Much of the hackability of school tests comes from giving the same test to large numbers; a long conversation with the professor couldn't be hacked that way.

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Learning is the naive algorithm for getting good grades.

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Hacking [blocked] has two senses: compromising something, and finding a surprising solution by thinking differently. The problem isn't the hacking but that hackable tests don't test what they're meant to.

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YC's people are like admissions officers, except their criteria are trained by a tight feedback loop: you usually know within a year whether you picked wrong.

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Admissions officers tired of inauthentic applicants are looking in a mirror: the applicants' inauthenticity reflects the arbitrariness of the process.

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A good test is merely one that's unhackable. Fields with bad tests aren't bad so much as bogus. As Tara Ploughman said, the path from good to evil goes through bogus.

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Those who blame rising economic inequality [blocked] on tax policy seem naive to anyone with startup experience: different people are getting rich now, far richer than tax could explain.

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Note to tiger parents: if you're training your kids to win by hacking bad tests, you're training them to fight the last war.

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Footnotes: Lambda School's pass/fail model, the role of mass-administered tests in hackability, the two senses of hacking, why YC's "admissions" have a tight feedback loop, and a note to tiger parents.

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Thanks to Austen Allred, Trevor Blackwell, Patrick Collison, Jessica Livingston, Robert Morris, and Harj Taggar for reading drafts of this.

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Thanks to Austen Allred, Trevor Blackwell, Patrick Collison, Jessica Livingston, Robert Morris, and Harj Taggar for reading drafts of this.

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Thanks to the readers of drafts.