Friday, August 25, 2006

i am hungry right now

My car has only traveled like 60 miles in the last few weeks, so we're still ~300 short of 200,000. Here, briefly, I will note those who have driven my car some significant amount of time.

Me: drove this car a lot
Jingping X.: is learning to drive with it recently
Samantha A.: drove it quite a bit in previous years
Lindsay H.: drove it a bit my first 2 years in knoxville

Me and 3 girls, wow!

hey, whatever, i was just writing an e-mail to somebody, and i used the phrase "one of them's" as a possessive. i thought it was funny because it sounds pretty wrong, but i think it's right. it was like, "two of my friends have a birthday today, and i know one of them's e-mail address". it would be kind of like if i wrote, "i know one of you's mama" (in this case it would obviously be easier to say "i know one of y'all's mama). i thought it was funny because it sounds pretty wrong, but i think it's right.

obviously it shouldn't be "one of their address", though i could have said "one of their addresses", with "one" referring to a member of the address group and not the friend group.

now, if we were speaking victorian pseudo-latin new-french english, maybe i could say, "i know one's of them address", but that sounds pretty weird.

In other news, I have been keeping track of all the loads of spam i get in my UofL account every day. Every hour actually. Every 36 minutes and 20 seconds actually. Here are some charts!

Here is the local period of junkmail message arrival. The vertical axis is in time-between-messages, and the x axis is date; the horizontal divisions are at noon every day.

{please click it so you can see the detail!!!}

So, a high dot means that several hours passed before that particular message arrived; all those dots on the 0 are from the messages that appeared simultaneously with other messages. There are a lot of those: almost 350 as of 5:05 pm on 8-25-06. We will probably break 400 sometime tomorrow morning. Now, I've just been keeping track for 17 days now, but 331 simultaneous spams is a big chunk of the 678 total since 8-8-06 (almost half, at 48.9%). Something may be going on here.. Here's a clue: the simultaneous messages are always identical to eachother.. Hmm..

Okay, next:

I'll just cite some statistics. For one, how many of these e-mails do I get every day? I will tell you. 678 e-mails divided by 16.9 days is almost exactly 40! Weird! I get almost exactly 40 crap e-mails a day!

Next, you wonder, how frequent are they? Are they getting faster? Very frequent! Yes, they are! On average, I get one every 36.33 minutes; however, the median interval is only 9 minutes, thanks to all those simultaneous duplicates screwing up the distribution. And they are getting faster!

I can average together the current intervals with each prior intervals to get an idea of the overall change in interval over time: if this number is 0, that means they're coming in no faster today than 16.9 days ago. If it's positive they're slowing down. But no, it's actually -23.85 seconds! The interval between junk e-mails is now 23.85 seconds shorter than when i started keeping track! (actually this isn't really accurate, since there's so much variance [just look at the plot above] i can't tell what the current average interval is or what the original average interval was.)

What next!

{please click it so you can see the detail!!!}

Here you can see the arrival of my junk e-mail collapsed across date, to see if time of day has an effect! Look! Obviously, the pink line describes the (normalized) number of e-mails that have arrived at that time of day- you can see that they like to arrive at lunchtime the very most, 12-13 o'clock.

The blue spots are just the inverse of the data shown in the first plot (actually the inverse of that data plus 1; otherwise all the simultaneous e-mails would get undefined values here). This means that it is a plot of frequency across time, get it? It obviously tracks with total arrival density (look at the blue line, which is just the average of all the blue dots, and compare it with the pink line).

Oh well, there you go!


  1. Goodness? I looked at one's of them's charts, to see the detail's. But the detail's weren't as much as I hoped more than what I could all ready see.

    I am hungry too?

  2. Statistical Data:

    4 A's
    4 T's
    2 I's
    2 S's
    1 C
    1 D
    1 L