For the past few weeks, predictions have been displayed on the member list for each school. Starting today, you can just visit your own college tracker to see the predictions at each of the schools on your list. That should save a few clicks. Also, if you hover your mouse over the prediction, extra details about that prediction appear in a box above the mouse.
Use this thread to give feedback, positive and negative.
Quick update - we’ve updated the system to display the predicted admissions outcome for each applicant on each school’s page. For example, if you visit the page of University of Illinois you’ll see that the model predicts admission to that school about 75% of the time.
At the University of Virginia, it predicts admission correctly about 62% of the time, while at the University of Pennsylvania, it’s right over 80% of the time.
What do you think of the accuracy, or of the predictions in general?
Check out the ‘My Tools’ link (only works if you’re logged in). On the page, you’ll now see a link to “Academic Matches”. This page will give you a list of the 10 schools that we think are the most closely matched to your academic characteristics.
Try it out and tell us what you think.
Today we’re rolling out a fun addition to MyChances.net: a currency system.
From now on, you’ll earn credits each time you post on this site. You can keep those credits in your wallet, or you can put them in the ‘bank’ and let them earn interest on an hourly basis.
With the credits, you can ‘buy’ shares of any of the colleges on this site. There are only 50 shares of each college to begin with, and each college’s share price is set based on its popularity. Some colleges are only 10 credits, while others already cost 300 credits per share.
You can buy colleges from the Shop, and you can sell them to other visitors at a price of your choosing by using the ‘Trade Centre’.
In the future, we’ll be adding new ways to earn credits and to spend them. We also plan on creating features that will only be available to people who own a share of college, just to spice things up a bit.
As always, feedback is welcome.
Hi everyone,
For the last several months MyChances.net has been on servers that have just been getting too slow. You’ve probably noticed that when browsing the site, you have to wait quite some time for pages to load. I’ve now switched the site to faster servers, so that shouldn’t be a problem. Because of the upgrade, you might notice some problems as I finish up the transition. If so, send feedback and let me know so I can resolve whatever comes up.
In the meantime, happy college hunting!
Today we’ve added a new option for you to browse by: Selectivity Ranking. As you might know by now, we’ve developed a formula to give each school a selectivity score based on how difficult it is to get into that school.
Now, we’ve ranked the colleges and given them Selectivity Rankings. You can ‘Browse Colleges’ by these rankings, showing you the most difficult to the least difficult schools to get into.
Our Google-enhanced site search (at the top right corner of each page) has been nonfunctional for the last few days, but it’s fixed now.
It might come in handy if you’re doing something like searching for ‘UCLA’ but can’t find it in our college list because our built-in search just isn’t that good yet (but we’re working on that).
Example:
Go to ‘Browse Colleges’
Search for ‘UCLA’
Results: 0
Now type UCLA into the search at the top of this page, and you’ll be whisked to the right place.
We’ve had scatterplots for some time now. Scatterplots, I think, are good for showing how scores cluster. In general, you’ll expect to see acceptances at the top right (highest GPA and highest SAT), with rejections beneath that and to the left. If you break down law school statistics, they tend to go by the numbers. However, if you look at some of the top schools for undergrad, it becomes clear that it’s not just a numbers game.
For example, you might see the UC Berkeley scatterplot and think, ‘How did that guy with the 4.0 2400 get rejected?’ Well, instead of searching the list of UC Berkeley applicants, you can just click on the dot to read his story, because each dot on the scatterplots now links to the user’s profile.