is that we GOTV.
We will see what happens with the only poll that counts, the one in November. Personally, I believe that the polls are not able to factor in those who don't answer calls from numbers they don't recognize because of all the SPAM calls that occur, I believe that number could be significant, especially among the younger demographic.
Even with this poll's sampling it indicates a very muddled picture.
In my view the only thing the polls may indicate is trends, and since President Biden stepped aside, that trend has so far favored us.
One poll means very little, and national polls are not how Presidents are elected.
Just looking at the stats in this poll it is even more confusing. They also make some assumptions.
I will give you an accurate analysis of this poll, flip a coin.
"• Interviewers spoke with 1,695 registered voters across the country from Sept. 3 to 6, 2024.
• Times/Siena polls are conducted by telephone, using live interviewers, in both English and Spanish. About 96 percent of respondents were contacted on a cellphone for this poll.
• Voters are selected for the survey from a list of registered voters. The list contains information on the demographic characteristics of every registered voter, allowing us to make sure we reach the right number of voters of each party, race and region. For this poll, interviewers placed nearly 194,000 calls to nearly 104,000 voters.
• To further ensure that the results reflect the entire voting population, not just those willing to take a poll, we give more weight to respondents from demographic groups that are underrepresented among survey respondents, like people without a college degree. You can see more information about the characteristics of our respondents and the weighted sample at the bottom of the page, under “Composition of the Sample.”
• The poll’s margin of sampling error among likely voters is plus or minus 2.8 percentage points. In theory, this means that the results should reflect the views of the overall population most of the time, though many other challenges create additional sources of error. When computing the difference between two values — such as a candidate’s lead in a race — the margin of error is twice as large."
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