LetThereBeLight

Joined 6 years ago

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Comment · 3 years ago
Comment · 3 years ago
Comment · 3 years ago
A large issue is that PIs have no training on how to manage people nor is there much protection for grad students (and practically none for postdocs). It is surprisingly common to hear stories of sexual harassment, or international researchers essentially being held captive by their advisors. The universities are motivated to maintain their public appearance, and so cases of harassment and mistreatment are either entirely ignored or dealt with quietly. This, in addition to pay issues, is also playing a significant role in the unionization efforts that are taking place across US universities.
Comment · 4 years ago
By "robots" they mean algae cells coated with a drug.
Comment · 4 years ago
Double-blind is not all that feasible unless preprints, conference posters, and talks were also all done anonymously.
Comment · 4 years ago
Anyone interesting in learning more about Gorbachev's life, I recommend watching Werner Herzog's Meeting Gorbachev.
Comment · 4 years ago
Funny to see this pop up, it's from 2008. I worked with Martin for quite a few years and we spoke about this article at one point. If I recall, the intended audience of this article is primarily incoming graduate students.The point being that the experience of doing research is very different from taking classes. It is not uncommon to see those who excelled in their undergraduate studies go on to graduate school and be dismayed to find that a PhD program uses a different skill set from getting good grades.
Comment · 4 years ago
I agree, there are a variety of plotting library options in Julia but they aren't nearly as developed/robust as matlab (e.g. quiver plots). There are a number of plotting functions that have completely changed how they work across versions and generally lack descriptive documentation. There have been several occasions where I had to give up and export my data into matlab to generate a plot. I also think the image analysis libraries are underdeveloped.
Comment · 4 years ago
It is striking to me that this article doesn't discuss the negative impact such a technology will have on actors and translators. In fact, the author makes the surprising claim that there is a shortage of translators and voice actors, which is very hard to believe.
Comment · 4 years ago
Should add 2020 to the title. This is the relevant paper: https://www.pnas.org/content/117/4/1853

I am curious to hear what HN thinks of calling these things robots. These are frog embryos that have been surgically reshaped and had muscle cells implanted in them.

Comment · 5 years ago
Sorry, I should have been more clear in my post. I meant to say that, if I no longer want to support Apple (or Google) because of their behavior, are there any reasonable smartphone options available? It seems to me that this is the only way I can protest against what Apple is doing.
Comment · 5 years ago
My question after reading this article is, what can I do as a current iPhone user? Is there a reasonable alternative phone out there that can run the same apps but that isn't effectively controlled by Apple or Google?
Comment · 5 years ago
More specifically, this paper is focused on the social sciences. That's not to say that this isn't present in the basic sciences either.

But one other thing to note here is that these headlines about a "replication crisis" seems to imply that this is a new phenomenon. Let's not forget the history of the electron charge. As Feynman said:

"We have learned a lot from experience about how to handle some of the ways we fool ourselves. One example: Millikan measured the charge on an electron by an experiment with falling oil drops, and got an answer which we now know not to be quite right. It's a little bit off because he had the incorrect value for the viscosity of air. It's interesting to look at the history of measurements of the charge of an electron, after Millikan. If you plot them as a function of time, you find that one is a little bit bigger than Millikan's, and the next one's a little bit bigger than that, and the next one's a little bit bigger than that, until finally they settle down to a number which is higher. Why didn't they discover the new number was higher right away? It's a thing that scientists are ashamed of—this history—because it's apparent that people did things like this: When they got a number that was too high above Millikan's, they thought something must be wrong—and they would look for and find a reason why something might be wrong. When they got a number close to Millikan's value they didn't look so hard. And so they eliminated the numbers that were too far off, and did other things like that ..."

https://en.wikipedia.org/wiki/Oil_drop_experiment#Millikan.2...

Comment · 5 years ago

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