%PDF-1.6
%
85 0 obj
<>stream
h|A0ܶ=4ۄjeѢC(ZmB1Cd:{Ao];+IT#Ӕ4_#"\$ REqlOlL.
^:-i :~xP)*(&ww]}˳E ={iL~y`~>Ow&NSlF;ƌ֕Cݘ(:Y(%-oz>hQ8kQQR,DzA[U3I0)H4l"-g(w2W/N1[^)|77uȨ4?^&}Ѯ#E_3jP1cj m #m2*ȨAKF~\jWRr]4+ v
endstream
endobj
86 0 obj
<>stream
hVmk@+>tҽ@),[
u}:8[;7i%)#Ky$x6B
"D Ev`
1IhP}=<8}3f.VunPWiw=Mu>k>T?bsQl+
rrϷiݢ]?ka0)-e3}L.;JpFwt"Cܠe!F_H :6Q炕<'@~߆E{s;2vo=rn\IW!rܓ 6> Z,\KL8J%NO!=ٯ㌯*fdJG4\z)rH[!X/=
)d~6pR8gU}F0=;H$sYu'#
+oP4f+?W(QĻ\"@d}?N4WoVQ2q,W(QL}l.)O%ʹ(Y
NQ2t"T)DmR1_NEfXJ,UR|{Wa\?T8TV3J& 9]:J 2QNFp |%
endstream
endobj
1 0 obj
<>/OCGs[12 0 R]>>/Pages 3 0 R/Type/Catalog>>
endobj
2 0 obj
<>stream
application/pdf
Predictions infographic-ALT
2022-01-26T13:36:21-05:00
2022-01-26T13:36:21-05:00
2022-01-26T10:15:56-08:00
Adobe Illustrator 26.0 (Macintosh)
120
256
JPEG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uuid:43c64710-fec5-dc4e-a11f-6a6a083c7e33
xmp.did:954fcd79-f606-4bc9-b8fd-f4585646f884
uuid:5D20892493BFDB11914A8590D31508C8
proof:pdf
uuid:54f2026f-2f9b-0149-8170-3b309fced6d8
xmp.did:c8081282-e068-403b-ac24-a712861fef96
uuid:5D20892493BFDB11914A8590D31508C8
proof:pdf
saved
xmp.iid:070792b5-9869-42c3-a38b-d87880ad5b0d
2022-01-10T09:56:51-08:00
Adobe Illustrator 26.0 (Macintosh)
/
saved
xmp.iid:954fcd79-f606-4bc9-b8fd-f4585646f884
2022-01-26T10:15:53-08:00
Adobe Illustrator 26.0 (Macintosh)
/
EmbedByReference
/Users/petehonda/Documents/Work Files/DAON/INFOGRAPHICS/Top Biometrics Predictions/Artwork/Yellow bar-2.psd
adobe:docid:photoshop:ad573f81-cb52-7f48-88ee-59f979d0d3a1
xmp.iid:814020e8-0c96-4408-a936-02b200cf6b1a
EmbedByReference
/Users/petehonda/Documents/Work Files/DAON/INFOGRAPHICS/Top Biometrics Predictions/Artwork/Green bar-2.psd
adobe:docid:photoshop:3be9fc87-bb16-9c4e-9b1d-2656b9ec0e26
xmp.iid:ccacf112-c345-4de6-8bd3-7aa3bcd38a14
EmbedByReference
/Users/petehonda/Documents/Work Files/DAON/INFOGRAPHICS/Top Biometrics Predictions/Artwork/Pink bar-2.psd
adobe:docid:photoshop:3da2fa0e-b160-6d42-a684-f57dab8136ee
xmp.iid:e9deb860-fcd6-475c-845d-edd9e3c1092c
EmbedByReference
/Users/petehonda/Documents/Work Files/DAON/INFOGRAPHICS/Top Biometrics Predictions/Artwork/Blue bar-2.psd
adobe:docid:photoshop:d91466ce-6046-0745-864f-94f5f45b4a82
xmp.iid:6bd2d17a-77cf-45e9-b27b-008be716b10e
EmbedByReference
/Users/petehonda/Documents/Work Files/DAON/INFOGRAPHICS/Top Biometrics Predictions/Artwork/Grey bar-2.psd
