43 karma · joined November 13, 2020
Edit: These are all problems with real therapy too though, on further reflection. It took some time to find the therapist that works well with you. That can be a form of similar bias.
Also - give a call to some therapists. You can choose some arbitrary screening criteria that make you comfortable - like if you only want to talk to men because you're a man and worry about that, or if you want to find an lgbtq-oriented therapist, those types of things can be filtered. There are even faith-adjacent therapists - but I personally would be uncomfortable with that - but they exist!
Once you have a list after filtering down of 3-5 therapists, call each for a consult. During the consult, if you don't like the therapist, cross them out. After calling 3-5 you can choose the one that your gut tells you. If you can't commit even then, then flip a coin on them to be honest. If your gut tells you to go with two different ones, choose one at random and try it out.
Finally one other thing that I found surprising was even if someone marks cognitive behavioral therapy on their listing (A lot of them do!) - they may not use it in a 'tool-based' fashion. Meaning, you won't get a lot of homework.
If you are someone who needs take home work to be able to function, this could be a question you ask during your calls.
Here is an example of how it could go:
You have the criteria: 1. Must be LGBTQ positive 2. Must accept my insurance 3. Must be skills-based oriented around processing emotions
With these three, if I cannot find the information on their page, I can ask them during the consultation call something like:
1. If you don't accept insurance, can you do a super-bill so I can file a claim with my insurance? 2. Do you do skills-based learning as part of your practice They may say "no, but I do X, Y, Z" in response
Anyway, I'm not editing this down but hopefully that helps a little.
Additionally, people writing bots learn just like Google learns, and start generating what appears to be legitimate interactions. Same algorithms that fit to critique between 'bot' and 'non-bot' class can be used to create bots that fall into the 'non-bot' category.
It's a losing battle - but what we get is better than we would get if they collected less data.
But from my experience with Pandora, radio stations were localized. Liking a song did add it to a list somewhere, yes, but disliking a song just meant that a particular radio station on Pandora wouldn't have a song in that particular style, and other stations did not seem to be affected by this.
In other words, what you want to listen to, for me, seemed to be very contextual. And since I felt my dislikes were captured in a context (radio station), I didn't have any qualms disliking frequently using Pandora.
And my experience with Pandora for song discovery has always been much better.
I have had some success with certain tasks in the very high-frequency category, but almost no successes with anything that has a cadence higher than a month (always relevant.. https://xkcd.com/1205/)