The book Merchants of Doubt, by Naomi Oreskes, was made into a box office bomb (it crashed). But, darkly, it has an ongoing life in our schools. Tony Thomas uncovers the push to put propaganda in front of children, dressed up as education. The director of the film tells the world that his aim is to stop skeptics from being broadcast on TV. (Because that’s what you do when you can’t win a fair debate eh?)
This film was never about science, but about doing exactly what it claims to “expose”. (It’s projection all the way down.) The real merchants of doubt are those that seed doubts about honest whistleblower scientists, using character assassination, namecalling, tenuous associations, innuendo and allusion instead of scientific arguments. They don’t find a scientific fault in anything skeptics say, but resort to twenty year old false tobacco smears.
What we need are resources for teachers to help students critically analyze propaganda like this. How do children spot what isn’t said? What clues do we see in this movie that reveal its anti-science, political nature? Is it that they don’t let their skeptic targets talk about climate science at all? Readers suggestions are welcome. How do [...]
The danger is in the definition
Ken Stewart has been diligent at trying to understand the Bureau of Meteorology (BOM) method for finding heatwaves. He’d heard BOM head, Rob Vertessy speak on ABC radio, declaring that heatwaves were the “number one cause of death” from natural disaster in Australia. Ken wrote to Vertessy repeatedly but for some reason, despite the deadly risk to Australians, Vertessy was unable to answer the question of how to define and estimate heatwaves. (Perhaps if the BOM had The Internet, he could have sent Ken Stewart this link, which Stewart has now found himself four months later.)
The Excess Heat Factor: A Metric for Heatwave Intensity and Its Use in Classifying Heatwave Severity, John R. Nairn and Robert J. B. Fawcett (2015) 
With these instructions Ken has now replicated the BOM results for the 2014 heatwave in Melbourne. He has also used the same technique on Marble Bar, Western Australia, and Mawson, Antarctica and found that potentially heatwaves are a killer danger to our Antarctic researchers, and if heatwaves kill, they’d be much safer in Marble Bar. For the record, Marble Bar is the place that had 160 days in a row [...]
Humans can adapt to live in locations where the monthly average is over 40°C, and as low as -50°C. That’s a 90°C range. The world has warmed by 0.9°C in 100 years (or less, depending on adjustments). This warming was so dangerous that global population only expanded from 1.7 to 7 billion.
Now, if the IPCC are right, we might heat up by another half a degree by 2100 — shifting those extremes from -49°C up to 41°C.
Prof. Andy Pitman, one of Australia’s leading climate scientists, responds to this risk with all the usual careful analysis we’ve come to expect from mainstream climate experts. Here’s another “children won’t know what snow is” type of Global Panic quote:
“I expect by 2050 … people just don’t go outside,”
– Professor Andy Pitman, director of the ARC Centre of Excellence for Climate System Science at UNSW.
So that’s the end of golf, surfing, and picnics then. Somewhat confusingly, he also said (in the same interview) that we won’t necessarily notice that extra warmth: “… because humans acclimatise to heat quite quickly”. This is what 95% certainty looks like in 2015, ladies and gentlemen — abject panic and [...]
Joy. It’s another profoundly unscientific “consensus” study. At least one person thought that the 97% PR figure was not enough, and that magic 99.9% would sway the crowds. As if there was even one fence-sitter sitting, waiting, saying, “97% was too low…”
For the herding type of human, “consensus” is magnetically convincing. Not so for the independent minds who have seen prediction after prediction fail. If a 97% consensus on a highly complex, immature science is difficult to believe, a 99.99% one is comic. More of the same unconvincing stuff will do nothing except set off the BS meter. This new study will sway no one. The supernatural purity of it will work against “The Cause”.
A consensus is the one and only argument of the unskeptical, and they are doing it to death.
One fan, James Powell, was so enthused he spent nine months reading titles and abstracts of 24,000 papers, and found only four scientists (4!) who didn’t agree with the consensus. Some 69,402 other scientists apparently endorse “the consensus” (whatever it is) because they used the terms “climate change”, or “global warming” and they didn’t also make a clear statement that it was false, or [...]
There is some major messing with data going on.
What would you say if you knew that the official Perth thermometer was accurate at recording minimums for most of time in October in the eighties, but 0.7°C too warm all of December, and 1.2°C too cool in January? Bizarrely that same thermometer was back to being too warm in February! Try to imagine what situation could affect that thermometer, and require post hoc corrections of this “monthly” nature. Then imagine what could make that same pattern happen year after year. All those weather reports we listened to in Perth in 1984 were wrong (apparently). And this bizarre calendar of corrections is turning up all over Australia.
Bob Fernley-Jones has looked closely at all the adjustments done to achieve the wonderful homogenized ACORN data, as compared to the theoretically “raw” records listed in Climate Data Online (CDO) on the BOM website. He can’t know what the BOM did (since they won’t tell anyone), but he knows the outcome of their homogenization. He was shocked when he noticed a strange square-wave pattern repeating year after year; he was astonished that there were corrections calendar month by calendar month, up and down, switching [...]
