WEBVTT

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Welcome back to another deep dive. We are really

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glad you could join us today. Yeah. Thanks for

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tuning in. I'm really looking forward to this

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one. Because we are looking at a particularly

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dense but absolutely fascinating piece of historical

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data today. Our source material for this deep

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dive is a comprehensive Wikipedia data set and

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it tracks every single United States Senate election

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in California since the state adopted popular

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voting. Right. It is essentially this massive

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spreadsheet. Yeah. logging over a century of

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dates, names, party affiliations and shifting

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vote tallies, it functions almost like a ledger

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of political evolution. It really does. When

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you track a single state's electoral behavior

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over a timeline that long, you stop seeing just

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individual campaigns. Right. The personalities

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fade away a bit. Exactly. And you start seeing

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the underlying structural shifts in how an electorate

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actually operates. Spotting the hidden patterns

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of how an electorate evolves over a century is

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really the whole point of looking at a dataset

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like this. It's not just about memorizing names.

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No, definitely not. And before we get into those

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shifts, we do need to issue a mandatory impartiality

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disclaimer. Always important. Right. As you might

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expect, a century's worth of election data involves

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some politically charged content. Oh, absolutely.

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It features both left wing and right wing historical

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figures. So we want to make it unequivocally

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clear to you, our listener, that neither of us

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is endorsing any viewpoints, political parties

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or candidates that are mentioned in this data

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set. Right. We aren't taking sides here. Our

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sole goal today is to impartially report on the

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factual data. We just want to explore. the historical

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and structural ideas contained within this original

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source material. That is an important boundary

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to set. I mean, we are looking at the math, the

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rule changes and the historical context. We are

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definitely not litigating the politics themselves.

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OK, let's unpack this. If we look at the structure

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of California's class one and class three Senate

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seats, the staggered terms the founders set up

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start to show some wild patterns in the data

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right from the jump. Yeah, they really do. Because

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the Constitution mandates that only one third

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of the Senate is up for reelection every two

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years. Right, to maintain institutional continuity.

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Exactly. You rarely see a state's entire representation

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overhaul at once. But the way those staggered

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seats have actually been filled, well, it's gone

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through some massive mechanical changes. And

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the first major mechanical change jumps out immediately

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in the timeline. When California was admitted

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to the union back in 1850, following its initial

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1849 elections, the state legislature actually

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picked the senators. Which feels so alien today.

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It does. But the data set takes a sharp turn

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with the ratification of the Senate. Amendment

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in 1913. That amendment moved the power of selection

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away from the legislature and directly into the

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hands of the voters. And looking at the columns

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for those first few popular elections, the immediate

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aftermath of that amendment looks, I mean, it

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looks highly volatile. Highly volatile is a good

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way to put it. I'm looking at the row for the

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first class three popular election. This is in

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1914. A Democrat named James D. Phelan won the

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seat, but his vote share was only 31 .59 percent.

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Yeah. To secure a federal Senate seat with less

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than a third of the popular vote implies a completely

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fractured electorate. What's fascinating here

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is how the data captures a moment of intense

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political experimentation. The progressive movement

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of the early 20th century was at its absolute

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peak, and the two -party system wasn't as rigidly

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calcified as it is today. Yeah, the voters had

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options. Exactly. Phelan didn't win with 31 %

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because the rest of the state just stayed home.

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He won because the electorate was aggressively

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splitting its ticket across a really wide ideological

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spectrum. You can see that split clearly in the...

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runner -up columns. Phelan was running against

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a progressive candidate, Francis J. Heaney. He

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took 28 .81%. Just trailing us. Right behind

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him. And then you have a Republican, Joseph R.

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Noland, right behind that with 28 .69%. There's

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even a socialist candidate, Ernest Unterman,

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pulling in over 6%. It's a four -way ideological

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pull. It really seems like once the voters got

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their hands on the wheel in 1914, they immediately

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pulled in four different directions. Which is

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a natural byproduct of a totally new system.

