FD-340c(4-11-03) Field Office Acquiring Evidence les York Serial # of Originating Document DateReceied SUI¢( 2p From Flo Lace Coen Date (Name of Contributor/Interviewee) LHe Sort? Druuy Ze lueh ‘To Be Returned oO Yes Receipt Given [[] Yes EFNo Grand Jury Material - Disseminate Only Pursuant to Rule 6 (e) Federal Rules of Criminal Procedure 1 ves Eno Federal Taxpayer Information (FTI) Title: Reference: (CommunicaGon Enclesing Materia!) Description: [7] Original notes reinterview of Tho (2) Cbs ee Ot epune Caw Ser gloke fer “Hoan Inetere”s Tus (2) Cds aS ORDEAL OMS scan cate Ler * rete" cD S cone 2 Gv Move (tmetire’= Dax (0) Cid eactonns Loy & @e kr tale cree prperss; Copy & tod slat chanas Laechions of fang EFTA00257997

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ITEM WAS NOT SCANNED DESCRIPTION Ch x 7 Official DocLab Instruction(s) — Revised July 27, 2020 EFTA00257998

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& 4 GA) DATA Origics| (z) 2017. OBIZ_NY_ GEAB_ GRATO O) a ee al EFTA00257999

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a 2019. O812.NY_ GCap FARO LAsER Seat! DFA EFTA00258000

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Seeus 260 Se Little Sata Jeacs Islead \ Aogest 12, ZAG 2019. O812- NY. G2AB 2O1G. O9!2. NY. ECAB.CRATO E peo Laser Sean DATA 4 EFTA00258001

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; RAN DATA 2019. OB812_ NY_ GCAB_ Gearo —— >> f f i FAGO LASER SCAN DATA EFTA00258002

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ORGINAL Do\y_ OBIZ_NY_ GOAB Lika Saint amas Le leat ~ Mais Stryeire Fito Lager See bere EFTA00258003

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Prose er Ptce O@EGENAL Zot}. W812. UZ_GCAB_ Gearn yy Lith, Caine Tersy Lelag EFTA00258004

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2014. OB12— MY. GEAB C ) Little Coa ae Jorss EFTA00258005

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a ie ~: bioz /21/8 MST han’ 5g v9 senens "wexaaea' eNO bremaprey PPARs y 175 sper we hE -)Z wy mops bad | prt sg WS HD Vavpity 3 9S opm we | + -ahy 14.-$429€ -AN- BIE HPS ah jv HOU 0) ~¢ \ EFTA00258006

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Detail of “Grotto” on Southeast Peninsula Litle Gunite Taig Telend U-G. Veegun Lslends $(u (2014 oe 31E-NY-3027571 EFTA00258007

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r Sem locations nat t sccle ahs 31 -NY- 202454 Nete: 3-4 Bre indoor Scone of kitchen, Little Senet Tamas Tslek Main Gructvee Arie 21 = 34 ace vadow ses of sTruckte Cactomiay bedcomn , beth, Steuer aren US Vicgu Tokads @ (12/2014 Se a 3 EFTA00258008

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Detail of “Grotto” on | Southeast Peninsula Litle Seot Jans Tslend U-§. Virgin Lslends 6(e (24 31E-NY-3027571 Cua aie ore wt te seele - EFTA00258009-

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Registration Report Project 2019_0812_NY_GCAB_GRATO Be PI OR SO Recording Period 8/12/2019, 5:46:48 PM - 8/12/2019, 6:20:40 PM a Report Date 8/23/2019, 3:16:49 PM Color Coding Point Error | <o3tin > 0.79 in EFTA00258010

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Overview Scan Point Statistics Maximum Point Error 0.257 in Minimum Overlap 36.6 % EFTA00258011

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Scan Errors Scan Point Statistics 2019_0812_NY_GCAB_GRATOOOI | 3 2019 0812. NY GCAB GRATO002 3 2019_0812_NY_GCAB_GRATO003 3 _ 2019_0812_ NY_GCAB_GRATO004 3 EFTA00258012

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Detailed Errors Scan Point Statistics 2019 0812 NY_GCAB_GRATO001 2019 0812. NY_GCAB_GRATO002 2019_0812_NY_GCAB GRATO001 2019_0812_ NY_GCAB_GRATO003 2019 0812 NY_GCAB_GRATO002 2019 0812 NY_GCAB_GRATO003 2019 | 0812 NY_ GCAB | GRATO004 © 2019_0812_NY_| GCAB. | GRATO001 2019_| 08121 NY_ GCAB | GRATO004 2019 _0812_NY_GCAB | GRATO002 2019 0812.1 NY. GCAB | GRATO004 2019 0812_NY_| GCAB | GRATO003 EFTA00258013°