Two out of three Australians live in our capital cities where the longest and best resourced temperature records would be found. These are the places where the weather reports matter to the most people on a daily basis — and where headlines about records and trends will be widely discussed. But these are also the sites which have been affected by the growth of concrete and skyscrapers, and potentially have the largest urban heat island (UHI) effect, so might need the largest adjustments.
Bob Fernley-Jones has been going through the BOM records for six of Australia’s state capitals, looking at the original raw data (at least, as is recorded in the BOM’s climate data online, called CDO). Bob compares the new “corrected” dataset called ACORN for these locations — that’s the all new marvelous adjusted data. He finds many step changes that can’t be explained by known site moves or the UHI effect. Many step changes occur in either minima or maxima, but not in both at the same time, which is also odd. As we already know, the adjustments usually cool the past — especially the minima (see all the blue lines on graphs below [...]
Let’s play the Heatwaves PR game. If CO2 had an effect we’d see a significant increase in the rate of global warming over the decades since WWII, the models would work, and climate scientists would be able to predict our climate. Since none of that is true, those with a political agenda have to clutch at noisy but marketable extremes instead. Apparently even a half-true, noisy, non-causal link is good enough for post-modern scientists.
Heatwaves are perfect for generating scientific sounding fear, but not so useful for generating actual scientific knowledge. There are an infinity of ways to measure them. They can last 3 days – 160 days, and be cut off at any number from 35 – 40C, or at some percentile outlier. They can be measured one town at a time, or on a regional or state-wide level. The permutations are rich with headline scoring possibilities. And in the end, on a long warming trend that started 300 years ago, it is obvious, inevitable, and predictable that we should score more now. What’s surprising is how often we don’t.
On ABC radio before Easter, Dr Vertessy, Director and CEO of the Bureau of Meteorology, claimed that we are seeing [...]
UPDATE: Data for Middle Percy Island has disappeared from the BOM site, but Jennifer Marohasy kept a copy. (I’m sure the BOM will be grateful!) The Courier Mail has an article quoting Jennifer.
The facts on Cyclone Marcia: the top sustained wind speed was 156 km and the strongest gust 208 km/hr. These were recorded on Middle Percy Island in the direct path before it hit land and apparently rapidly slowed. The minimum pressure recorded after landfall was 975Hpa. BOM and the media reported a “Cat-5″ cyclone with winds of 295 km/hr. To qualify as a Cat 5, windspeeds need be over 280km/hr. The UN GDACS alerts page estimated the cyclone as a Cat 3.
The damage toll so far is no deaths (the most important thing), but 1,500 houses were damaged and 100 families left homeless. It was a compact storm, meaning windspeeds drop away quickly with every kilometer from the eye, so the maps and locations of the storm and the instruments matter. See the maps below — the eye did pass over some met-sites, but made landfall on an unpopulated beach with no wind instruments. It slowed quickly thereafter. The 295 km/hr wind speed was [...]
When it comes to our rare high-quality historic records, and the real long term trends of Australian weather, the silence is striking. There are some excellent historical records of long term temperature data from the late 1800s in Australia, which lie underused and largely ignored by the BOM.
For the BOM, history almost appears to start in 1910, yet the modern type of Stevenson screen thermometer was installed across Australia starting as early as 1884 in Adelaide. Most stations in Queensland were converted as long ago as 1889 and in South Australia by 1892. Though states like NSW and Victoria were delayed until 1908.
Here’s a photo of the ones in Brisbane in 1890.
Brisbane was recording temperatures with modern Stevenson screens in 1890, as were some other stations, but the BOM often ignores these long records.
The BOM don’t often mention all their older temperature data. They argue that all the recordings then were not taken with standardized equipment. The BOM prefers to start long term graphs and trends from 1910 (except when they start in 1950 or 1970, or 1993).
The BOM was set up in 1908. Before that there were Stevenson screens going in [...]
Heatwaves are a wonderful headline generator. That’s because the term sounds scary, yet the “wave” itself is undefined. A hundred different types of heatwave are theoretically possible, but they all sound the same in a headline. It means an activist team could pick and choose the particular one that scores a “record”. Heatwaves can be 3, 4, 5, 7 or 10 days. They can be measured by town, city, state or national data and they are can be above 35, 37, 40 degrees or… pick a number. A heatwave can be measured as days above some percentile of average. That means a few warm days in a cold town can be defined as a heatwave.
Geoff Sherrington, drawing no dollars from the taxpayer, takes a simple and obvious approach, and looks at 5 capital cities with the BOM raw and adjusted ACORN data. He considered 4, 5, and 6 day heatwaves to see if there was a trend. With 5 cites, 2 data types, 3 lengths of heatwave, Sherrington created 30 graphs. After testing all those different combinations of heatwaves, there were only three graphs out of 30 that showed an increasing trend. Over half of the heatwave graphs showed [...]
18 contributors have published
1992 posts that generated