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Yup, working on it!Worked when I was not on my work VPN. Would be interesting if the tool said why it was or was not recommending a certain school.
Yup, working on it!Worked when I was not on my work VPN. Would be interesting if the tool said why it was or was not recommending a certain school.
Thank you, this has tremendous potential. How do you factor in schools where the applicant is applying for a branch campus (e.g., Mayo-AZ) and is an In-State applicant because they live in AZ? Or is the assumption that the admission criteria is the same whether the person is applying to the home campus (e.g., Mayo-Rochester) or the branch campus?Hey everyone, as some of you might have seen, I’ve been working on a machine learning model over the last few months that can both score an application based on every data point used in the admissions process as well as build a school list specific to an applicant’s holistic profile. The goal of the created school list is to maximize the probability of at least one acceptance as well as the chance of the highest-ranked acceptance.
It accounts for every exception and every decision, such as when to apply DO/MD (even with high stats), how X-factors change your ability to apply to reaches, MCAT retakes, GPA upward trends, in-state vs out-of-state schools, research, extracurriculars, etc. The best way to see it in action is to just try it with any combination of stats and ECs that you can think of and see how the school list and score changes.
Applicants with the same score, for example, can have drastically different school lists depending on the builder’s holistic evaluation of the application (research-focused, service-focused, state of residence, etc).
The reason I made the school list builder was because I saw so many applicants missing out on their full potential simply because they weren't making the right lists - either by applying to the wrong schools and having to reapply, or by not applying to schools they were competitive for. As a low SES applicant, I know how much harder the process can be when you don’t have the same resources others do, whether that’s family in medicine or access to consultants/advisors.
This should hopefully make it much easier for everyone to know where to apply and what schools you are competitive for. The builder also allows you to customize your list by suggesting schools that you are competitive for that can replace the recommended ones.
That’s essentially the TL;DR of the post, you can try it out below:
Link: https://admit.org/
If you want to learn more about how it was developed, you can read this doc here.
Note: I still need to include post-bacc to the calculator, which is coming soon. However, you can still get an idea of where to apply if you did a post-bacc by increasing your GPA score (this isn’t exactly correct because only some schools reward reinvention, but post-bacc is being added soon).
I don't account for any special programs at the moment (Columbia Basset, Mayo, etc) - there isn't enough public data to either train the model on or even manually adjust. The issue that I'm working towards now aside from improvements to the builder is access to application data that can be used to make the builder even more accurate.Thank you, this has tremendous potential. How do you factor in schools where the applicant is applying for a branch campus (e.g., Mayo-AZ) and is an In-State applicant because they live in AZ? Or is the assumption that the admission criteria is the same whether the person is applying to the home campus (e.g., Mayo-Rochester) or the branch campus?
Science GPA, Post-bacc/SMP, abstracts/posters, and everything else will eventually be supported. I wanted to take my time with releasing these new criteria to ensure that it's 100% accurate across every single combination of inputs and accounts for every single exception (of which there are a lot).This is really exciting. I was wondering why the builder doesn't ask about science GPA?
I'm doing the same philosophical walk (stream of consciousness, whatever).Med school admissions is a black box for applicants, less so for those who completed the cycle. The opacity decreases as one gets closer to applying, and by the end of the cycle, I think a lot of applicants (including myself) can reflect on their journey and realize they made mistakes that may have changed the optimal outcome of their cycle. For some, that means having to reapply because they didn't know an SMP/Post-bacc was needed, or that they should have retaken their MCAT, or they needed 50 more clinical hours to avoid being screened out, or they needed more than 10 hours of shadowing, etc.
Not sure if others are experiencing this, but sign-in using Google is being blocked by both my institution and Bitdefender, and the list builder is giving a "failed to fetch" error.Just deployed another update, thank you everyone for the feedback!
1. Schools that may be out of reach (or below range) of an applicant will show up with a yellow icon. These schools show up on the right side, not in the recommended list, and applicants can drag them into the main list if they want to reach higher than recommended or add schools that may yield protect.
2. The reason for schools not being recommended is now added.
3. Stanford/Harvard are now added in certain cases with high research applicants even with low nonclinical/clinical.
4. Baylor and UTSW are now added to school lists in certain cases on the sidebar.
5. Some minor changes here and there related to extreme applications (thousands of clinical hours + 0 shadowing)
Going to take a break from the builder for a few days and redesign all of the logos to be readable instead of what they are now.
