Why Scientists Should Talk Like Humans — And How We’re Failing
Subtitle
The Scientific Journal for Everyone – When scientists speak human, people listen.
Summary
Scientists generate knowledge that can save lives, guide policy, and shape the future. But all too often, the language they use blocks the very people it’s meant to serve.
Dense jargon, passive phrasing, inaccessible writing, and complex statistical language create a wall between science and society. While the stakes—from climate change to public health to AI—have never been higher, scientists are struggling to connect with the wider public.
This article explores why scientific communication has become so alienating, what happens when it fails, and how researchers, institutions, and communicators can rebuild trust—by learning to speak human.
Why It Matters
Science doesn’t exist in a vacuum. If the public can’t understand what researchers are saying—or why it matters—then:
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Misinformation thrives
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Public trust declines
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Policy is shaped by politics, not evidence
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Life-saving knowledge gets ignored
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Young people turn away from science as a career
This isn’t just a communication problem. It’s a democratic, ethical, and practical problem.
And it goes both ways: when people feel scientists are talking down to them, using elitist language, or dodging clarity, they stop listening. Which means when real crises hit—like pandemics or climate disasters—science has to shout louder just to be heard.
What the Research Says
1. Jargon reduces trust and recall
Numerous studies show that when scientific texts include technical language without explanation, readers:
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Are less likely to believe the information
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Find the author less credible
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Retain less of what they read
(Shulman et al., 2020; Science Communication Journal)
In short: big words create distance.
2. Passive voice dilutes accountability
Phrases like “it was found that” or “this study suggests” leave readers unclear about:
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Who is doing the work
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How confident the authors are
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What action is being recommended
Active voice (“we found that X increases Y”) builds clarity, ownership, and trust.
3. Science literacy ≠ scientific understanding
Even people with good education struggle to interpret risk, probability, and uncertainty—especially when it’s not explained in plain terms.
(Meyer et al., 2021; Nature Human Behaviour)
Talking to the public as if they’re all experts is a setup for confusion and disengagement.
What’s Behind It
1. Training that prioritizes complexity
Most scientists are taught to write for peer review, not public understanding. That means:
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Prioritizing precision over clarity
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Rewarding technical density
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Avoiding personal voice or emotion
This leads to papers that are perfect for journals—and almost unreadable to the public.
2. Fear of oversimplification
Researchers worry that simplifying findings will:
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Misrepresent nuance
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Undermine scientific credibility
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Open the door to misinterpretation
But too much caveating can do just as much damage—it can make findings seem vague, untrustworthy, or irrelevant.
3. Incentive structures that don’t reward outreach
Academic careers are built on:
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Citations
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Grants
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Conference presentations
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Peer-reviewed publications
Talking to journalists, writing op-eds, or making YouTube videos? Often ignored—or penalized.
What’s Changing
1. Growing demand for public-facing science
From COVID-19 to climate change to AI, society is demanding clarity.
And many scientists are responding—with newsletters, podcasts, social media, and more.
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Researchers like Adam Tooze (Substack), Katharine Hayhoe (Twitter), and Emily Oster (data briefs) are building followings by explaining research in accessible, engaging ways.
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University departments are hiring science communication officers or running public engagement fellowships.
This is a culture shift in motion—but unevenly supported.
2. Science communication is becoming a discipline
There’s now real research on how to communicate science effectively, especially in polarized environments. For example:
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Use narratives and storytelling to make facts stick
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Anchor abstract ideas in lived experiences
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Build two-way dialogue, not top-down messaging
(Scheufele & Krause, 2019; American Association for the Advancement of Science)
3. Pushback against elitism in academia
Movements like “#RewriteThePaper” and “#BlackInTheIvory” are challenging the idea that being hard to understand makes work more legitimate.
Being inclusive means being understandable.
Big Picture
In a world of rising disinformation, climate anxiety, and political polarization, the stakes for good science communication couldn’t be higher.
Scientists don’t need to “dumb down” their work.
They need to translate it.
Because if the public can’t understand the science, they can’t act on it.
And if they can’t act on it, then research loses its power to change the world.
Conclusions
1. Complex doesn’t mean unclear
You can talk about complexity without being incomprehensible. Clarity is not the enemy of rigor.
2. Trust comes from connection
People trust people—especially those who speak with honesty, clarity, and care.
3. We need new training, not just new platforms
Every PhD program should teach writing, storytelling, and communication alongside methods and theory.
4. Incentives must change
Funders, universities, and journals must reward—not punish—scientists who engage with the public.
5. Speaking human is speaking hope
In a world overwhelmed by problems, science must feel not just smart, but human, useful, and possible.
The Deeper Lesson
The job of the scientist isn’t just to discover.
It’s to make discovery matter.
And that means learning to speak, write, and share in ways that connect—not just impress.
Because when scientists speak human, people listen.
And when people listen, change becomes possible.
Sources
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Shulman et al. (2020). The Impact of Jargon on Scientific Credibility. Science Communication.
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Meyer et al. (2021). Risk Literacy and Public Understanding of Uncertainty. Nature Human Behaviour.
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Scheufele & Krause (2019). Science Communication as Political Communication. PNAS.
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AAAS (2024). The State of Science Communication Report.
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#RewriteThePaper Movement (2023). www.rewritethepaper.org
Q&A Section
Is simplifying research the same as “dumbing it down”?
No. Good simplification clarifies core ideas while preserving nuance. It’s about translation, not dilution.
Why don’t scientists just say what they mean?
They often write for other scientists—due to training, pressure, and reward systems.
Can social media help?
Yes—when used well. It can amplify science, correct misinformation, and humanize researchers.
What can institutions do?
Reward public engagement in tenure and grant decisions. Provide training and support. And model clear, honest science themselves.
Where can I learn more?
Start with the Alan Alda Center for Communicating Science, or check out science writers like Ed Yong, Angela Saini, and Maryn McKenna.
