<p>Stanford and Yale have both been SCEA since 2003.</p>
<p>
If there isn’t a significant difference, that would mean that there was an enormous difference in cross-admit rate! Like, one of them absolutely trouncing the other (which wasn’t the case for any of PYSM where we have concrete data).</p>
<p>One thought - math & engineering probably have a lot applying to SPM, but not Yale.</p>
<p>Of course these numbers show something - we just don’t know what.</p>
<p>^Didn’t know it was that far back. In that case the '07 and '08 numbers make even more sense. </p>
<p>Pton kids are locked in, Yale ones are not, and so more probably applied to Stanford regular (or S SCEA admits applied to Yale regular). Once P dropped ED, the number of P-aspiring applicants who applied to S increased significantly if S was preferred to Y (as it was in my case). The numbers seem to follow.</p>
<p>Baelor, I think that you made the rigth decision by choosing P over S. The current Stanford admission process has too much social engineering in it. It is taking the Stanford undergraduate education toward a downward slope. Don’t be fouled by the 30000+ applications that they received this year. If they tolerate mediocracy rather than advocate excellencies, they will receive 50000 applications in a couple of years and have even fewer number of cross-admits with HYPM.</p>
<p>Look at these:
Princeton:
SAT Critical Reading: 690 - 790 98%
SAT Math: 700 - 790 98%
SAT Writing: 690 - 780 98% </p>
<p>Yale:
SAT Critical Reading: 700 - 800 92%
SAT Math: 700 - 790 92%
SAT Writing: 700 - 790 92% </p>
<p>Harvard:
SAT Critical Reading: 700 - 800 98%
SAT Math: 700 - 790 98%
SAT Writing: 690 - 790 98% </p>
<p>
Stanford:
SAT Critical Reading: 660 - 760 96%
SAT Math: 680 - 790 96%
SAT Writing: 660 - 760 96% </p>
<p>When Stanford gets to the range of 600-700 SAT’s, there will be very few cross-admits with HYPM. They’ll have more applications and a even higher yield. Will that enhance undergraduate education?</p>
<p>That’s not really much of a decrease to find a trend in the data… In fact, the trend in recent years is the exact opposite, so your claim makes no sense.</p>