We've been told by the climate experts that increases in atmospheric CO2 levels will cause Earth to warm rapidly and dangerously, to the point where civilization's existence was threatened...but what if these "experts" were completely wrong and there is actual empirical evidence to prove them wrong?....
Well, the NOAA empirical evidence from their global temperature dataset indicates that longer term changes in atmospheric CO2 levels are definitely not producing anywhere near the expected long-term changes in global temps, as predicted.
Indeed, "wrong" is likely an understatement.
As a result, the experts' CO2-induced CAGW IPCC hypothesis is revealed for its true nature - basically, a hypothetical nothing-burger.
Let's be clear: the actual NOAA empirical evidence, from the global temperature climate instrumental records, does not support the hypothesis that long-term changes in atmospheric CO2 levels produce rapid accelerating, dangerous global temperature changes.
The adjacent graph of 10-year CO2 change plots, and concurrent 10-year change in NOAA global temperatures, is unequivocal: there is no correlation between the two, unless one wants to argue that a r2 of 0.08 somehow indicates a strong relationship.
The chart includes a 60-month average (purple) curve of the 10-year temp changes; likewise there is a similar average curve (dark grey) for the 10-year CO2 changes. Obviously, these curves show no relationship and essentially are now moving in opposing directions. The purple curve (temps) reflects a pattern of climate ups and downs, while the grey curve (CO2) since 1960 suggests an exponential growth situation.
In addition, it has been noted on the chart when extreme 10-year temperature changes have taken place - those rare increasing/decreasing temp changes that equal or exceed +0.6/-0.6°C. There have been 8 such events, 6 of which took place prior to 1960 (see light-yellow boxes on chart).
Hmm...what's that you say?...growing human CO2 emissions have caused a greater frequency of extreme climate incidents during the modern era? Ahem...a definitive 'Nope!' will suffice at this point.
In summary, if long-term changes in atmospheric (ppm) CO2 levels caused long-term changes in global temperatures, then the chart would have plots of the two principal change datasets tracking each other - in reality though, they're demonstrably different.
The NOAA empirical evidence strongly undercuts the CAGW hypothesis and, btw, demonstrates for the related hypothesis (which states that CO2 acts as a climate thermostat/control knob) is laughable nonsense.
Does all of the above indicate that human emissions have zero influence of global temperature changes? In fact, it does not indicate that; instead, it indicates that the CAGW hypothesis is without factual merit and that the climate sensitivity to CO2 is likely significantly lower than the IPCC "experts" proposed.
With all that said, the data strongly suggest, at best, a rather trivial CO2-influence on longer-term temperature change and its being indisputably non-dangerous.
Note: Temperature dataset; CO2 datasets. Excel was used to calculate 10-yr changes (ie. differences); to calculate r2 using the slope 'correl' function; and to produce plots and 60-mth average curves. To calculate a 10-yr. temp. change example: subtract the August 2004 temp. anomaly from the August 2104 anomaly. The same subtraction method is used to calculate 10-yr. CO2 level (ppm) changes. Starting with January 1890, the 10-yr chg. calculations can be made for each subsequent month, resulting in 1,496 'decadal' datapoints (NOAA monthly dataset commences at January 1880). Hey, don't know how to chart in Excel? It's easy to produce charts - you can do it too! Go here to learn how.