All language subtitles for 2. Xelek

af Afrikaans
ak Akan
sq Albanian
am Amharic
ar Arabic Download
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bem Bemba
bn Bengali
bh Bihari
bs Bosnian
br Breton
bg Bulgarian
km Cambodian
ca Catalan
ceb Cebuano
chr Cherokee
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English
eo Esperanto
et Estonian
ee Ewe
fo Faroese
tl Filipino
fi Finnish
fr French
fy Frisian
gaa Ga
gl Galician
ka Georgian
de German
el Greek
gn Guarani
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ia Interlingua
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
rw Kinyarwanda
rn Kirundi
kg Kongo
ko Korean
kri Krio (Sierra Leone)
ku Kurdish
ckb Kurdish (Soranî)
ky Kyrgyz
lo Laothian
la Latin
lv Latvian
ln Lingala
lt Lithuanian
loz Lozi
lg Luganda
ach Luo
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mfe Mauritian Creole
mo Moldavian
mn Mongolian
my Myanmar (Burmese)
sr-ME Montenegrin
ne Nepali
pcm Nigerian Pidgin
nso Northern Sotho
no Norwegian
nn Norwegian (Nynorsk)
oc Occitan
or Oriya
om Oromo
ps Pashto
fa Persian
pl Polish
pt-BR Portuguese (Brazil)
pt Portuguese (Portugal)
pa Punjabi
qu Quechua
ro Romanian
rm Romansh
nyn Runyakitara
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
sh Serbo-Croatian
st Sesotho
tn Setswana
crs Seychellois Creole
sn Shona
sd Sindhi
si Sinhalese
sk Slovak
sl Slovenian
so Somali
es Spanish
es-419 Spanish (Latin American)
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
tt Tatar
te Telugu
th Thai
ti Tigrinya
to Tonga
lua Tshiluba
tum Tumbuka
tr Turkish
tk Turkmen
tw Twi
ug Uighur
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
wo Wolof
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,600 --> 00:00:03,190 In this video, we're taking a look at the website, Zelig. 2 00:00:03,210 --> 00:00:06,330 It can be found at XLE x dot com. 3 00:00:07,320 --> 00:00:17,100 Now, Zoellick's is a free people search database, much, much like PYPL or spoko or any number of 4 00:00:17,100 --> 00:00:18,510 other systems. 5 00:00:18,540 --> 00:00:21,870 However, Zoellick is also free now. 6 00:00:21,870 --> 00:00:25,920 If you're coming back and reviewing the course, this may look familiar. 7 00:00:26,190 --> 00:00:33,930 This site used to be called Cube, but now it's branded as Zelig, so it's a resource to search millions 8 00:00:33,930 --> 00:00:36,990 of online data records for free, which makes it pretty handy. 9 00:00:37,380 --> 00:00:40,920 Now, this is going to be another U.S. based tool. 10 00:00:42,240 --> 00:00:46,380 But if you're searching for anyone in the United States, this can be incredibly handy tool. 11 00:00:46,950 --> 00:00:51,450 Again, it is free, so we're not paying to access a database. 12 00:00:52,110 --> 00:00:56,550 We're not going through data breaches or whatnot. 13 00:00:56,560 --> 00:01:00,030 This is a free public data search, so anyone could actually use this. 14 00:01:00,570 --> 00:01:02,580 So let's take a look now. 15 00:01:02,590 --> 00:01:03,720 I put a generic name in. 16 00:01:03,720 --> 00:01:08,280 I put John Lee in California, so this should come up with quite a number of users. 17 00:01:08,280 --> 00:01:14,460 It's not anyone I'm particularly searching for specifically, but I decided to choose a pretty generic 18 00:01:14,460 --> 00:01:14,880 name. 19 00:01:15,600 --> 00:01:21,780 So once you have it in there and you can click the down arrow and choose any any number of states here, 20 00:01:22,410 --> 00:01:23,760 you can click Get Started. 21 00:01:25,430 --> 00:01:31,670 And it comes back with a number of records right off the bat, so they found 60 people, we could take 22 00:01:31,670 --> 00:01:32,030 a look. 23 00:01:33,110 --> 00:01:34,880 We could see the person's name. 24 00:01:34,880 --> 00:01:36,800 We could see their age, their location. 25 00:01:37,310 --> 00:01:43,460 We could see their with their addresses or at least what it thinks are current addresses, phone numbers, 26 00:01:43,460 --> 00:01:48,650 email addresses, postal relatives, previous addresses, email addresses. 27 00:01:49,280 --> 00:01:54,830 All this is really handy because if we're doing a search on someone, if we're trying to track slowing 28 00:01:54,830 --> 00:01:59,600 down, having all this prior information and current information, things like, well, they used to 29 00:01:59,600 --> 00:02:01,670 live here, I could start checking out that address. 30 00:02:02,240 --> 00:02:03,860 These are their possible relatives. 31 00:02:03,860 --> 00:02:05,600 I could take a look at these relatives. 32 00:02:06,440 --> 00:02:11,300 I can check the relatives social media accounts, see if they talk about the person I'm looking for, 33 00:02:11,960 --> 00:02:16,040 or possibly people that they know or related or might go to. 34 00:02:17,410 --> 00:02:24,820 Email addresses, combined with email addresses at this person probably has or had I could start doing 35 00:02:24,820 --> 00:02:28,690 database searches against those email addresses to see what those e-mail addresses are tied to, is 36 00:02:28,690 --> 00:02:30,280 it tied to Facebook? 