The Digg Effect Statistics
Yesterday I posted an entry about a "hidden" feature found in the new Digg Stack and Swarm. I then submitted it to Digg, hoping it would reach the frontpage. Well, it did, and I have been tracking some statistics about the story ever since.
Here are some statistics:
The story took 72 minutes to reach the homepage and 19 hours and 27 minutes to get 2000 diggs. In that time, the story got roughly 13,000 pageviews.
OS Statistics:
Windows - 9649 pageviews (75.79% of total)
Mac - 2135 pageviews (16.77% of total)
PPC Mac - 1370 pageviews (10.76% of total, 64.17% of Mac)
Intel Mac - 765 pageviews (6.01% of total, 35.83% of Mac)
Linux - 799 pageviews (6.28% of total)

Browser Statistics:
Firefox - 9315 pageviews (73.16% of total)
Internet Explorer - 1580 pageviews (12.41% of total)
Safari - 1007 pageviews (7.91% of total)
Opera - 468 pageviews (3.68% of total)

Some things that I found interesting:
- 47.17% of Mac users were using Safari
- So many people were using Intel Macs even though they have only been out for about 7 months
- 8344 people were using Firefox 1.5.0.4 (the latest stable version), while 8648 people were using 1.5.0.x. So, 96.48% of Firefox 1.5.0.x users were using the latest version.
- Only 317 people were using Firefox 1.0.x (3.40% of all Firefox users)
Here are some more interesting facts about the actual digging:
It took 72 minutes for the story to reach the homepage, doing so with 55 diggs. Every so often I would record the number of minutes that had elapsed since I submitted the story to Digg and the number of diggs at that moment. I put the data into my Ti-83+ calculator to look at the results. After performing a few of the regressions, I surprisingly found that the data was almost perfectly resembled by a logarithmic function (r = .98847), with the equation being:
y = -2773.6240451677 + 694.1480838656 * ln(x)
In the graph below, the x (horizontal) axis is the number of minutes that had elapsed since the story was submitted, and the y (vertical) axis is the number of diggs that the story had received.

Here is the data that I collected:

Just so you know, I embedded a small 1x1 pixel image in the blog entry so I could track these statistics.
Here are some statistics:
The story took 72 minutes to reach the homepage and 19 hours and 27 minutes to get 2000 diggs. In that time, the story got roughly 13,000 pageviews.
OS Statistics:
Windows - 9649 pageviews (75.79% of total)
Mac - 2135 pageviews (16.77% of total)
PPC Mac - 1370 pageviews (10.76% of total, 64.17% of Mac)
Intel Mac - 765 pageviews (6.01% of total, 35.83% of Mac)
Linux - 799 pageviews (6.28% of total)

Browser Statistics:
Firefox - 9315 pageviews (73.16% of total)
Internet Explorer - 1580 pageviews (12.41% of total)
Safari - 1007 pageviews (7.91% of total)
Opera - 468 pageviews (3.68% of total)

Some things that I found interesting:
- 47.17% of Mac users were using Safari
- So many people were using Intel Macs even though they have only been out for about 7 months
- 8344 people were using Firefox 1.5.0.4 (the latest stable version), while 8648 people were using 1.5.0.x. So, 96.48% of Firefox 1.5.0.x users were using the latest version.
- Only 317 people were using Firefox 1.0.x (3.40% of all Firefox users)
Here are some more interesting facts about the actual digging:
It took 72 minutes for the story to reach the homepage, doing so with 55 diggs. Every so often I would record the number of minutes that had elapsed since I submitted the story to Digg and the number of diggs at that moment. I put the data into my Ti-83+ calculator to look at the results. After performing a few of the regressions, I surprisingly found that the data was almost perfectly resembled by a logarithmic function (r = .98847), with the equation being:
y = -2773.6240451677 + 694.1480838656 * ln(x)
In the graph below, the x (horizontal) axis is the number of minutes that had elapsed since the story was submitted, and the y (vertical) axis is the number of diggs that the story had received.

Here is the data that I collected:

Just so you know, I embedded a small 1x1 pixel image in the blog entry so I could track these statistics.

2 Comments:
At 2:16 PM,
OMODUDU said…
i find this very interesting as well
At 3:35 PM,
Ken said…
I don't see the charts are they on here?
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