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2 months ago
Admissions Advice
[edited]

Fall 2022 Chancing Updates

Hey everyone!

I’m Matt -- I work on data science projects here at CollegeVine and have been around in the past talking about some of the methodology behind our chancing model.

As we do every few months, we're making some great improvements to the chancing engine this week! We do this to keep our chancing as accurate as possible as we get new information and data. Here's what's new:

1. We updated how we forecast acceptance rates in our model. This makes your chances even more accurate for this admissions cycle.

2. We improved the model to better reflect the impact of applying Early Decision. If you're applying ED, you should see your chances go up a bit.

3. We created a separate chancing methodology for test-blind vs. test-aware schools (schools that don't consider standardized tests at all vs. those that do consider them). Our model now does a better job of treating your profile the same as a test-blind school would.

As a result of these updates, you'll likely see your chances change, and that is totally normal. Please leave a comment if you have any questions or reach out to support@collegevine.com. Happy Fall and best of luck with this admissions cycle!

Chancing
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@AimForTheStars2 months ago

Thank you so much! Hope you have a good fall too!

@ADG12 months ago

At Chicago, ED1 and ED2 chances are the same. This is counter intuitive. What do you think?

@ADG12 months ago

Also, has CV ever looked at the correlation of acceptance/rejection between schools? This is obviously critical in assessing how many schools to apply to. Wouldo also be great to know the standard error of your predictions (by school).

@leepalmer2 months ago [edited]

I really appreciate it. I hope you enjoy the fall too! vex 7

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2 answers

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2 months ago[edited]

@matt.kaye It's great your team continues to make improvements.

One major improvement your team can do in a few days would be to post accurate acceptance rates for the CV colleges you have in your database. They are 99% INCORRECT, some by a factor of 3 times like NorthEastern which is like 6.8%, not 20%. If someone has 20 or 30 schools on their "my list" and all the known acceptance rates are wrong, even if your chancing percentage is correct within a margin of 5%, it really doesn't give anyone context. So if your CV says your probability to NorthEastern is 10% but the wrong admit rate is posted as 20%, then you immediately think you shouldn't apply because is twice worse. But if you post the real acceptance rate of 6.8%, then 10% is better than the average acceptance rate. Any HS kid can look at either the college common data set, the college website and search freshman profile, or look up acceptance rates from the college's Twitter or into account. I don't understand why this consistently is an important DATA point that is incorrect on all of your colleges in your database. Whoever is in charge of sourcing this data is getting it from the wrong place. Why? because if you go to any of CV competitors they have more accurate numbers and that just makes CV look bad.

https://www.collegekickstart.com/blog/item/class-of-2026-admission-results

https://www.ivywise.com/blog/college-admission-rates/

https://internationalcollegecounselors.com/class-of-2026-admissions-statistics/

https://www.collegetransitions.com/blog/2026-ivy-league-acceptance-rates/

https://collegiategateway.com/regular-admissions-trends-for-the-class-of-2026/

@CamreronBameron posted accurate 3 years' worth of acceptance rates for 2 years on CV but you guys ignore her posts.

https://www.collegevine.com/questions/27562/top-50-latest-class-of-2026-acceptance-rates

https://www.collegevine.com/questions/12065/i-m-keeping-tabs-on-class-of-2025-stats-can-you-help

The same goes with Ivys/Elites/LACS. CV has Cornell at 11%, Dartmouth at 9%, Williams at 15%, Columbia 7% etc. So these are all wrong by almost a factor of 2 times. Emory 19% when it's really 10.7%. Tufts 16% when it's really 9%. The CV chancing engine is using acceptance rates from 5-6 cycles ago or older and if anything thing admits rates continue to push lower each cycle not revert to older rates. Some brought this up last year but nothing was done. What's the logic and thinking for comparing revised upgraded new CV probability chancing rates to non-existent old acceptance rates that haven't been around for in some cases more than 7 cycles? Columbia hasn't had an admit rate of 7% may be back to 2015 when it was 6.9%

Sample of what I'm talking about:

School name- 2016 2017 2018 2019 2020 2021 2022

Caltech 7.89% 7.74% 6.62% 6.42% 6.69% 3.92% 3.03%

Harvard 5.22% 5.20% 4.59% 4.50% 4.89% 3.41% 3.19%

Columbia 6.04% 5.80% 5.51% 5.14% 6.15% 3.89% 3.73%

Stanford 4.69% 4.65% 4.34% 4.34% 5.19% 3.95% 3.86%

MIT 7.81% 7.10% 6.74% 6.62% 7.26% 4.03% 3.96%

Princeton 6.46% 6.09% 5.49% 6.05% 5.55% 4.38% 4.36%

Yale 6.27% 6.91% 6.31% 5.91% 6.54% 4.62% 4.47%

Brown 9.01% 8.32% 7.67% 7.07% 7.67% 5.45% 5.03%

Pomona 9.17% 8.19% 6.96% 6.98% 8.62% 6.64% 6.03%

Vanderbilt 10.36% 8.56% 7.29% 7.90% 9.84% 6.70% 6.13%

UPenn 9.41% 9.15% 8.39% 7.47% 8.07% 5.87% 6.14%

Duke 10.31% 9.23% 8.30% 7.17% 7.67% 5.76% 6.17%

Dartmouth 10.52% 10.44% 8.74% 7.93% 8.79% 6.17% 6.24%

JHU 11.43% 11.79% 9.94% 9.15% 7.05% 6.43% 6.48%

NorthEastern 28.88% 27.44% 19.00% 18.00% 20.47% 18.38% 6.79%

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1
a month ago

Hi @matt.kaye there are some people on this blog that have answered my questions and basically say your platform is not accurate at all. Frustrating as I have scheduled college tours based on us having target and safety changes on these schools. How accurate do you really think this platform is? not sure why there are folks on this blog that are so negative on it. Please advise.

thanks

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