KC2SYK
01-10-2022, 10:49 PM
https://vanities.k2cr.com/
Hi, all. I haven't been around here in a while, but I thought you all might have some good feedback about this site I developed.
I wanted to predict vanity assignments, so I coded this up from FCC data. Similar to AE7Q, but doing simulation of the assignments to produce a real estimate at the chances. For example, see the applications for the NR6H call (https://vanities.k2cr.com/vanity-NR6H.html). There are two applicants, with chances of assignment of 50% each.
For a more complex example, see the applications for KG6L (https://vanities.k2cr.com/vanity-KG6L.html). Several applications are excluded for various reasons. Others have chances that range from 3% to 21%. Some applicants have much lower odds than others. While most have chances around 21%, one has chances around 3% due to their other applied-for callsigns taking precedence.
Use cases:
- By looking at many applications, you can see patterns and plan a more successful application.
- If you have multiple applications pending, you can consider whether to withdraw some applications to improve your chances or to be certain of receiving a preferred callsign.
- Add up the chances of assignment for each of your applications and if they reach 100%, you can choose to stop making further applications.
- Look for callsigns that are pending but have a less-than-100% chance of being assigned, and consider putting in an application for that callsign.
Note: this was all doable thanks to code from the fcc-db (https://github.com/QueuingKoala/fcc-db) project to pull FCC data and load it into a sqlite data store.
Please see the FAQ (https://vanities.k2cr.com/faq.html) and let me know if I can clarify at all.
Thanks and 73
K2CR
Hi, all. I haven't been around here in a while, but I thought you all might have some good feedback about this site I developed.
I wanted to predict vanity assignments, so I coded this up from FCC data. Similar to AE7Q, but doing simulation of the assignments to produce a real estimate at the chances. For example, see the applications for the NR6H call (https://vanities.k2cr.com/vanity-NR6H.html). There are two applicants, with chances of assignment of 50% each.
For a more complex example, see the applications for KG6L (https://vanities.k2cr.com/vanity-KG6L.html). Several applications are excluded for various reasons. Others have chances that range from 3% to 21%. Some applicants have much lower odds than others. While most have chances around 21%, one has chances around 3% due to their other applied-for callsigns taking precedence.
Use cases:
- By looking at many applications, you can see patterns and plan a more successful application.
- If you have multiple applications pending, you can consider whether to withdraw some applications to improve your chances or to be certain of receiving a preferred callsign.
- Add up the chances of assignment for each of your applications and if they reach 100%, you can choose to stop making further applications.
- Look for callsigns that are pending but have a less-than-100% chance of being assigned, and consider putting in an application for that callsign.
Note: this was all doable thanks to code from the fcc-db (https://github.com/QueuingKoala/fcc-db) project to pull FCC data and load it into a sqlite data store.
Please see the FAQ (https://vanities.k2cr.com/faq.html) and let me know if I can clarify at all.
Thanks and 73
K2CR