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Comment SVN? (Score 1) 148

This isn't a specific git problem. It's a windows problem.

I have source trees that I can't check out of an SVN server on windows because either the files get overwritten by different case filenames being aliased onto the same file or the file tree being to deep for windows.

Comment Re:Innovative sheepdips (Score 1) 91

>From my understanding CSIRO solved the key problems for microwave echo cancellation and invented the IC's that encapsulated the fast fourier transforms. Here is an article with a video if it is too long to read.

You mean OFDM? Try googling "who invented OFDM". It dates back to the 60s.
I am one of the authors of 802.11 and 802.16 that both use OFDM. So are many other Slashdot readers.

Comment The "wheel" group is an admin group (Score 4, Informative) 118

Truth: some Linux distros have a "wheel" group.
Truth: this group is used as a list of people with elevated permissions
Truth: one of the elevated permissions often assigned to this group is the ability to become root, especially with sudo
Falsehood: all users on a Linux system are members of the "wheel" group
Falsehood: one can add oneself to the "wheel" group without having permissions already elevated above regular user status

tl;dr: someone misunderstands groups and called it a vulnerability

Comment Re:No problem. (Score 1) 137

> That may be news worthy, but it deserves a more accurate headline: new statistical test can form confidence bounds for how unlikely a it would be for a new parameter to be of this magnitude if there were causation: when combined with existing test it may discredit more potential claims of causation than previously practical.

Bingo. You have won the internets.

Comment Re:Always (Score 3, Informative) 137

An algorithm changes its behavior based on the value.

The example I gave is a sneaky algorithm in the FIPS spec that deletes consecutive values when they match.
I.E.
If this_value == last_value:
    don't output this_value
else
    do output this_value.

This is on the output of an RNG and so it reduces the entropy in the random numbers because there are no matching consecutive numbers, whereas in a full entropy stream, all pairs would be equally likely.

In the context of noise in statistical analysis, it can confound the additive noise models.

Algorithms that do things to data, but don't look at the values of the data when deciding what to do are not data dependent and so that limits the scope various bad things to happen.

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