Monday, 3 November 2025

Evaluating Climate Change Evidence Like a Scientist

 

(Part 2 in the “Think Like a Scientist” Series)

๐Ÿ” Looking Back

Last time, we explored how to evaluate scientific evidence - asking questions about reliability, accuracy, validity, and bias.
The steps in this post follow that same way of thinking: questioning, testing, weighing evidence, and drawing reasoned conclusions.

 

๐ŸŒ The Big Question

Now we’re going to apply those skills to one of the biggest scientific debates of our time:

“Is human activity really responsible for climate change?”

Some people say it isn’t. Others argue the evidence overwhelmingly shows that it is.
In science, we don’t choose sides - we test ideas against evidence.

 

๐Ÿง  Before We Begin

Climate change is an enormous and complex topic - entire university degrees are devoted to it - so this post can’t cover everything.
Instead, it focuses on the question from a GCSE Science point of view:

  • what you need to know to evaluate evidence,
  • how to recognise reliable data, and
  • how to think like a scientist when faced with a big, controversial question.

Think of it as a chance to practise exam-style skills while seeing how those same principles work in real science.

 

๐Ÿ’ก A Quick Note

This post is designed to stretch your thinking.
Don’t worry if you can’t follow every detail on your first read - focus on how scientists think, not just what they know.
(There’s a Student Summary Sheet at the end to help you review the key ideas.)

 


๐Ÿ” Step 1: If human activity isn’t responsible for climate change, what is?

Before scientists accept any conclusion, they ask what other causes could explain the data.
Here are some of the main natural or alternative explanations often discussed - including one that came from a recent statistical paper in Norway.

Evidence or Claim

What It Suggests

How Scientists Evaluate It

Natural cycles (Milankovitch cycles)

Earth’s climate has changed before without humans.

True - but those cycles happen over tens of thousands of years, not decades. The current rate of warming is far faster.

Volcanic activity

Volcanoes release CO₂, so they could cause warming.

Volcanoes emit less than 1 % of annual CO₂ compared with humans. Major eruptions often cause cooling because of dust and sulphur aerosols.

Human CO₂ is only 3–5 % of total CO₂

Natural sources produce far more CO₂, so human output seems too small to matter.

True for gross (total) emissions, but natural CO₂ is mostly re-absorbed each year. Human emissions are an extra, unbalanced addition, causing the steady rise seen in the atmosphere.

Solar output changes

Maybe the Sun has become stronger.

Satellite data show solar output has slightly decreased since the 1970s while global temperatures rose sharply.

Urban heat effect

Cities are warmer, so global data might be biased.

Scientists correct for this by using rural stations, ocean buoys, and satellites. The overall warming trend remains.

Short-term variation (El Niรฑo / La Niรฑa)

Natural patterns might explain temperature swings.

They create short-term ups and downs, but the long-term global trend keeps rising.

Statistical study (Dagsvik & Moen, 2023)

A discussion paper from Statistics Norway argued that man-made CO₂ might not strongly affect temperature.

Not peer-reviewed; based on statistical correlation, not physical modelling*. The authors note their results don’t disprove human influence, and Statistics Norway clarified it isn’t their institutional view.


* What does that mean?  

Statistical correlation, not physical modelling
A statistical correlation looks for patterns in data - for example, when CO₂ levels go up, do temperatures also go up? But it doesn’t explain why.

Physical models, on the other hand, use real-world science, such as how greenhouse gases absorb infrared radiation - to show how temperature changes happen.

Scientists prefer physical models because they are based on tested laws of physics, not just numbers that seem to move together. In other words, statistical models show patterns (correlations); physical models test mechanisms (causation). Scientists use both: statistics to spot links, physics to check they make sense.

 

Scientists test each of these ideas carefully, looking for patterns that fit all the data.
Sometimes alternative explanations work for part of the evidence - but not for everything.
When the natural factors don’t match the scale or speed of current warming, scientists look for another explanation that does.



๐ŸŒก️ Step 2: Following the Evidence

Now let’s see what the wider body of evidence shows.

Type of Evidence

What It Shows

Evaluation

CO₂ data (Mauna Loa Observatory)

Atmospheric CO₂ rose from ≈ 315 ppm* (1958) to > 420 ppm today.

Reliable long-term dataset verified by multiple labs.

Carbon isotopes* (¹²C / ¹³C)

The extra CO₂ has a fossil-fuel chemical signature.

Valid link confirming human source.

Temperature records

Global temperature + 1.2 °C since 1880; most rapid rise after 1950.

