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Write when synthetic data helps and when it misleads, with one example per project. Concepts: Synthetic vs real data; use cases: privacy, rare cases, testing, augmentation, scenarios Project A: Share a privacy-safe copy of applicants with an external team; test the pipeline on synthetic applicants. Project B: Create heat-wave or outage scenarios to stress-test the forecaster.