Not exact matches
«Our explicit calculations
show that though the
correlations start off very
small, they grow in time and become large enough to change the outcome.»
(Interesting note, there has been a
correlation shown between consumption of simple carbohydrates and increase in
small, dense LDL)
(2) Natural factors (volcanoes, solar cycle) influencing the trend are very
small in comparison to anthropogenic CO2 (as e.g. standard
correlation analyses
show, see for example Lean and Rind 2008, Foster and Rahmstorf 2011).
Completely independently of this oceanographic data, a simple
correlation analysis (Foster and Rahmstorf ERL 2011)
showed that the flatter warming trend of the last 10 years was mostly a result of natural variability, namely the recently more frequent appearance of cold La Niña events in the tropical Pacific and a
small contribution from decreasing solar activity.
None of the
correlations showed an r2 > 0.24 (highest in August), and most were much
smaller (especially during the key spring period where the variance explained was less than 5 %).
Hunter, All that you say may be true but the combined effect of all of these factors is so
small that, as is
shown, an excellent
correlation with the measured average global temperatures is obtained when they are ignored and the only factors considered are time - integral of sunspots and a temperature oscillation (the oscillation is probably from ocean turnover).
MWMT and MAP had relatively
small effects on tree growth (less than 40 % of the analyzed groups
showed significant
correlations), whereas the effect of MCMT on tree growth was mostly negative among the detected significant groups (Fig. 3B).
The
correlations over the full period 1900 - 2004 are here: and The latter still
shows some
correlation, but a huge change in temperature of halve the scale has a
small influence on CO2 levels, while the total change in temperature over 104 years should have a huge influence.
Apart from the
small number of observations on which Salby bases his theory, the main error is in jumping from
showing a
correlation between temperature and short term fluctuations in CO2 to concluding that the long term trend must also be attributable to temperature.
The same hurricane damage database that is too
small a sample to
show a
correlation with the Atlantic basin, annual total PDI is perfectly able to
show a very strong statistical relationship with another climate index, the annual ASO Nino 3.4 temperature anomaly index.
It is that the ice core samples CAN NOT actually STATISTICALLY
show any «Population
correlation», they are too
small, and so be indicative OF a «Population behavior».
Making more money, which law school you went to, the corresponding debt load, making law review, or the ranking of your law school itself — all of them — «
showed zero to
small correlations with lawyer well - being.»