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What Is the Incomplete Synthesis Fallacy?
The incomplete synthesis fallacy occurs when an argument draws a conclusion from only part of the available evidence, ignoring data that contradicts or complicates the claim. Also called "cherry-picking" or "the fallacy of incomplete evidence," it produces conclusions that look well-supported on the surface but collapse when the full picture is considered.
For example, a company might claim "customer satisfaction increased 20% this quarter" while omitting that the survey response rate dropped by half, meaning the results come from a smaller and potentially biased sample.
How This Fallacy Appears in Writing
Selective Data Presentation
Presenting only statistics that support your position while leaving out contradicting numbers. An essay arguing that a policy worked might cite three studies showing positive outcomes and ignore five studies showing no effect or negative results.
One-Sided Source Selection
Drawing exclusively from sources that agree with the thesis. A balanced argument acknowledges opposing evidence and explains why the conclusion still holds despite it.
Ignoring Context and Limitations
Citing a finding without mentioning the conditions under which it was observed or the limitations the original researchers noted. A study's results may apply only to a specific population, time period, or set of circumstances.
How to Fix Incomplete Synthesis
- Actively search for evidence that contradicts your thesis and address it directly.
- When citing statistics, include the sample size, methodology, and any caveats the source mentions.
- Acknowledge limitations in your own argument rather than pretending they don't exist.
- Present counterarguments and explain why your conclusion still holds despite them.
Paste your text into the checker above to identify passages where evidence may be selectively presented or where counterpoints are missing from the argument.
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