Kim Griest

Wrong!
• Found events by running only on our selected events, but
calculated efficiencies without including effect of our
selection => badly miscalculated efficiencies.
• Analyzed only 22000 lightcurves out of 11.9 million
• Also used very weak statistics => much lower eff, and
many false positives (2 out of 22000) => probably would
not even work if applied to all 11.9 million lightcurves
• Rejected good microlensing, misidentified SN
Conclusion: BEL analysis is meaningless; neural nets
may be useful, but have yet to be applied correctly.
Contamination possible, but certainly not shown yet.
Results of MACHO LMC5.7 stand after small correction
for LMC-23.