For example, compare http://www.jefftk.com/index to http://www.jefftk.com/index?PageSpeed=off
3,404 karma · joined July 1, 2009
For example, compare http://www.jefftk.com/index to http://www.jefftk.com/index?PageSpeed=off
(Disclaimer: I work for Google, on open-source software that doesn't have anything to do with ads.)
US federal minimum wage is $7.25 (and higher in many states), with income tax being functionally negative at low incomes. You could adjust downward by 10% to account for the five weeks of paid leave but that still gets you $6.50/hr.
We’d like issues to gain a first-class voting system,
and for content-less comments like “+1” or “:+1:” or
“me too” to trigger a warning and instructions on how
to use the voting mechanism.
Why bother users with a warning? Turn it into a vote, and then highlight the vote icon so you can see what happened.(Disclaimer: this is what I work on.)
With a big enough N, the probability of reaching
significance approaches 1.
Well, not with an A vs A experiment. Then the probability of significance at the p < 0.05 level should stay 5%.On the other hand, in an A vs B experiment where B is very slightly different from A you're right that with a large enough population you become very likely to reach a p < 0.05 significance level, just with an extremely tiny effect size. The experiment has told you something about the difference between A and B, and you now have high certainty, but it's just such a small difference that you probably don't care.
Have you ever approached a tool in the field that
would fail my proposed test?
Your proposed test being, run an A vs A experiment and a tool is faulty if it concludes there's a difference significant at the 0.05 level more than 5% of the time? All the tools I've used for A/B testing would do fine on this test. This includes a custom tool at a computational advertising startup I worked at, Google's internal experiment platform, and Google Analytics' Content Experiments.(If I didn't trust a tool to pass this test I'd just use it to get the counts for both sides of the experiment and do that stats on my own.)
statistical significance is meaningless when split
testing websites (you are guaranteed to archive
significance if you run the test long enough
Wait, what? Not if you use the right test to evaluate your change. This article isn't showing that A/B testing is bunk, it's showing that Optimizely is using an inappropriate test. Do an a/b test with identical versions of you site.
Spoiler: With 100% certainty, you'll see both significant
results and a sizable effect size difference.
The whole point of significance testing is that, done properly, it tells you how likely you would be to get these results by chance if the two sides of the test were actually identical. Running your A vs A experiment and evaluating it correctly you'll find results significant at the p < N rate N% of the time. And the longer you run it the lower your estimate of the effect size will be.Drywall is made of stone.
Even just "number of miles driven" is a strong signal.
I think you and jessaustin may be using different interpretations of that term, judging by their reference of the McDonald shooting. People are much more ok with police officers doing what they need to do to keep themselves and others safe at the time (your usage) than they are with officers lying about why they used deadly force after the fact to keep from getting in trouble (their usage).
The recent improvement in car accident rates is pretty impressive.
The earliest source I can find for this is https://neil.fraser.name/writing/tank/ but it says it "might be apocryphal".
The Nexus One and 7 were too:
* http://searchengineland.com/surprise-googles-home-page-promo...
* http://www.cnet.com/news/googles-nexus-7-tablet-pops-up-in-r...
That's a pretty big caveat, and is a big problem with their data. I'm at a big publicly traded company and my taxable comp is 60/30/10 between salary, stock, and bonus. Comparing just the salary portion with another company where comp is mostly salary wouldn't be very helpful.
I wish people talked more about total comp and less about salary.
Chrome does not perform pin validation when the
certificate chain chains up to a private trust anchor.
A key result of this policy is that private trust
anchors can be used to proxy (or MITM) connections,
even to pinned sites.
-- https://www.chromium.org/Home/chromium-security/security-faq... [they] briefly implemented a strategy where
one in every nine vending machine bottles
was empty ... this effectively raised the
price to 5.625 cents.
Instead, charge $0.10 but 44% of the time you get your dime back along with the bottle. Effective price is the same 5.6 cents, but people are excited to get free bottles instead of mad and disappointed.(This might be illegal, since, it's a lot like gambling, but both versions should be equally illegal.)