Is Science Meant for Certainty? Discourse for 2025 Health Debates
Current political movements, such as RFK Jr.'s health reform initiatives and the Make America Healthy Again (MAHA) campaign, aim to eliminate chronic health conditions. But are they asking the right questions? Health reform is often framed around finding definitive solutions—curing diseases, eliminating risk factors, and prescribing universal health strategies. However, such approaches frequently overlook the complexity of human biology, neurodiversity, and environmental interactions. Science must move beyond seeking absolute certainty and instead focus on understanding conditional truths—those that depend on context, individual variability, and systemic balances.
Science is often seen as the pursuit of certainty—an accumulation of facts that bring us closer to an objective truth. But this perception is misleading. Science is not about absolute certainty; rather, it is about refining our understanding within structured uncertainties, continuously testing assumptions, and adapting to new evidence.
To ask meaningful scientific questions, we must consider the systems in which they operate. Are we investigating a linear or nonlinear system? Are we reducing a phenomenon into isolated variables, or are we acknowledging the complex interconnections that shape outcomes? Good science is not about labeling something as universally true or false but about understanding when, where, and for whom a particular model or explanation applies.
The Case of Dietary Fats: Context Over Certainty
One example of how science struggles with certainty is the shifting perspective on dietary fats. For decades, fats were demonized as harmful to health, contributing to heart disease and obesity. Yet, more recent research has revealed a more nuanced picture: different types of fats interact with the body in distinct ways, and their effects depend on a person's metabolism, genetics, stress levels, and overall diet.
The issue is not simply whether fats are "good" or "bad"—it is about the conditions under which they have different effects.
These variations occur because the body is a dynamic system, constantly balancing energy demands, stress responses, and nutrient availability. What is beneficial for one neurotype under certain conditions may be detrimental under others. The binary thinking of "good vs. bad" fails to capture the complexity of these interactions.
Science, Stress, and Contextual Balances
This brings us to a deeper realization: whether something is beneficial or harmful depends not just on the person, timing, and context, but also on the transactional relationship between internal systems and external environments. Stress plays a crucial role in determining how our bodies respond to fats, nutrients, and other environmental factors.
Science, therefore, should not aim to dictate absolute rules but to explore conditional truths—ones that recognize individual variability and the shifting dynamics of stress, adaptation, and energy balance.
Asking the Right Questions
Rather than asking, “Are fats bad for us?” we should ask:
Science should not be about rigid certainty but about refining our understanding of complex systems. The real question is not what is true but what is true under what circumstances, for whom, and why.
By shifting from a certainty-driven approach to a systems-based inquiry, we can move beyond simplistic "good vs. bad" narratives and toward a science that acknowledges the full spectrum of biological diversity and adaptability.
This is how we ensure that the questions we ask lead to meaningful, applicable, and evolutionarily informed answers.