by Rhoda Wilson, Expose News:
On Monday, The Guardian published an article claiming that climate change is to blame for extreme weather – it is false and based on flawed “attribution studies” that lack rigorous peer review.
Attribution studies use climate models to simulate extreme weather events, but these models often reflect overheated worst-case scenarios rather than actual observations.
Empirical data does not support claims of worsening severe weather, with long-term trends for many extreme weather events remaining stable or declining, contradicting the narrative presented by The Guardian and other media outlets.
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The Guardian is Flat Wrong About Blaming Climate for Extreme Weather
By Anthony Watts as published by Climate Realism on 19 November 2024
On Monday 18 November, The Guardian published an “explainer” piece titled ‘How do we know that the climate crisis is to blame for extreme weather?’ This is false. Actual data on extreme weather does not support their claim, and the claim is mostly based on flawed “attribution studies.”
The narrative that severe weather events are worsening due to climate change has become a mainstay in today’s media. However, a closer look at the data and the science behind these claims often reveals inconsistencies that should give us pause. Attribution studies, which are widely used to link specific extreme weather events to climate change, frequently lack rigorous peer review and are published hastily to garner headlines, raising significant concerns about their reliability.
Attribution studies work by using climate models to simulate two different worlds: one influenced by human-caused climate change and another without it. These models then assess the likelihood of extreme weather events in each world. Yet the validity of such studies is only as good as the models and assumptions underpinning them. This methodology is prone to overestimating risks because climate models are often reflecting overheated worst-case scenarios rather than actual observations.
Moreover, these studies are often published without proper peer review. Climate Realism has documented how media outlets run stories based on these model-driven studies, ignoring real-world data that often contradicts the alarming conclusions. For example, articles frequently cite reports that heatwaves, floods, or hurricanes are “worsening” without disclosing that these claims rely on theoretical simulations rather than measured evidence.
Empirical data does not support claims of worsening severe weather. In fact, the long-term trends for many extreme weather events have remained stable or even declined. According to Climate at a Glance, heatwaves in the United States were most severe in the 1930s, with temperatures and frequency outstripping recent records. The number of strong hurricanes making landfall in the United States has not increased either. The country even experienced a record 12-year lull in major hurricanes between 2005 and 2017.
Additionally, droughts have not intensified in the US. The nation saw historically low levels of drought in recent years, with 2017 and 2019 setting records for the smallest percentage of the country affected by drought. These data points highlight a crucial disconnect between what is reported and what is actually happening.
Mass media plays a big role in how the public perceives climate and weather. Unfortunately, they have a well-documented tendency to sensationalise weather events and uncritically promote alarming narratives. An example from Climate Realism shows how news outlets linked severe flooding in Dubai to climate change, based entirely on speculative attribution claims. This type of reporting not only skews public understanding but also undermines scientific credibility.
Journalists often rush to blame every unusual weather pattern on climate change, frequently citing studies that rely more on models than actual historical weather data. In doing so, they skip the due diligence required to present a balanced view. They rarely report when data contradicts the narrative of intensifying extreme weather, which fosters an atmosphere of unnecessary panic and misinformation.
The media’s role in perpetuating climate alarmism cannot be overstated. By favouring sensational headlines over fact-checked reporting, they fail to uphold their responsibility to inform the public accurately. Instead of scrutinising the limitations and assumptions of attribution studies, the media often present speculative findings as settled science. This lack of due diligence not only misguides policy discussions but also erodes trust in legitimate climate research. In the case of The Guardian, Climate Realism has documented dozens of instances of such fact-free sensationalism.
In an era where facts should guide action, it is crucial for journalists and media outlets to prioritise accuracy and depth over sensationalism. Only then can we have a rational, data-driven conversation about climate and extreme weather – one that recognises uncertainties and avoids the pitfalls of media fear-mongering over unsupportable climate claims.
