Scientists have a long-standing, and probably well-deserved, reputation as a jargon-prone bunch—and I am no exception (see my post on vapor pressure deficit, for one). Despite this reputation we actually use jargon to avoid confusion and be as precise as possible, ensuring our ideas are clearly understood. This seems straightforward enough for phrases like vapor pressure deficit, which needs to be distinguished from concepts like, for instance, relative humidity. But, scientists have also assigned specific meanings to otherwise ordinary words and phrases, that take on additional nuance and meaning when used in a scientific context.
Take the word risk. Engineers might use it to mean the likelihood of a bridge collapsing. Economists might use it to mean a potential financial loss. An environmental scientist might use it to signal possible harm to a species of fish or vulnerable habitat. And in casual conversation, risk can mean a general concern or danger. Without specifying the context, the statement ‘The risks of addressing climate change are too large’ could justify almost any decision from reinforcing a bridge to withstand extreme heat to ignoring greenhouse gas emissions because of the financial losses that the fossil fuel industry would incur.
In the case of the incoming administration, malicious actors use and create this confusion to exploit scientific illiteracy, justify inaction, and cultivate chaos, all of which cause harm to our communities, health and environment. This can take many forms: spreading disinformation, overemphasizing uncertainty, weaponizing ambiguity and nuance, or claiming that existing science is insufficient or incomplete, leading to harmful policies that distort science while maintaining a veneer of credibility. science while maintaining a veneer of credibility.
In its first iteration, the Trump administration launched a coordinated assault on science and scientific integrity, and so far, all signs point to more of the same the second time around. To counter this, it’s critical to recognize and interrogate the language that will shape public discourse in the next administration. Here are three critical concepts that everyone who recognizes the essential value of science should know—and be prepared to defend against bad-faith attacks.
What is “Best Available Science?”
Best available science is the most reliable, valid, up-to-date, and relevant, empirical knowledge, and is referenced in laws, regulations, and court rulings, from the criteria for listing new species and developing recovery plans as part of the Endangered Species Act to the regulatory structure used in decision-making by the Food & Drug Administration for approvals and labels. Science is dynamic and constantly evolving, meaning that the best available science builds on this on-going cycle of scientific inquiry as well as data and evidence from a range of sources. Inherently, best available science also relies on peer review, and draws on experts across disciplines.
In the decision-making process of many government agencies, expert panels and advisory committees serve this critical function of analyzing existing evidence. These panels are composed of experienced researchers who are in the know about cutting edge research, the strengths and limitations of methodologies, and the latest debates on specific details. In the first Trump administration, we saw these panels and committees disbanded or downsized at the Environmental Protection Agency, Department of Energy, and Department of Health and Human Services, among others. Last year’s Supreme Court decision overturning the Chevron doctrine further endangered the use of best available science in decision making by shifting power from experts within governmental agencies to the judiciary.
Further, best available science also uses specific language (and, in some cases, jargon) to accurately describe scientific findings, like using specific forest type designations when calculating wildfire emissions or describing the consequences of rule changes on different orders of waterways. The first Trump administration, in some cases, blocked scientists’ ability to do this by, for instance, removing a term such as “climate change” from certain government communications.
Outside the US, the International Tribunal for the Law of the Sea reaffirmed the importance of using the best available science in their unanimous advisory opinion outlining countries’ obligations to prevent, reduce, and control pollution in the marine environment, highlighting the importance of scientists engaging across all facets of decision-making.
Scientific Consensus Explained
The term “scientific consensus” refers to concepts that have broad agreement among scientists, based on multiple lines of evidence and extensive peer-reviewed research. Examples of where there is scientific consensus include: evolution as the driver of life on earth, the Big Bang as the origin of the universe; and that human activity, particularly the burning of fossil fuels, is the primary driver of climate change. This does not signal absolute proof, unanimous agreement, or the end of the scientific process, but consensus does provide a foundation from which scientists can continue to build knowledge to better protect our health, environment and communities.
In the case of climate change, scientific consensus has led to countless new research questions about how we can adapt to protect our communities from rising seas, intensifying wildfires, and extreme heat. It has also painted a clear picture of how to mitigate future climate change and protect those who are most vulnerable—a fair and fast phase out of fossil fuels.
The Role of Uncertainty in Building Trustworthy Science
Quantifying and communicating uncertainty is a key part of any scientific endeavor, and one that scientists go to great lengths to understand and explain. The Intergovernmental Panel on Climate Change, widely regarded as the world’s leading body on climate science, has developed an entire system for describing scientific uncertainty and confidence in key findings throughout their reports.
As I wrote in a blog last year: “Conversationally, uncertainty means something you don’t know — like I’m uncertain what I’m going to have for lunch. But scientifically, uncertainty means how well we know something— more like a confidence range and usually visualized with confidence intervals or error bars depending on the data (I’m 90-95% confident that I’ll be having beans for lunch).”
When reading a scientific study, the absence of confidence ranges, explanations of methodologies, or other descriptions of how the researchers dealt with uncertainty is a major red flag. While those outside the scientific community might assume that the absence of uncertainty signals unwavering confidence in a finding, to other scientists it signals that the conclusions deserve particularly focused scrutiny.
In the first Trump administration, we saw the Department of Interior overemphasize uncertainty around climate change in several of its reports, in direct opposition to the scientific consensus.
Defending Science and Scientific Integrity
As the second Trump administration looms, protecting rigorous research and scientific integrity is more critical than ever. When key scientific principles like transparency, accountability and continuous inquiry are compromised, as they were during Trump’s first term, the consequences ripple far beyond the scientific community, affecting public health, environmental sustainability, and the resilience of democratic institutions. The deliberate manipulation of scientific findings, whether by suppressing inconvenient truths, overemphasizing uncertainty, or distorting conclusions to fit a narrative, means that the best available science is absent from decision making.
This erosion of public trust in science creates fertile ground for disinformation campaigns, stalls progress on urgent issues, and prioritizes political or economic agendas over the public good. During the first Trump administration, we saw these tactics in action, from the removal of climate change terminology from government reports to the systematic dismantling of advisory panels critical to applying the best available science to policy decisions.
Defending science is not just the responsibility of scientists—it requires collective action by policymakers, educators, advocates, and the public. Together, we can ensure that science continues to serve the public good, guiding decision makers in a defensible and robust way toward a healthy, safe, and just future.
L. Delta Merner, Lead Scientist for the Science Hub for Climate Litigation, contributed to this post.