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Inclinometer Mismatches Cluster/Scan 2019 0812 NY_GCAB_GRATO004 2019 0812 NY_GCAB GRATO001 2019 _0812_NY_GCAB_GRATO002 2019 0812 NY_GCAB_GRATO003 2019 0812 NY_GCAB_GRATO004 2019 0812. NY_GCAB_GRATO001 2019 0812 NY_GCAB_GRATO002 2019 0812. NY_GCAB_GRATO003 Mismatch [deg] 0.0305 0.0308 0.0022 0.0046 EFTA00258014

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Registration Report Project 2019_0812_NY_GCAB ee ee Recording Period 8/12/2019, 10:50:09 AM - 8/12/2019, 5:08:06 PM a Se a Report Date 8/12/2019, 11:50:11 PM Color Coding Point Error | <0.31in § >0.79 in EFTA00258015

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Overview Scan Point Statistics Maximum Point Error Mean Point Error Minimum Overlap EFTA00258016

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Scan Errors Scan Point Statistics Cluster/Scan 2019 _0812_NY_GCABO01 2019 0812_NY_GCABO002 2019_0812_NY_GCABO003 2019 _0812_NY_GCAB004 2019 0812. NY_GCABO00S 2019_0812_NY_GCAB006 2019_0812_NY_GCABO007 2019 0812. NY_GCABO008 2019 0812 NY_GCAB009 2019_0812_NY_GCABO10 2019 0812. NY_GCABO11 2019 0812. NY_GCABO012 2019 0812. NY_GCABO13 2019 0812 NY_GCABO014 2019 0812. NY_GCABOIS 2019 0812 NY_GCABO016 2019_0812_NY_GCABO17 2019 0812. NY_GCABO18 2019_0812_NY_GCABO19 2019 _0812_NY_GCAB020 2019 _0812_NY_GCABO021 2019 0812_NY_GCABO022 2019 0812_NY_GCAB023 2019 0812_NY_GCAB024 2019_0812_NY_GCAB025 2019 0812_NY_GCAB026 2019 0812_NY_GCAB027 2019_0812_NY_GCAB028 2019_0812_NY_GCAB029 2019 0812_NY_GCAB030 2019 _0812_NY_GCABO031 Connections 4 ml ON oO NUWeaanuwnanwne SuUrNP NIA FP UP URW NK WAAQA Max. Point Error [in] 0.209 0.167 0.209 0.154 0.109 0.127 0.047 0.037 0.037 0.087 0.169 0.393 0.163 0.122 0.085 0.163 0.393 0.116 0.058 0.062 0.078 0.060 0.031 0.071 0.072 0.157 0.157 0.154 0.154 0.071 0.052 Mean Point Error [in] 0.181 0.131 0.107 0.090 0.058 0.075 0.039 0.037 0.035 0.054 0.075 0.124 0.089 0.088 0.066 0.094 0.129 0.079 0.051 0.047 — 0.049 0.042 0.031 0.045 0.057 0.103 0.088 0.069 0.135 0.055 0.043 Min. 39.9 % 51.7% 24.8% 51.6% 18.7 % 40.1 % 18.7% 75.4% 75.4% 45.9% 24.8% 15.6 % 38.5% 34.4% 47.3% 26.0% 15.6 % 38.1% 38.3 % 24.7% 27.5% 52.4% 78.4% 28.6 % 24.7% 26.0 % 32.7% 30.1% 26.0%" 28.8 % 30.1% EFTA00258017

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-2019_0812_NY_GCAB032_ 5 il eich eh enh aos Bi -E 2019 0812_NY_GCAB033 4 2019_0812_NY_GCAB034 2019 | 08121 NY. GCAB035 ~2019_0812_NY_| GCAB036 8 --2019_0812_NY_GCAB037 10 20190812 NY_GCAB038 4 2019_0812_} NY_GCABO039 4 - 2019_0812_NY_GCABO040__ : 2019 _0812_NY_GCABO041 2019. 0812_NY_GCAB042 _ ta EFTA00258018

