Statement: there were four instances where there was a tie for most rebounds by detroit pistons players during this period of the 2010 - 2011 season

Input Table: 2010 - 11 detroit pistons season

Step 1: Select rows where 'team' is 'detroit pistons'.
game date team score high_points high_rebounds high_assists location_attendance record
62 9999-03-01 milwaukee l 90 - 92 (ot) rodney stuckey (25) greg monroe , charlie villanueva (9) rodney stuckey (5) bradley center 11364 22 - 40
63 9999-03-02 minnesota l 105 - 116 (ot) austin daye (22) greg monroe (11) rodney stuckey (10) the palace of auburn hills 13122 22 - 41
64 9999-03-06 washington w 113 - 102 (ot) tayshaun prince (20) greg monroe , rodney stuckey (7) rodney stuckey (9) the palace of auburn hills 17506 23 - 41
65 9999-03-09 san antonio l 104 - 111 (ot) richard hamilton (20) greg monroe (10) tracy mcgrady (9) at&t center 18581 23 - 42
66 9999-03-11 oklahoma city l 94 - 104 (ot) richard hamilton (20) greg monroe (10) greg monroe , rodney stuckey (6) oklahoma city arena 18203 23 - 43
67 9999-03-12 denver l 101 - 131 (ot) chris wilcox (21) austin daye , ben gordon , greg monroe (6) will bynum (10) pepsi center 19155 23 - 44
68 9999-03-16 toronto w 107 - 93 (ot) richard hamilton (24) greg monroe (10) rodney stuckey (14) the palace of auburn hills 15166 24 - 44
69 9999-03-18 new york w 99 - 95 (ot) tayshaun prince (16) chris wilcox (12) will bynum (5) the palace of auburn hills 22076 25 - 44
70 9999-03-20 atlanta l 96 - 104 (ot) rodney stuckey (22) greg monroe (10) rodney stuckey (8) philips arena 17580 25 - 45
71 9999-03-23 miami l 94 - 100 (ot) richard hamilton (27) greg monroe (12) rodney stuckey (6) the palace of auburn hills 22076 25 - 46
72 9999-03-25 cleveland l 91 - 97 (ot) richard hamilton , tayshaun prince (15) chris wilcox , greg monroe (8) rodney stuckey (4) quicken loans arena 19907 25 - 47
73 9999-03-26 indiana w 100 - 88 (ot) richard hamilton (23) greg monroe (13) richard hamilton , rodney stuckey (6) the palace of auburn hills 19216 26 - 47

Step 2: Select rows where 'high_rebounds' is not null.
game date team score high_points high_rebounds high_assists location_attendance record

Step 3: Group the table by 'date' and 'high_rebounds'.
game date team score high_points high_rebounds high_assists location_attendance record

Step 4: Count the number of unique 'high_rebounds' for each 'date' group.
date high_rebounds count

Step 5: Select rows where the count of unique 'high_rebounds' is greater than 1.
date unique_high_rebounds

Step 6: Use a `CASE` statement to return TRUE if the number of rows is equal to 4, otherwise return FALSE.
date unique_high_rebounds

verification_result
FALSE