Looks like they put off the science fair project for too long and had to throw this little number together the weekend before. Been there, I still remember mine: what genre of music will cats like? Hypothesis: classical. Result: hard rock. Sampled 4 cats over 5 genres, took an hour. Methodology was crap. Sample size was crap. It was a non-experiment that scraped a "you tried" grade
There should be more value placed in publishing things that didn't work as hypothesized. That way scientists in the future can know if a particular approach just doesn't work.
Something like this, but completely normalized in the scientific world, where it's ok to publish attempts, whether they succeed or not.
yea unfortunately publishing science (in certain levels) unfortunately now involves %50 razmatazz, %30 having some well established coauthor and %20 over selling. It has turned into a weird ecosystem that feeds on resource (jobs) scarcity in academia and makes insane profits for publishers.
Not surprised it attracted all kinds of vultures that feed on the scraps (predatory publishers). It is really smelling decay and puss from a mile away.
I had a null result for my MSc thesis. My supervisor lost interest immediately, and my funding went away. No interest in publishing a failure on his side, because the premise was flawed and he provided the premise. I dropped out and went to industry rather than be student poor with no funding.
I think we can agree "Good reseach" is in the how-its-done. I wish journals would chose/require/verify the how-its-done (time frame, resources, hypothesis, method etc) but after that be contractually required publish whatever conclusion is discovered by the team/project they picked and verified.
The thing that blew my mind most based on what I thought would happen when put to the test, was that elephants really are frightened of mice. I would have swore that was just a dumb cartoon trope and IRL the elephant wouldn't even give a shit.
I'm pretty sure that was in the 'yes, but also no' category. IIRC, they don't see very well and small fast things on the ground spook them, probably because snakes. Pick a mouse up and bring it up high enough for the elephant to get a good look at it and they're fine with it.
From what I remember they hypothesised that, but then put it to the test by having something else small move in front of the elephant and it didn’t care. Further confirming it was the mouse it was afraid of
I always had this with the story of field workers using masks in the back of their heads, in order to deter tigers from attacking from behind. I just couldn't imagine the tiger falling for it.
A lot of animals have bright spots in the back of their heads that kinda look like eyes, to deter predators. Actually, I believe tigers themselves have fake eyes on the back of their ears
Have you never watched mythbusters? Are we at a point in time where the Mythbusters are ancient history and not simply common knowledge? OMG what year is it? How old am I?
In April 2019, a Twitter post by Pyle from 2017 resurfaced regarding the pro-life rally March For Life. According to some reporters, Pyle's tweet expressed support for, or defended, March For Life. The tweet caused many fans to turn against Strange Planet and its creator, in a controversy described by at least one outlet as an example of the Milkshake Duck phenomenon.
Pyle released a statement shortly afterwards which did not mention abortion, but said that he and his wife "have private beliefs as they pertain to our Christian faith. We believe separation of church and state is crucial to our nation flourishing." He also stated they voted for the Democratic Party, and were "troubled by what the Republican Party has become and [did] not want to be associated with it."[25][26][27]
I'm sure all the women rendered dead or permanently infertile by the abortion bans passed since then can appreciate the nuance of Pyle's belief in the separation of church and state. /s
I guess I should've clarified; in reforcement learning "I was wrong in numerous ways" almost always translates to "unpublishable, try to not be wrong next time". Nobody cares if a reinforcement learning hypothesis didn't work, its only worth publishing if it worked well.