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Detailed Errors Scan Point Statistics Cluster/Scan 1 2019 0812_NY_GCABO002 2019 0812_NY_GCAB002 2019_0812_NY_GCAB002 2019 0812. NY_GCAB002 2019_0812_NY_GCABO003 2019_0812_NY_GCAB003 2019 _0812_NY_GCAB003 2019_0812_NY_GCABO003 2019_0812_NY_GCAB00S 2019 0812_NY_GCAB00S 2019 0812. NY_GCABO005 2019 0812. NY_GCAB006 2019_0812_ NY_GCAB006 2019 0812 NY_GCAB006 2019_0812_NY_GCAB006 2019 0812 NY_GCAB006 2019 _0812_NY_GCABO007 2019_0812_NY_GCAB008 2019_0812_NY_GCABO10 2019 0812_NY_GCAB010 2019 0812. NY_GCABO010 2019 0812. NY_GCABO010 2019_0812_ NY_GCAB010 2019_0812_NY_GCABO11 2019_0812_NY_GCABO11 2019 0812. NY_GCABO11 2019_0812_NY_GCAB013 2019 _0812_NY_GCABO13 2019 _0812_NY_GCABO014 2019 _0812_NY_GCAB015 2019 0812_NY_GCABO15 2019 _0812_NY_GCABO16 Cluster/Scan 2 2019_0812_NY_GCABO001 2019 _0812_NY_GCABO003 2019 0812_NY_GCAB004 2019 0812. NY_GCAB042 2019 0812 NY_GCABO001 2019 0812 NY_GCABO004 2019 0812 NY_GCABO035 2019 0812 NY_GCAB042 2019 0812 NY_GCAB003 2019 0812 NY_GCAB004 2019 0812 NY_GCAB007 2019 0812_NY_GCAB003 2019 0812. NY_GCAB004 2019 _0812_NY_GCABO00S 2019_0812_NY_GCAB035 2019 0812_NY_GCAB007 2019 0812_NY_GCAB009 2019 0812_NY_GCAB009 2019 0812. NY_GCAB003 2019 _0812_NY_GCABO00S 2019 0812 NY_GCABO11 2019 0812_NY_GCABO12 2019 0812 NY_GCAB037 2019 0812 NY_GCABO003 2019 0812 NY _GCABO00S 2019 0812. NY_GCABO12 2019 0812. NY_GCABO12 20190812 NY_GCABO014 2019 0812. NY_GCABO12 2019_0812_NY_GCABO013 2019 0812 NY_GCABO014 2019 0812_NY_GCABO013 Point Error [in] Overlap 0.167 0.124 0.154 0.095 0.209 0.053 0.109 0.090 0.062 0.056 0.047 0.071 | 0.061 0.034 0.123 0.038 0.032 0.037 0.055 0.042 0.044. 0.043 0.087 0.169 0.059 0.027 0.066 0,063 0.092 0.064 0.051 0.163 60.5 % 119% 51.7% 61.3% 54.5% 75.8% B.8% 77.3% 61.0% 60.3 % 18.7% 55.7% 61.5% 68.3 % 48.7% 40.1% 80.7 % 75.4% 46.4 % 91.7% 74.1% 47.9% 45.9% 24.8% 51.9% 60.3 % 46.5 % 48.8% 34.4% 473% 74.3% 38.5% EFTA00258019

