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πŸ”₯ Kareem Carr πŸ”₯ Profile picture
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20 Mar, 5 tweets, 2 min read
I think I may have a succulent addiction ...πŸ˜…
I like to re-pot them in fast draining soil.
I’m excited about this one which I think is a Lithops species of some kind. It’s my first.
while I’m at it, here’s some American frogbit ...
And here’s my little duckweed pond 😁

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More from @kareem_carr

πŸ”₯ Kareem Carr πŸ”₯ Profile picture
17 Mar
I gave up on talking about race on Twitter because I was having the same argument over and over again. In this thread, let me explain THE ANATOMY OF A TWITTER RACE ARGUMENT.
Whenever someone says "X is white supremacy" on Twitter where X is perfectionism or individualism or math worship, there are a constellation of reactions. Many of them predictable.
If X is a genuine point of division, it will often be the case that most white Americans tend to do and like X while most black Americans tend to dislike and not do X. This cultural difference may or may not be problematic.
Read 24 tweets
πŸ”₯ Kareem Carr πŸ”₯ Profile picture
9 Mar
I've been in science for a while now and as far as I can tell, there are two types of people in this line of work. Those that think we should give everything to science and those that don't.
These two mindsets produce two types of work environments. I'll call them the results-first workplace and the people-first workplace.
In the people-first environment, they prioritize healthy work habits and relationships. Science is a critical piece of a whole and healthy life. In the results-first environment, all that matters is the outcome. People get the job done whatever the cost.
Read 17 tweets
πŸ”₯ Kareem Carr πŸ”₯ Profile picture
7 Mar
At the beginning of a science, the first step is always to declare the thingness of something that we want to study. This is a star. That is a cow. This is a society. That is a race. This is a mind. That first step is actually a huge step which we rarely ever talk about.
It's just kind of assumed that obviously we can just identify things as clearly being real using our senses and our intuitions and as long as our scientific conclusions seem predictive to us (using the same senses and intuition) then we assume we must be on the right track.
Social phenomena present a real challenge here because we can't perceive social reality directly with our senses and different people have different intuitions which seem to lead to different frameworks which all seem to have some predictive validity.
Read 5 tweets
πŸ”₯ Kareem Carr πŸ”₯ Profile picture
3 Mar
I've decided to pull back from talking about race on social media. There are many reasons for this but the most important one for me is it has come to feel like a pointless energy drain that doesn't seem to make a difference.
During the summer, I was inspired to use my "platform" to be a "voice" but I don't think it has been very productive. Although many commenters have accused me of talking about race out of self-interest, I actually see it as a moral duty to help. A duty and often a burden.
I'm sure it has professionally hurt me. For instance, many people have made assumptions about my competence and intellectual background that simply aren't true.
Read 10 tweets
πŸ”₯ Kareem Carr πŸ”₯ Profile picture
28 Feb
Any philosophers of science willing to vouch for the accuracy of this chart?

I don't think my view is represented here. Basically, I think scientific models start out lower down and can be moved upwards through different degrees of reality as work on them. Image
So my perspective is sort of a No-Free-Lunch or Very-Little-Free-Lunch perspective on scientific realism. Before I accept your theory, I want to characterize how much work you did and what kind. I don't want to give you "scientific reality" for free.
This is why I'm kind of a skeptic on "2+2=4" because in almost all cases one has done no real work to verify that a statement like this describes all of physical reality in practice. "All of reality" is very big you see.
Read 4 tweets
πŸ”₯ Kareem Carr πŸ”₯ Profile picture
27 Feb
Statistics Formulas Explained!

This is a thread for data science beginners with a fun little twist at the end for the pros!

It will explain the formulas for:
1. the mean
2. the variance
3. and a fun link between both 🧡

Keep reading to find out more! πŸ‘‡
Let's get warmed up by reviewing the definition of the mean or average of our data.
The variance formula looks a lot like taking an average but it's the average of the distance from the mean squared.
Read 10 tweets

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