United Kingdom: BBC News Persian

20261010 05:00 UTC · 00:31:02 · 428 transcript segments · GDELT Visual Explorer · plain-text transcript · Event Map

Film strip

One frame every 4 seconds, 466 in all. Click a frame to jump the transcript to that moment, or click a line of the transcript to see what was on screen while it was said. Served from apprised.news, so it loads behind proxies that block Google Cloud Storage.

00:00:00
00:00:04
00:00:08
00:00:12
00:00:16
00:00:20
00:00:24
00:00:28
00:00:32
00:00:36
00:00:40
00:00:44
00:00:48
00:00:52
00:00:56
00:01:00
00:01:04
00:01:08
00:01:12
00:01:16
00:01:20
00:01:24
00:01:28
00:01:32
00:01:36
00:01:40
00:01:44
00:01:48
00:01:52
00:01:56
00:02:00
00:02:04
00:02:08
00:02:12
00:02:16
00:02:20
00:02:24
00:02:28
00:02:32
00:02:36
00:02:40
00:02:44
00:02:48
00:02:52
00:02:56
00:03:00
00:03:04
00:03:08
00:03:12
00:03:16
00:03:20
00:03:24
00:03:28
00:03:32
00:03:36
00:03:40
00:03:44
00:03:48
00:03:52
00:03:56
00:04:00
00:04:04
00:04:08
00:04:12
00:04:16
00:04:20
00:04:24
00:04:28
00:04:32
00:04:36
00:04:40
00:04:44
00:04:48
00:04:52
00:04:56
00:05:00
00:05:04
00:05:08
00:05:12
00:05:16
00:05:20
00:05:24
00:05:28
00:05:32
00:05:36
00:05:40
00:05:44
00:05:48
00:05:52
00:05:56
00:06:00
00:06:04
00:06:08
00:06:12
00:06:16
00:06:20
00:06:24
00:06:28
00:06:32
00:06:36
00:06:40
00:06:44
00:06:48
00:06:52
00:06:56
00:07:00
00:07:04
00:07:08
00:07:12
00:07:16
00:07:20
00:07:24
00:07:28
00:07:32
00:07:36
00:07:40
00:07:44
00:07:48
00:07:52
00:07:56
00:08:00
00:08:04
00:08:08
00:08:12
00:08:16
00:08:20
00:08:24
00:08:28
00:08:32
00:08:36
00:08:40
00:08:44
00:08:48
00:08:52
00:08:56
00:09:00
00:09:04
00:09:08
00:09:12
00:09:16
00:09:20
00:09:24
00:09:28
00:09:32
00:09:36
00:09:40
00:09:44
00:09:48
00:09:52
00:09:56
00:10:00
00:10:04
00:10:08
00:10:12
00:10:16
00:10:20
00:10:24
00:10:28
00:10:32
00:10:36
00:10:40
00:10:44
00:10:48
00:10:52
00:10:56
00:11:00
00:11:04
00:11:08
00:11:12
00:11:16
00:11:20
00:11:24
00:11:28
00:11:32
00:11:36
00:11:40
00:11:44
00:11:48
00:11:52
00:11:56
00:12:00
00:12:04
00:12:08
00:12:12
00:12:16
00:12:20
00:12:24
00:12:28
00:12:32
00:12:36
00:12:40
00:12:44
00:12:48
00:12:52
00:12:56
00:13:00
00:13:04
00:13:08
00:13:12
00:13:16
00:13:20
00:13:24
00:13:28
00:13:32
00:13:36
00:13:40
00:13:44
00:13:48
00:13:52
00:13:56
00:14:00
00:14:04
00:14:08
00:14:12
00:14:16
00:14:20
00:14:24
00:14:28
00:14:32
00:14:36
00:14:40
00:14:44
00:14:48
00:14:52
00:14:56
00:15:00
00:15:04
00:15:08
00:15:12
00:15:16
00:15:20
00:15:24
00:15:28
00:15:32
00:15:36
00:15:40
00:15:44
00:15:48
00:15:52
00:15:56
00:16:00
00:16:04
00:16:08
00:16:12
00:16:16
00:16:20
00:16:24
00:16:28
00:16:32
00:16:36
00:16:40