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2019_0812_NY_GCAB016 2019 0812 NY_GCAB016 2019 0812. NY_GCABO16 2019 _0812_NY_GCABO16 2019 0812. NY_GCABOI7 2019 0812_NY_GCABO17 2019_0812_NY_GCABOI7 2019 0812 NY_GCABO017 2019 0812_NY_GCABO17 2019 0812_NY_GCABO17 2019_0812_NY_GCABOI7 2019 0812_NY_GCABO18 2019 0812. NY_GCABO18 2019 0812_NY_GCABO18 2019 0812_NY_GCAB020 2019_0812_ NY_GCAB020 2019_0812_NY_GCAB021 2019 0812_NY_GCAB021 2019 0812_NY_GCAB021 2019 0812. NY_GCAB021 2019 0812_NY_GCAB022 2019_0812_NY_GCAB023 2019 0812_NY_GCABO024 2019_0812_NY_GCABO025 2019 0812_NY_GCABO025 2019 0812_NY_GCAB025 2019 0812_NY_GCAB025 2019 0812_NY_GCABO025 2019 0812_NY_GCABO025 2019 0812. NY_GCAB026 2019 0812 NY_GCAB027 2019 0812_NY_GCAB027 2019_0812_NY_GCAB027 2019 _0812_NY_GCAB028 2019 0812. NY_GCAB028 2019_0812_NY_GCAB028 2019_0812_NY_GCAB028 2019 0812_NY_GCAB028 2019_0812_NY_GCAB030 2019 0812_NY_GCABO030 2019 0812. NY_GCAB014 2019 0812. NY_GCABO15 2019 0812. NY_GCAB019 2019 0812_NY_GCAB020 2019 0812 NY_GCAB012 2019 0812. NY_GCABO014 2019 0812. NY_GCABO15 2019 0812_NY_GCABO016 2019 0812. NY_GCABO018 2019 0812_NY_GCABO019 2019 0812 NY_GCAB020 2019 0812_NY_GCABO016 2019_0812_NY_GCAB019 2019 0812_NY_GCAB020 2019 0812_NY_GCABO019 2019_0812_NY_GCAB024 2019_0812_NY_GCAB020 2019 0812. NY_GCABO024 2019 0812 NY_GCAB022 2019 0812. NY_GCAB026 2019 _0812_NY_GCAB024 2019 0812_NY_GCAB022 2019 0812_NY_GCAB026 2019 0812_NY_GCAB020 2019 0812_NY_GCAB021 2019 _0812_NY_GCABO022 2019 0812_NY_GCAB024 2019 0812_NY_GCAB026 2019_0812_NY_GCAB027 2019_0812_NY_GCAB029 2019_0812_ NY_GCAB026 2019 0812_NY_GCAB032 2019 0812_NY_GCAB029 2019 0812_NY_GCAB027 2019_0812_ NY_GCAB032 2019 0812 NY_GCAB029 2019 _0812_NY_GCAB031 2019_0812_NY_GCAB033 2019 _0812_NY_GCAB027 2019_0812_NY_GCAB032 0.111 0.058 0.062 0.393 0.122 0.085. 0.082 0.108 0.057 0.057 0.116 0.046 0.045 0.043 0.040 0.030 0.038 0.040 0.037 0.031 0.071 0.050 0.056 0.060 0.041 0.072 0.066 0.136 0.157 0.077 0.114 0.057 0.035 0.154 0.035 0.042 0.058 58.3 % 122.5% 38.3 % 26.0 % 15.6% 45.0% 57.7% 68.3% 44.1% 49.5 % 35.8% 38.1% 60.6 % 44.9 % 48.3 % 28.6 % 27.5% 79.0 % 68.7 % 56.7% 58.2% 78.4% 49.8% 24.7 % 61.0 % 524% 412% 77.9% 57.6 % 32.7% 26.0 % 63.4 % 46.9 % 53.1% 49.3 % 67.9% 30.1% 36.7 % — 50.3% (46.5% EFTA00258020

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2019_0812_NY_GCAB030 2019_0812_NY_GCAB030 2019_0812_NY_GCAB033 2019 0812. NY_GCAB034 2019_0812_NY_GCAB034 2019_0812_ NY_GCAB034 2019 0812_NY_GCABO035 2019_0812_NY_GCAB036 2019_0812_NY_GCAB036 2019 0812 NY_GCAB036 2019 0812. NY_GCAB036 2019 0812 NY_GCAB036 2019 0812 NY_GCABO036 2019 0812_NY_GCAB036 2019 0812 NY_GCAB036 2019 0812. NY_GCABO037 2019 0812_NY_GCABO037 2019_0812_NY_GCABO037 2019 0812. NY_GCABO037 2019 0812. NY_GCABO037 2019 0812. NY_GCABO037 2019 0812. NY_GCAB037 2019 0812. NY_GCAB037 2019 0812_NY_GCAB039 2019_0812_NY_GCAB039 2019_0812_NY_GCAB040 2019 0812. NY_GCAB041 2019 0812. NY_GCABO041 2019_0812_NY_GCAB041 2019 0812. NY_GCAB042 2019_0812_NY_GCABO031 2019 0812_NY_GCAB033 2019_0812_ NY_GCABO032 2019_0812_NY_GCAB030 2019 0812. NY_GCAB032 2019 0812_NY_GCAB033 2019 _0812_NY_GCAB004 2019 _0812_NY_GCABO01 2019 0812_NY_GCAB002 2019 0812_NY_GCAB035 2019 0812 NY_GCAB038 2019 0812. NY_GCABO037 2019 0812_NY_GCAB039 2019 0812_NY_GCAB040 2019 0812_NY_GCAB041 2019 0812_NY_GCABO001 2019_0812_NY_GCAB002 2019 0812_NY_GCAB003 2019 0812_NY_GCAB004 2019 0812_NY_GCAB00S 2019_0812_NY_GCAB006 2019_0812_NY_GCAB035 2019 0812. NY_GCAB042 2019_0812_NY_GCAB038 2019_0812_ NY_GCAB040 2019.0812_ NY_GCABO038 2019_0812_NY_GCAB038 2019_0812_NY_GCAB039 2019 0812_NY_GCAB040 2019_0812_NY_GCABO035 0.052 0.041 0.035 0.071 = 0055-| 87 | 0115 0.188 0.132 01126 0.141 eo a 0.164 0.161 0.118 0.159 = eS: 0.128, 0.101 0.109 “10127 | 0.103 — 0.079 | 0.082 0.165 0.175 | 0.117 0.128 0.085 0.150 78.3% | 51.6% 69.7% 69.0 % 15% 31.5% 74.2% 28.8% | 64.1% 39.9 % 71.8 % 72.5% 76.0 % 73.4% 474% 67.8% 87.8 % 76.6 % 69.8 % 55.2% 52.1% 71.6% 69.0% 80.4 % 80.8% 712% 80.9 % 80.8 % 78.6 % 67.0% EFTA00258021

