I am thinking about optimal value salvage from foregone opportunities. To illustrate the application: I recently turned down an interview offer for a poor paying (<10k AUD annually) full time job in India. The pay was the decisive in my decision. In the future should I screen jobs by salary in advance to save on application time? What is my acceptable minimum salary for full time work? Should I disclose my error to the employer, friends and/or the public (e.g. by blogging? Commenting on existing material by others? Social media?). And meta questions like is this task formulated at the optimal level or abstraction and where is its relative importance? I have not systematically answered these questions. Writing this out gives me feeling that the cumulative reward of systematically generated answers (that i expect will be highly uncertain and full non dominated options that will be harder to regress to my preferences) is dominated by the prospect of trusting my gut :) and, I reckon its more convenient and braggable to read up on the moat proximate problem domain than to reinvent the wheel. Maybe i should read about options trading in finance...
I think that “addiction to meta level” in your situation may manifest in trying to find the best method for dealing with the problem, and then even jumping to finding the best method to dealing with problems in general… and at the end, you have a lot of questions and a maybe new topic to study… while you should have a new good and well-paying job instead.
In the future should I screen jobs by salary in advance to save on application time?
If you know that you will refuse any job paying less than X, and if the information is easily available, you obviously should.
What is my acceptable minimum salary for full time work?
Start with “your previous salary + 50%”. If at the following 10 interviews you get feedback that you are asking too much, adjust downwards.
But the important thing is to do the job interviews, at least once in a while. Instead of just sitting at home and trying to develop the Perfect Algorithm for Job Choice.
I am thinking about optimal value salvage from foregone opportunities. To illustrate the application: I recently turned down an interview offer for a poor paying (<10k AUD annually) full time job in India. The pay was the decisive in my decision. In the future should I screen jobs by salary in advance to save on application time? What is my acceptable minimum salary for full time work? Should I disclose my error to the employer, friends and/or the public (e.g. by blogging? Commenting on existing material by others? Social media?). And meta questions like is this task formulated at the optimal level or abstraction and where is its relative importance? I have not systematically answered these questions. Writing this out gives me feeling that the cumulative reward of systematically generated answers (that i expect will be highly uncertain and full non dominated options that will be harder to regress to my preferences) is dominated by the prospect of trusting my gut :) and, I reckon its more convenient and braggable to read up on the moat proximate problem domain than to reinvent the wheel. Maybe i should read about options trading in finance...
I think that “addiction to meta level” in your situation may manifest in trying to find the best method for dealing with the problem, and then even jumping to finding the best method to dealing with problems in general… and at the end, you have a lot of questions and a maybe new topic to study… while you should have a new good and well-paying job instead.
If you know that you will refuse any job paying less than X, and if the information is easily available, you obviously should.
Start with “your previous salary + 50%”. If at the following 10 interviews you get feedback that you are asking too much, adjust downwards.
But the important thing is to do the job interviews, at least once in a while. Instead of just sitting at home and trying to develop the Perfect Algorithm for Job Choice.