Why Economics Is Really Called 'the Dismal Science': The (not-so-dismal) origin myth of a ubiquitous term

By Derek Thompson of The Atlantic Monthly. From 2013. 

"The story goes like this: Thomas Carlyle, a Scottish writer and philosopher, called economics "the dismal science" in reference to Thomas Malthus, that lugubrious economist who claimed humanity was trapped in a world where population growth would always strain natural resources and bring widespread misery. Dismal, indeed.

But this origin myth is, well, mythical. Carlyle did coin the phrase "the dismal science." And Malthus was, without question, dismal.

But Carlyle labeled the science "dismal" when writing about slavery in the West Indies. White plantation owners, he said, ought to force black plantation workers to be their servants.

Economics, somewhat inconveniently for Carlyle, didn't offer a hearty defense of slavery. Instead, the rules of supply and demand argued for "letting men alone" rather than thrashing them with whips for not being servile. Carlyle bashed political economy as "a dreary, desolate, and indeed quite abject and distressing [science]; what we might call ... the dismal science.”

Today, when we hear the term "the dismal science," it's typically in reference to economics' most depressing outcomes (e.g.: on globalization killing manufacturing jobs: "well, that's why they call it the dismal science," etc). In other words, we've tended to align ourselves with Carlyle to acknowledge that an inescapable element of economics is human misery.

But the right etymology turns that interpretation on its head. In fact, it aligns economics with morality, and against racism, rather than with misery, and against happiness. Carlyle couldn't find a justification for slavery in political economic thought, and he considered this fact to be "dismal." Students of economics should be proud: Their "science" was then (as it can be, today) a force for a more just and, crucially, less dismal world."

The Seasonally Adjusted CPI Was up 0.865% in March

Here are the changes in the seasonally adjusted CPI for the six months ending in Dec: 

Aug 0.3483%

Sept. 0.2951% (There was no report for October due to the government shutdown)

Nov. 0.2523% (change from Sept)

Dec. 0.2978%

Jan. 0.1708%

Feb. 0.2670

 

The last decline was March 2025 when it was -0.0500%. Before that it was June 2024 when it was -0.0029%.

See Consumer Price Index for All Urban Consumers: All Items in U.S. City Average from FRED (Federal Reserve Economic Data) compiled by the Research Division at the Federal Reserve Bank of St. Louis for data on the seasonally adjusted CPI.

That site shows a graph but if you click on the Download button you will get the actual numbers in Microsoft Excel.

The Consumer Price Index for All Urban Consumers: All Items in U.S. City Average (CPIAUCSL) was 327.460 in Feb. and 330.293 in March. Since 330.293/327.460 = 1.00865, that means it was up 0.865%. If we had that every month for 12 months it would be up 10.89%.

It was 319.785 in March 2025. Since 330.293/319.785 = 1.0329, that means it was up 3.29% over the last 12 months.

The non-seasonally adjusted CPI was 330.213 in March and 319.799 in March 2025. That was up 3.26%. So pretty close to the seasonally adjusted CPI. This is still above the Fed's target of 2.0% (although they prefer to use the Personal Consumption Expenditures Price Index which was 2.8% higher in Feb. 2026 than Feb. 2025). 

For more information see Consumer prices rose 3.3% in March, as energy prices spiked due to Iran conflict by Jeff Cox of CNBC. Excerpt: 

"The consumer price index increased a seasonally adjusted 0.9% for the month, putting the annual inflation rate at 3.3%, pushed by a 10.9% surge in energy costs. Both numbers were in line with the Dow Jones consensus. The annual rate was the highest since April 2024 and up from 2.4% in February. 

However, excluding food and energy, core prices rose much less – just 0.2% for the month and 2.6% from a year ago, both 0.1 percentage point below forecast, indicating that underlying inflation was contained. There even were even pockets of outright price declines, as medical care, personal care, and used cars and trucks all fell during the month.

The Iran conflict was the story for the monthly inflation reading, as gasoline soared 21.2%, accounting for nearly three-quarters of the headline price increase, according to the BLS.

The article also discusses what types of products are going up in price and what is going down. There is a graph of the monthly year-over-year percent change in prices and core prices going back almost 4 years."  

The article also discusses what types of products are going up in price and what is going down. There is a graph of the monthly year-over-year percent change in prices and core prices going back almost 4 years.   

Related material: 

Consumer Price Index for All Urban Consumers: All Items Less Food and Energy in U.S. City Average (CPILFESL) This is also from from FRED (Federal Reserve Economic Data), compiled by the Research Division at the Federal Reserve Bank of St. Louis. It has the seasonally adjusted core CPI.

 

Consumer Price Index Data from 1913 to 2025

 

Personal Consumption Expenditures Price Index 

 

The Bureau of Labor Statistics makes seasonal adjustments. See Consumer Price Index Summary.

 

The table below has the annual inflation rate since 1914 in the columns labeled CPI %Ch. or CPI percentage change. It is from Consumer Price Index Data from 1913 to 2026 and is not seasonally adjusted. It is also the December to December change in the CPI. That site also looks at how the 12 month average for the CPI changed from one year to the next.

 

Year	CPI %Ch.		Year	CPI %Ch.		Year	CPI %Ch.		Year	CPI %Ch.
1914	1		1944	2.3		1974	12.3		2004	3.3
1915	2		1945	2.2		1975	6.9		2005	3.4
1916	12.6		1946	18.1		1976	4.9		2006	2.5
1917	18.1		1947	8.8		1977	6.7		2007	4.1
1918	20.4		1948	3		1978	9		2008	0.1
1919	14.5		1949	-2.1		1979	13.3		2009	2.7
1920	2.6		1950	5.9		1980	12.5		2010	1.5
1921	-10.8		1951	6		1981	8.9		2011	3
1922	-2.3		1952	0.8		1982	3.8		2012	1.7
1923	2.4		1953	0.7		1983	3.8		2013	1.5
1924	0		1954	-0.7		1984	3.9		2014	0.8
1925	3.5		1955	0.4		1985	3.8		2015	0.7
1926	-1.1		1956	3		1986	1.1		2016	2.1
1927	-2.3		1957	2.9		1987	4.4		2017	2.1
1928	-1.2		1958	1.8		1988	4.4		2018	1.9
1929	0.6		1959	1.7		1989	4.6		2019	2.3
1930	-6.4		1960	1.4		1990	6.1		2020	1.4
1931	-9.3		1961	0.7		1991	3.1		2021	7
1932	-10.3		1962	1.3		1992	2.9		2022	6.5
1933	0.8		1963	1.6		1993	2.7		2023	3.4
1934	1.5		1964	1		1994	2.7		2024	2.9
1935	3		1965	1.9		1995	2.5		2025	2.7
1936	1.4		1966	3.5		1996	3.3
1937	2.9		1967	3		1997	1.7
1938	-2.8		1968	4.7		1998	1.6
1939	0		1969	6.2		1999	2.7
1940	0.7		1970	5.6		2000	3.4
1941	9.9		1971	3.3		2001	1.6
1942	9		1972	3.4		2002	2.4
1943	3		1973	8.7		2003	1.9

 

Here is a timeline graph of this data: