In this article
Certainty is a calibration, not a default
In academic English, how confident you sound is not a style choice — it is a claim about your evidence. Say too much and a reviewer will catch you overclaiming; say too little and your finding disappears into vague qualifiers. The tool that lets you tune this is called hedging: cautious language like may, suggests, and likely that matches the strength of your statement to the strength of your support.
Hedging is not weak or evasive writing. Research on academic discourse, including Ken Hyland's foundational work, found hedges to be among the most frequent features of published research articles, because calibrated caution is how scholars show intellectual honesty. This guide gives you the toolbox, the opposite problem, and the calibration that non-native writers most need.
Why caution is the norm
A research claim has to be defensible. If your data show a trend in one sample, "this proves X" invites a reviewer to point at everything your study did not cover. "These results suggest X" claims exactly what you can support — no more, no less. Hedging is how you make a claim that survives scrutiny.
The hedging toolbox
Hedges come in a few device families. The examples below are drawn from the Manchester Academic Phrasebank and the George Mason Writing Center.
| Device family | Examples |
|---|---|
| Modal verbs | may, might, could, would — "This could be attributed to..." |
| Reporting verbs | suggest, indicate, appear, seem, tend to — "The findings suggest that..." |
| Probability adverbs | possibly, probably, perhaps, likely — "The number will probably increase." |
| Frequency adverbs | generally, often, usually — "Acceptance rates are generally high." |
| Quantifiers | some, many, most, one of — "X is one of the causes of..." |
| Distancing frames | "There is some evidence to suggest that..." / "A possible explanation is that..." |
The opposite problem: boosters and overclaiming
Hedges have an opposite: boosters — clearly, obviously, certainly, prove. They are less common in academic writing for a reason: they raise the bar your evidence has to clear. "This clearly shows social media causes anxiety" promises a causal proof a single study rarely delivers. Reserve boosters for the few points you are genuinely committed to.
When certainty IS appropriate
The flip side is just as important: do not hedge everything. Established facts, definitions, your own clearly demonstrated results, and your methods should be stated plainly. "Water might boil at 100 degrees at sea level" reads as a competence error. If you ran the experiment and found a significant effect, say so: "Our intervention produced a measurable effect."
The calibration guide
Match the strength of your language to the strength of your evidence:
| Your evidence | Language to use |
|---|---|
| Definition, established consensus | Assert: is, shows, demonstrates (no hedge) |
| Strong, replicated finding | Confident: indicates, shows that |
| Your own single-study result | Moderate: suggests, our results indicate |
| Trend, partial evidence | Tentative: may, appears to, tends to |
| Speculation beyond the data | Flagged: it is possible that, future work is needed |
The two failure modes
Overclaiming → hedged:
"Children living in poverty do poorly in school." → "Children living in poverty tend to do poorly in school."
"Our results prove the intervention works." → "Our results suggest the intervention is effective in this population."
Overhedged → confident:
"It could perhaps possibly be argued that the data might seem to suggest a potential relationship." → "The data suggest a relationship between X and Y."
Why this is harder for non-native writers
The right amount of caution is not universal — it is set by the conventions of each language. Studies comparing academic writing across languages find that English-language scholarship tends to hedge more than some other traditions, which lean toward a more direct, authoritative stance. So if you transfer your first language's calibration into English, you will likely either overclaim or overhedge without realizing it. Learning English's setting is one of the highest-leverage academic-writing skills you can build.
A revision pass for caution (and how Diglot helps)
Once your draft exists, make one pass just for calibration. Read each claim and ask: does my language match my evidence? Soften the overclaims; firm up the overhedged sentences where you actually have the data. Then check that you used one hedge per claim, not a stack.
- Recalibrate sentences in place. The paraphrasing tool turns an overclaimed line into a hedged one, or trims a stack of hedges down to one.
- Check the modal and tentative language. The grammar checker catches the small errors that creep into hedging frames.
- Use it as a caution pass. The AI writing assistant can flag where your claims outrun your evidence. Pair this with the moves in how to write a research paper abstract, where calibration is most visible.
Hedging is not about sounding unsure. It is about sounding exactly as sure as your evidence allows — which, in academic writing, is what credibility is made of. Calibrate the claim, use one hedge, and let the certainty you have earned come through.
Share