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The electorate was testing the boundaries of

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its newly acquired direct influence. Yeah, feeling

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things out. But what the data shows next is that

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this chaos didn't last long, though it did evolve

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into something arguably stranger. Much stranger.

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If 1914 was fractured, the data for the class

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one seat starting in 1916 shows a completely

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different phenomenon. And it centers around one

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politician. Hiram Johnson. Yeah. He wins that

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first class one popular. election with 61 .09%.

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But as you track his career down the spreadsheet,

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his vote share just keeps climbing. It really

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takes off. He gets 62 % in 1922, then 74 % in

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1928. And then I hit the row for 1934. The number

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is 94 .66%. Which is an anomaly that completely

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forces you to double check the source material.

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I definitely did. I mean, capturing almost 95

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% of the vote in a state as large and diverse

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as California seems mathematically improbable

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for any contested race. I had to dig into the

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footnotes of the data set to figure out how almost

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2 million out of the roughly 2 million votes

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cast went to one guy. And what did it say? It

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notes that Johnson was cross -nominated. During

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that 1934 election, he didn't just run as a Republican.

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The Democratic Party and the California Progressive

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Party also nominated him as their official candidate.

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That is just wild. To put that in a modern context,

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it would be like two rival spots teams in the

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championship game agreeing to draft the exact

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same star player. And have him play for both

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of them simultaneously. Exactly. It fundamentally

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bypasses the adversarial nature of an election.

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Right. The idea of the modern Republican and

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Democratic parties agreeing to share a Senate

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nominee is practically science fiction today.

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Totally. But it tells us that the electoral rulebook

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back then allowed for a completely different

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kind of political strategy. If we connect this

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to the bigger picture, the cross -nomination

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rules of that era reveal an electorate that valued

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broad, synthesized coalitions over strict partisan

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loyalty. They weren't locked into the D or R

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labels. Right. Candidates could build a mega

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coalition by appealing directly to the party

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apparatuses of multiple factions. It was a legal

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mechanism that essentially allowed politicians

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to end the general election before it even started.

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By monopolizing the primary nominations across

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the board. Exactly. And it wasn't just the major

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parties maneuvering like this. The third party

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data from this early period is incredibly robust.

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It is. In the 1922 class one race. The famous

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author Upton Sinclair ran on the socialist ticket

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and secured 6 .28 percent. Which is a solid showing.

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But the standout number for me is in the 1932

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class three race. A candidate named Robert P.

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Shuler running for the Prohibition Party captured

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25 .77 percent of the vote. Over a quarter of

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the electorate voting for a single issue third

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party candidate in a federal Senate race. That

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is huge. Exactly. Over half a million votes.

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Today, third party candidates often struggle

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to break low single digits in statewide federal

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races. But the data set from the 1920s and 30s

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shows them as highly viable landing pads for

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a significant chunk of the electorate. It reinforces

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the idea that the political landscape was fluid.

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Voters didn't feel locked into a binary choice,

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and the structural rules of the time didn't punish

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them as heavily for looking outside the traditional

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establishment. No, it rewarded building those

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unique coalitions. But as the data set moves

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into the post -war era, the rules and the behavior

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of the electorate shift again. We hit the mid

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-century mark, and the data for the 1946 Class

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I special election presents another massive structural

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oddity. Republican William Noland. wins the seat

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with 425 ,273 votes. That translates to 74 .31

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% of the total, right? Yes, 74 .31%. But the

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source indicates he won this via a write -in

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campaign. That is staggering. And his runner

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-up, Will Rogers Jr., also secured nearly 16

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% as a write -in. Mobilizing hundreds of thousands

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of voters to physically write a name on a ballot

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requires a level of logistical coordination that

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is difficult to fathom. Especially without modern

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digital communication. No social media, no email.

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It's just pure grassroots organization. It shows

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an electorate that was not only highly engaged,

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but also capable of bypassing the printed ballot

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options entirely to assert its preference. That

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level of engagement makes perfect sense when

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you look at how aggressively contested the state

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was during this period. Moving through the 1950s,

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60s and 70s, the data set reads like a persistent

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ping pong match between the two major parties.

