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The numbers I get from using Law School Predictor vs. what I get using LSAC prediction method is completely different. Can anyone explain why this is?

Also any recommendations on other predictors and/or success stories you've had using them would be greatly appreciated.

mylsn.info is a much better predictor because its based on actual admissions outcomes. Therefore the only bias is shows is due to the self-reported nature of the data.

I'm definitely not interested in defending this too thoroughly, but...

I was under the impression that the LSAC predictor was based on actual admissions outcomes, but had complete data? I had thought that some of the reasons people don't use it as much are because some schools (several t-14s) opt out of that particular predictor, because they give score "bands" (like 0-10%—not really helpful) and because you don't see the sample size (i.e. you can't tell if that 95-100% chance is based on 5,000 data points or 1).

Anyone really should feel free to correct me about this. I only vaguely remember reading this a looong time ago.... back before I really realized how useless even complete data is to such a supersplitter


EDIT: This is definitely not to take away from the other reply. I do think that LSN is one of the best for the majority of the applicant pool, and so is probably the one you should be using.

The predictors are TTT. LSAC tells me I have a better chance of getting in to NYU than Mich. Wtf? Law School Predictor is slightly more sensible, but LSN is obviously the way to go.

The predictors do use the stats of the prior year's applicant pool to determine the index formula for each school. However, that means that the predictors assume a linear relationships between LSAT/GPA and acceptance rate (not the case) and ignore the impact of medians, which is why they are poor estimators of future acceptances.

cotiger wrote:The predictors do use the stats of the prior year's applicant pool to determine the index formula for each school. However, that means that the predictors assume a linear relationships between LSAT/GPA and acceptance rate, ignoring the impact of medians, which is why they are poor estimators of future acceptances.

This is absolutely correct. I just finished a LONG pm to the op (sorry op!) in which I went into great detail about this. Just for all of you... feel free to amuse yourself by putting in a nice, sensible 3.5/170 in LSP and enjoy your dings from h/y/s/c/c/n, and then put in your 120 LSAT/ 9.0 GPA and enjoy your "admits" at CCN and your "strong considers" at HYS

Just to add on to the information, I am a splitter. (Higher LSAT, Lower GPA)

Cf. my thread here with the exact same question. There's a lengthy answer there. I don't know how satisfying I find it but maybe it'll be useful for you.