- #36
Zap
- 406
- 120
Try 100 applications per day for two weeks and see what happens lol.
You can even take the weekends off. So, that will be 1,000 applications in a very short span of time.
Let's look at the job hunt statistically. Let's say applying for a job is like sampling a random variable from some probability distribution, where some value of the variable corresponds to a job offer. The thing is, you're sampling a new distribution every month or so, because job posts only last about a month or so. So, you have to rapid fire applications so that you're sampling from a pseudo-static distribution, which will greatly increase your chances of getting the job offer. What it sounds like OP has done is sample 1,000 times from 1,000 different distributions.
The faster you sample, the more static the distribution becomes. Of course, the quality of your application will tend to decrease as the sampling frequency increases. So, that's something for you to try and manually optimize. I would focus on trying to make the job hunt as fast and efficient as possible without sacrificing too much of the application quality. Although, you must sacrifice some of the quality in order to increase speed and efficiency, I think that this is the optimal way. No application will be perfect, no matter how much time you spend on it, and you simply must move on with your life.
I realize that this is a crude model, but I stand by it.
You can even take the weekends off. So, that will be 1,000 applications in a very short span of time.
Let's look at the job hunt statistically. Let's say applying for a job is like sampling a random variable from some probability distribution, where some value of the variable corresponds to a job offer. The thing is, you're sampling a new distribution every month or so, because job posts only last about a month or so. So, you have to rapid fire applications so that you're sampling from a pseudo-static distribution, which will greatly increase your chances of getting the job offer. What it sounds like OP has done is sample 1,000 times from 1,000 different distributions.
The faster you sample, the more static the distribution becomes. Of course, the quality of your application will tend to decrease as the sampling frequency increases. So, that's something for you to try and manually optimize. I would focus on trying to make the job hunt as fast and efficient as possible without sacrificing too much of the application quality. Although, you must sacrifice some of the quality in order to increase speed and efficiency, I think that this is the optimal way. No application will be perfect, no matter how much time you spend on it, and you simply must move on with your life.
I realize that this is a crude model, but I stand by it.
Last edited: