The hypothesis is testable.methodological phrase
Use when: distinguishing a scientific claim from a speculation or a value statement
The heart of scientific method is falsifiability: a claim is scientific if, in principle, evidence could show it to be wrong. Saying a hypothesis is "testable" signals that it makes a specific prediction about the world — one that experiments or observation can evaluate. A claim that cannot be tested belongs to a different category of inquiry.
"Before we debate this, we should check whether the hypothesis is testable — if there's no possible evidence that could refute it, we're not really doing science."
The evidence supports / does not support that claim.evaluative phrase
Use when: assessing whether data actually backs up an assertion
This phrasing keeps the focus on the relationship between a claim and the evidence for it, rather than on personal authority or intuition. "Supports" acknowledges degrees — evidence can support weakly, strongly, or not at all — and invites discussion of what kind and how much evidence would be sufficient.
"The evidence supports the general trend, but it doesn't support the specific causal claim being made — those are two different things."
That's a correlation, not a causation.analytical correction
Use when: pointing out that two things occurring together doesn't mean one causes the other
One of the most common errors in reasoning about data is assuming that a statistical relationship between two variables means one causes the other. Naming this distinction is a mark of scientific literacy and prevents a great deal of bad reasoning in public debate.
"Ice cream sales and drowning rates both rise in summer — that's a correlation, not a causation. The hidden variable is hot weather."
Science revises its conclusions — that's a feature, not a flaw.defensive framing
Use when: responding to someone who treats scientific revision as proof that science can't be trusted
The willingness to update conclusions in light of new evidence is the defining strength of the scientific method, not a weakness. When science changes its mind, it is doing exactly what it should. Framing this clearly helps counter the "they said X, now they say Y, so how can we trust them?" argument.
"The fact that the guidelines changed is actually reassuring — science revises its conclusions when better evidence arrives. That's a feature, not a flaw."
What does the peer-reviewed literature say?sourcing question
Use when: redirecting from anecdote or headlines to the actual body of vetted scientific research
Peer review is the process by which scientific claims are evaluated by independent experts before publication. It is not a perfect filter, but it is a meaningful one — far more reliable than news reports, social media posts, or individual testimonials. Asking about the peer-reviewed literature raises the evidentiary standard of the conversation.
"There are a lot of strong opinions out there, but what does the peer-reviewed literature actually say? That seems like a better starting point than either of our hunches."
That's an outlier study — the consensus is different.calibrating phrase
Use when: contextualizing a single finding against the broader body of research
A single study, even a well-designed one, rarely settles a scientific question. The scientific consensus reflects the weight of many independent studies over time. Cherry-picking one outlier study — especially one that contradicts the consensus — is a rhetorical tactic, not honest engagement with the evidence.
"I've seen that study cited a lot, but it's an outlier — the consensus across dozens of independent trials points in a different direction. One study doesn't overturn a field."
We should distinguish between uncertainty about details and uncertainty about the fundamentals.precision phrase
Use when: clarifying that genuine uncertainty in science is typically about specifics, not about well-established core findings
Scientists are often genuinely uncertain about mechanisms, quantities, timelines, and edge cases — while being very confident about the underlying phenomenon. Conflating these levels of uncertainty allows critics to use real scientific debate about details to cast doubt on robust core findings. This phrase draws that line clearly.
"There's real scientific debate about the rate and regional distribution of sea level rise — but we should distinguish that uncertainty about details from any uncertainty about the fundamental finding, which is solid."
The replication of a finding across independent studies is what builds confidence.methodological observation
Use when: explaining why some findings are more reliable than others
Any single study can be affected by bias, error, or chance. When independent research teams using different methods reach the same conclusion, confidence in that finding increases substantially. This is why replication is central to scientific knowledge — and why its absence is a legitimate reason for caution.
"The replication of a finding across independent studies in different countries is what builds confidence — if only one lab has ever found this effect, I'd want to see more before treating it as established."