Postdiction example sentences

"Postdiction" Example Sentences

1. Postdiction is a controversial concept in some scientific fields.
2. The accuracy of the postdiction was surprisingly high.
3. His postdiction of the market crash was remarkably precise.
4. We used a complex model for postdiction analysis.
5. The postdiction of the historical event is a subject of debate.
6. This study focuses on the limitations of postdiction in psychology.
7. Accurate postdiction requires reliable data.
8. Postdiction can be a powerful tool for understanding past events.
9. The researcher's postdiction was based on faulty assumptions.
10. Many critics question the validity of postdiction methods.
11. Postdiction differs significantly from prediction.
12. Their postdiction model failed to account for external factors.
13. Improving postdiction accuracy is an ongoing challenge.
14. The postdiction of the earthquake's magnitude was incorrect.
15. He argued against the use of postdiction in his paper.
16. Statistical methods are often used for postdiction.
17. The postdiction analysis revealed interesting patterns.
18. Postdiction is sometimes used to test theories.
19. Postdiction, while useful, is not without its flaws.
20. The team's postdiction was remarkably consistent with the data.
21. Are there ethical considerations concerning postdiction?
22. Postdiction 23. We need more research on the reliability of postdiction.
24. Effective postdiction relies on careful data selection.
25. The postdiction provided valuable insights into the phenomenon.
26. His postdiction was dismissed as mere speculation.
27. How accurate was their postdiction of the election results?
28. The study explores the limits of postdiction in complex systems.
29. Postdiction is crucial for understanding this historical process.
30. With better data, the postdiction would likely improve.
31. Despite its limitations, postdiction remains a valuable tool.
32. What are the potential biases in postdiction analysis?
33. The article challenges the assumptions underlying postdiction.
34. Postdiction analysis often reveals unexpected correlations.
35. Their postdiction completely missed the key causal factor.
36. Future research should focus on refining postdiction techniques.
37. Postdiction can help us to learn from past mistakes.
38. The accuracy of the postdiction depends heavily on the model used.
39. She developed a novel method for postdiction modeling.
40. This new software facilitates more accurate postdiction.
41. The postdiction suggested a different interpretation of the events.
42. We used a Bayesian approach to postdiction analysis.
43. Postdiction is not a perfect science.
44. Further postdiction is needed to confirm this hypothesis.
45. The strength of the postdiction is its explanatory power.
46. Postdiction differs from retrodiction in subtle ways.
47. The use of postdiction remains controversial among experts.
48. The postdiction is only as good as the data it is based on.
49. Improving the quality of data is crucial for better postdiction.
50. This case study highlights the challenges of postdiction in practice.