Emotionally charged labels tend to obstruct honest, factual debate.
Also I heard a neat saying once: "There are three kinds of mistruth: lies, damn lies and statistics." Statistics is an incredible valuable tool in the arsenal of science, but it's also one of the most commonly misused tools.
Here, let me ask you an honest question. Give me a name or a link to a climate change model which meets the following criteria:
1. The model was created at least 10 years ago.
2. The model can be fed data about suspected human and non-human causes for global warming.
3. When fed such data for the last 10 years twice, once including suspected human causes and once excluding them, it makes two predictions for world conditions today.
4. The difference between those two predictions is statistically significant versus measurement error.
5. World conditions today are consistent with the prediction made when including both suspected human and non-human causes for global warning and are not consistent with the prediction that excluded human causes.
I'm a skeptic. Not a denier, a skeptic. When I see a model that exhibits solid predictive value year over year, I'll be a believer. Until then, what I see is a lot of scientists taking sloppy shortcuts and then trying to cover the gap with dirty politics.
I know science. And I know politics. And the BS in TFA is pure politics.