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It's a constant back and forth. In the class

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three seat alone, we see Richard Nixon win for

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the Republicans in 1950. Right. Then a Republican

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George Murphy takes it in 1964. The Democrats

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swing it back with John V. Tunney in 1970. Then

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Republican S .I. Hayakawa swings it right back

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in 1976. That volatility is a defining characteristic

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of mid -century California politics. The state

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was a quintessential battleground. It really

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was. The post -war population boom brought in

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wildly diverse demographics and neither party

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had a structural lock on the state. The electorate

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was constantly reevaluating its leadership. Resulting

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in this aggressive seat swapping. Exactly. Which

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is a stark contrast to how the state is often

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viewed today. You get the sense from these columns

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that control of California's representation in

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Washington was never a foregone conclusion during

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those decades. It wasn't. Candidates had to fight

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inch by inch for the center of the electorate.

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The data clearly shows the center was willing

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to change its mind every six years. But that

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volatility hits a brick wall as we move down

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the spreadsheet. It really does. Here's where

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it gets really interesting. We arrive at the

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filestone year of 1992. 1992 is the great structural

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anomaly of the late 20th century in this data

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set. Because of a midterm vacancy, the staggering

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of the classes we discussed earlier was temporarily

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overridden. Right. The usual rules didn't apply.

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Both the class one special election and the class

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three regular election ended up on the exact

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same ballot. Voters went to the polls in November

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1992 and effectively selected their entire Senate

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delegation in a single afternoon. The statistical

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likelihood of both seats opening up simultaneously

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like that is rare. But the consequences of that

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specific election are what truly altered the

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state's historical trajectory. The results were

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a definitive sweep for the Democrats. Diane Feinstein

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won the Class 1 special election against Republican

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John Seymour with 54 .29%. And on that same ballot.

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On that very same ballot, Barbara Boxer won the

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Class 3 regular election against Republican Bruce

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Hershenson with 47 .90%. When you trace those

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two names down the rest of the spreadsheet, you

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see the complete end of the ping pong era. That

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single day of voting locked in the state Senate

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representation for a quarter of a century. Decades

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of stability. Boxer holds the class three seat

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through reelections in 1998, 2004 and 2010. Feinstein

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holds the class one seat through an incredible

00:11:10.149 --> 00:11:14.789
run 1994, 2000, 2006, 2012 and 2018. This is

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a phenomenal streak of incumbency. The data shifts

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from a highly volatile back and forth battleground

00:11:20.289 --> 00:11:22.809
state to a solid block of long term stability.

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It's a night and day difference. The voters made

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a dual choice in 1992, and then the data set

00:11:27.230 --> 00:11:29.970
just reiterates that choice for decades. It highlights

00:11:29.970 --> 00:11:32.649
how a single demographic or cultural shift, if

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captured effectively in a concurrent election

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year, can completely freeze a political landscape.

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The state's center of gravity shifted. Right,

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and the incumbency advantage of holding both

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seats simultaneously created an almost insurmountable

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barrier for the opposition. But just when the

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columns start to look entirely predictable, the

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source notes reveal the final, massive structural

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rule change of our timeline, Proposition 14.

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Passed by the voters in 2010. Yes. And Proposition

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14 completely rewrote the underlying mechanics

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of how general elections operate. By instituting

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a top -two primary system. According to the footnotes,

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this means all candidates, regardless of party,

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run on a single primary ballot. The top two vote

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getters advance to November. It doesn't matter

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if they are from the same party. Exactly. And

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crucially, it explicitly outlaws the very write

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in campaigns that guys like William Nolan used

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to win back in 1946. General elections are strictly

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limited to the top two names. This raises an

00:12:31.539 --> 00:12:33.440
important question regarding campaign strategy.

