Electric Consumer

Editor: Katerine G., Editor & Data Researcher · Research & publishing: Electric Consumer Editorial Team · Data retrieved · Sources named on this page: EIA-861, EIA retail sales, EIA-860/923, Census ACS, DOE LEAD · How we got these numbers · Report an error

Electricity myths against the data

4 False, 8 Partly, 0 Trueverdicts on 12 common claims about electricity, checked against the numbers on this site

Each claim gets a verdict, True, False or Partly, with the number that decides it on the first screen of its page. Verdicts follow written rules (below) and every figure is computed from public data.

The 12 claims

  1. False

    Turning off lights saves the most

    18 kWh

    kWh a year saved by one lamp off

  2. Partly

    EVs will overload the grid

    0.71%

    share of U.S. electricity sold used by today's EVs

  3. Partly

    Rooftop solar always pays back

    9 of 51

    states with solar payback under 10 years at $3.00 a watt

  4. Partly

    Heat pumps don't work in cold states

    0 of 10

    of the 10 coldest states where a heat pump beats gas on fuel cost

  5. False

    Higher prices mean more reliable power

    r = +0.03

    correlation of home price and outage minutes

  6. False

    Renewables make electricity more expensive

    r = -0.07

    correlation of renewable share and home price

  7. Partly

    The state with the highest rate has the highest bill

    #2

    bill rank of the state with the highest price

  8. False

    Electricity prices only go up

    3 of 51

    states where the home price fell in 2025

  9. Partly

    Deregulated states always pay more

    15 of 15

    choice states above the median of the others

  10. Partly

    Older homes always mean a higher energy burden

    r = +0.34

    county correlation of old housing and energy burden

  11. Partly

    Big storms cause most outage minutes

    77%

    share of outage minutes on major event days

  12. Partly

    Hot states have the biggest bills

    r = +0.34

    correlation of cooling degree-days and the typical bill

Verdict summary with CSV

Verdict summary of 12 myths
#MythVerdictKey numberWhat the number is
1Turning off lights saves the mostFalse18 kWhkWh a year saved by one lamp off
2EVs will overload the gridPartly0.71%share of U.S. electricity sold used by today's EVs
3Rooftop solar always pays backPartly9 of 51states with solar payback under 10 years at $3.00 a watt
4Heat pumps don't work in cold statesPartly0 of 10of the 10 coldest states where a heat pump beats gas on fuel cost
5Higher prices mean more reliable powerFalser = +0.03correlation of home price and outage minutes
6Renewables make electricity more expensiveFalser = -0.07correlation of renewable share and home price
7The state with the highest rate has the highest billPartly#2bill rank of the state with the highest price
8Electricity prices only go upFalse3 of 51states where the home price fell in 2025
9Deregulated states always pay morePartly15 of 15choice states above the median of the others
10Older homes always mean a higher energy burdenPartlyr = +0.34county correlation of old housing and energy burden
11Big storms cause most outage minutesPartly77%share of outage minutes on major event days
12Hot states have the biggest billsPartlyr = +0.34correlation of cooling degree-days and the typical bill

4 False, 8 Partly and 0 True. Every number is computed from the data listed under Sources; each page repeats its own sources and retrieval dates.

CSV

How we check a myth

Each claim is turned into something the data can test: a count of states, a correlation across states or counties, or a comparison of two measured quantities. We compute it from the open datasets listed below, write the rule before reading the result, and print the number next to the verdict.

Where our data cannot test the claim, the page says so: no hourly load data, no cause of an outage, no inflation series, no supplier plan prices. Scenarios, such as a 10 W lamp or a price per watt of solar, are labelled our scenario and are inputs you can change.

The rule behind each verdict

Rule behind each verdict
MythVerdict rule
1True if one lamp's yearly saving is at least the largest appliance in the comparison; otherwise False.
2True if today's EV energy is 10% or more of retail sales; False if under 1% and the whole-fleet scenario is under 5%; otherwise Partly.
3True if 90% or more of states pay back in under 10 years at $3.00 a watt; False if 10% or fewer; otherwise Partly.
4Partly by design: the model tests fuel cost at a constant COP, not performance in cold weather.
5True if the correlation of price and outage minutes is -0.3 or lower; otherwise False.
6True if the correlation of renewable share and price is 0.5 or higher; Partly from 0.3 to 0.5; otherwise False.
7True if the highest-price state also has the highest typical bill; Partly if it is in the top 3 on bills; otherwise False.
8True if no state's price fell in 2025 and the U.S. annual series never dipped since 2010; False if both happened; otherwise Partly.
9True if every choice state is above the other-state median and no other state is above the cheapest choice state; Partly if the choice median is higher; otherwise False.
10True if the county correlation is 0.5 or higher; Partly from 0.2 to 0.5; otherwise False.
11True if the national share of minutes on major event days is over 50% and 75% of states agree; Partly if only the national share is over 50%; otherwise False.
12True if the correlation of cooling degree-days and the bill is 0.5 or higher; Partly from 0.3 to 0.5; otherwise False.

