Poll Average Details- MO US Senate - 2022-11-08 19:00:00

The Poll Average is a weighted and adjusted number.
[Mid Date Column] All times are calculated by the middle date of the poll if it spans multiple days.
A time window of 2 months prior to the most recent poll is used.
[Time Weight Column] Polls are weighted in the amount they contribute to the final results in a linear fashion in this time window - the newest poll has a weight of 1, a poll 30 days prior will have a weight of 0.5 and a poll 60 days out will have a weight of 0. If the same pollster has more than one poll in this time period, only the newest will be used.
[Internal Column] If a poll is marked as being an internal poll for one of the candidates, it's weight will be halved.
[Candidate Columns, Bias] OurCampaigns has calculated partisan bias figures for all Polling Firms based on data from final vote totals in races they have polled. These amounts are subtracted from the poll result - in the case the bias figure is negative it will effectively be added to the poll result and appear as two dashes (minus a negative = plus). [TOTAL Row] The adjusted weights are summed for each poll result and the adjusted poll results for each candidate are multiplied by the poll weight and then summed. Each candidate's poll sum is divided by their weight sum to give the total.

Poll	Mid Date	Time Weight	Internal	Eric Schmitt Eric Schmitt	Trudy Busch Valentine Trudy Busch Valentine	Jonathan Dine	Paul Venable	Martin "Mad Dog" Lindstedt	Theodis "Ted" Brown, Sr.	Gina Bufe	Rik Combs	David Kirk	Nathan Mooney	Steve Price
Civiqs	11/7	X 1.00000		55.0000 - -1.4007 bias	40.0000 - 2.9404 bias
Trafalgar Group	11/1	X 0.90000		53.3000 - 1.8988 bias	42.3000 - -1.6435 bias	2.1000 - 0.8790 bias
Survey USA	11/1	X 0.90000		50.0000 - 0.3265 bias	41.0000 - 0.5274 bias
Emerson College	10/28	X 0.83333		54.0000 - 0.6906 bias	40.0000 - 0.8084 bias	3.0000 - 1.2130 bias	1.0000 - 0.3144 bias
Remington Research	10/25	X 0.78333		51.0000 - -0.4438 bias	42.0000 - 0.8599 bias	2.0000 - 0.4208 bias	1.0000 - 0.6425 bias
TOTAL				52.548696	40.283812	1.519910	0.526624	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000	0.000000