adobe:docid:photoshop:8b2dc3c4-2e96-8b45-96b2-0b5668e35a09
xmp.iid:eb880806-0069-4bd0-9912-78702b5c52ef
/Users/petehonda/Documents/Work Files/DAON/INFOGRAPHICS/Top Biometrics Predictions/Artwork/Yellow bar-2.psd
adobe:docid:photoshop:ad573f81-cb52-7f48-88ee-59f979d0d3a1
xmp.iid:814020e8-0c96-4408-a936-02b200cf6b1a
/Users/petehonda/Documents/Work Files/DAON/INFOGRAPHICS/Top Biometrics Predictions/Artwork/Green bar-2.psd
adobe:docid:photoshop:3be9fc87-bb16-9c4e-9b1d-2656b9ec0e26
xmp.iid:ccacf112-c345-4de6-8bd3-7aa3bcd38a14
/Users/petehonda/Documents/Work Files/DAON/INFOGRAPHICS/Top Biometrics Predictions/Artwork/Pink bar-2.psd
adobe:docid:photoshop:3da2fa0e-b160-6d42-a684-f57dab8136ee
xmp.iid:e9deb860-fcd6-475c-845d-edd9e3c1092c
/Users/petehonda/Documents/Work Files/DAON/INFOGRAPHICS/Top Biometrics Predictions/Artwork/Blue bar-2.psd
adobe:docid:photoshop:d91466ce-6046-0745-864f-94f5f45b4a82
xmp.iid:6bd2d17a-77cf-45e9-b27b-008be716b10e
/Users/petehonda/Documents/Work Files/DAON/INFOGRAPHICS/Top Biometrics Predictions/Artwork/Grey bar-2.psd
adobe:docid:photoshop:8b2dc3c4-2e96-8b45-96b2-0b5668e35a09
xmp.iid:eb880806-0069-4bd0-9912-78702b5c52ef
Print
Adobe Illustrator
False
True
1
1000.000000
2468.790261
Pixels
Barlow-Light
Barlow
Light
TrueType
Version 1.408
False
Barlow-Light.ttf
Barlow-Regular
Barlow
Regular
TrueType
Version 1.408
False
Barlow-Regular.ttf
Barlow-Medium
Barlow
Medium
TrueType
Version 1.408
False
Barlow-Medium.ttf
Barlow-Bold
Barlow
Bold
TrueType
Version 1.408
False
Barlow-Bold.ttf
Barlow-ExtraBold
Barlow
ExtraBold
TrueType
Version 1.408
False
Barlow-ExtraBold.ttf
Cyan
Magenta
Yellow
Black
Default Swatch Group
0
White
RGB
PROCESS
255
255
255
Black
RGB
PROCESS
35
31
32
CMYK Red
RGB
PROCESS
237
28
36
CMYK Yellow
RGB
PROCESS
255
242
0
CMYK Green
RGB
PROCESS
0
166
81
CMYK Cyan
RGB
PROCESS
0
174
239
CMYK Blue
RGB
PROCESS
46
49
146
CMYK Magenta
RGB
PROCESS
236
0
140
C=15 M=100 Y=90 K=10
RGB
PROCESS
190
30
45
C=0 M=90 Y=85 K=0
RGB
PROCESS
239
65
54
C=0 M=80 Y=95 K=0
RGB
PROCESS
241
90
41
C=0 M=50 Y=100 K=0
RGB
PROCESS
247
148
29
C=0 M=35 Y=85 K=0
RGB
PROCESS
251
176
64
C=5 M=0 Y=90 K=0
RGB
PROCESS
249
237
50
C=20 M=0 Y=100 K=0
RGB
PROCESS
215
223
35
C=50 M=0 Y=100 K=0
RGB
PROCESS
141
198
63
C=75 M=0 Y=100 K=0
RGB
PROCESS
57
181
74
C=85 M=10 Y=100 K=10
RGB
PROCESS
0
148
68
C=90 M=30 Y=95 K=30
RGB
PROCESS
0
104
56
C=75 M=0 Y=75 K=0
RGB