37 00:02:30,280 --> 00:02:31,360 Is it tied or old? 38 00:02:31,750 --> 00:02:36,790 LinkedIn profile, old Twitter account or whatnot? 39 00:02:37,270 --> 00:02:40,420 So again, really handy to be able to do this. 40 00:02:40,780 --> 00:02:44,800 So if I keep scrolling down in here, we could see the various records here. 41 00:02:44,950 --> 00:02:48,100 This one actually has some associated businesses. 42 00:02:49,240 --> 00:02:51,760 More alternate email addresses. 43 00:02:53,810 --> 00:02:57,140 And so on and so on, so let me scroll back up again here. 44 00:02:59,120 --> 00:03:01,230 And we could do things like marketing data. 45 00:03:01,270 --> 00:03:05,960 Let's we can start isolating things down and well, let's click marketing data and see what it found. 46 00:03:06,560 --> 00:03:14,790 So marketing data they found address, phone number, gender date of birth, time zone as it were. 47 00:03:15,320 --> 00:03:19,410 Lines of credit roof credit range. 48 00:03:19,460 --> 00:03:20,950 What language they speak. 49 00:03:20,960 --> 00:03:23,570 Ethnic group education level. 50 00:03:23,570 --> 00:03:26,060 So that's again, that's quite a bit of information here. 51 00:03:26,060 --> 00:03:32,480 We can do vehicle sales, data registration, who is records, voter registration court records. 52 00:03:34,290 --> 00:03:39,600 So if we're doing a background check to see if someone had a possible criminal background, we could 53 00:03:39,600 --> 00:03:43,140 take a look at public campaign contributions. 54 00:03:43,560 --> 00:03:51,000 If we're looking for political information on people or just getting a broader picture about someone 55 00:03:51,360 --> 00:03:57,540 applications, court records again, business registration records, things like that of that nature. 56 00:03:57,990 --> 00:04:05,250 So if we're doing business registration records, we could see either this person's registered to Silver 57 00:04:05,250 --> 00:04:06,300 Spray Pharmacy Inc. 58 00:04:06,690 --> 00:04:12,570 So I can potentially take that name, put it in the California database to find out more about that 59 00:04:12,570 --> 00:04:13,020 business. 60 00:04:13,020 --> 00:04:13,650 Is it active? 61 00:04:13,650 --> 00:04:14,790 Is it inactive? 62 00:04:15,450 --> 00:04:18,030 Who are the people associated with that business? 63 00:04:19,110 --> 00:04:19,980 Things like that. 64 00:04:21,580 --> 00:04:27,570 So again, a pretty, pretty useful website, a lot of great information, and again, you're not paying 65 00:04:27,580 --> 00:04:31,450 it being a fee for this stuff, but. 66 00:04:32,700 --> 00:04:37,710 Just like any other people, search site information in here, you do want to vet it. 67 00:04:37,740 --> 00:04:40,830 I do recommend that you vet any information that you're grabbing from here. 68 00:04:42,640 --> 00:04:48,040 The information may be right, it may not be right, so again, you know, you should do your due diligence 69 00:04:48,040 --> 00:04:52,930 and double check that information, make sure that the information that you're there, your point is 70 00:04:52,930 --> 00:04:53,500 accurate. 71 00:04:54,310 --> 00:05:00,460 And again, it may take that extra time to do that, but it's far better to catch that early than to 72 00:05:00,460 --> 00:05:01,360 pull this information. 73 00:05:01,480 --> 00:05:08,320 Well, this person has a criminal record, and there were arrests in this state on this date and present 74 00:05:08,320 --> 00:05:08,730 it so. 75 00:05:08,860 --> 00:05:14,050 And find out that information was false and it was actually, well, the database had it wrong and actually 76 00:05:14,050 --> 00:05:17,890 wasn't this person someone with the same name from a different state? 77 00:05:18,790 --> 00:05:24,260 So to save yourself the embarrassment, to save yourself all that trouble, you do want to again vet 78 00:05:24,260 --> 00:05:28,570 the information that includes everything, things like, Well, I have a address here. 79 00:05:28,570 --> 00:05:29,890 Is that really their address? 80 00:05:30,160 --> 00:05:32,680 Put in another search site, another database. 81 00:05:33,700 --> 00:05:39,430 And it may come up with the same information they may be pulling from another data, the same database, 82 00:05:39,430 --> 00:05:44,530 but at least you're doing some due diligence to try to match up that information to make sure it's accurate. 83 00:05:45,830 --> 00:05:47,390 So again, this is delicate. 84 00:05:48,450 --> 00:05:56,160 XLE caked calm, and it's a free sight to do people searches in the United States again. 85 00:05:56,490 --> 00:05:58,150 It's a pretty cool tool. 86 00:05:58,170 --> 00:05:59,910 I do recommend checking it out at least. 87 00:06:00,690 --> 00:06:04,740 It's free, no registration required and pretty useful resource. 88 00:06:05,070 --> 00:06:05,880 Thanks for watching. 89 00:06:05,910 --> 00:06:06,870 I'll see you next VIDEO. 8783

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.