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How so? Well. When you implement a top two system

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in a state that heavily favors one party, the

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general election ceases to be a traditional partisan

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battle. Oh, because the minority party gets boxed

00:12:43.940 --> 00:12:46.320
out. Exactly. You create an environment where

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multiple candidates from the majority party risk

00:12:48.840 --> 00:12:52.139
splitting their own base in the primary. Or conversely,

00:12:52.159 --> 00:12:55.240
they succeed and lock the minority party out

00:12:55.240 --> 00:12:57.659
of the general election entirely. And we see

00:12:57.659 --> 00:13:00.179
that lockout effect immediately in the data set.

00:13:00.509 --> 00:13:03.649
In the 2016 Class 3 election, the general ballot

00:13:03.649 --> 00:13:06.730
didn't feature a Republican and a Democrat. Democrat

00:13:06.730 --> 00:13:09.029
Kamala Harris faced off against another Democrat,

00:13:09.230 --> 00:13:12.690
Loretta Sanchez. With Harris winning 61 .60%.

00:13:12.690 --> 00:13:16.129
Right. Two years later, in the 2018 Class 1 election,

00:13:16.509 --> 00:13:19.350
Democrat Dianne Feinstein ran against fellow

00:13:19.350 --> 00:13:22.070
Democrat Kevin DeLeon. That intra -party dynamic

00:13:22.070 --> 00:13:24.809
changes the entire calculus for the voter. It

00:13:24.809 --> 00:13:27.649
has to. For decades, the data set shows an electorate

00:13:27.649 --> 00:13:30.269
relying on the basic shorthand of partisan labels.

00:13:30.529 --> 00:13:32.470
You look for the D or the R. And you make your

00:13:32.470 --> 00:13:34.110
choice. But when you are forced to choose between

00:13:34.110 --> 00:13:36.549
two candidates from the exact same party platform,

00:13:36.909 --> 00:13:39.470
those labels are completely useless. Voters are

00:13:39.470 --> 00:13:42.029
forced to parse regional alliances, highly specific

00:13:42.029 --> 00:13:44.769
policy nuances, and individual candidate histories.

00:13:45.070 --> 00:13:47.929
It shifts the bitterest electoral fights from

00:13:47.929 --> 00:13:50.049
the general election to the primary. And then

00:13:50.049 --> 00:13:52.129
it forces the minority party voters to act as

00:13:52.129 --> 00:13:54.649
a tiebreaker between two candidates they may

00:13:54.649 --> 00:13:56.990
not. inherently support. It's a complete gamification

00:13:56.990 --> 00:13:59.830
of the primary process. And looking at the most

00:13:59.830 --> 00:14:02.450
recent data entries for Alex Padilla in 2022

00:14:02.450 --> 00:14:06.429
and Adam Schiff in 2024, the numbers reflect

00:14:06.429 --> 00:14:09.389
this modern consolidated era. It's a whole new

00:14:09.389 --> 00:14:11.549
paradigm. Interestingly, both of those recent

00:14:11.549 --> 00:14:14.669
cycles also featured concurrent special and regular

00:14:14.669 --> 00:14:17.490
elections on the same ballot, echoing that 1992

00:14:17.490 --> 00:14:19.809
anomaly we talked about. The mechanics of the

00:14:19.809 --> 00:14:22.450
ballot might mirror 1992, but the raw numbers

00:14:22.450 --> 00:14:24.610
involved in those modern races. are operating

00:14:24.610 --> 00:14:27.309
on an entirely different scale. That is the data

00:14:27.309 --> 00:14:29.230
point that really puts this whole timeline into

00:14:29.230 --> 00:14:31.970
perspective for me. In 2024, Adam Schiff received

00:14:31.970 --> 00:14:36.590
9 ,036 ,252 votes to win the full -term Class

00:14:36.590 --> 00:14:39.289
1 seat. Over 9 million votes for a single candidate.

00:14:39.470 --> 00:14:41.509
The sheer administrative and communicative undertaking

00:14:41.509 --> 00:14:44.149
of a modern statewide race is staggering when

00:14:44.149 --> 00:14:46.110
you view it against the historical baseline.

