The password managers ("Passwords" and "Keychain Access") seem deliberately limited. A few issues that I noticed:

The discrepancy between the "Passwords" and "Keychain Access" app. Passwords manages 2FA codes whereas Keychain doesn't. Keychain allows you to add another URL for a password whereas Passwords doesn't. The latter issue often leads to headaches dealing with passwords when the URL of the login page is not the same as the URL for the second part of the 2FA.

An example that became unnecessarily frustrating. Heroku makes you login to dashboard.heroku.com but the 2FA code needs to be filled in at a salesforce URL. Since I can't add this salesforce URL to the existing password (+ 2FA code) I have to manually copy the code. The shortest routine I found for that is:

1. CMD+Space. 2. Enter "passw". 3. Click on the search bar. 4. Enter "Heroku". 5. Click on the password. 6. Go back to the web page to enter the displayed code.

Simply having the option to add another URL (which was possible in Keychain Access) would solve this entire issue...

I have to disagree with you. While assuming Gaussian disturbance terms results in a linear regression, the linear regression framework is more general. It makes no assumptions about the distribution of the disturbance terms. Instead, it merely restricts the variance to be constant over all values of the response variable.

Both things can be true.

Linear regression is extra-special because it's a special case of several different frameworks and model classes.

I should have written that it's better (in my opinion) to think of logistic regression in the context of GLMs, at least while you're learning.

Edit: yes logistic regression is a special case of regression with a different loss function. But it's not nearly "as special" as linear regression.

As above, I would strongly agree with you. Both linear and logistic regression can be special cases of frameworks that are more general and far less parametric than GLM. But they also have very intuitive or hands-on explanations, especially logistic regression, which GLM doesn't have.

Mask shortages are showing up all over Europe too. France and The Netherlands already started shutting down general practitioner offices due to a lack of protective gear. A month ago the WHO already warned for this shortage (https://www.theguardian.com/world/2020/feb/07/who-warns-glob...)

It's kind of heart-breaking to see people wearing the N95 masks on the streets, while hospitals are having a hard time to find sufficient protective gear to keep the hospital afloat.

Suppose you have a school with 30 groups of students. All students are randomly assigned to the groups (so independent of their skill at IQ tests). The distribution of measured IQ within classes can be any distribution. But let’s take the 30 averages of the groups. The mean of these averages of groups (asymptotically) follows the normal distribution according to the CLT.

not the mean of the means - just the means themselves.

The distribution of the original population of iqs in the school is what you're sampling. Each group is a sample. The distribution of the sample mean approaches a normal according to clt as the sample sizes increase.