Highly consistent across NASA*, NOAA, Met Office and JMA.

Climate models

Only reproduce observed warming when human emissions are included.

Peer-reviewed, tested, and validated over decades.

Scientific consensus

≈ 97 % of publishing climate scientists agree humans drive recent warming (source NASA).

Based on thousands of independent, peer-reviewed studies.

 

* What does that mean?

ppm (parts per million)

ppm stands for parts per million. It’s a way of measuring very small amounts of gas in the air.

For example, when scientists say atmospheric CO₂ is about 420 ppm, it means that out of every one million air molecules, about 420 are carbon dioxide molecules.

That might sound tiny, but those few hundred molecules trap enough heat to make a big difference to Earth’s climate.


Fossil fuel chemical signature (¹³C and ¹⁴C) - How can scientists tell CO₂ comes from fossil fuels?

First, what’s an isotope?
An isotope is a form of the same element that has the same number of protons but a different number of neutrons in its nucleus, and therefore different masses.

For carbon, the main isotopes are ¹²C, ¹³C, and ¹⁴C. They all behave like carbon, but they have slightly different masses:
¹²C – the lightest and most common
¹³C – a bit heavier and rarer
¹⁴C – radioactive and unstable; it decays over thousands of years

¹⁴C is made naturally in the upper atmosphere when cosmic rays hit nitrogen atoms. Living things constantly take in ¹⁴C while alive, keeping their ratio of ¹⁴C to ¹²C roughly constant. When they die, the ¹⁴C slowly decays away.

Living plants prefer to absorb ¹²C during photosynthesis, so they contain less ¹³C. Fossil fuels are made from ancient plants, which means they’re also rich in ¹²C and have no ¹⁴C left (it has long since decayed).

When scientists measure today’s atmosphere, they find that the extra CO₂ being added contains less ¹³C and almost no ¹⁴C - exactly the pattern expected if the carbon is coming from burning fossil fuels, not volcanoes or oceans.

  •  Deep inside Earth, some carbon is stored in rocks. When volcanoes erupt, they release CO₂ along with ash and gases.
  • The ocean both absorbs and releases CO₂. When water warms, some CO₂ escapes into the air; when it cools, it takes CO₂ back in. This acts like a natural “breathing” system that keeps carbon levels steady.

 

Who are NASA, NOAA, Met Office and JMA?
These are major scientific organisations that collect and analyse global climate data:
NASA – National Aeronautics and Space Administration (USA)
NOAA – National Oceanic and Atmospheric Administration (USA)
Met Office – The UK’s national weather and climate service
JMA – Japan Meteorological Agency

Each organisation runs its own climate monitoring systems, but all four produce very similar results, which makes their findings more reliable.




๐Ÿง  Step 3: What the Evidence Shows Overall

A good scientist doesn’t ignore alternatives - they test them.

It’s also important to remember that correlation doesn’t always mean causation.
Just because global temperatures and CO₂ levels rise together doesn’t automatically prove one causes the other - scientists test this by comparing data from different time periods, natural events, and climate models.
When those tests consistently show that temperatures only rise when human CO₂ emissions increase, the evidence for causation becomes much stronger.

When natural causes (Sun, volcanoes, cycles) are included in models, they can’t fully reproduce the rapid warming observed since 1950.
When human greenhouse-gas emissions are added, the models fit the observations much more closely.

When all the evidence is considered together, the pattern seems to point towards human influence as the main driver of recent change.
However, scientists continue to test new data and models to check whether other factors might still play a role - that’s how scientific understanding develops.

The combination of CO₂ records, isotope data, and temperature measurements currently provides the most consistent explanation: that extra carbon in the atmosphere is mainly from burning fossil fuels, which increases heat trapped by the Earth.

In science, no single answer is ever final - the best explanation is simply the one that fits all the available evidence so far.

Ask yourself:
• Which evidence is most direct or reliable?
• Which explanations fail or succeed when tested?
• How could new data change our confidence in current conclusions?

Scientific confidence grows when multiple lines of evidence point the same way - but scientists keep testing to see if that picture still holds.

That’s why consensus matters: it shows where the evidence currently leads, not where the discussion ends.



⚖️ Step 4: Bias and Transparency in Science

When scientists publish research, they must declare who funded it and any possible conflicts of interest.
This doesn’t automatically mean their results are biased, but it allows others to judge independence and repeat the work.

Different groups may have different motivations - energy companies, governments, or environmental organisations.
What matters is whether the methods and data are open for checking.

The same rule should apply to anyone making public claims about climate change - journalists, influencers, or politicians.
Being open about funding and methods helps build trust; hiding it damages credibility.