00:14:46.370 --> 00:14:49.340
It really is. So what does this all mean? We've

00:14:49.340 --> 00:14:52.000
traced a data set from the era of state legislature

00:14:52.000 --> 00:14:54.919
appointments to the direct democracy of the 17th

00:14:54.919 --> 00:14:57.379
Amendment. We watched Hiram Johnson manipulate

00:14:57.379 --> 00:15:00.580
cross -nomination rules to hit 94 percent of

00:15:00.580 --> 00:15:03.360
the vote. We saw third parties like the Prohibitionists

00:15:03.360 --> 00:15:05.679
command a quarter of the electorate. We track

00:15:05.679 --> 00:15:08.059
the volatile, right and heavy ping -pong era

00:15:08.059 --> 00:15:10.559
of the mid -century, the abrupt stabilization

00:15:10.559 --> 00:15:14.320
in 1992, and finally, the strategic intra -party

00:15:14.320 --> 00:15:17.120
showdowns engineered by the top two primary system

00:15:17.120 --> 00:15:20.139
of Proposition 14. It is quite the journey. For

00:15:20.139 --> 00:15:22.159
you listening, the overarching lesson of this

00:15:22.159 --> 00:15:24.960
data set is that electoral outcomes are rarely

00:15:24.960 --> 00:15:27.600
just about the candidates' personalities. They

00:15:27.600 --> 00:15:29.220
are fundamentally dictated by the structural

00:15:29.220 --> 00:15:31.740
rules of the era. That is the essential takeaway.

00:15:31.980 --> 00:15:34.220
The electorate behaves according to the boundaries

00:15:34.220 --> 00:15:36.899
it is. given. Beautifully said. But as a final

00:15:36.899 --> 00:15:38.639
thought to ponder, I want you to consider the

00:15:38.639 --> 00:15:40.639
physical reality of the numbers we just discussed.

00:15:40.919 --> 00:15:44.460
In 1914, James D. Phelan secured his United States

00:15:44.460 --> 00:15:48.639
Senate seat with roughly 279 ,000 votes. In 2024,

00:15:49.370 --> 00:15:52.250
Adam Schiff required over 9 million votes to

00:15:52.250 --> 00:15:55.289
perform the exact same constitutional duty, representing

00:15:55.289 --> 00:15:58.070
the exact same geographic borders in the exact

00:15:58.070 --> 00:16:01.129
same chamber of Congress. The scale is just massive.

00:16:01.330 --> 00:16:03.549
That means the required base of popular support

00:16:03.549 --> 00:16:06.570
has multiplied by more than 30 times over a century.

00:16:07.129 --> 00:16:09.750
I encourage you to explore on your own what that

00:16:09.750 --> 00:16:12.269
massive scale means for the future of representation.

00:16:13.009 --> 00:16:15.690
How does a politician authentically communicate

00:16:15.690 --> 00:16:18.549
with an electorate of nearly 40 million people?

00:16:18.789 --> 00:16:21.870
When the scale of democracy expands that drastically,

00:16:22.169 --> 00:16:25.110
the very nature of human representation has to

00:16:25.110 --> 00:16:27.710
adapt to survive. It completely reframes how

00:16:27.710 --> 00:16:29.649
you look at the concept of a popular mandate.

00:16:29.870 --> 00:16:31.850
The numbers in this spreadsheet do more than

00:16:31.850 --> 00:16:33.929
just list the winners. They map the changing

00:16:33.929 --> 00:16:36.639
physics of our electoral system. Thank you for

00:16:36.639 --> 00:16:39.019
joining us on this deep dive. We hope you walk

00:16:39.019 --> 00:16:41.120
away with a new lens for viewing political data.

00:16:41.360 --> 00:16:43.779
Keep looking for the structural rules, keep analyzing

00:16:43.779 --> 00:16:45.480
the numbers, and we'll see you next time.
