<p>
[quote]
Yes, absolutely, the majority of the Berkeley grads I know are doing very well, across a pretty wide variety of fields and careers
[/quote]
</p>
<p>Hey, let's not use anecdotes. Let's look at the facts. We all have the right to our own opinions, but we don't have the right to our own facts.</p>
<p>The fact is, the reported average/median salaries for most majors at Berkeley are, frankly, unimpressive. With the exception of EECS, CS, and to some extent the other engineering disciplines, along with bus-ec, economics, and some of the sciences, the salaries that Berkeley grads are getting are not significantly different from the national average, especially once corrected for cost-of-living (as most Berkeley grads tend to stay in Northern California, which is expensive)</p>
<p><a href="http://career.berkeley.edu/CarDest/2005Majors.stm#salary%5B/url%5D">http://career.berkeley.edu/CarDest/2005Majors.stm#salary</a>
<a href="http://career.berkeley.edu/CarDest/2005Majors.stm%5B/url%5D">http://career.berkeley.edu/CarDest/2005Majors.stm</a></p>
<p>For example, consider some of the largest majors on campus. MCB is the largest major on campus. The median MCB grad made 32k in 2005. Would you call that "doing very well"? The 2nd largest major is poli-sci. Median salary of 36k. Is that "doing very well"? </p>
<p>Let's also look at some specific examples. Let's look at some of the jobs that the English grads get (since I've already talked about MCB and poli-sci). I see that one graduate took a job as a barista at Starbucks (basically, the guy behind the counter who makes your coffee). I see a bunch of guys working as retail clerks. I see one guy became head cashier at Barnes and Nobles (hey, at least he was the HEAD cashier). One guy took a job as a lumber puller, a job I had never even heard of until just now, and apparently which involves sorting and lugging pieces of lumber. One person became bar staff (which basically means, waiting tables or serving drinks). </p>
<p><a href="http://career.berkeley.edu/Major/English.stm%5B/url%5D">http://career.berkeley.edu/Major/English.stm</a></p>
<p>I invite readers to examine the whole list and judge for themselves whether Berkeley graduates are all "doing very well" Hey, don't get me wrong. I wish they all were doing well. But look at the evidence and draw your own conclusion. The data is all here. I'm not hiding anything. </p>
<p><a href="http://career.berkeley.edu/Major/Major.stm%5B/url%5D">http://career.berkeley.edu/Major/Major.stm</a></p>
<p>
[quote]
From the dozens and dozens of times we've argued on this issue in the last year, one can clearly deduce that s/he doesn't believe that Berkeley is a top 10 undergraduate institution.
[/quote]
</p>
<p>Clearly I don't, simply because I can very quickly name 10 schools that are better for undergrad. Very simple. All 8 Ivies, Stanford, and MIT. That's 10 right there. Then we can get into discussions of whether Caltech is better, or whether some of the elite LAC's are better. </p>
<p>Note, that's not to say that Cal gets blown away. In particular, I think that Cal is fairly close to (but still does not beat) Cornell at the undergraduate level. But the claim that Cal is top 10 for undergrad means that it is clearly better than all of those other schools (and clearly better than Caltech or the LAC's), and that's questionable. </p>
<p>
[quote]
Beyond this basic flaw though, there is another inherent issue with the approach, the fact that the matrix compares students who have applied to both schools, which in most cases is a pretty small fraction of the applicant pool. consider for example the case of Cal vs Brown. The proportion of Cal applicants who also apply to Brown is very small, and the type of student who apply to both schools is pretty different from the norm. Therefore, you cannot draw broad conclusions about how Cal really compares to Brown based on the matrix. The matrix will do a better job in comparing two schools who share a pretty large proportion of applicants in relation with their total applicant pool, like maybe UCLA and UCSD, or Duke and Rice.
[/quote]
</p>
<p>CalX, you just made a major mistake. You have just given away the fact that you didn't even bother to read the study or if you did, you didn't understand it. If you did, you would have quickly discovered that the study is FAR MORE than just looking at cross-admit data. In fact, the whole point of the model as delineated on p. 14-18 of the study is to infer revealed preferences - ** in other words, what students would have done ** if they had applied to, and were admitted to both schools of a particular pair. Hence, this is far more than a simple examination of cross-admit data and is, in fact, what makes the article so powerful. </p>
<p>In fact, that's the entire value-add of the article. If the article were simply reporting cross-admit data, then it wouldn't even be a real article, because all it would be doing is regurgitating data. In other words, it would just be a news article as opposed to a scientific article. No, the point of any serious scientific article is to provide * analysis * of the data. News articles report data. But scientific articles analyze data. </p>
<p>Now, one might say that the way that the authors constructed the model is flawed. And certainly no model is perfect. However, the authors are using mainstream techniques, in particular, preference modeling, that have been used by social scientists (especially economists) for decades. Plenty of other social scientists have used similar techniques to model other aspects of human behavior and preference. Now, one might say that revealed preferences as a theory is itself wrong. Yet to say that is to basically invalidate one of the key cornerstones of economics. Heck, much of microeconomic analysis rests on the primary assumption that preferences can be revealed, so that to disbelieve RP as a concept is to basically not believe in much of microeconomics, which would in turn invalidate many other economic theorems that the world holds dear. </p>
<p>But anyway, CalX, the point is, before you make an objection to a study, please READ THE STUDY first. If you don't understand parts of the study, there are several people, including myself, who are happy to help you with it. But if you don't even bother to understand something before you criticize it, I don't know what to tell you. </p>
<p><a href="http://www.economics.harvard.edu/faculty/hoxby/papers/revealedprefranking.pdf%5B/url%5D">http://www.economics.harvard.edu/faculty/hoxby/papers/revealedprefranking.pdf</a></p>