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Everything Hertz

By Dan Quintana

A podcast by scientists, for scientists. Methodology, scientific life, and bad language. Co-hosted by Dr. Dan Quintana (University of Oslo) and Dr. James Heathers (Northeastern University)

  1. 1.
    118: Evidence-free gatekeeping10/19/2020
    1:04:32
  2. 2.
    117: How we peer-review papers10/05/2020
    1:04:50
  3. 3.
    116: In my opinion09/21/2020
    1:17:14
  4. 4.
    115: A modest proposal09/07/2020
    1:00:06
  5. 5.
    114: Diversity in science (with Jess Wade)08/17/2020
    53:43
  6. 6.
    113: Citation needed08/03/2020
    53:11
  7. 7.
    112: Leaving academia07/27/2020
    51:07
  8. 8.
    111: The cumulative advantage of academic capital (with Chris Jackson)07/06/2020
    1:00:26
  1. 9.
    110: Red flags for errors in papers06/15/2020
    46:59
  2. 10.
    109: Open scientific publishing [Live episode]06/01/2020
    51:52
  3. 11.
    108: Requiem for a Screen05/18/2020
    47:45
  4. 12.
    107: Memes, TikTok, and science communication (with Chelsea Parlett-Pelleriti)05/04/2020
    1:05:10
  5. 13.
    106: Science on the run04/20/2020
    50:12
  6. 14.
    105: Tell it like it is (with Marike Schiffer)04/06/2020
    57:45
  7. 15.
    104: Now we'll discover which meetings could've been emails03/16/2020
    1:03:02
  8. 16.
    103: Swiping right03/02/2020
    1:17:01
  9. 17.
    102: Master of none02/17/2020
    1:04:14
  10. 18.
    101: Punishing research misconduct02/03/2020
    59:15
  11. 19.
    100: Hundredth episode live special (with Daniel Lakens, Amy Orben, and Chris Chambers)01/27/2020
    1:50:30
  12. 20.
    99: Science advocacy01/06/2020
    49:36
  13. 21.
    98: Episode titles are redundant, at best (with Sophia Crüwell)12/16/2019
    59:28
  14. 22.
    97: Slow science12/02/2019
    1:00:44
  15. 23.
    96: The chaotic state of doctoral research11/18/2019
    47:49
  16. 24.
    95: All good presentations are alike; each bad presentation is bad in its own way11/04/2019
    1:03:47
  17. 25.
    94: Predicting the replicability of research 10/21/2019
    58:09
  18. 26.
    93: Double-blind peer review vs. open science10/07/2019
    54:46
  19. 27.
    92: Chaos in the brickyard09/16/2019
    1:13:33
  20. 28.
    91: Shifting the goalposts in statistics (with Kristin Sainani)09/02/2019
    1:03:45
  21. 29.
    90: Mo data mo problems08/19/2019
    58:04
  22. 30.
    89: Conflicts of interest in psychology (with Tom Chivers)08/05/2019
    59:52
  23. 31.
    88: The pomodoro episode07/15/2019
    1:00:06
  24. 32.
    87: Improving the scientific poster (with Mike Morrison)07/01/2019
    51:16
  25. 33.
    86: Should I stay or should I go?06/17/2019
    1:04:30
  26. 34.
    85: GWAS big teeth you have, grandmother (with Kevin Mitchell)06/03/2019
    1:23:01
  27. 35.
    84: A GPS in the Garden of Forking Paths (with Amy Orben)05/21/2019
    52:22
  28. 36.
    83: Back to our dirty unwashed roots05/08/2019
    59:10
  29. 37.
    82: More janitors and fewer architects04/15/2019
    1:11:29
  30. 38.
    81: Too Young To Know, Too Old To Care04/01/2019
    56:09
  31. 39.
    80: Cites are not endorsements (with Sean Rife)03/17/2019
    51:33
  32. 40.
    79: Clinical trial reporting (with Henry Drysdale)03/03/2019
    55:47
  33. 41.
    78: Large-scale collaborative science (with Lisa DeBruine)02/17/2019
    58:38
  34. 42.
    77: Promiscuous expertise02/04/2019
    55:16
  35. 43.
    76: Open peer review01/21/2019
    48:08
  36. 44.
    75: Overlay journals (with Daniele Marinazzo)01/07/2019
    58:18
  37. 45.
    74: Seeing double (with Elisabeth Bik)12/19/2018
    51:43
  38. 46.
    73: Update your damn syllabus12/03/2018
    1:01:22
  39. 47.
    72: Anonymity in scientific publishing11/16/2018
    58:04
  40. 48.
    71: Moving for your job11/05/2018
    54:15
  41. 49.
    70: Doubling-blinding dog balls10/15/2018
    1:06:33
  42. 50.
    69: Open science tools (with Brian Nosek)10/09/2018
    49:02
  43. 51.
    68: Friends don’t let friends believe in impact factors (with Nathan Hall)09/03/2018
    1:14:10
  44. 52.
    67: Shit Academics Say (with Nathan Hall)08/20/2018
    1:03:02
  45. 53.
    66: Ideal worlds vs grim truths08/06/2018
    54:23
  46. 54.
    65: Blockchain and open science (with Jon Brock)07/16/2018
    54:30
  47. 55.
    64: Salami slicing07/02/2018
    1:01:57
  48. 56.
    63: Science journalism (with Brian Resnick)06/18/2018
    1:00:34
  49. 57.
    62: Adopting open science practices (with Dorothy Bishop)06/04/2018
