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Posted on 9/1/17 at 4:40 pm to notsince98
quote:
They also don't politically alter their engine on a daily basis
This.
I've been using them for about 10 weeks now.
Posted on 9/1/17 at 4:53 pm to notsince98
I will start using them because I hate google
Posted on 9/1/17 at 4:53 pm to theunknownknight
quote:"Private" is a relative term I guess.
lulz at anyone who thinks anything on the internet is private
Google is about like walking out nude to get your morning paper and assuming no one saw you.
DuckDuckGo is like reading that paper in your home and assuming no one saw you.
If you are Sharyl Attkisson, James Rosen, or Seth Rich, perhaps the latter is a poor assumption. For most of us, it makes a difference.
Posted on 9/1/17 at 5:03 pm to Motorboat
quote:
Looks pretty decent. I will miss the maps
Use !gm in front of your search to use google maps. Unfortunately, other map searches aren't quite there yet.
Posted on 9/1/17 at 5:09 pm to imjustafatkid
I used startpage which queries Google with your search so essentially a search proxy with the same privacy shtick as DDG. I was under the impression this is how DDG did it as well. Startpage also provides an actual proxy to browse from as long as you don't go more than 1 step from the search.
Posted on 9/1/17 at 6:49 pm to buckeye_vol
quote:quote:
A percentage growth rate is exponential...
No it's not. Exponential growth in non-linear, while multiplicative (geometric) growth is linear because it's a constant rate of change. You can represent it as multiplication, but the rate of change would not be constant.
A percentage growth rate is exponential. When the amount increased scales with the current total value, that's exponential. Linear growth would be if they were adding a similar number of searches per month.
Increasing by 1million searches per month is linear.
Increasing number of searches by 1% per month is exponential.
Posted on 9/1/17 at 7:13 pm to Korkstand
quote:You're right, and I should have realized that since I used the geometric mean to figure out the growth rate. I should have known this because I've done multiplicative time series regression for multiplicative seasonality, which requires using logrithmic functions.
A percentage growth rate is exponential. When the amount increased scales with the current total value, that's exponential. Linear growth would be if they were adding a similar number of searches per month.
Increasing by 1million searches per month is linear.
Increasing number of searches by 1% per month is exponential.
In other words, I look like an idiot. Although the rate of growth has been pretty constant for a few years.
This post was edited on 9/1/17 at 7:17 pm
Posted on 9/1/17 at 7:40 pm to Codythetiger
quote:
quote: If you're on the internet. Everyone who wants to know, knows what you are searching. Yeah.. no.
Why is that such a staunch no?
Posted on 9/1/17 at 7:52 pm to buckeye_vol
quote:
No it's not. Exponential growth in non-linear, while multiplicative (geometric) growth is linear because it's a constant rate of change. You can represent it as multiplication, but the rate of change would not be constant.
Look at the big brain on buckeye vol!
Posted on 9/1/17 at 9:32 pm to notsince98
quote:Yeah. I'm an idiot. I was mentally I was thinking in my mind that to get the predicted value of (Month N), you take 1.03*(Month N-1), so therefore I was conceptualizing the growth as 1.03*X, which would he a traditional regression equation but an additive model for time series. I was overlooking that X is Month and also overlooking that a multiplicative model equation for Month N be the result product of the Months through Month N, unlike the Sum of Months in the additive model (1.03*Months) so it would make the equation 1.03^Months.
Lol... Wow. You really should go research that again.
I should have known this because the various software we used in my Time Series Course handled Regression for a Multiplicative only trend (although most do have Multiplicative Decomposition Methods for seasonal Data), so we manually transformed the data using logarithms since they are the inverse function of exponents, and allow the multiplicative model to be analyzed with the typical additive regession methodology.
In other words, I was completely wrong, and my responses were inexcusably false.
Posted on 9/1/17 at 9:40 pm to 14&Counting
quote:I'll admit my stupidity. I even explained my reasoning, which actually makes it worse, since I should have known better as I have experience with time-series analysis.
Look at the big brain on buckeye vol!
Posted on 9/1/17 at 9:41 pm to notsince98
frick Google.
Done with those libtard fricks.
Done with those libtard fricks.
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