00:16:44
00:16:48
00:16:52
00:16:56
00:17:00
00:17:04
00:17:08
00:17:12
00:17:16
00:17:20
00:17:24
00:17:28
00:17:32
00:17:36
00:17:40
00:17:44
00:17:48
00:17:52
00:17:56
00:18:00
00:18:04
00:18:08
00:18:12
00:18:16
00:18:20
00:18:24
00:18:28
00:18:32
00:18:36
00:18:40
00:18:44
00:18:48
00:18:52
00:18:56
00:19:00
00:19:04
00:19:08
00:19:12
00:19:16
00:19:20
00:19:24
00:19:28
00:19:32
00:19:36
00:19:40
00:19:44
00:19:48
00:19:52
00:19:56
00:20:00
00:20:04
00:20:08
00:20:12
00:20:16
00:20:20
00:20:24
00:20:28
00:20:32
00:20:36
00:20:40
00:20:44
00:20:48
00:20:52
00:20:56
00:21:00
00:21:04
00:21:08
00:21:12
00:21:16
00:21:20
00:21:24
00:21:28
00:21:32
00:21:36
00:21:40
00:21:44
00:21:48
00:21:52
00:21:56
00:22:00
00:22:04
00:22:08
00:22:12
00:22:16
00:22:20
00:22:24
00:22:28
00:22:32
00:22:36
00:22:40
00:22:44
00:22:48
00:22:52
00:22:56
00:23:00
00:23:04
00:23:08
00:23:12
00:23:16
00:23:20
00:23:24
00:23:28
00:23:32
00:23:36
00:23:40
00:23:44
00:23:48
00:23:52
00:23:56
00:24:00
00:24:04
00:24:08
00:24:12
00:24:16
00:24:20
00:24:24
00:24:28
00:24:32
00:24:36
00:24:40
00:24:44
00:24:48
00:24:52
00:24:56
00:25:00
00:25:04
00:25:08
00:25:12
00:25:16
00:25:20
00:25:24
00:25:28
00:25:32
00:25:36
00:25:40
00:25:44
00:25:48
00:25:52
00:25:56
00:26:00
00:26:04
00:26:08
00:26:12
00:26:16
00:26:20
00:26:24
00:26:28
00:26:32
00:26:36
00:26:40
00:26:44
00:26:48
00:26:52
00:26:56
00:27:00
00:27:04
00:27:08
00:27:12
00:27:16
00:27:20
00:27:24
00:27:28
00:27:32
00:27:36
00:27:40
00:27:44
00:27:48
00:27:52
00:27:56
00:28:00
00:28:04
00:28:08
00:28:12
00:28:16
00:28:20
00:28:24
00:28:28
00:28:32
00:28:36
00:28:40
00:28:44
00:28:48
00:28:52
00:28:56
00:29:00
00:29:04
00:29:08
00:29:12
00:29:16
00:29:20
00:29:24
00:29:28
00:29:32
00:29:36
00:29:40
00:29:44
00:29:48
00:29:52
00:29:56
00:30:00
00:30:04
00:30:08
00:30:12
00:30:16
00:30:20
00:30:24
00:30:28
00:30:32
00:30:36
00:30:40
00:30:44
00:30:48
00:30:52
00:30:56
00:31:00

Transcript

Google Cloud Speech-to-Text API (Chirp) + Gemini 2.5 Flash Non-Thinking. Treat it as a searchable index of what was broadcast, not a quotation record.

00:00:30How can they achieve victory
00:00:32in Texas?
00:00:39Welcome to the ABCs of the US elections, a BBC Persian podcast.
00:00:43I'm Sameh Farzaneh.
00:00:46The system of government in the US is representative
00:00:50democracy or electoral populism,
00:00:53or something similar to that.
00:00:56This means that people themselves are responsible
00:01:00However, since it's practically impossible for everyone to express their opinions
00:01:04on everything and vote,
00:01:07they elect representatives
00:01:10to carry out decision-making
00:01:13in various capacities.