    57:29
  50. 58.
    61: Performance enhancing thugs (with Greg Nuckols)05/21/2018
    26:19
  51. 59.
    60: This is more of a comment than a question05/08/2018
    1:07:33
  52. 60.
    59: Rethinking the scientific journal (with Rickard Carlsson)04/16/2018
    1:02:43
  53. 61.
    58: Lessons from podcasting (with Simine Vazire)04/02/2018
    1:01:09
  54. 62.
    57: Radical Transparency (with Rebecca Willén)03/15/2018
    49:15
  55. 63.
    56: Registered reports (with Chris Chambers)02/02/2018
    53:59
  56. 64.
    55: The proposal to redefine clinical trials01/18/2018
    59:11
  57. 65.
    54: Cuckoo Science12/15/2017
    55:14
  58. 66.
    53: Skin in the game11/17/2017
    1:06:53
  59. 67.
    52: Give p's a chance (with Daniel Lakens)10/20/2017
    1:02:33
  60. 68.
    51: Preprints (with Jessica Polka)10/06/2017
    56:14
  61. 69.
    50: Special 50th episode (LIVE)09/14/2017
    1:39:44
  62. 70.
    49: War and p's07/31/2017
    55:59
  63. 71.
    48: Breaking up with the impact factor (with Jason Hoyt)07/21/2017
    53:57
  64. 72.
    47: Truth bombs from a methodological freedom fighter (with Anne Scheel)07/07/2017
    1:09:25
  65. 73.
    46: Statistical literacy (with Andy Field)06/23/2017
    1:19:53
  66. 74.
    45: Conferences and conspiracy theories06/02/2017
    1:01:36
  67. 75.
    44: Who’s afraid of the New Bad People? (with Nick Brown)05/19/2017
    1:08:52
  68. 76.
    43: Death, taxes, and publication bias in meta-analysis (with Daniel Lakens)05/05/2017
    1:02:40
  69. 77.
    42: Some of my best friends are Bayesians (with Daniel Lakens)04/21/2017
    1:07:03
  70. 78.
    41: Objecting to published research (with William Gunn)04/07/2017
    1:07:07
  71. 79.
    40: Meta-research (with Michèle Nuijten)03/24/2017
    49:18
  72. 80.
    39: Academic hipsters03/10/2017
    54:49
  73. 81.
    38: Work/life balance - Part 202/24/2017
    1:02:00
  74. 82.
    37: Work/life balance in academia02/17/2017
    56:30
  75. 83.
    36: Statistical inconsistencies in published research01/27/2017
    50:40
  76. 84.
    35: A manifesto for reproducible science01/20/2017
    50:41
  77. 85.
    34: E-health (with Robin Kok)12/22/2016
    1:00:11
  78. 86.
    33: Zombie theories12/16/2016
    43:53
  79. 87.
    32: Can worrying about getting sick make you sicker?12/01/2016
    43:08
  80. 88.
    31: Discover your psychiatric risk with this one weird trick11/16/2016
    54:56
  81. 89.
    30: Authorship11/02/2016
    49:05
  82. 90.
    29: Learning new skills10/16/2016
    48:55
  83. 91.
    28: Positive developments in biomedical science09/30/2016
    49:04
  84. 92.
    27: Complaints and grievances09/23/2016
    52:45
  85. 93.
    26: Interpreting effect sizes09/09/2016
    45:31
  86. 94.
    25: Misunderstanding p-values08/27/2016
    55:02
  87. 95.
    24: Incentive structures in science08/17/2016
    1:00:20
  88. 96.
    23: Serious academics08/11/2016
    52:40
  89. 97.
    22: Pokemon and public health08/03/2016
    59:15
  90. 98.
    21: This is your brain on steroids07/22/2016
    58:17
  91. 99.
    20: Sample sizes in psychology studies07/13/2016
    1:01:59
  92. 100.
    19: Let us spray: oxytocin and spirituality07/06/2016
    47:24
  93. 101.
    18: Data sharing06/29/2016
    51:28
  94. 102.
    17: Journals: Do we need them?06/22/2016
    51:02
  95. 103.
    16: What makes a good psych study?06/15/2016
    49:10
  96. 104.
    15: Software and coding06/08/2016
    45:27
  97. 105.
    14: Science communication06/02/2016
    32:49
  98. 106.
    13: Academic horror stories05/26/2016
    52:12
  99. 107.
    12: Reporting heart rate variability studies05/21/2016
    59:51
  100. 108.
    11: The placebo effect05/10/2016
    43:38
  101. 109.
    10: Failure05/04/2016
    50:29
  102. 110.
    9: What happens if your research is wrong?04/28/2016
    51:46
  103. 111.
    8: The PhD to Postdoc transition04/20/2016
    50:48
  104. 112.
    Episode 7: 7: The writing process04/15/2016
    49:52
  105. 113.
    6: The research pipeline - getting from idea to publication04/07/2016
    53:53
  106. 114.
    5: Do you even replicate?03/30/2016
    45:00
  107. 115.
    4: Meta-analysis or mega-silliness?03/22/2016
    39:46
  108. 116.
    3: Scientific publishing03/16/2016
    49:16
  109. 117.
    2: Nutrition and Psychiatry03/09/2016
    47:20
  110. 118.
    1: So you want to measure heart rate variability...03/02/2016
    43:42

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