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wdevanny

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At the very least I would expect a "Did you mean..." message at the top. In fact, it correctly does this for the "Neal" query. The lack of one indicates a failure on google's part to understand the answer it gives.

Yes, people probably don't make this exact query in good faith very often, but it raises significant concerns for other queries where google tries to supply an answer.

See for example: https://gizmodo.com/googles-algorithm-is-lying-to-you-about-...

Yes, he did. From [1]:

"The typical mask you buy in the drug store is not really effective in keeping out virus, which is small enough to pass through material. It might, however, provide some slight benefit in keep out gross droplets if someone coughs or sneezes on you."

He added: "I do not recommend that you wear a mask, particularly since you are going to a very low risk location."

Fauci has previously been criticized for changing his position on masks. Early on in the pandemic, he advised against wearing face coverings, but that advice evolved over time.

[1] https://www.msn.com/en-us/news/us/fauci-said-masks-not-reall...

While it does seem like the insurance company is most likely "at fault" for the fraudulent data, how did none of the researchers catch this?

My understanding is that even looking at a histogram of the mileages should have raised serious doubts about the data.

A quick search turns up numerous results of the first two. I know I've heard the fineapple joke before. Those are also the only two I would consider a pickup line. Is there a reason you consider these results better?

The gender pay gap is a statistic that requires some nuance to evaluate and I think your analysis is reductive. Yes, if you add in controls it lessens, but why? Why do women as a population have systematically lower levels of work experience? The pay gap is an assessment of how well our society is structured to allow people of both genders economic opportunities.

Shouldn't choosing to raise a family account for the experience gap? Yes, this is an example of one way that we've structured society so that women tend to have fewer career opportunities. IMO, there is not a good reason men (as a demographic) shouldn't be spending an equal amount of time raising children.

It's a difficult problem area. I would bet naively normalizing the data would introduce many new concerns. Does the amount of crimes reported scale linearly with police presence? If not, your data is now going to be skewed. How do you count police numbers in an area? Man hours, individual officers, or something else? Keep in mind that not all officers are going to be responding to the same type of crime and so police hours are not interchangeable.

IMO machine learning algorithms are brittle and prone to breaking in unexpected ways. In the past, organizations who should have known better and should have been smart enough have produced bad machine learning systems. Policing is a highly sensitive area. It's okay to be very concerned.

I think many of the mathematicians would agree with:

This "racial bias" is composed of data collected from crime statistics.

They disagree that crime statistics are reflective of where crime occurs. They are more reflective of where police officers are and where crimes are most easily spotted. For example, the racial disparities in policing crack cocaine versus powder cocaine.

Predictive systems that read in biased data will produce biased data.

Are startups that have collected data on 50% (or even 10%) of the US population still small enough that complying would be burdensome?

The answer here depends a lot on what the hypothetical regulation would be.

Does anyone know how many consumer oriented startups reach 30 million customers?

Are you prepared on the basis of a student not successfully making the change to fail that student and/or expel them from their university? Sure you can invite them in for an interview, but what happens if the student just denies any accusations.

I am also skeptical you could find appropriate trivial changes to request. Students, and particularly beginner students, may write very unconventional code that may not be as easily modified as a well-thought-out solution.

The parent comment was presenting one possible reason to explain the grandparent's observation. They were not trying to perfectly describe the real world, but only to point out that two seemingly conflicting points of view can be reconciled. I think the parent probably wrote their comment starting with the same thought as you: that the real world is more complex than a simply stated opinion.

Saying "your analysis is bad and wrong." comes off as dismissive and I think you should read the HN Guidelines.

I noticed your two links mention different unions striking; some further research might be important here. One of your links is not graduate students striking, but the union for skilled workers at UCSC. The other is a union-sanctioned strike during (I think) a contract negotiation year. Neither is representative of the assertion that graduate students strike every year.

I was thinking along the same lines when the systems of linear equations came up. The difficulty is that the variables are 0-1 while the equations are over the integers. So this is not quite as simple as solving a system over F_2, but is instead feasibility testing of an IP with 0-1 variables and a 0-1 matrix.

I wonder if solving the LP-relaxation might lead to a rounding based approach.

IMO, the entire problem with the US education that I experienced is the insistence on a bullet pointed list of things to cover, a minimum grade on how well the students retained that specific knowledge until the test, rather than gauging students' understanding and ability to learn and adapt.

I 100% agree and I think the educators I've spoken to (several friends are teachers) would also broadly agree, but that's not what the post advocates.

My understanding of your reply is that your school had many of these elements, but they weren't quality or weren't emphasized appropriately to students which is fundamentally different from the post's view that these things didn't occur.

This is a common complaint that confounds me. Did other people go to schools with radically different curricula?

I had multiple teachers discuss note taking habits, using a planner, how to approach reading a book, using mnemonics, and using the internet for research projects.

I had a health class that discussed good eating and exercise habits.

I remember being encouraged to find an after school club/activity and a day where career counselors came to class.

We had multiple arts and gym classes.

I remember a section of an English course where we covered professional skills such as public speaking and drafting emails.

Many of my classes required group projects.

I had multiple science classes that covered evolution and the cell.

Nearly everyone of the author's bullet points raised my eyebrows and left me wondering what their science/health/gym/English classes covered. I think the author fails to realize how much of what they want is already incorporated.

Edit: Corrected punctuation.