• 2 Posts
  • 184 Comments
Joined 2 years ago
cake
Cake day: September 24th, 2023

help-circle


  • If anyone wants to look up the test, there are only two screeners that he would have done, both have some strong overlap. There is the MMSE and the MoCA. it is more likely he did the MoCA, it is the more popular, more commonly given, and slightly better for detecting MCI (mild cognitive imparement). With that said though, you can have dementia and still pass these. There really isn’t a ‘best’ screener developed. This exact problem gets brought up all the time in dimentia research. Basically, if you have strong suspicion they have to go to a neurologist that specializes in memory care and do a full evaluation. Good luck telling trump to do that.

    If you want to see them, do a search for it (MMSE or MoCA) and select images.


  • I was actually curious what the ratio is for normal vs rich in the US. If we look at who we call rich, we need to set a boundary first. A normal family that saves and invests right should retire at just over a million dollars. If you have a well paying job even 4-5 million is very attainable. Then you look at people with a well paying job in an expensive city, like what this post is centered around, we could realistically see someone as affluent but not truly rich at about 10 million. I would draw the line there though. To attain more than that by retirement age, you were definitely rich and living rich at some point in there, even in a big city.

    A quick search tells me that there are about 900,000 people in the US above that number, possibly more depending on whose number you take, but I think the best study put it there. The population is about 340,000,000. If we put this as a ratio trying to figure out 1:xxxx people and move some numbers around we end up with 1 rich person (over $10M) for every 378 normal people (under $10M).


  • I am not I your field, so take this as you may: I have seen two things in common across fields when it comes to prolific publishers.

    1. low hanging fruit. There are papers that need to be written or have never been written simply because people see it as low hanging fruit and too easy or low effort. This issue for the field would be that people still want to reference something that says this simple idea in their paper. This means that the people who write these ‘low hanging fruit’ papers get cited a ridiculous amount for their simple, basic, bullshit paper.

    2. collaborations. My PI (again, different field) is up there as one of the top contributing authors of the field and is easily what you would consider a prolific publisher. The has anywhere between 2-4 publications per year in high impact journals. And this isn’t counting posters, presentations, or the occasional bonus authorship you get for just being around when that paper was written. She does this through constant networking with people and collaboration in projects. She is also more than happy to look at other people’s long running projects and take out a slice of data and do a writeup on it. There are several projects people do that look at huge data collections, but then only analyze what they cared about and ignored the rest. Those become easy papers to write.




  • Fun fact- several of the contracts DOGE canceled were “preferential purchasing” contracts. Basically, the government knows it will be ordering pens, paper, computers, and all the other bullshit out there. So supply companies pitch contracts that say ‘for every thing on this random list that you buy, we will sell it to you for X% under market rate, but you have to purchase the first however many hundred or thousand from us, or until you reach some amount of money.’ And they pitch prices based on current market rates, even though they know these contracts are locked in for 5+ years some times and simply have some basic 2-3% yearly increase built in.

    It’s a win-win. The government gets to save you shit loads of tax dollars on things they were going to buy anyways, and some company is now doing massive volumes of buisness and pumping out jobs.

    Then DOGE comes in and cancells all of the contracts and claims they ‘saved’ the amount the contract amount was for. Ignoring that the government was going to buy those things anyways. And now we have no way to purchase things. So contracts get hastily redone at post inflation prices, plus everyone is now padding their numbers, because ‘if they canceled the last contracts on a whim, why won’t the do the same again? And we have to make our profit.’

    So now we have to pay a shit load more for everything all because DOGE wanted to claim they were saving us money.






  • Haha, I love audio. I used to be an audio engineer. It didn’t pay well so I went back to school with my GI bill and went for audiology. The dual doctorates actually helped bring the cost down at the expense of staying in school longer. As long as you are in the PhD program your tuition is waved and you get paid a stipend for being a TA/RA. So I planned for my GI bill to run out after my first year, then have been on PhD funding since. The only time I have paid tuition for my doctorates has been when I was on my externship. Then for the masters, it is called a “masters along the way” with no thesis required because I am in a PhD program doing a dissertation. And because neuroscience is in the same college as audiology, most of the classes overlap. I only had to take 5 more classes total. So I stacked 2 during covid (plus mt Aud/PhD classes) when everything was online and did 1 extra a semester for 3 semesters after that. Again, the only downfall of the free tuition is I am spending more time in school not making a my salary potential, but at least I have far less debt than my classmates.