A new report demonstrates that the data ECCC has been relying on may be hopelessly corrupted by fundamental mistakes that are responsible for almost all the supposed warming. Rather than being the poster child for global warming, Canada may actually be the latest example of why the public increasingly do not believe anything we are told by governments about climate change.
Scientists can certainly make errors when analysing data, but sometimes, instruments or other effects can lead to skewed data that is more difficult to detect. When it comes to climate change, such errors can have devastating consequences since severe climate change policies based on flawed studies not only affects businesses, but all citizens who are forced to pay for “climate action” and costly and unreliable alternative energy technologies.
On December 23rd, the report “Artificial stepwise increases in homogenized surface air temperature data invalidate published climate warming claims for Canada” was released by Dr. Joseph Hickey, a data scientist with a PhD in Physics (Complexity Science). The report was published by CORRELATION Research in the Public Interest, a registered not-for-profit corporation based in Ottawa, Canada, regarding what appears to be a significant error in Canada’s temperature data from Environment and Climate Change Canada (ECCC), a temperature artifact that does not represent actual warming. This artifact could “be responsible for essentially all of the calculated warming for many Canadian locations over the past six or seven decades.” The temperature dataset, the Adjusted and Homogenized Canadian Climate Data (AHCCD), was available to the public and is used for calculating long-term temperature trends in Canada as well as data for global temperature analyses.
Hickey writes that “surface air temperature records are affected by many biasing factors, related to changes to instrumentation, observation methods and procedures, and the environment surrounding the instruments.” This means that results published could be skewed to show warming, cooling, or varying trends when none exist. Using a wide variety of temperature monitoring stations, as well as comparing surface air temperatures records with other temperature records from satellites, for instance, will help minimize biased results.