Tip:
When evaluating a claim, ask:

  • Who funded or benefits from this statement?
  • Has it been peer-reviewed or reproduced by independent teams?
  • Would the conclusion hold if another group repeated the study?

Transparency is a key part of good science - it keeps research honest and self-correcting.



๐Ÿงพ Step 5: Model GCSE-Style Question & Answer

Question:
Evaluate the claim that human activity is not responsible for climate change. (6 marks)

 

๐Ÿ’ก Exam Tip:

In “evaluate” questions, always:
1️
Present evidence for and against,
2️Comment on the quality or reliability of that evidence, and
3️Finish with a clear, balanced judgement backed by data.

 

Indicative Content

Arguments suggesting human activity is not responsible:

  • The climate has changed naturally before (e.g. ice ages, Milankovitch cycles).
  • Solar output, volcanic activity, and ocean patterns can affect temperature.
  • Some studies (e.g. Dagsvik & Moen, 2023) question the strength of the link between CO₂ and temperature rise.
  • Human CO₂ emissions make up only about 3–5 % of total annual CO₂ - some interpret this as too small to cause major change.

Arguments suggesting human activity is responsible:

  • Global CO₂ concentrations have increased from ≈ 315 ppm (1958) to > 420 ppm today.
  • Carbon-isotope evidence (¹³C / ¹⁴C ratios) shows the extra CO₂ comes from fossil fuels.
  • Climate models only reproduce observed warming when human emissions are included.
  • Satellite, ocean and surface data from NASA, NOAA, Met Office and JMA all show the same long-term warming pattern.
  • The scientific consensus (≈ 97 %) supports human-driven warming, based on many peer-reviewed studies.

 

๐ŸŽฏ Mark Scheme (AO3 Evaluate)

Level

Marks

Descriptor

Level 1

1–2 marks

Makes simple statements about climate change; may mention human or natural causes but with little or no evaluation. Little use of evidence or scientific terminology.

Level 2

3–4 marks

Gives arguments both for and against with some supporting evidence. Begins to weigh up reliability or validity of data (e.g. mentions that one explanation doesn’t fit all observations). Some use of key terms such as CO₂ or temperature trend.

Level 3

5–6 marks

Evaluates both sides clearly using several pieces of accurate evidence. Judges which explanation is best supported by reliable data and justifies reasoning with reference to scientific principles (e.g. isotopes, models, consensus). Communicates ideas logically and precisely.

 


 

๐Ÿ”ฌ Step 6: Reflection

Science isn’t about proving someone right or wrong - it’s about finding the explanation that best fits the evidence available right now.
That means staying open to new data, questioning methods, and being honest about uncertainty.

When scientists disagree, it isn’t a weakness - it’s part of how science improves. Every new experiment, dataset, or model helps refine our understanding.

For students, that’s the same mindset you’re practising in your exams.
When you evaluate evidence in a 6-mark question, you’re not just revising facts - you’re learning how to think scientifically: to weigh data, recognise bias, and build conclusions that make sense.

So whether it’s a climate question or a classroom practical, remember that science isn’t only about what we know.
It’s about how we think - the careful, curious, questioning way that moves knowledge forward.

“Science is a way of thinking much more than it is a body of knowledge.”
- Carl Sagan

Stay tuned: next time, I’ll be exploring how teachers and tutors can teach evaluation effectively - the challenges, scaffolds, and strategies that help students think like scientists, whether lessons are online or in person.

 



๐Ÿงฉ Student Summary Sheet – Think Like a Scientist: Evaluating Climate Change Evidence

 

๐Ÿง  Key Takeaways

  • Science is about testing explanations, not defending opinions.
  • Always look at both sides: natural causes and human causes.
  • Reliable evidence is:
    • Repeated and measured accurately,
    • Reviewed by other scientists,
    • Free from bias (not all funded or promoted by one group’s agenda).
  • The best explanation is the one that fits all the data.

๐ŸŒ What the Evidence Shows

Type of Evidence

What It Shows

Why It’s Reliable

Natural factors

Volcanic eruptions, solar cycles, and ocean patterns affect climate.

True - but these changes are too small or too slow to explain modern warming.

CO₂ measurements

Levels rose from 315 ppm in 1958 to 420 ppm today.

Continuous, precise global data.

Isotopes (¹³C and ¹⁴C)

The carbon in the air matches that from fossil fuels.

Clear chemical “fingerprint.”

Models and data

Climate models match observations only when human emissions are included.

Tested and peer-reviewed.

