Charts last updated Mar 5 2010. You can get the excel spread
sheet from which these charts are generated if you know who to ask.

Chart 2 is derived from the same data as chart 1, however it uses a 5
year running average to adjust its values and in effect remove

the lumps. If you are not familiar with this mathematical trickery then it goes like this. The values derived for the first 5 years (1990 to 1994) are added together and then divided by five to get the average value over the five year period. That value is the mid year of the range, in our case 1990 to 1994 gives the average over the period for 1992. This is repeated for the years 1991 to 1995 to yield the average for 1993 and so on. So if one year is a little high

comparatively then is is levelled out to show a more realistic trend.

the lumps. If you are not familiar with this mathematical trickery then it goes like this. The values derived for the first 5 years (1990 to 1994) are added together and then divided by five to get the average value over the five year period. That value is the mid year of the range, in our case 1990 to 1994 gives the average over the period for 1992. This is repeated for the years 1991 to 1995 to yield the average for 1993 and so on. So if one year is a little high

comparatively then is is levelled out to show a more realistic trend.

They are going to float up, and when they do they'll have a rub with the rest of the plates and so those plates move too.
Hence
global warming = increased seismic activity and more volcano activity as the weight of that ice, now water, is redistributed around the planet.
You don't need to be a scientist to figure this out.

Chart 1 shows seismic activity over the past 20 years up to the last
revision date. Adjusted? The chart is created by creating a level playing
field from earthquake data for earthquakes over 0.9 on the Richter scale.
Small
tremors could be attributed to a passing bulldozer or a mother spanking her
kids near the instruments so they are ignored.

The data is levelled by multiplying the number of recorded quakes by their ferocity (Richter scale value) to get a number that can be compared for each quake. For example; If in the year 1842 there were only 123 quakes of 6.5, and 12 quakes of 8.4, then 6.5x123 plus 12x8.4 equals 900.3 for 1842. The total of these numbers for each year is then divided by the total for 1990 (the lowest years value) thus bringing every year into comparison with a 1990 value of 1.

The data is levelled by multiplying the number of recorded quakes by their ferocity (Richter scale value) to get a number that can be compared for each quake. For example; If in the year 1842 there were only 123 quakes of 6.5, and 12 quakes of 8.4, then 6.5x123 plus 12x8.4 equals 900.3 for 1842. The total of these numbers for each year is then divided by the total for 1990 (the lowest years value) thus bringing every year into comparison with a 1990 value of 1.

If you wish a copy of the
excel spreadsheet from which these
charts are generated that you can play with yourself, then you should send
an email with *stueysplace* in the heading and request
one. The email link is at the bottom of the home page. We do not
disclose email addresses.

Unfortunately the data for these charts is provided on the USGS website and
is not very good. The reason for this is that the USGS says that the
data may be incorrect due to the increased number of sensors installed over
the period. Well then why don't they give valid data by using
only the sensors available in 1990 so as to eliminate this error?
You'll have to ask them that. I asked them but they didn't provide an
answer. I can only guess that Bushy the moron got to them first.