00:01:16The legitimacy of these individuals,
00:01:19these politicians, comes from the votes
00:01:23people give them, saying, "Madam/Sir, now go to the
00:01:27village council, be the mayor,
00:01:30be a member of parliament, the state legislature,
00:01:32the Senate, or the President, and
00:01:36do these things for us."
00:01:39Now, let's think of a situation where,
00:01:42instead of people choosing politicians, it's the politicians
00:01:46who choose the people
00:01:50they are going to represent.
00:01:53This creates a strange
00:01:56situation, and it's interesting
00:01:59that in American elections, this issue
00:02:02happens quite often, they even have a word
00:02:06for it: gerrymandering. Remember, our plan was that
00:02:09in each program, we would discuss
00:02:13something as a question
00:02:16at the beginning, and then answer it later. It's not
00:02:20a very important thing, but it's interesting to know.
00:02:23This time, let's think about
00:02:27the etymology of gerrymandering. What is it? Where
00:02:31did it come from? We'll talk about it at the end
00:02:34of the program. Leyla Khodabakhshi, one of the BBC
00:02:38English correspondents who works in the US, is with us.
00:02:42Leyla, you've worked on this very gerrymandering issue,
00:02:46you know about it.
00:02:48Let's talk a little about what gerrymandering is.
00:02:52First, a brief explanation
00:02:54from me: we have electoral
00:02:57districts in Congress.
00:03:03In the Senate, it doesn't make sense because
00:03:07senators represent the entire state.
00:03:11But gerrymandering becomes important in the House of Representatives,
00:03:14right? Gerrymandering,
00:03:18in fact, means manipulating
00:03:20the boundaries of electoral districts
00:03:24so that the outcome of the vote benefits
00:03:27one political group. It's a bit complicated;
00:03:30I'll explain it. Imagine that in
00:03:33a state, specifically, for example,
00:03:3740% of voters support the Democratic Party,
00:03:40and 60% support the Republican Party.
00:03:44Depending on how electoral districts are drawn in that
00:03:48state, the number of seats
00:03:51each of these parties wins can
00:03:55change. For example,
00:03:59there are usually two methods.
00:04:01One is to concentrate the supporters of one party
00:04:05in one electoral district. For example, in that
00:04:0940-60 scenario,
00:04:11they might put about 30% of the supporters
00:04:15of, say, the Democratic Party, into one electoral district.
00:04:18In that case, in one district, the Democratic
00:04:21Party wins decisively, but loses
00:04:25in three or four other districts, and as a result,
00:04:29the number of seats it wins is fewer. Another method
00:04:32of gerrymandering is to disperse the supporters of one
00:04:36party so widely that they are in all districts, but their number is so
00:04:40small that they lose. For example, in this case,
00:04:44the supporters of the conservative party, who are 60%,
00:04:47are so dispersed that they are in, say, five or six
00:04:51districts, but with a very small minority,
00:04:54they can't become a majority. They lose with a small minority
00:04:58in those districts. Well, yes. As you said, it only makes sense
00:05:01for the House of Representatives, where in the US,
00:05:05people vote based on the districts
00:05:08they are assigned to. And generally,
00:05:12they don't do this every
00:05:14year; they don't manipulate electoral districts
00:05:18every 10 years. You see, every 10 years,
00:05:22in years like
00:05:23'20, '30, '40,
00:05:26they count the number of people.
00:05:30The 2020 census was the last census
00:05:33conducted in the US. It was expected that this review
00:05:37of electoral districts would take place in 2023.
00:05:41It would be the year after, for example, 2031, because
00:05:44the results won't be out until then. Then, based on
00:05:48the population of each state, Congress determines how many
00:05:51representatives each state can have.
00:05:55Usually, over these 10 years, some states' populations
00:05:58increase or decrease, and the numbers change a little.
00:06:02For example, in 2020, I think Texas gained seats,
00:06:05and California lost some. Then, this is given to the state,
00:06:09saying, "State, you determine how you want to divide
00:06:12these, say, 9, 50 people."
