1 00:00:00,140 --> 00:00:02,210 In this lecture I would like to show you. 2 00:00:02,210 --> 00:00:05,360 How can you find someone's name origin. 3 00:00:05,960 --> 00:00:12,860 There are names that are specific to certain regions or countries, which can provide clues about a 4 00:00:12,860 --> 00:00:16,100 person's geographic origin or location. 5 00:00:16,130 --> 00:00:23,450 Now, if you found the person's geographic origin, let's say that the name John Smith is commonly used 6 00:00:23,450 --> 00:00:24,920 in the United States. 7 00:00:24,950 --> 00:00:31,580 That does not mean that this person is living in the United States right now, but it only gives you 8 00:00:31,580 --> 00:00:38,930 an idea that this person is from United States, or his parents were from United States, and he might 9 00:00:38,960 --> 00:00:42,740 or might not be living in the United States right now. 10 00:00:43,040 --> 00:00:50,330 There are many cases in which you only have a first and last name, and finding the person's name origin 11 00:00:50,330 --> 00:00:53,030 might help you to narrow down your search. 12 00:00:53,570 --> 00:00:58,880 So the first website that I would like to show you is called FamilySearch.org. 13 00:00:58,910 --> 00:01:01,820 You'll find the link in the resources of this lecture. 14 00:01:01,910 --> 00:01:05,610 All you have to do is to specify the first and last name. 15 00:01:05,640 --> 00:01:14,070 Now, before we use this website, I would like to tell you that this website has a database of US citizens. 16 00:01:14,070 --> 00:01:20,490 So if you were to search for someone who lives in Turkey, you might not be able to find him on this 17 00:01:20,490 --> 00:01:21,120 website. 18 00:01:21,120 --> 00:01:23,040 And let me show you an example. 19 00:01:23,040 --> 00:01:25,860 For now, I'm just going to search for Rishi Kabra. 20 00:01:25,860 --> 00:01:30,450 So I'm going to say that the first name is Rishi and the last name is Kabra. 21 00:01:30,450 --> 00:01:32,550 And then I'm going to say search. 22 00:01:34,140 --> 00:01:40,710 And as you can see we've got a search result of someone called Rishi Kabra and the source is from a 23 00:01:40,740 --> 00:01:45,960 US public records that are from 1970 to 2009. 24 00:01:45,990 --> 00:01:50,070 We can see where this person lived and his date of birth. 25 00:01:50,550 --> 00:01:55,800 Now we already know that Rishi covered that we are looking for is not from the United States and he 26 00:01:55,830 --> 00:01:57,510 is not a US citizen. 27 00:01:57,810 --> 00:02:04,020 But if you go to last name information you are going to see some guesses. 28 00:02:04,020 --> 00:02:05,760 So let me scroll down. 29 00:02:05,790 --> 00:02:12,630 We can see that the name Cobra is most likely found in India, Hungary and Germany. 30 00:02:12,990 --> 00:02:17,490 And this information based on the database that family tree has. 31 00:02:17,490 --> 00:02:25,980 So it has three people that are from India with the name Cobra and two from Hungary and two from Germany. 32 00:02:26,100 --> 00:02:31,920 So I always like to use more than one website to make sure that the information that I found on the 33 00:02:31,920 --> 00:02:34,140 first website are accurate. 34 00:02:34,890 --> 00:02:40,800 So the second website that I like to use, which I think is more accurate than Family Tree is called 35 00:02:40,800 --> 00:02:42,210 names or. 36 00:02:42,930 --> 00:02:49,380 So I'm just going to add the first and last name and then say Analyze Name. 37 00:02:49,590 --> 00:02:51,480 And then I will solve the captcha. 38 00:02:52,740 --> 00:02:59,010 So as you can see this name is coming from Asia and it is probably from India. 39 00:02:59,010 --> 00:03:02,010 We can see 76% probability. 40 00:03:02,130 --> 00:03:04,530 And we can also see an alternative country. 41 00:03:04,530 --> 00:03:09,000 So if he wasn't from India then he might be from Sri Lanka. 42 00:03:09,030 --> 00:03:10,650 So you want to keep this in mind. 43 00:03:11,010 --> 00:03:17,770 I can also scroll down And see in which countries this name could be. 44 00:03:17,770 --> 00:03:22,840 So we can see that the first option in India, the second one is Sri Lanka, etc.. 45 00:03:23,590 --> 00:03:26,020 And we can also see here the probability. 46 00:03:26,020 --> 00:03:30,250 So if he wasn't from India then he has to be from Sri Lanka. 47 00:03:30,250 --> 00:03:35,470 And I think that this website is more accurate than the previous one because it also shows you some 48 00:03:35,470 --> 00:03:36,580 alternative countries. 49 00:03:36,580 --> 00:03:41,890 We can see that we didn't find Germany or Hungary in search results. 50 00:03:42,760 --> 00:03:48,490 So the next time you want to search for a name and then you have identified that this name is coming 51 00:03:48,490 --> 00:03:53,020 from India, for example, you can use the method that I've talked about in the previous lecture. 52 00:03:53,020 --> 00:03:57,340 You can put the name into quotation marks and then say India. 53 00:03:57,940 --> 00:04:04,360 And this will search for the name Rishi Kabra and the search term India, which will show us fewer search 54 00:04:04,360 --> 00:04:05,200 results. 55 00:04:05,920 --> 00:04:12,730 So in this lecture you have learned how can you identify where the name is commonly used and use this 56 00:04:12,730 --> 00:04:18,610 information to narrow down search results when you are searching for the person on search engines.