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Not sure if others are experiencing this, but sign-in using Google is being blocked by both my institution and Bitdefender, and the list builder is giving a "failed to fetch" error.
Haha thanks for the feedback, looking at ETSU's residency requirements they only accept OOS students who are within 250 miles of the school, which isn't really something I can quantify yet at least. It's currently marked as an IS-heavy school so only students from the state of Tennessee are recommended it - soon I'll work on having a state ties question that can go into more detail into these questions (high school residency, etc).This is what happens when comp sci majors get accepted and then have too much free time before school starts 😆
Kidding, in all seriousness, this is a cool tool. It is very similar to how I think of the LizzyM or WARS calculators. It just gives you a reference point. I hope that applicants using this will not use this as an end-all be-all tool for creating a list, but more as a "oh I wasn't even thinking of that school" when using it to check their ideas etc.
As a datapoint for you if you're looking for it, I didn't get any interviews from the baseline schools it suggested (tbf, I only applied to 1 of them). I had an interview and an acceptance from the target schools and 3 interviews, 1 acceptance and 2 waitlist from the reach schools. (It didn't mention ETSU in any of the lists, which I also had an interview at. I think you might be missing some correlating formula and/or weight with clicking the veteran button and proximity to ETSU, as I am in a neighboring state). It also recommended UCLA in the reach schools, and while I appreciate the vote of confidence, I am an east coaster with 0 research and an MCAT that's not competitive for them.
Fair enough.Haha thanks for the feedback, looking at ETSU's residency requirements they only accept OOS students who are within 250 miles of the school, which isn't really something I can quantify yet at least. It's currently marked as an IS-heavy school so only students from the state of Tennessee are recommended it - soon I'll work on having a state ties question that can go into more detail into these questions (high school residency, etc).
UCLA looks extremely favorably at OOS Veterans and URM applicants, and also has a wide MCAT range so even if your MCAT is in the 505 range or so I agree with the calculator's recommendation to apply there (and research isn't a requirement for Veteran/URM applicants applying to UCLA).
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I see, will manually add that to the calculator then. Thanks!Fair enough.
ETSU is also extremely favorable for veterans fwiw, that's why I mentioned it. It's recommended for pretty much all veterans to apply there (assuming their stats are MD competitive).
I had a general question on how the school statistics are found. Is the admitted number including waitlist acceptances or not?Hey everyone, as some of you might have seen, I’ve been working on a machine learning model over the last few months that can both score an application based on every data point used in the admissions process as well as build a school list specific to an applicant’s holistic profile. The goal of the created school list is to maximize the probability of at least one acceptance as well as the chance of the highest-ranked acceptance.
It accounts for every exception and every decision, such as when to apply DO/MD (even with high stats), how X-factors change your ability to apply to reaches, MCAT retakes, GPA upward trends, in-state vs out-of-state schools, research, extracurriculars, etc. The best way to see it in action is to just try it with any combination of stats and ECs that you can think of and see how the school list and score changes.
Applicants with the same score, for example, can have drastically different school lists depending on the builder’s holistic evaluation of the application (research-focused, service-focused, state of residence, etc).
The reason I made the school list builder was because I saw so many applicants missing out on their full potential simply because they weren't making the right lists - either by applying to the wrong schools and having to reapply, or by not applying to schools they were competitive for. As a low SES applicant, I know how much harder the process can be when you don’t have the same resources others do, whether that’s family in medicine or access to consultants/advisors.
This should hopefully make it much easier for everyone to know where to apply and what schools you are competitive for. The builder also allows you to customize your list by suggesting schools that you are competitive for that can replace the recommended ones.
That’s essentially the TL;DR of the post, you can try it out below:
Link: https://admit.org/
If you want to learn more about how it was developed, you can read this doc here.
Note: I still need to include post-bacc to the calculator, which is coming soon. However, you can still get an idea of where to apply if you did a post-bacc by increasing your GPA score (this isn’t exactly correct because only some schools reward reinvention, but post-bacc is being added soon).
It does include waitlist acceptances - the stats come from a variety of sources, including school websites, class profiles, third party stats, etcI had a general question on how the school statistics are found. Is the admitted number including waitlist acceptances or not?
@HappyRabbit: Thank you very much for the awesome school list builder.
Quick question, did you make changes to the algorithm ? The school list generated for me couple day is different the one generated today. The new list has more schools (32) vs the previous list (25) with more schools added to Reach , Target and Baseline. Also, couple schools were removed from the list.