00:06:16And this becomes the responsibility
00:06:20of that state to do this. Right?
00:06:23For example, in the recent disputes from last
00:06:26year to this year, in various
00:06:30states, the Supreme Court has generally not intervened
00:06:33(except for one or two cases) and usually sends it back
00:06:36to the state itself. And as you said, this is because
00:06:40the decennial censuses reveal the population.
00:06:45So that the elections are fair,
00:06:48they review the boundaries of the electoral districts
00:06:51and redefine them from scratch.
00:06:55But well, this is another one of those surprises
00:06:58that happens in the US. This year, they've decided
00:07:02to... Yes, we'll talk about this, but first, let me say that
00:07:06drawing these maps itself is not
00:07:09gerrymandering; it's a duty. You have to draw the map.
00:07:35They decided to do this. What was the reason?
00:07:38In fact, the conservative party, which supports Mr. Trump,
00:07:42has a very fragile majority in the House of Representatives.
00:07:45And in this midterm election that will be held on November
00:07:493rd this year, if they lose a few seats, they will actually lose
00:07:53the majority in the House of Representatives, and then
00:07:56they will have problems with the budget because they don't have the majority
00:08:00for many laws they want to pass, bills that go to Congress will face problems.
00:08:04In addition, the results of many polls that have come
00:08:07out indicate that Mr. Trump's popularity
00:08:10is decreasing. For example, Mr. Trump's popularity
00:08:14has dropped by 30%, but in the end,
00:08:18Mr. Trump started this matter with Texas,
00:08:22and when they started gerrymandering in Texas,
00:08:25they actually manipulated the electoral districts
00:08:28in Texas to reduce the Democrats' seats and increase the Republicans'.
00:08:32Yes, for example, in Texas, they predict that about 5 seats
00:08:36will be added to the supporters
00:08:39of the conservative party due to the manipulation.
00:08:43And well, when this happened in Texas, in California,
00:08:47which is a Democratic state, and Mr.
00:08:50Gavin Newsom, who is their governor, started gerrymandering and
00:08:54manipulating these electoral districts in California, so that in
00:08:57California, about (again, according
00:09:00to predictions) a number of seats will be added to the Democratic
00:09:03supporters in California.
00:09:07And well, this was the beginning of this story, and they started
00:09:11it in all other states as well, for example, in Ohio,
00:09:15in Florida, and Utah, and even
00:09:18Missouri. One of the interesting things that happened in Missouri was that
00:09:22it went back and forth between this court and that court. Now,
00:09:26not now, but about a month ago, I remember some
00:09:29people were saying, "We don't even know what to print on the ballot,
00:09:33whose name should be here?" And they were facing
00:09:36fundamental problems in that state. Let me tell you something interesting.
00:09:40One of these research centers
00:09:42at a university says that out of 435
00:09:46House of Representatives seats, the fate
00:09:49of 352 is already completely decided.
00:09:53Either a Democrat takes it, or a Republican, either because of
00:09:56gerrymandering or because that area simply has
00:10:00a lot of people who support that party.
00:10:03Another think tank
00:10:06found that the fate of 361
00:10:09seats is already decided. And when they say,
00:10:12those who are most likely and very likely, and let's
00:10:16put those aside, the dispute is over 20-30 seats.
00:10:20That is, in such a large country,
00:10:22435 seats
00:10:28determine which party has the upper hand
00:10:31in Congress. Yes, this really goes back to the point
00:10:34you made earlier, which is whether people elect representatives
00:10:38or representatives actually manipulate things in a way,
00:10:42because gerrymandering, in a sense, is not manipulating or changing
00:10:46people's votes, but it changes
00:10:49the outcome of the election and the number of seats
00:10:52each party gets. And one
00:10:56of the biggest criticisms is that it really
00:11:00erodes trust between people
00:11:03and parties. It destroys trust in the election results
00:11:06when electoral districts are manipulated in such a way
00:11:10that the outcome is almost known beforehand.
00:11:13It also significantly reduces competition
00:11:15among political parties, as you pointed
00:11:19out. This competition is eliminated.
