The Dark Side of Statistics

100 curated phrases which can manipulate meaning, understanding, and perception of research

What’s your number?

• 1. Data could imply a trend that isn’t definitive.
• 2. Data could reflect nuances that are easily overlooked.
• 3. Data does not provide a definitive answer.
• 4 . Data hints at possible correlations.
• 5. Data may be subject to various interpretations.
• 6. Data may not align with expected results.
• 7. Data may point in different directions.
• 8. Data might not present a complete picture.
• 9. Data might point to patterns that are not yet established.
• 10. Data might suggest some trends worth exploring.
• 11. Data shows patterns that may not hold true.
• 12. Data suggests a possibility rather than a certainty.
• 13. Data suggests patterns that warrant further exploration.
• 14. Data suggests possible but not definite outcomes.
• 15. Data suggests the need for cautious interpretation.
• 16. Data suggests variability that complicates interpretations.
• 17. Evidence could imply but not confirm findings.
• 18. Evidence could imply connections that aren’t clear.
• 19. Evidence could indicate trends but lacks certainty.
• 20. Evidence could support multiple perspectives.
• 21. Evidence shows trends that merit further investigation.
• 22. Evidence suggests a need for cautious interpretation.
• 23. Findings are tentative and should be approached with caution.
• 24. Findings could be interpreted in various ways.
• 25. Findings could be misleading without proper context.
• 26. Findings could be subject to misinterpretation.
• 27. Findings could imply connections without strong evidence.
• 28. Findings could indicate a need for further investigation.
• 29. Findings leave open the possibility of alternative explanations.
• 30. Findings may not be as robust as initially thought.
• 31. Findings may not fully capture the situation.
• 32. Findings might not align with initial hypotheses.
• 33. Findings might not lead to clear conclusions.
• 34. Findings might require further exploration to clarify.
• 35. Insights are open to different interpretations.
• 36. Insights could be more complex than they appear.
• 37. Insights could lead to different interpretations.
• 38. Insights could lead to more questions than answers.
• 39. Insights leave significant questions lingering.
• 40. Insights may be clouded by limitations in data.
• 41. Insights may not be as straightforward as they seem.
• 42. Insights may not provide a solid foundation.
• 43. Insights may require a more nuanced understanding.
• 44. Insights may vary depending on perspective.
• 45. Results are fraught with ambiguity.
• 46. Results could be better understood with additional context.
• 47. Results could be clouded by external variables.
• 48. Results could be influenced by unexamined factors.
• 49. Results could be subject to future revision.
• 50. Results could change with additional data.
• 51. Results could lead to various interpretations.
• 52. Results could mask underlying complexities.
• 53. Results hint at potential patterns but lack clarity.
• 54. Results hint at uncertainty regarding effectiveness.
• 55. Results leave room for interpretation.
• 56. Results may be inconclusive at best.
• 57. Results may be tentative and require validation.
• 58. Results may change with further examination.
• 59. Results may suggest but not confirm clear relationships.
• 60. Results might reflect a more complex reality.
• 61. Results raise as many questions as they answer.
• 62. Results suggest the potential for other variables.
• 63. Results suggest variability that warrants attention.
• 64. The analysis highlights the need for ongoing scrutiny.
• 65. The analysis indicates uncertainty about key factors.
• 66. The analysis lacks definitive support for claims.
• 67. The analysis leaves some questions unanswered.
• 68. The analysis may benefit from further refinement.
• 69. The analysis might benefit from more clarity.
• 70. The analysis presents a mixed picture.
• 71. The analysis raises more questions than it answers.
• 72. The analysis raises questions rather than providing answers.
• 73. The analysis reveals complexities that need unpacking.
• 74. The analysis shows a blend of certainty and uncertainty.
• 75. The conclusions are based on incomplete evidence.
• 76. The conclusions are not entirely clear-cut.
• 77. The conclusions are provisional and not absolute.
• 78. The conclusions are somewhat tentative.
• 79. The conclusions drawn are not entirely conclusive.
• 80. The conclusions drawn are not entirely straightforward.
• 81. The conclusions might need further substantiation.
• 82. The data appears to be somewhat elusive.
• 83. The data does not provide a straightforward conclusion.
• 84. The data shows trends that are hard to define.
• 85. The evidence might support multiple narratives.
• 86. The evidence points to unclear outcomes.
• 87. The evidence shows a complex scenario.
• 88. The findings are not uniformly clear.
• 89. The findings lack decisive support.
• 90. The outcomes do not provide a clear resolution.
• 91. The outcomes may reflect broader uncertainties.
• 92. The outcomes may reflect nuances not immediately apparent.
• 93. The outcomes suggest a lack of clarity.
• 94. The outcomes suggest some level of doubt.
• 95. The results are open to varying interpretations.
• 96. The results might shift with new information.
• 97. The results suggest possible inconsistencies.
• 98. There appears to be some ambiguity in the results.
• 99. There’s a possibility of underlying factors not accounted for.
• 100. There’s potential for alternate explanations.

#100 sums up this list!