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.
> "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.
Computer science lecturer interested in transitioning to industry. Very interested in opportunities involving graphs/network analysis, data science, and/or ed tech.
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?
I believe they are a part of Computer Systems: A Programmer's Perspective by Bryant and O'Hallaron. You can see a list of the labs at http://csapp.cs.cmu.edu/3e/labs.html.
Repeating a concrete example from another comment:
> Take two copies of K_4. Connect them with a single edge. The minimum cut is the single connector edge while your proposed strategy would delete the three edges out of one of the vertices not incident to the connector edge.
Take two copies of K_4. Connect them with a single edge. The minimum cut is the single connector edge while your proposed strategy would delete the three edges out of one of the vertices not incident to the connector edge.
Dijkstrta is infamous for his focus on handwriting. A student once told a story that during a 1-on-1 oral exam, Dijkstra spent half the time having the student practice their handwriting.
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.
Rating distributions are often not normal because some subset of players study the game and take it more seriously resulting in a bimodal distribution. See [0] for an example in Chess.
Normal has myriad uses in mathematics. See [1]. Somewhat annoyingly there is no common thread to their meanings (Or at least not one that I am aware of).
The article intends normal number, not normal distribution.
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 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.
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-...