00:11:23Many political scientists
00:11:25are concerned, and then they face another problem.
00:11:29You think, who wants to fix this? A member of parliament
00:11:33who came into parliament through this very method wants to fix this?
00:11:36It creates a cycle.
00:11:39Now, I was listening to an interview
00:11:42with one of these political scientists, and he said that it really needs
00:11:46to become a national demand, whether Republican or
00:11:49Democrat, whose vote is broken up this way.
00:11:53He needs to demand this from politicians, and this national demand
00:11:57must take shape so that there are some laws to stop
00:12:00this. Because what happens when we have
00:12:04gerrymandering is that in the elections,
00:12:08the election on November 3rd, or any day in
00:12:11November, doesn't matter anymore.
00:12:14The primaries become important, who within the party
00:12:18we want to bring up. And in internal party elections,
00:12:22for Democrats, it's usually the very leftists.
00:12:25For Republicans, it's usually the very rightists.
00:12:28These are the ones who can win votes. And then, for people who are so far
00:12:32from the center, it becomes very difficult for them to reach a consensus
00:12:35in the middle. That's right. The serious
00:12:39harm of gerrymandering is that
00:12:41you might have a larger
00:12:45absolute number of supporters for a particular
00:12:48party in different states, but ultimately,
00:12:51with this manipulation, the opposite result occurs.
00:12:55The number of representatives for the party with fewer supporters
00:12:58might be higher, and representation for the majority
00:13:02no longer happens. And this is one
00:13:05of the biggest criticisms against it.
00:13:09However, it must be said that gerrymandering is not illegal
00:13:12in the US. In some cases, it could be illegal
00:13:16if, for example, racial minorities were excluded.
00:13:20But with the changes made by the Supreme Court, that is no
00:13:23longer an issue. Thank you very much,
00:13:27Leyla. Leyla Khodabakhshi.
00:13:30But let's return to the first question of the program,
00:13:33which was about the etymology of gerrymandering.
00:13:37This word was coined by a newspaper in the state
00:13:40of Massachusetts, USA,
00:13:44in 1812. The story is that the state
00:13:47of Massachusetts had a governor
00:13:50who later became Vice President. His name was
00:13:54Elbridge Gerry. Mr.
00:13:57Gerry drew a map, actually approved a map
00:14:00for the elections, where an electoral district
00:14:04was created to benefit his own party.
00:14:07And this Massachusetts newspaper
00:14:10imagined that this map, this piece of this
00:14:13electoral district, looked like
00:14:16a salamander, that animal that resembles
00:14:20a lizard. Then they drew a cartoon
00:14:23on this map, making that electoral
00:14:27district look like a salamander
00:14:31with a dragon's head. They also coined
00:14:35a word, putting Gerry next to "salamander,"
00:14:39which means salamander,
00:14:41and thus created the word
00:14:44"gerrymander." Thank you for watching
00:14:48or listening to us. We will be back
00:14:52to talk more about the ins and outs
00:14:55of the US elections. Be well.
00:14:58and happy. This week, on Rang Ahang,
00:15:02we're going to talk about one of the new sounds that has emerged from the combination
00:15:04of Western classical music
00:15:07and Iranian culture. Also, we'll go back to nostalgia and the atmosphere
00:15:10of intimate and small concerts
00:15:13held in people's living rooms. And finally, we'll take a look at the latest
00:15:17work by Abadi, with lyrics by Mullah Ghorzi.
00:15:19So Mr. Paxson is not a very popular
00:15:23person. So we need to consider
00:15:26all three together. But certainly, the first two are more important.
00:15:29That is, the poor state
00:15:32of Republicans in the American political
00:15:36landscape after this war and economic
00:15:39situation, and that this representative,
00:15:43this person the Republicans nominated,
00:15:46has a very bad record.
00:15:50And the third is that Mr.
00:15:53Talarico is also a nominee.
00:15:56If it were not
00:15:59for the first two, Mr. Talarico
00:16:03would not have been able to win in Texas,
00:16:07even if he were Jesus Christ.
