Knowledge (XXG)

Uncomfortable science

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97:. The agreement between data and the numerical rule should be no surprise, as we have deliberately chosen the rule to match the data. If we are concerned about what Bode's law tells us about the cause system of planetary distribution then we demand confirmation that will not be available until better information about other planetary systems becomes available. 42:
will not be available. More specifically, it involves the analysis of a finite natural phenomenon for which it is difficult to overcome the problem of using a common sample of
59: 257: 252: 227: 141: 234:
Much of science also falls under John Tukey's label "uncomfortable science," because real repetition is not feasible or practical.
128:(1985). "Theories of data analysis: from magical thinking through classical statistics". In Hoaglin, D.C; et al. (eds.). 51: 47: 89:(exploratory data analysis), there are not enough planets remaining for a rigorous and independent test of the 27: 31: 223: 196: 137: 186: 178: 106: 82: 66: 55: 216: 191: 166: 130: 246: 74: 39: 20: 125: 112: 94: 90: 23: 200: 182: 70: 69:, which provides a simple numerical rule for the distances of the 86: 43: 35: 167:"The self-assessment trap: Can we all be better than average?" 78: 93:(confirmatory data analysis). We have exhausted the natural 26:, comprises situations in which there is a need to draw an 215: 129: 165:Norel, R.; Rice, J. J.; Stolovitzky, G. (2011). 38:, where further samples influenced by the same 81:. Once the rule has been derived, through the 8: 85:matching of various rules with the observed 190: 109:for an extreme example of this phenomenon 60:testing hypotheses suggested by the data 218:Exploring Data Tables Trends and Shapes 157: 132:Exploring Data Tables Trends and Shapes 7: 214:Hoaglin, D.C; et al. (eds.). 14: 258:Statistical hypothesis testing 54:. This leads to the danger of 1: 274: 52:confirmatory data analysis 171:Molecular Systems Biology 48:exploratory data analysis 253:Philosophy of statistics 65:A typical example is 17:Uncomfortable science 183:10.1038/msb.2011.70 19:, as identified by 265: 237: 236: 221: 211: 205: 204: 194: 162: 147: 135: 273: 272: 268: 267: 266: 264: 263: 262: 243: 242: 241: 240: 230: 213: 212: 208: 164: 163: 159: 154: 144: 124: 121: 107:Cosmic variance 103: 83:trial and error 56:systematic bias 30:from a limited 12: 11: 5: 271: 269: 261: 260: 255: 245: 244: 239: 238: 228: 206: 156: 155: 153: 150: 149: 148: 142: 120: 117: 116: 115: 110: 102: 99: 13: 10: 9: 6: 4: 3: 2: 270: 259: 256: 254: 251: 250: 248: 235: 231: 229:0-471-09776-4 225: 220: 219: 210: 207: 202: 198: 193: 188: 184: 180: 176: 172: 168: 161: 158: 151: 145: 143:0-471-09776-4 139: 134: 133: 127: 123: 122: 118: 114: 111: 108: 105: 104: 100: 98: 96: 92: 88: 84: 80: 76: 72: 68: 63: 61: 57: 53: 49: 45: 41: 37: 33: 29: 25: 22: 18: 233: 217: 209: 174: 170: 160: 131: 126:Diaconis, P. 119:Bibliography 75:Solar System 64: 40:cause system 21:statistician 16: 15: 113:Data mining 247:Categories 152:References 91:hypothesis 67:Bode's law 24:John Tukey 222:. Wiley. 136:. Wiley. 95:phenomena 77:from the 46:for both 28:inference 201:21988833 101:See also 58:through 192:3261704 177:: 537. 73:in the 71:planets 226:  199:  189:  140:  32:sample 224:ISBN 197:PMID 138:ISBN 87:data 50:and 44:data 36:data 187:PMC 179:doi 79:Sun 34:of 249:: 232:. 195:. 185:. 173:. 169:. 62:. 203:. 181:: 175:7 146:.

Index

statistician
John Tukey
inference
sample
data
cause system
data
exploratory data analysis
confirmatory data analysis
systematic bias
testing hypotheses suggested by the data
Bode's law
planets
Solar System
Sun
trial and error
data
hypothesis
phenomena
Cosmic variance
Data mining
Diaconis, P.
Exploring Data Tables Trends and Shapes
ISBN
0-471-09776-4
"The self-assessment trap: Can we all be better than average?"
doi
10.1038/msb.2011.70
PMC
3261704

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