Cellphones and Brain Tumors: 15 Reasons for Concern has been prepared to enable balanced reporting on this important subject. It provides information on scientific findings from studies on the risk of brain tumors from cellphone use. It includes studies independent of industry funding as well as telecommunicationsindustry funded studies. Further, it includes background information on the soon to be published Telecom-funded Interphone study. In particular, the report’s purpose is to inform journalists and government officials of the independent scientific findings that raise red flags, and also to address the design flaws in the Interphone study protocol that results in an underestimation of the risk of brain tumors from cellphone use. This report is fully referenced to enable further investigations and for detailed fact checking. We urge all readers to review the results from independent studies on the risk of brain tumors from cellphone use discussed in this report, and to become familiar with the Interphone study’s design flaws (see Appendix 1, A Description of Interphone Study’s Design Flaws). We also urge readers to learn about the Precautionary Principle actions (see inside front cover) that can be implemented by governments and by individuals to greatly reduce cellphone radiation exposure (see Appendix 2, The Precautionary Principle Applied to Cellphone Use). Major Points ? Studies, independent of industry, consistently show there is a “significant” 1 risk of brain tumors from cellphone use. ? The electromagnetic field (EMF) exposure limits advocated by industry and used by governments are based on a false premise that a cellphone’s electromagnetic radiation has no biological effects except for heating. 1 Significant as used throughout this document, is a shorthand term-of-art for “statistically significant” which means there is a 95% or greater probability that the finding is not due to a chance finding. Conversely, “non- significant” is shorthand for “statistically non-significant” meaning that there is less than a 95% confidence that the finding is due to chance. Also see the footnote in Concern 2…

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