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ant to separate challenges to the grand and petit juries. See United States v. Johnson, 21 F. Supp. 2d 329, 334-35 (S.D.N.Y. 1998); United States v. Kenny, 883 F. Supp. 869, 874-75 (E.D.N.Y. 1995). As such, neither case supports the proposition that where a defendant is challenging the selection of th
uals selected from voter registration lists, the racial and ethnic makeup of the White Plains Master Jury Wheel can be estimated using geocoding and Bayesian Improved Surname Geocoding ("BISG").69 Taking into account those estimates, the White Plains Master Wheel is 11.20% Black or African-American and 12.97% His
ant to separate challenges to the grand and petit juries. See United States v. Johnson, 21 F. Supp. 2d 329, 334-35 (S.D.N.Y. 1998); United States v. Kenny, 883 F. Supp. 869, 874-75 (E.D.N.Y. 1995). As such, neither case supports the proposition that where a defendant is challenging the selection of th
uals selected from voter registration lists, the racial and ethnic makeup of the White Plains Master Jury Wheel can be estimated using geocoding and Bayesian Improved Surname Geocoding ("BISG").69 Taking into account those estimates, the White Plains Master Wheel is 11.20% Black or African-American and 12.97% His
ant to separate challenges to the grand and petit juries. See United States v. Johnson, 21 F. Supp. 2d 329, 334-35 (S.D.N.Y. 1998); United States v. Kenny, 883 F. Supp. 869, 874-75 (E.D.N.Y. 1995). As such, neither case supports the proposition that where a defendant is challenging the selection of th
uals selected from voter registration lists, the racial and ethnic makeup of the White Plains Master Jury Wheel can be estimated using geocoding and Bayesian Improved Surname Geocoding ("BISG").69 Taking into account those estimates, the White Plains Master Wheel is 11.20% Black or African-American and 12.97% His
ant to separate challenges to the grand and petit juries. See United States v. Johnson, 21 F. Supp. 2d 329, 334-35 (S.D.N.Y. 1998); United States v. Kenny, 883 F. Supp. 869, 874-75 (E.D.N.Y. 1995). As such, neither case supports the proposition that where a defendant is challenging the selection of th
uals selected from voter registration lists, the racial and ethnic makeup of the White Plains Master Jury Wheel can be estimated using geocoding and Bayesian Improved Surname Geocoding ("BISG") 69 Taking into account those estimates, the White Plains Master Wheel is 11.20% Black or African-American and 12.97% His
ant to separate challenges to the grand and petit juries. See United States v. Johnson, 21 F. Supp. 2d 329, 334-35 (S.D.N.Y. 1998); United States v. Kenny, 883 F. Supp. 869, 874-75 (E.D.N.Y. 1995). As such, neither case supports the proposition that where a defendant is challenging the selection of th
uals selected from voter registration lists, the racial and ethnic makeup of the White Plains Master Jury Wheel can be estimated using geocoding and Bayesian Improved Surname Geocoding ("BISG").69 Taking into account those estimates, the White Plains Master Wheel is 11.20% Black or African-American and 12.97% His
Entities connected to both Kenny and Bayesian Improved

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