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I'm slightly confused where this data is coming from. If someone could address my confusion I'd appreciate it. I understand that the Texas Star data is comprised of M4 responses from participating schools only and not just anyone can submit their scores and application information. Is this correct?

Participating schools can be found here: Texas STAR

I noticed that a program on the star data had a matched applicant not from a participating school (I checked the class of 2023 roster for that program and they did not match anyone from a school on the participating school list found above).
 
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Yeah it doesn't make sense. The top GS program is a DO program with 4 spots, and lists one person with a Step of 267. Im not sure how helpful this data is.
I emailed our dean since we are a participating school, and he said its not helpful and thats why he didnt send a link lol.
THey don't really match up with residency explorer or the internal data
 
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Yeah it doesn't make sense. The top GS program is a DO program with 4 spots, and lists one person with a Step of 267. Im not sure how helpful this data is.

The data holistically is useful. Maybe not for all institutions. But the way it is currently being presented is just sorted by institutions by average step 1 score top to bottom and not all institutions are shown. There is a different view where you can see all participating applicants and see where on their rank list they matched, # apps, # interviews, and then basically their entire ERAS app including stats, CV stuff, and home state/region. The database is quite large and screenshooting all of it for all specialities would take quite a lot of time.

As an applicant it was very helpful to see what kind of applicants received interviews from places I was interested in and who matched there, while understanding that part of that is self-selection.
 
Does anyone know if M4s have access to this data? My school participates and I already filled out the survey with my results last month and I'm bored in quarantine/curious about the matches in my specialty this year.
 
Does anyone know if M4s have access to this data? My school participates and I already filled out the survey with my results last month and I'm bored in quarantine/curious about the matches in my specialty this year.
It doesn’t seem like it unfortunately. I would be curious too! The links we were sent only seem to go to the 2019 dashboard.
 
ya this data is very, very hard to interpret, I can see why schools wouldn't participate. You'd be better off talking to your specialty advisor / program director at your own institution.

Depending on the knowledge base and availability of these people, maybe. Home PD was very difficult to get ahold and vague in their advice. And the specialty advisor suggested I apply to no more than 30 programs and just kept referring me back to the unresponsive PD. Seeing applicants on Texas Star with better stats than me apply to 60+ programs and get <10 interviews really encouraged me to retool my list and add some programs in regions I wasn't previously considering.

On the other hand, when I was considering IM, that specialty advisor was amazing and had so much knowledge regarding which programs I should apply to, who she could put me in touch with at certain programs, etc.

I found Texas Star to be more useful than FREIDA and Residency Explorer because you could at least see individuals and it was more up to date. All in all I'm for any resource that can provide more transparency during this process and applicants should pool all the resources they can to get.
 
Emergency Medicine

How is this data accurate? KCUMBs EM program is on there and its a former DO program with no MDs in it at all and nooo way they have a 257 step average haha.
 
How is this data accurate? KCUMBs EM program is on there and its a former DO program with no MDs in it at all and nooo way they have a 257 step average haha.
Students enter their own data. The KCUMB match says they were AOA, which means it can't be a DO. Maybe they meant to click University of Kansas?

@Lucca It's especially hard to interpret for small fields. The programs with the lowest average Step 1s for uro all have their average brought down by one person who did an away at that program (if you have access to the database, you can see more details like that). The range of Step scores for the applicants those programs interview according to the data is around the average for the field, so those programs aren't good targets for low scorers, they just liked that rotator enough to overlook the score. The average for USC and UCSF (both top 10 programs) is 242, 242 for WashU, 247 for MGH, 244 for Columbia, so there is clearly more to their app than their step score (I only have access up until 2019, so those average might be different with this year's data)
 
ya this data is very, very hard to interpret, I can see why schools wouldn't participate. You'd be better off talking to your specialty advisor / program director at your own institution.

Not really, depends heavily on how connected and knowledgeable your particular PD is.
 
after seeing the list for even so-called "noncompetitive" specialties...Imma just try to pretend I never came across this list....otherwise I'm going to start contemplating my medical app smh

1588603759470.png
 
I think this is wildly inaccurate. It's so easy to identify individual people that you're only going to have people filling it out who are fine having their scores widely known, so it's like even more inflated than the reddit spreadsheets lol.

Lol, true, but looking at the bottom end of the list can tell you who gets interviews and even matching.
 
Took a peek at my specialty's screenshot and either there's some data duplication/misclassification in there or I'm misinterpreting the table (which could definitely be the case).

Ex: some programs have more reported matches than there are actual spots – I could understand having less matches:spots as this is self-reported, but this had me scratching my head.
 
Took a peek at my specialty's screenshot and either there's some data duplication/misclassification in there or I'm misinterpreting the table (which could definitely be the case).

Ex: some programs have more reported matches than there are actual spots – I could understand having less matches:spots as this is self-reported, but this had me scratching my head.
It automatically shows data from 2017-2020 unless you restrict by year. It’s on the left hand side of the screenshot.
 
I think this is wildly inaccurate. It's so easy to identify individual people that you're only going to have people filling it out who are fine having their scores widely known, so it's like even more inflated than the reddit spreadsheets lol.

How could you identify people unless the program has 1-3 people per class?
 
How could you identify people unless the program has 1-3 people per class?
Geographic location/home state data. I’m the only person from my state going to my program. I filled it out because the data helped me and I want to help underclassmen. I’m all for transparency and don’t care about being identified. If someone thinks my app is lacking, that’s their problem.
 
How could you identify people unless the program has 1-3 people per class?
It is easier to identify for programs with less than 3 per class, but you can often figure it out when classes are 15 and under.

You can see the state of the person’s med school and if they have dual degrees. You also check off if you did a rotation at each place you interviewed, so if they only have one place checked off and it’s the state of their med school it’s likely their home program.

That being said, I really don’t care if people know my stats. I matched. I’m happy where I matched. Information helps future applicants
 
Anesthesia 3 pages



It says View attachment 305623

data has just been updated, not sure about what changes were made


CU rural track is #2? UCSD is 2nd to last? University of Puerto Rico has a higher avg than Baylor COM, Emory, BIDMC, and Yale?
Uhhhh perhaps I'm misinterpreting this data, but it seems like there's such a strong self-reporting bias...that the data is pretty worthless.
 
CU rural track is #2? UCSD is 2nd to last? University of Puerto Rico has a higher avg than Baylor COM, Emory, BIDMC, and Yale?
Uhhhh perhaps I'm misinterpreting this data, but it seems like there's such a strong self-reporting bias...that the data is pretty worthless.

taking your home program students will bring the average down
 
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