PROCESS
43
182
115
C=80 M=10 Y=45 K=0
RGB
PROCESS
0
167
157
C=70 M=15 Y=0 K=0
RGB
PROCESS
39
170
225
C=85 M=50 Y=0 K=0
RGB
PROCESS
28
117
188
C=100 M=95 Y=5 K=0
RGB
PROCESS
43
57
144
C=100 M=100 Y=25 K=25
RGB
PROCESS
38
34
98
C=75 M=100 Y=0 K=0
RGB
PROCESS
102
45
145
C=50 M=100 Y=0 K=0
RGB
PROCESS
146
39
143
C=35 M=100 Y=35 K=10
RGB
PROCESS
158
31
99
C=10 M=100 Y=50 K=0
RGB
PROCESS
218
28
92
C=0 M=95 Y=20 K=0
RGB
PROCESS
238
42
123
C=25 M=25 Y=40 K=0
RGB
PROCESS
194
181
155
C=40 M=45 Y=50 K=5
RGB
PROCESS
155
133
121
C=50 M=50 Y=60 K=25
RGB
PROCESS
114
102
88
C=55 M=60 Y=65 K=40
RGB
PROCESS
89
74
66
C=25 M=40 Y=65 K=0
RGB
PROCESS
196
154
108
C=30 M=50 Y=75 K=10
RGB
PROCESS
169
124
80
C=35 M=60 Y=80 K=25
RGB
PROCESS
139
94
60
C=40 M=65 Y=90 K=35
RGB
PROCESS
117
76
41
C=40 M=70 Y=100 K=50
RGB
PROCESS
96
57
19
C=50 M=70 Y=80 K=70
RGB
PROCESS
60
36
21
PANTONE 299 C
SPOT
100.000000
LAB
60.784313
-24
-44
Daon-Blue
PROCESS
100.000000
RGB
59
189
255
Daon Yellow
PROCESS
100.000000
RGB
253
187
47
Daon-Orange
PROCESS
100.000000
RGB
249
97
0
Daon-Pink
PROCESS
100.000000
RGB
251
143
139
Daon-Green
PROCESS
100.000000
RGB
107
217
137
Daon-Black
PROCESS
100.000000
RGB
31
31
31
Black
PROCESS
100.000000
RGB
0
0
0
Daon-Grey
PROCESS
100.000000
RGB
191
191
191
Daon-Dark Grey
PROCESS
100.000000
RGB
55
55
55
Grays
1
C=0 M=0 Y=0 K=100
RGB
PROCESS
35
31
32
C=0 M=0 Y=0 K=90
RGB
PROCESS
65
64
66
C=0 M=0 Y=0 K=80
RGB
PROCESS
88
89
91
C=0 M=0 Y=0 K=70
RGB
PROCESS
109
110
113
C=0 M=0 Y=0 K=60
RGB
PROCESS
128
130
133
C=0 M=0 Y=0 K=50
RGB
PROCESS
147
149
152
C=0 M=0 Y=0 K=40
RGB
PROCESS
167
169
172
C=0 M=0 Y=0 K=30
RGB
PROCESS
188
190
192
C=0 M=0 Y=0 K=20
RGB
PROCESS
209
211
212
C=0 M=0 Y=0 K=10
RGB
PROCESS
230
231
232
C=0 M=0 Y=0 K=5
RGB
PROCESS
241
242
242
Brights
1
C=0 M=100 Y=100 K=0
RGB
PROCESS
237
28
36
C=0 M=75 Y=100 K=0
RGB
PROCESS
242
101
34
C=0 M=10 Y=95 K=0
RGB
PROCESS
255
222
23
C=85 M=10 Y=100 K=0
RGB
PROCESS
0
161
75
C=100 M=90 Y=0 K=0
RGB
PROCESS
33
64
154
C=60 M=90 Y=0 K=0
RGB
PROCESS
127
63
152
Adobe PDF library 16.03
endstream
endobj
12 0 obj
<>
endobj
13 0 obj
[12 0 R]
endobj
15 0 obj
<>stream
HtWI$+MҝU= :
i.5#ef
*OߏooG9~߭Rx]g?Go涎ܾr߿ADĮDC'j}L(>gew~Wڇӛ/x(ClZ}ȋ,@Ι@뭜{7=+ߎp{t4;WNgHpp0+Ct[Hv[|qGpaaˎ@NZ
4@/e1*1Ъt+xH|֧xK=U^?+̕v a"TFԁiqTYLۧw@##m *u81.vnMFuj=5E!yMs꘣~"Ac2N|WeH#Cjv8ˢ]H*cg[`;ګ;}Raq]3 ^"6Ta"9JYx4CJV/&Č, ]DfIHȔ6U:KTƊK 'p=
oI,x0!XwS_ Vu/ʛ.