Yup that's the next feature I'm working on alongside the application marketplace. I'm in the middle of aggregating all the info that MSAR doesn't include, like curriculum-specific info (P/F, AOA, etc), hospitals that students rotate at, etc. After that I'll decide to either include these after you click on an individual school, or put it all in a new table so you can look at all the schools at once.@HappyRabbit : Great job and thank you for making a great tool for us premed.
Can I request as an enhancement ? 🙂 If possible, from the result school list, can I click on the school and be able to see school statistic ? And Is there a way to compare schools from the result list ?
This would be so, so invaluable to applicants. Researching this information takes many hours - time that could otherwise be spent prewriting (or writing) secondaries, etc.I'm in the middle of aggregating all the info that MSAR doesn't include, like curriculum-specific info (P/F, AOA, etc), hospitals that students rotate at, etc. After that I'll decide to either include these after you click on an individual school, or put it all in a new table so you can look at all the schools at once.
After this info is collected then a school compare feature is straight forward where you can pick the schools you want to compare and it'll show all the info side-by-side.
Personally I think there is minimal value in making a predictive index for individual schools - there is too much randomness in the process to account for that (the builder was already extremely difficult to make and is probably 5x easier than doing it on a per school basis) and also serves no value to applicants besides fueling neuroticism. It's also highly dependent on essays, LORs, and a holistic evaluation of all the activities which is impossible to quantify.@HappyRabbit : Thank you for putting great effort to create a great tool for us premed student in choosing med schools to apply.
You are spot on on the design but I think some info like hospital rotation and/or AOA are not that important initially but it's nice to have since it saves time from having to go school website to get them. One of the wishful idea, is after generate the list, it also include a predictive index for chances of II from the list of Builder 🙂.
Yeah haha, I've already spent dozens of hours writing emails to every school, just to only get half of the information and told to go to a 300-page student handbook for the rest that has no mention of let's say internal ranking, and then I have to crosscheck all the info with the school website as well as current students (since sometimes the emails I get have wrong info!).This would be so, so invaluable to applicants. Researching this information takes many hours - time that could otherwise be spent prewriting (or writing) secondaries, etc.
I don't think it's valuable to applicants at the point where they should be focusing on their applications. It can be useful once you have to weigh a couple of offers, but I don't think this information helps you as much as you think it does. Otherwise, we might as well incorporate the USNWR hospital rankings as another factor, and we're asking @HappyRabbit for a heck of a lot...This would be so, so invaluable to applicants. Researching this information takes many hours - time that could otherwise be spent prewriting (or writing) secondaries, etc.
If these are accurate, why does acceptance differ so much from this one from 2021It does include waitlist acceptances - the stats come from a variety of sources, including school websites, class profiles, third party stats, etc
If these are accurate, why does acceptance differ so much from this one from 2021
If you look at Michigan State, the number of acceptances from 2021 is 263 and the admit.org website for MSUCHM (for 2023?) has 325. Why are the numbers so different? Does one include the waitlist and not the other? Which do you think is more accurate?
I had a general question. To my knowledge most people don’t withdraw an acceptance from schools until April. 3/15 is the deadline for schools to accept at least their class size. So, does that mean most schools’ acceptances that sent are roughly their class size by March 15 and if there’s a discrepancy between total acceptances and matriculated then those are WL acceptances?The numbers on Admit are the most recent values - 2021 is several years old and there is a lot that changes in terms of yield in that time span for schools.
What discrepancy are you referring to? The acceptances on the website represent the total number of acceptance offers given to applicants at any time in the cycle (including waitlists) so the number of acceptances are always higher than matriculants (since school yield is never 100%).I had a general question. To my knowledge most people don’t withdraw an acceptance from schools until April. 3/15 is the deadline for schools to accept at least their class size. So, does that mean most schools’ acceptances that sent are roughly their class size by March 15 and if there’s a discrepancy between total acceptances and matriculated then those are WL acceptances?
I meant more as a difference. Like do schools normally give out acceptances up to their class size by the March 15 deadline and the rest is WL acceptances? So for msu as another example, they gave out 325 acceptances but their class size is 190. So I’m wondering, generally, would msu have sent out only 190 acceptances by the 3/15 deadline or not (since most people don’t withdraw acceptances until April). Or is it largely dependent at per school?What discrepancy are you referring to? The acceptances on the website represent the total number of acceptance offers given to applicants at any time in the cycle (including waitlists) so the number of acceptances are always higher than matriculants (since school yield is never 100%).