00:16:09But when you put these three
00:16:13together, it's what has given the Democrats
00:16:16hope that a storm is brewing,
00:16:19and this storm can, with a small
00:16:23difference, it's hard to imagine
00:16:26Mr. Taleh winning by a large margin.
00:16:30But if he wins, which is still a big
00:16:34if, and millions of dollars are being spent
00:16:37against him by Republicans in advertising,
00:16:41if all of this does not have an
00:16:44effect and he wins, with a very small
00:16:47margin, he can probably
00:16:51break the curse of Texas that has lasted
00:16:55for several decades. Why is Mr. Paxson
00:16:59not popular? There are many reasons,
00:17:02but the most important is that Mr. Paxson,
00:17:06in his capacity as Attorney General
00:17:09of Texas, has been impeached
00:17:13by his own party members.
00:17:17You rarely see a party in the American
00:17:20political space impeach a prominent
00:17:24figure of their own party. That is, the corruption
00:17:26and accusations of corruption must be so severe
00:17:30that they no longer think it is in their interest
00:17:33to defend a person in power.
00:18:08Mr. Paxson is not a very popular
00:18:11person. You have to look at all three together.
00:18:15But certainly, the first two are more important.
00:18:18That is, the poor situation of Republicans in the American
00:18:22political space after this war and economic
00:18:25situation, and that this nominee of the Republicans
00:18:29has a very bad record.
00:18:32And the third is that Mr.
00:18:36Talarico is also a candidate.
00:19:04who usually have a bad relationship with religion in the political
00:19:07sphere. But if those first two weren't
00:19:11there, Mr. Talarico,
00:19:13even if he were Christ himself, probably couldn't win
00:19:17in Texas. But really, when you put these three
00:19:21together, it's what has made Democrats hopeful
00:19:24that a storm is brewing, and this storm can,
00:19:28with a small margin... it's hard to imagine
00:19:31Mr. Telle winning by a large margin. But if he wins,
00:19:35which is still a big if, and millions
00:19:38of dollars are being spent against him in advertising,
00:19:42if all this does not work and he wins,
00:19:45he can probably break the decades-long
00:19:48curse of Texas with a very small margin.
00:19:50Why
00:19:53are Mr. Paxson's problems not popular?
00:19:56There are many, but the most important is that Mr. Paxson,
00:19:59in his capacity as Attorney General
00:20:02of Texas, was impeached by his own party
00:20:06members. You rarely see
00:20:10a party in the American political sphere impeach
00:20:13a prominent figure of its own party. That is, the corruption
00:20:17and accusations of corruption must be so severe
00:20:20that they no longer think it's in their interest
00:20:23to defend a person in power. Serious financial corruption charges,
00:20:27even in the agreement he made
00:20:30to release someone accused of child sexual abuse.
00:20:34And beyond that, there are images of Mr. Paxson,
00:20:38for example, stealing someone's expensive pen,
00:20:41a valuable pen, at the airport.
00:20:44And his entire image is on camera,
00:20:48where he passes through the area where
00:20:51people's belongings are checked, passes through the check machine,
00:20:55and this pen belongs to someone else. It was an expensive
00:20:58pen, a thousand-dollar pen or something, he puts it in his pocket and leaves.
00:21:02And such images, for example, in the Senate
00:21:05elections, have been very much used
00:21:08by Mr. Paxson's opponent, the Democrats,
00:21:12who say, "This man, regardless of his views,
00:21:15is a thief. I don't know,
00:21:19he has come to terms with someone accused of child sexual abuse,
00:21:22and his own party members wanted to impeach him
00:21:26for financial corruption." One of the strange
00:21:29things about Paxson is that Mr.
00:21:31Trump supports him.
00:21:35I've seen him say a few times, "He's not very handsome,
00:21:38not well-dressed, etc. I don't know how
00:21:42he works." For example, what do Mr. Trump's supporters
00:21:46think? What kind of way is this to sell
00:21:50a candidate, to say he doesn't speak well, isn't handsome, isn't well-dressed,
00:21:53but you should still vote for him?
