A science presenter, writer, speaker & former TV host; author of The Skeptic's Handbook (over 200,000 copies distributed & available in 15 languages).


The Skeptics Handbook

Think it has been debunked? See here.

The Skeptics Handbook II

Climate Money Paper




The nerds have the numbers on precious metals investments on the ASX



It’s “special” science where one Hot Month is the signal, and years of The Pause is just noise.

Click to enlarge


We can always rely on Peter Hannam of the Sydney Morning Herald to accidentally advertise the unscientific stars of the Climate Church.

“Spike in global temperature fuels climate change fears”

It used to be that science was symmetrical — the laws of physics worked every day. You know, thou shalt not create nor destroy energy, it’s one of those unarguable things. But UNSW has a new “special” kind of science where the global temperature can pause for years and billions of quadrillions of joules of energy can disappear and who cares? In politically correct science this is noise. But one hot month, caused by an El Nino and strap yourself in, glue on the Armageddon-helmet. Panic-now, Panic-later, Fear and Hellfire. The Mystical Sign has cometh!

Prof Rahmstorf seems a bit confused about  what’s “noise” and what’s “signal”:

“It’s important to take this hot spike as a reminder that this is a really urgent problem” said Professor Rahmstorf, who until last week was also a visiting professorial fellow at the University of NSW. “We are running out of time to avoid a 2-degree world.”

Try and imagine him saying [...]

Desperation — who needs thermometers? Sherwood finds missing hot spot with homogenized “wind” data

Who’s desperate to find the missing hot-spot? Sherwood’s new paper claims to have found it, but after years of multi-layered adjustments, and now kriging the gaps, and iteratively homogenizing, the results of the new data partly “solve” one problem while creating others. There’s no documented, physical reason for the homogenizing and there’s no new insight gained. The raw data was used by airlines, the military, and meteorologists for years, yet the suggested new results are quite different to the raw data. It’s as if we can’t even measure air temperature properly. Somehow we’ve made multivariate complex models work but not simple temperature sensors? The main problem with the old results was that they didn’t fit the models. Now, after torturing the data, they still don’t. 

Twenty-eight million weather balloons had shown by 1999 that the key assumption in the climate models was wrong. Without feedbacks, the models only produce 1.2°C of warming with a doubling of CO2. With feedbacks the simulations ramp that up to a dangerous 3 – 4 degrees C, and water vapor was the most important feedback. It’s just no fun for the Global Worriers without it.

No hotspot = no water vapor feedback like [...]

UNSW climate scientists shift goal posts, publish irrelevant “extreme hot days” trend

The pause in global warming is so crippling, so crucial, that scientists will go to extremes to find any excuse to issue something that combines the magic terms “no pause” and “extreme temperatures”. This is the winning combination in climate bingo. But marvel how far these researchers have to stretch to get there.

Gaze upon  Seneviratne et al  (UNSW) declaring that there is no pause in the trend of “extreme hot temperature days”. Watch the pea (or rather peas).

Globally, on average, regions normally expect around 36.5 extremely hot days in a year. The observations showed that during the period from 1997-2012, regions that experienced 10, 30 or 50 extremely hot days above this average saw the greatest upward trends in extreme hot days over time and the area they impacted.

The consistently upward trend persisted right through the “hiatus” period from 1998-2012.

If the world was warming, they wouldn’t bother with this strained nonsense, would they? They are talking about 15 year trends in air over land, in summer, on the hottest 10% of days.

Seneviratne et al acknowledge the pause in global temperatures. Therefore the models, and the theory is wrong. Every other incidental trend in smaller markers [...]