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Smart researchers don't trust any single source. They cross-check claims across at least three independent sources before treating something as fact.
If only one source claims something, you don't know if it's a careful finding or a mistake. If three independent sources arrive at the same conclusion separately, you have real confidence.
This is called triangulation. Real journalists, scientists, and historians all use this approach.
Asking three different AI models the same question doesn't count as three sources — they may all be trained on similar data and inherit the same errors. AI is one source. Always pair it with two human-written sources.
The big idea: real research isn't about finding one source — it's about finding three that all point to the same truth, independently.
15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-research-three-sources
What is the minimum number of independent sources needed to confirm a factual claim before treating it as likely true?
A student finds three news articles that all report the same statistic and each cites the same original government report. Can these three articles be considered three independent sources?
Why does asking three different AI chatbots the same question not satisfy the three-source rule?
A claim appears in a 2018 textbook, a 2019 news article, and a 2020 academic journal—all agreeing on the same historical event. Why might this still not guarantee the claim is true?
What does triangulation mean in the context of fact-checking and research?
A researcher finds three sources from three different countries that all agree on a historical fact. Why is this considered stronger evidence than three sources from the same country?
When two of your three sources agree on a claim but the third source contradicts it, what should you do next?
What is a chain of citations?
Why is it recommended to find your third source from a different time period or country when possible?
What specifically makes two sources "independent" of each other in the context of the three-source rule?
What does it mean to corroborate a claim?
A fact-checking website states that a certain law was passed in 2020. You find two other websites that also say the law was passed in 2020, but all three reference the same congressional record. Is this strong evidence that the claim is true?
What is the main risk when three sources all cite each other rather than conducting original research on a topic?
A claim about a software product's features appears in three recent tech news articles. Why should you verify this information before making a decision based on it?
What is the fundamental limitation of treating three different AI language models as three separate sources?