½wC"=n3_WKA= YzGV!p˥ z #)RN["]InE
4F9GH94g+F,(4cM1hNZcN[`֞v)q_6m|f<$di:wеD7#
90,krtyIA.U> A^.m[pR7FUSw`J.(tdWlL%84qd=^/7LNA#\.ߐP,;^.8RxGmLŧ9C43az^W̓ΛEض(jn͔gu}x/?y&b
"v!0;V+Jf~LM$lCR+v
7z"ZhsA:IG&㨆t U"%A,Xf&\{(jI65q?\Qr;|kHey@;}F'ݞ\ !U5T4
^eɿ$QBJa@&fFtl{4CDr,ϗ_-`--:P^6OI7M+2 1JFswvi Rk6pLAq)윉{]0;')| .m6_}\ƘAJpz
lAdX\gI7mL*8`/'wIbuE
2$sr9/>L~=hڞ iZM..'7ur;el%(|]K`kl^C]ПX6_
qYGVNﺚt<[`%+|U/?`͇-q!f5qq0Gq/94~A2a)t-0\%Z+eQf*vE r,q?*ns00ee\&z X~u֤JbsYGNch5eu_jJ@
ubmc;}`;ct<l[B~lIfXcleZMV<
u}mᢥiAJ^l̍L0_ޢC4baFP/oE%kD8#TEq3aSs' n&C`j@ujt";_3
s=w,1j}pqQ' Ob}S!f"UmH'=8J/{20aC$6Td^i:1ɯR'#[Ci1+xe'1YzP)<f4WN6V͎ͨC -cb#Pj6_"MGl>ޣ P36A>MPⱯ@ӊ'YXb( ED--U7n{t|%䗅p4
u'{/xq#.mZ,5ttƤ!2>Z5bAlnHo.c8,5Kx`ObU4ww"(@&*%{<(^58(dq1o&ƶE鮖ݶ#WU@.#0eHV ``e[ ea$9}9}I
]]*&2MWaJTU ̞_$D!
p\4?hN`fd!)O*B%E55 '2/q1 fxۡ>F!Z}dec]LIm42cG<*j$S,ҡAA[ )'!Lyi9+uUnU+ 8Y-DKd`f
}?#YFE(|!Dwi]<
1inxJ:%Q!rFM>bfC.RZFȚhl !$VGjPs:MF(k;o8%F k%"nQHbG%&-+a/9hg HHõpC$P6e:cb$)hYQ.&
X4?քid}UqsX-%@tFM~^-ntj |5HIM%`sűQIFzV =W(Vnp)'2Y9]N+w=N[)uFIzDf*.ifѭ"i,%&F=z4ZUͦx$*9Z ̰Vqw:LL>.C62XTɑºC1QCBg6#Tѹ2tNDcS=2ƾ:u`A5>MH{5_gʲnJ}P 6VJ s!&0
d@A*G'hDz1?
jI[M= ăB693x/lBGn⧛hqZml39rquц9
y댆\O.$VcеAo B8cW\J.#jHKGVfq(aWqmjKďIMvxLimMͥ1 `/ *z4$EF\OW7'r}\ٲ%'kX-w_F};{ !ڹwF^P}vu}.Y>〯ʍl;CϘB}C
SJ<m>"yWyL
xM-7諦 J0oK˷Ɂg Uվ%`[kH~ICN_cP@xiIa?n~>ڲC./Ǜapܥe?7'lî.ۧ]Y[~_TۛQo_Wu˧qy2NIa]$c#>ק$]L8?MvUrxZv29MfvD
y5\u0З\}wuvлC'D>yļ2ٚ?%"eF*fGvH
n,=\Җ9>5_g!*>x7)T@UEd'=9-|dA4D2J}s{gyz=>.Y~}pZuEߘ{>qZCsSyysG