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Comment I've been writing code like this since 1985. (Score 1) 65

In all seriousness though, have you ever tried to analyse unstructured text? It's hard. How would you realistically improve it? Do you start with a preconceived list of technology key words and count them in the resumes? People misspell words. Words have multiple meanings depending on context.

I've been writing code like this since 1985. Then, it was in LISP.

It's actually trivial to me at this point. You end up with a meaning trie with differential probability vectors, and some of the roots wither away as you go down. Making a machine decision is harder, but not entirely impossible.

I get incredibly annoyed at people like Lazlo Bock who want to put everyone's resumes into a form that basically allows Google (Lazlo Bock works for Google) or other companies to magically allow you to come into a new job under the horse collar of a performance review of your previous job which they were in no way involved with.

The whole "HR metrics" industry... uh... kinda pisses me off? I pick companies based on criterion other than standard metrics. If they pick me that way... they do not deserve me. Mostly they stumble into me, I fix them, and then I exit.

I understand the "OMG we need people who know what they are doing and not recent graduates!" panic. Does not mean I sympathize.

Comment One-sided skepticism (Score 1) 278

I have a suggestion: I suggest you try analyzing blogs that attack climate science with just as much skepticism as you are applying to the actual climate science. You're showing one-sided skepticism: skeptical of the science, but completely credulous of the attacks on the science.

That blog post you link is full of misdirection and not-quite-right analysis. The graph by Bloomberg cites that the data graphed comes from the GISS. In fact, it is from a 2005 paper, Hansen, et al. "Climate simulations for 1880-2003 with GISS model E." Clim. Dyn., 29, 2007, pp. 661-696). The Watt's up post, though: what's up with that? He wrote a long and superficially detailed analysis... without linking a single reference. Why no references? It looks like he doesn't want you to check what he did. His motto is, apparently, "trust me... and don't verify".

Why does he not link to the source of all the data he is analyzing? Doesn't that even slightly make you wonder?

Then, he says it's "convenient" that the graphed data stops at 2005. Well, it's not terribly suspicious: since the paper referenced was published in 2005, it would be surprising if the data didn't stop in 2005). He then shows a graph that purportedly shows "the widening divergence between models and reality" that purportedly starts in 2005. No link to the actual source of that data, though it's easy enough to find. He prints that graph-- the largest graph in the criticism-- without mentioning that it's not even graphing the same thing as the article he's criticizing.

He leaves off any explanation of where the data comes from probably because the data points graphed are not surface temperature-- this is the temperature in the mid-troposphere: 8–15km in altitude (and, to boot, only in the tropics, not the global average under discussion.)

The graph Watts Up put in without explanation is charting something completely different than the subject being discussed! Now, you can argue (and Christy does) that tropical mid-troposphere temperate is something important to understand and model... but that's a change of subject from what the article being critiqued discusses.

Why doesn't he say that?

The answer is obvious: this is misdirection. He's not trying to spread understanding. He's trying to spread confusion.

Start reading the Watts Up with the same skepticism you are applying to the actual science. Check his references. Look for misdirection and changes of subject. There's a dozen places right in that post you link that you can find things that you ought to find suspicious.

...About the IPCC reports. Indeed I have read them.

No, you haven't.

Your posts show no knowledge of anything except the denier arguments. If you had read the actual work that the denier blogs are attacking, you'd be able to comment with some actual understanding, instead of the comments you are posting with weasel-wording of "I am quoting from memory, I may be wrong." What a great weasel wording! You already told me that you think you might be wrong!

As usual, your side doesn't debate anything, only appeals to authority.

I linked to the source that you stated you were getting your facts from. You were the one appealing to authority: I just posting the link.

Comment Read the blog post again. (Score 1) 65

Read the blog post again. http://insights.dice.com/2015/...

"I think that’s pretty cool, given we’re generating that automatically from job descriptions posted on our site. We also tried using the resume dataset, but the results were of a lower quality, as the skills extracted from resumes can be from different jobs."

It was extracted from job-postings, which would only identify Schelling points in the hiring industry, not skill clusters common to people with certain desirable skill sets; in other words, it "how to fudge your resume", rather than "how to find employees like the ones I have which I like".

Comment It's not very reliable data. (Score 3, Insightful) 65

It's not very reliable data.

They took the similarity vectors from the job postings, not from resumes, so rather than "what you're likely to know", they computed "what an employer is likely to want at the same time as wanting something else", and then declared that a similarity due to an already skewed cosine similarity metric. This happens because employers are more likely to copy other, similar job postings, or other job postings for companies in a similar business as them, or those of a company whose employees they wish to hire away.

They claimed that they tried using resumes, but that the resulting data was not as "clean"; uh... duh?

This visualization was not actually very useful, unless you are trying to design a resume to get yourself hired, regardless of your actual current capabilities.

Comment Source (Score 1) 278

Besides, it has been shown to be wrong.

You seen to think that by just saying that you will make it true.

As for linking to the IPCC... well that was more than useless.

Since you said you were quoting numbers from the IPCC, I would suggest that linking to the IPCC reports would be relevant. Since you now say it is "more than useless" to link to the source that you claimed to have based your post on, I'd say that your post is "more than useless."

I haven't seen anything to make me think you have actually read any of the IPCC reports-- I suspect your poorly-remembered data is something you poorly-remembered from some political blog somewhere. Have you actually read anything from the IPCC, the work you claim to be quoting?

Comment Re:i'm going with 98% of the scientific community (Score 2) 278

The numbers above are from the IPCC (albeit from memory, correct some of they are wrong).

Correct in the last part: some of them are wrong.

The actual IPCC documents are here: http://www.ipcc.ch/publication...

An interesting graphic comparing various sources of climate change is here: http://www.bloomberg.com/graph...

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