Most schools send out more acceptances than seats even prior to waitlists opening up (AAMC mandates that they at least send out 1:1 acceptances to seats I believe, but schools have to send out more) - however the acceptances sent out * yield is usually still lower than the target class size, which is where the waitlist plays a role (school dependent).I meant more as a difference. Like do schools normally give out acceptances up to their class size by the March 15 deadline and the rest is WL acceptances? So for msu as another example, they gave out 325 acceptances but their class size is 190. So I’m wondering, generally, would msu have sent out only 190 acceptances by the 3/15 deadline or not (since most people don’t withdraw acceptances until April). Or is it largely dependent at per school?
Thanks! The application data comes directly from the schools, I don't just make them up 😀Very interesting tool and glad to see it pick up steam among the applicants of this cycle. I've read through this thread, and just wanted to ask generally, How confident are you in Interview / Acceptance stats? The Northeast Ohio Thread is tearing itself apart right now because of the crazy high (99% or so) number for In-State Acceptance post interview.
What about neomed OOS acceptance ? Will they accept meThanks! The application data comes directly from the schools, I don't just make them up 😀
NEOMED has a high in-state interview acceptance rate because most of the filtering happens after secondaries (except if you're a psychopath I assume and get rejected post-II)
It's 42%What about neomed OOS acceptance ? Will they accept me
?
Ok but they are looking to interview more people on May June . Could they exhaust waitlist ?
I don't know the specifics for NEOMED sorry - I'm working on adding an application tracker / improved cycle track to Admit that will hopefully make this info more readily accessible to future applicants. Best place to look would be in old SDN school specific threads for the time being.Ok but they are looking to interview more people on May June . Could they exhaust waitlist ?
I did and they do take OOSI don't know the specifics for NEOMED sorry - I'm working on adding an application tracker / improved cycle track to Admit that will hopefully make this info more readily accessible to future applicants. Best place to look would be in old SDN school specific threads for the time being.
hi, i was wondering why "clinical volunteering hours" is not a question for the school list? are clinical volunteer hours supposed to be included in overall clinical hours? if so, that doesn't make sense to me, as there is a huge difference in being paid (to be a scribe, for example) vs volunteering at hospice. would love to hear your thoughts. thanks!
Thanks! I plan on further improving the builder for this upcoming cycle to support post-bacs, international students, and using the data from the live cycle results to recommend schools more specifically.This website is super easy to use! It also have a good match with my own list. However as an international student, it'll be really nice if this tool can filter out schools that only accept US citizens. Let's see how it goes this cycle!
Are the admit profiles real? They seem a little funky and some of the basic information like race and the photos don't match.
hiHey everyone, as some of you might have seen, I’ve been working on a machine learning model over the last few months that can both score an application based on every data point used in the admissions process as well as build a school list specific to an applicant’s holistic profile. The goal of the created school list is to maximize the probability of at least one acceptance as well as the chance of the highest-ranked acceptance.
It accounts for every exception and every decision, such as when to apply DO/MD (even with high stats), how X-factors change your ability to apply to reaches, MCAT retakes, GPA upward trends, in-state vs out-of-state schools, research, extracurriculars, etc. The best way to see it in action is to just try it with any combination of stats and ECs that you can think of and see how the school list and score changes.
Applicants with the same score, for example, can have drastically different school lists depending on the builder’s holistic evaluation of the application (research-focused, service-focused, state of residence, etc).
The reason I made the school list builder was because I saw so many applicants missing out on their full potential simply because they weren't making the right lists - either by applying to the wrong schools and having to reapply, or by not applying to schools they were competitive for. As a low SES applicant, I know how much harder the process can be when you don’t have the same resources others do, whether that’s family in medicine or access to consultants/advisors.
This should hopefully make it much easier for everyone to know where to apply and what schools you are competitive for. The builder also allows you to customize your list by suggesting schools that you are competitive for that can replace the recommended ones.
That’s essentially the TL;DR of the post, you can try it out below:
Link: https://admit.org/
If you want to learn more about how it was developed, you can read this doc here.
Note: I still need to include post-bacc to the calculator, which is coming soon. However, you can still get an idea of where to apply if you did a post-bacc by increasing your GPA score (this isn’t exactly correct because only some schools reward reinvention, but post-bacc is being added soon).