We tend to describe the deterioration of news and research reporting along with political decision-making crises of polarization, misinformation, or declining trust. Those diagnoses are not wrong, but they are incomplete. Beneath them lies a deeper problem: the steady normalization of decision-based evidence making, enabled by a widespread collapse in critical thinking skills that were once explicitly taught and socially enforced.
All the reasons for the collapse of critical thinking have been written about ad nauseam. I shall not repeat them here.
My point here is that we have not entered an era without evidence. We have more now than we have ever had with new ways through AI to analyse it. But we have entered an era in which evidence is unmoored from method and its philosophical roots as we passively allow AI and social media to take over. We are sold the lie of their inevitability.
In journalism and research, this fundamental passivity shows up as a subtle but consequential shift. Reporting increasingly begins with a narrative frame—crisis, scandal, moral failure, betrayal—and then assembles facts, anecdotes, and expert quotes to support it. The discipline that once distinguished correlation from causation, trend from outlier, and hypothesis from conclusion has weakened. What remains is not fabrication, but curation: evidence selected to reinforce a story already chosen.
What makes it worse is that social media has taken over as a primary source of news and the result is the evening news presenting itself as a half hour video game in a vain effort to compete. Think I’m kidding? Watch NBC nightly news. CBC resists but they are slowly being pulled along as earned media competes with its social counterparts and continues to lose that battle. Evidence based storytelling also competes and loses. Infographics and infomercials converge.
All of this is not usually the result of malice. It is the product of incentives. News organizations and think tanks operate in environments that reward immediacy, emotional salience, and shareability. Nuance slows things down. Context and denominators (base rates) dilute outrage. Methodological caution doesn’t travel well on social media. So evidence is flattened. A study becomes a headline. A correlation becomes a warning. A preliminary finding becomes a verdict.
Political decision-making follows the same logic, only with higher stakes. Policies are announced first, justified later. Evidence is commissioned not to test assumptions but to validate them. When the data fail to cooperate, they are reframed, sidelined, or selectively quoted. Governments and their ecosystem of lobbyists and influencers still speak the language of evidence-based policy, but the evidence increasingly functions as a post-hoc rationalization rather than a constraint on action.
In a world where communications strategies trump policy development, no policy directions are ever wrong. They are only poorly communicated.
This dynamic is visible in Canada, but it is hardly unique to us. Across democracies, political preferences are increasingly driven not by competing interpretations of shared facts, but by competing frames that dictate which facts count at all. Evidence is no longer something that can surprise or unsettle decision-makers; it is something to be managed.
What makes this moment different from earlier periods of political spin is the erosion of epistemic literacy ( knowing how you know what you know) among audiences. Many citizens are no longer equipped to ask basic questions about the claims they encounter. What kind of evidence is this? What form of reasoning is being used? Does this establish causation, or merely association? Is this an anecdote illustrating a trend, or an exception being used to undermine one? Grifters and conspiracy theorists ascend as a result.
Without those distinctions, evidence becomes persuasive rather than probative. A graph convinces because it looks scientific. A personal story convinces because it feels authentic. A study convinces because it carries institutional authority. Rarely is the underlying reasoning interrogated.
This is why debates now so often collapse into accusations of bias rather than disagreements over interpretation. If one cannot assess evidence on its own terms, the only remaining move is to question motive. Suspicion replaces analysis. Identity replaces method. And the conversation slides from “Is this claim supported?” to “Who benefits from saying it?”
Journalism and research, under these conditions, becomes reactive rather than reflective. Political leaders respond to media cycles rather than evidence trajectories. Policy oscillates not because facts have changed, but because attention has. Meanwhile, public trust erodes—not because people are irrational, but because they sense, correctly, that evidence is being used instrumentally.
The tragedy here is that none of this is inevitable. Critical thinking is not innate; it is learned. So is the ability to distinguish inductive from deductive reasoning, statistical inference from causal explanation, analogy from proof. These were once core elements of education, professional training, and editorial culture. Their decline has left us with an abundance of information and a shortage of understanding.
When evidence loses its grammar, it no longer disciplines belief. It decorates it. And when that happens, journalism becomes storytelling with footnotes, politics becomes performance with charts, and citizens are left to choose between competing certainties rather than engage with shared uncertainty.
If there is a way back, it does not lie in more fact-checking, more data, or more expert panels. It lies in rebuilding the habits of thought that allow evidence to function as something more than a prop. Until then, we will continue to mistake volume for rigor, confidence for knowledge, and correlation for truth—while insisting, all the while, that we are following the evidence wherever it leads.