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Inclinometer Mismatches 2019_0812_NY_GCABO030 2019_0812_NY_GCAB036 2019_0812_NY_GCABO010 2019_0812_NY_GCABO17 2019_0812_NY_GCABO037 2019_0812_NY_GCABO023 2019 0812. NY_GCABO18 2019_0812_NY_GCAB028 2019 0812_NY_GCAB016 2019 0812_NY_GCABO025 2019 0812_NY_GCAB021 2019_0812_NY_GCAB022 2019 0812_NY_GCAB008 2019 0812_NY_GCAB027 2019_0812_NY_GCAB006 2019 0812. NY_GCABOI1 2019 0812 NY_GCAB041 2019 _0812_NY_GCABOIS5 2019_0812_NY_GCAB039 2019 0812_NY_GCABO013 2019 0812 NY_GCAB020 2019 0812 NY_GCABO14 2019 0812_NY_GCAB002 2019 0812. NY_GCAB024 2019_0812_NY_GCABO0S 2019_0812_NY_GCABO033 2019_0812_NY_GCAB003 2019_0812_NY_GCABO007 2019_0812_NY_GCABO01 2019_0812_NY_GCAB040 2019 0812. NY_GCAB042 2019_0812_NY_GCABO031 2019_0812_ NY_GCAB009 2019_0812_NY_GCABO012 2019_0812_NY_GCABO19 2019_0812_N Y_GCAB034 2019 0812. NY_GCAB030 2019 0812. NY_GCAB036 2019_0812_NY_GCAB010 2019_0812_NY_GCABO017 2019 0812. NY_GCAB037 2019_0812_NY_GCAB023 2019 0812. NY_GCAB018 2019 _0812_NY_GCAB028 2019_0812_NY_GCAB016 2019_0812_NY_GCAB025 2019_0812_NY_GCABO021 2019 _0812_NY_GCAB022 2019_0812_NY_GCAB008 2019 0812_NY_GCAB027 2019 0812 NY_GCAB006 2019 0812 NY_GCABO11 2019 0812. NY_GCAB041 2019 0812. NY_GCABO15 2019 0812. NY_GCAB039 2019 0812. NY_GCABO013 2019 0812_NY_GCAB020 2019 0812 NY_GCABO014 2019 0812_NY_GCAB002 2019 _0812_NY_GCAB024 2019_0812_NY_GCABO00S 2019_0812_NY_GCAB033 2019_0812_NY_GCAB003 2019_0812_NY_GCABO007 2019 0812. NY_GCAB001 2019 0812. NY_GCABO040 2019 _0812_NY_GCAB042 2019 0812. NY_GCAB031 2019 0812. NY_GCAB009 2019 0812 NY_GCAB012 2019_0812_NY_GCAB019 0.0562 0.0479 0.0489 0.0279 0.0599 0.0365 0.0494 0.0616 0.0429 0.0435 0.0438 0.0355 0.0498 0.0624 0.0538 0.0263 0.0822 0.0157 0.0742 0.0093 0.0456 0.0092 0.0519 0.0510 0.0489 0.0602 0.0494 0.0420 0.0542 0.0765 0.0468 0.0554 0.0353 0.0409 0.0437 EFTA00258022

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2019 0812 NY_GCAB038_— 7 2019 0812 NY_GCAB038_ (0.0595 2019_0812 NY GCAB026 _: 2019 0812 NY GCAB026 —_—._(0.0435 "2019 0812 NY GCABO32 2019 0812_NY_GCAB032_ 0.0527 _ 20190812 NY_GCAB035 | 2019 0812. NY _GCAB035 0.0371 _ 2019 0812 NY_GCABO29 | 2019 0812. NY_GCAB029. 0.0876 "2019_0812_NY_GCAB004 —_! 2019 0812_NY_GCABO004 00485 EFTA00258023