Consensus

Around 97 % of scientists agree humans are the main cause.

Based on decades of independent research.


⚖️ How to Answer a 6-Mark “Evaluate” Question

Question example: Evaluate the claim that human activity is not responsible for climate change.

  1. State both sides: mention natural and human causes.
  2. Use evidence: quote data, examples, or model results.
  3. Comment on reliability: how good or trustworthy is the evidence?
  4. Make a judgement: which side fits all the data and why.

Sentence starters:

  • “Some evidence suggests that…”
  • “However, this may not fully explain…”
  • “The most reliable evidence shows that…”
  • “Overall, the explanation that fits best is…”

๐Ÿ’ฌ Remember

  • Evaluation means weighing evidence, not guessing or choosing sides.
  • Good scientists - and good students - keep questioning, test every idea fairly, and stay open to new evidence.

 



๐Ÿ“š Sources and Further Reading

 

These sources represent a mix of primary scientific data (NASA, NOAA, IPCC), peer-reviewed studies, and example discussion papers.
If you use information like this in your own work, always:

  • Check whether it’s peer-reviewed,
  • Note who funded or published it, and
  • Use more than one source when evaluating a claim.

 

๐ŸŒ General Climate Data and Evidence

  • NASA Goddard Institute for Space Studies (2024). Global Temperature Data. Available at: https://data.giss.nasa.gov/gistemp/
  • National Oceanic and Atmospheric Administration (NOAA) (2024). Climate at a Glance: Global Time Series. Available at: https://www.ncdc.noaa.gov/cag/
  • Met Office (UK) (2024). State of the UK Climate. Available at: https://www.metoffice.gov.uk/research/climate
  • Japan Meteorological Agency (JMA) (2024). Global Temperature Anomalies. Available at: https://ds.data.jma.go.jp/tcc/tcc/products/gwp/temp/ann_wld.html

๐Ÿ”ฌ CO₂ and Atmospheric Measurements

  • NOAA Global Monitoring Laboratory - Trends in Atmospheric Carbon Dioxide (CO2) - Moana Loa Observatory. Available at: https://gml.noaa.gov/ccgg/trends/ 
  • Keeling, C.D. et al. (1958–2024). Mauna Loa Atmospheric CO₂ Record. Scripps Institution of Oceanography. Available at: https://scrippsco2.ucsd.edu/
  • IPCC (2021). Sixth Assessment Report (AR6): The Physical Science Basis. Intergovernmental Panel on Climate Change. Available at: https://www.ipcc.ch/report/ar6/wg1/

⚗️ Isotopic Evidence and Carbon Sources

  • Tans, P. and Keeling, R. (2023). Trends in ¹³C/¹²C Ratios in Atmospheric CO₂. NOAA Global Monitoring Laboratory.
  • Schmitt, J. et al. (2012). Carbon isotope constraints on the role of CO₂ in glacial–interglacial climate change. Science, 336(6082), pp.711–714.
  • Levin, I. and Hesshaimer, V. (2000). Radiocarbon – A Unique Tracer of Global Carbon Cycle Dynamics. Radiocarbon, 42(1), pp.69–80.

☀️ Natural Factors and Alternative Explanations

  • Lean, J.L. (2018). Estimating Solar Irradiance Since 1600. Geophysical Research Letters, 45(16), pp.9529–9537.
  • US Geological Survey (2023). Volcanic Gases and Their Effects. Available at: https://www.usgs.gov/volcanoes
  • Trenberth, K.E. et al. (2014). Natural variability and climate change: Observations and model analysis. Climate Dynamics, 42(5–6), pp.1385–1403.

๐Ÿ“ˆ Climate Models and Consensus

  • Cook, J. et al. (2016). Consensus on consensus: a synthesis of consensus estimates on human-caused global warming. Environmental Research Letters, 11(4), 048002.
  • Hausfather, Z. et al. (2020). Evaluating the performance of past climate model projections. Geophysical Research Letters, 47(1), e2019GL085378.

๐Ÿ“Š Contrary or Minority Evidence Discussed

  • Dagsvik, J.K. and Moen, S.H. (2023). To what extent are temperature levels changing due to greenhouse gas emissions? Statistics Norway Discussion Paper No. 1009.
  • Lomborg, B. (2001). The Skeptical Environmentalist: Measuring the Real State of the World. Cambridge University Press.

๐Ÿง  Science and Thinking

  • Sagan, C. (1996). The Demon-Haunted World: Science as a Candle in the Dark. Ballantine Books.



 

No comments:

Post a Comment