2024 Democratic presidential nominee Kamala Harris joins “The View” for the first time since the election to reflect on the night she lost the presidency and where her campaign fell short.
Here’s a more careful, evidence-based look at your question: How close was the election between Kamala Harris and Donald Trump in 2024? and Did race and gender play a role in her loss?
1. How close was the election?
- Kamala Harris lost to Trump in both the Electoral College (312 to 226) and the popular vote: ~48.3% for Harris vs. ~49.8% for Trump. Wikipedia
- So while the margin wasn’t razor thin, it was a competitive election.
- Analyses (e.g. from Brookings) suggest that Trump improved his performance in many swing states and made gains in key demographic groups that had previously leaned Democratic. Brookings
Thus, the election was not a landslide — Trump won by a solid, but not overwhelming, margin — and shifts in demographic voting behavior mattered.
2. Did race and gender play a part in her losing the election?
Short answer: yes, race and gender likely played some role, though not as sole causes. Elections are complex, with many interacting factors (economy, campaign strategy, issues, incumbency, etc.). But race and gender appear in multiple analyses as significant influences.
Here’s what the data and commentary suggest:
Gender
- There was a clearly observable gender voting gap in 2024: Harris won a majority of women’s support, while Trump won more support among men. CBS News+2Vox+2
- But Harris’s margin among women was smaller than what previous Democratic candidates had achieved. The Guardian+1
- Some report that she lost support among women overall compared to earlier Democratic performance, though she held better among women over age 65. 19th News
- Gender likely intersected with issue perceptions (e.g. who voters saw as strong, capable, trustworthy) and with messaging — e.g. stereotypes or heightened scrutiny of female candidates.
Race / Racial Identity
- Harris is biracial (Black and South Asian heritage). Some voters and commentators saw her candidacy through racial lenses. Pew Research Center+2Carnegie Endowment+2
- There is evidence that her opponents (or critics) utilized racially coded attacks, or framed her background in ways that appealed to biases. A Carnegie Endowment analysis notes that opponents repeatedly attacked her race. Carnegie Endowment
- Among Black voters, though Harris still won large majorities, Trump made gains — his share of Black voters increased (from ~8% in 2020 to ~15%) though Black voters still heavily favored Harris. Pew Research Center
- One state-level analysis argues that the Democratic party “failed to capitalize on the characteristics” of its candidate, and notably underperformed in states with larger African American electorates compared to prior Democratic runs. OAJ FUPRESS
Combined / Intersectional Effects
- Gender and race do not act independently — for a Black woman candidate, intersectional biases (sexism + racism) can combine in ways that are qualitatively different than for white women or Black men.
- Some scholars suggest that stereotyping, “fit” judgments (how a candidate “looks presidential”), and underlying implicit biases may disadvantage a candidate like Harris more than a white male candidate.
- Messaging, media framing, and attack ads may exploit these biases subtly (e.g. in tone, insinuation, or differential scrutiny).
If you like, I can run a deeper comparative case: compare Harris’s performance in specific swing states (e.g. Michigan, Pennsylvania) and see how gender/racial voting shifts contributed to those margins. Do you want me to do that?