What the verdicts mean

True means the data supports the claim as worded. False means the numbers contradict it as a general rule. Partly means the claim holds in some places, for some measures or only as an average. A correlation is a pattern across states and is never read as a cause, and a state average does not describe any one home.

At the moment 4 claims are False, 8 Partly and 0 True. The data change each year, so the verdicts can change; each page names its data period and retrieval date.

Sources and licences

Sources behind the myth pages
SourceData periodRetrievedLicenceMyth pages
EIA electricity retail sales, annual and monthly (API v2)annual 2010 to 2025, monthly to Jul 20261 Oct 2026U.S. government data (public domain); cite the agency. Our table: CC BY 4.01, 2, 3, 5 to 9, 12
EIA-861 annual electric power industry report, 2024 finaldata year 2024 (2015 to 2023 files for history)1 Oct 2026U.S. government data (public domain); cite the agency. Our table: CC BY 4.05, 9, 11
EIA-923 generation (2025 final) and EIA-860 generator file (2025)data year 20252 Oct 2026U.S. government data (public domain); cite the agency. Our table: CC BY 4.06
EIA natural gas prices, residential, annual and monthly20251 Oct 2026U.S. government data (public domain); cite the agency. Our table: CC BY 4.04
NOAA NCEI nClimDiv statewide heating and cooling degree-days2015 to 2025, normals 1991 to 2020 (files dated 4 Sep 2026)2 Oct 2026U.S. government data (public domain); cite the agency. Our table: CC BY 4.04, 12
NLR (formerly NREL) PVWatts v8 APItypical weather year, 1 kW fixed roof system2 Oct 2026Computed by us from the free API; results only3
ENERGY STAR certified products datasetcertified-product listings as of the download2 Oct 2026U.S. government data (public domain); cite the agency. Our table: CC BY 4.01
AFDC vehicle registration counts by state (NLR, Experian)light-duty vehicles, 2021 to 2025, rounded to 1002 Oct 2026U.S. government data (public domain); cite the agency. Our table: CC BY 4.02
EPA and DOE fueleconomy.gov vehicles.csvmodel years 2024 to 2026, 913 electric models2 Oct 2026U.S. government data (public domain); cite the agency. Our table: CC BY 4.02
FHWA Highway Statistics: annual miles per driveraverage miles per driver2 Oct 2026U.S. government data (public domain); cite the agency. Our table: CC BY 4.02
IRS: Residential Clean Energy Creditproperty placed in service 2022 to 20252 Oct 2026U.S. government data (public domain); cite the agency. Our table: CC BY 4.03
DOE LEAD (Low-Income Energy Affordability Data) tool2022 model year, by county2 Oct 2026U.S. government data (public domain); cite the agency. Our table: CC BY 4.010
Census ACS 5-year 2023, table B25034 (year built), by county2019 to 20232 Oct 2026U.S. government data (public domain); cite the agency. Our table: CC BY 4.010

Keep reading

Questions

What is a myth page on this site?

A claim about electricity, a verdict and a test. Today 12 claims are covered: 4 False, 8 Partly and 0 True.

Which claims come out False?

Turning off lights saves the most; Higher prices mean more reliable power; Renewables make electricity more expensive; Electricity prices only go up.

Which are Partly true?

EVs will overload the grid; Rooftop solar always pays back; Heat pumps don't work in cold states; The state with the highest rate has the highest bill; Deregulated states always pay more; Older homes always mean a higher energy burden; Big storms cause most outage minutes; Hot states have the biggest bills.

Which are True?

None at the moment: every claim fails or holds only in part on our data.

How are verdicts decided?

By a written rule for each claim, such as a correlation threshold or a count of states, listed in the rule table on this page.

Do you claim causes?

No. A correlation across states shows a pattern. Where a page names a possible reason it says our data cannot test it.

Where do the numbers come from?

EIA, EPA, DOE, Census, NOAA, IRS, FHWA and AFDC data, The sources table gives each period, retrieval date and licence.

Are the scenarios real data?

No. A 10 W lamp, a price per watt of solar or 13,476 miles a year are labelled our scenario or taken from a named average, and every one can be changed in the page's calculator.

Can I download the numbers?

Each page has a table of 51 states with a CSV link, and this page has the verdict summary as a CSV.

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4 False, 8 Partly, 0 True verdicts on 12 common claims about electricity, checked against the numbers on this site