00:21:56Well, first, let's remember that Mr. Trump
00:22:00didn't need to go to Texas for his own election
00:22:04because Texas was already in his favor and he didn't need
00:22:08to motivate voters. But Mr. Paxson's situation
00:22:11is so bad that Mr. Trump has gone to this state a couple of times.
00:22:14But as you say, in his praise of Mr.
00:22:17Paxson, saying to vote for him, he actually
00:22:21attributes some negative qualities to him, like being poorly dressed, or other things
00:22:25he says about him. But in a way,
00:22:29he wants to tell the voters that these flaws
00:22:32that we all know about Mr. Paxson,
00:22:36let's accept them, but still vote for him because there's a more important issue,
00:22:39and that's keeping this seat. Let's remember that psychologically,
00:22:43it's not just about one seat.
00:22:46Republicans' philosophy of governing a state
00:22:50and governing the country,
00:22:54a large part of it, they promote by referring
00:22:57to Texas. They say, "Look how Texas's
00:23:01population is growing, people are migrating there from other states.
00:23:04The system there, where taxes are lower, is so much better
00:23:08than, for example, California, where taxes are higher, or Democrats
00:23:12govern it." And as a result, this is
00:23:16a model for Republicans. The fall of Texas and its falling into the hands
00:23:34This election, in which Senator John Cornyn,
00:23:37who had represented Texas for many
00:23:41years, was sort of thrown
00:23:45out, due to some things he had said about Mr. Trump.
00:23:48Mr. Trump did not support him
00:23:51and leaned towards Mr. Paxton.
00:23:55And ultimately, the Republican nomination
00:23:59went to Paxton. That is, Mr. Trump
00:24:03wanted to settle some scores in these two years with
00:24:06a few Republicans who didn't necessarily
00:24:09oppose him, but were not 100%
00:24:13with him on every issue.
00:24:16And this act of revenge, perhaps if the Democrats
00:24:20win in Texas, if Mr. Talarico wins
00:24:23in Texas, it will turn into an own
00:24:27goal. In fact, because of this
00:24:30so-called fire he has for taking revenge
00:24:33on those who were not completely loyal to him,
00:24:36he came to support a candidate who, in the internal
00:24:40party dispute, replaced someone who could have
00:24:43won the election more easily. And now, if Mr. Paxton loses,
00:24:47many will look at Mr. Trump and many
00:25:20of the things he says might be the concoction
00:25:23that gets him across the finish line successfully,
00:25:27because he's not saying, "I'm just like those Democrats
00:25:31in Washington or New York."
00:25:34He's saying, "I'm different and I will represent
00:25:37Texas, and I won't be just
00:25:40a partisan actor." This distancing himself
00:25:44from Republicans and his fellow Democrats
00:25:47might help him to win. Thank you,
00:25:50Bahman, Bahman Kalbasi. But let's go back to the first
00:25:54question of the program, which was about the etymology
00:25:57of gerrymandering. This word was invented
00:26:01by a Massachusetts newspaper
00:26:05in 1812. The story is that the state
00:26:08of Massachusetts had a governor who later
00:26:12became Vice President. His name was Elbridge
00:26:16Gerry. Mr. Gerry drew a map,
00:26:20actually approved a map for the elections,
00:26:24where an electoral district was created to benefit his own party.
00:26:27And this Massachusetts newspaper
00:26:30imagined that this map, this piece of this electoral
00:26:33district, looked like a salamander,
00:26:37that animal that resembles a lizard. Then they drew a cartoon
00:26:40that depicted that electoral district on the map
00:26:43as a salamander with a dragon's head.
00:26:47They also coined a word, putting Gerry next to "salamander,"
00:26:51which means salamander, and thus created
00:26:55the word "gerrymander." Thank you for watching
00:26:58or listening to us. We will be back
00:27:01to talk more about the ins and outs
00:27:04of the US elections.
00:27:05Be well.
Data courtesy of The GDELT Project (gdeltproject.org), from the Internet Archive TV News Archive. Film strip and transcript are GDELT's, rehosted here under their terms of use, which permit it with this citation.