
“America is a rigged oligarchy, and that’s not a conspiracy theory — it’s fact. Now, however, millions of Americans are becoming aware of it thanks to the populist campaigns of Bernie Sanders and Donald Trump. America’s elections are controlled by a big club, but unfortunately, “you ain’t in it!””
4/12/2016, “2016: The Year Americans Found out Our Elections Are Rigged,“ The Anti Media, Nick Bernabe, opinion, Denver, Colorado
““Now it’s just an oligarchy, with unlimited political bribery being the essence of getting the nominations for president or to elect the president. And the same thing applies to governors, and U.S. senators and congress members.” — Former President Jimmy Carter
“The 2016 election has been a wild ride, with two insurgent grassroots campaigns literally giving the political establishment a run for its money. But as the events of this presidential primary season play out, it’s becoming clear the U.S. election — and even more so, the presidential race — is a rigged scam being perpetrated on the American people.
Events from the last week [April 2016] have exposed the system as an illusion of choice and a farce. They have reinforced at least one study showing the U.S. is an oligarchy [alternate link for this study: 4/7/2014, “Study: US is an oligarchy, not a democracy,” BBC] rather than a democratic republic.
The Wyoming democratic caucus took place on Saturday, purportedly to allow voters to have their voices heard in the race between Bernie Sanders and Hillary Clinton. Sanders lost the Wyoming caucus by winning it with a 12 percent margin.
Wait, what? How does one lose by winning 56 percent of the votes? This happens when the political process is, according to the New York Post, “rigged” by superdelegates. The Post summed up this “strange” phenomenon:
“[U]nder the Democratic Party’s oddball delegate system, Sanders’ winning streak — he has won seven out of the past eight contests — counts for little.
“In fact, despite his win, he splits Wyoming’s 14 pledged delegates 7 to 7 under the caucus calculus.
“Clinton, meanwhile, also gets the state’s four superdelegates — who had already pledged their allegiance to her in January. So despite ‘losing,’ she triumphs 11-7 in the delegate tally.”
Even media pundits on MSNBC openly called the process rigged: @BernieSanders wins WY but @HillaryClinton nets more delegates… @JoeNBC: It is a system rigged against voters https://t.co/C15I9inLAH— Morning Joe (@Morning_Joe) April 11, 2016
The superdelegate process is complicated, as we’ve noted before, but they have one essential function: to prevent candidates like Bernie Sanders from winning the Democratic nomination.
Don’t believe me? Here’s a video of Democratic National Committee chairwoman Debbie Wasserman Schultz explaining superdelegates. [You Tube link]
Adding insult to injury, even when Sanders does win states (despite Hillary’s advantage in superdelegates), the media can be reliably counted on to discount Sanders’ wins as nothing more than prolonging the electoral process, which will inevitably elect the presumptive nominee, Hillary Clinton. This pervasive commentary continues despite the fact Sanders only trails her by several hundred pledged delegates.
UPDATE 1: Sanders Supporters Vindicated: Proof DNC Used Media to Rig Election for Hillary
UPDATE 2: Leaked DNC Emails Confirm Democrats Rigged Primary for Hillary
Meanwhile, according to the same media, the non-establishment Trump campaign is threatened every time Ted Cruz beats him — even though Trump leads by a larger percentage of pledged delegates than Clinton does. When Clinton loses, it doesn’t matter because she already has the nomination locked up. When Trump loses, his campaign is in big trouble. Starting to see the problem with the media coverage?
When you examine these media narratives, a troubling pattern emerges that goes beyond the political establishment’s self-interest. You begin to see that American corporate media also functions as an arm of the political machine, protecting establishment candidates while attacking — or dismissing — candidates who seem non-establishment.
This brings us to the events that transpired during the Republican nomination process in Colorado on Saturday [April 2016]. The Republican Party of Colorado didn’t even bother letting people vote before using arcane rules to strip the democratic process of its democracy. According to the Denver Post:
“Colorado GOP leaders canceled the party’s presidential straw poll in August [2015] to avoid binding its delegates to a candidate who may not survive until the Republican National Convention in July [2016].
“Instead, Republicans selected national delegates through the caucus process, a move that put the election of national delegates in the hands of party insiders and activists — leaving roughly 90 percent of the more than 1 million Republican voters on the sidelines.”
Unsurprisingly, Trump’s non-establishment campaign walked away with zero delegates. They were all “awarded” to Ted Cruz.
“How is it possible that the people of the great State of Colorado never got to vote in the Republican Primary? Great anger — totally unfair!” Trump said on Twitter. “The people of Colorado had their vote taken away from them by the phony politicians. Biggest story in politics. This will not be allowed!”
In an interview on Monday, Trump was even more frank. “The system is rigged, it’s crooked,” he said.
The Colorado GOP didn’t even bother hiding its intentions, tweeting — then quickly removing — what was possibly the most honest insight into the back-door dealing so far this election season: [“We did it. #NeverTrump”]

The Republican party chooses the nominee, not the voting public. Still in disbelief? Watch a Republican National Committee member explain it better than I can:
What we are witnessing — for the first time on a large scale — is the political establishment’s true role in selecting the president of the United States. The illusion of choice has become apparent.
The establishment anoints their two picks for president, and the country proceeds to argue vehemently over the two candidates they are spoon-fed. This dynamic is reminiscent of a prophetic 1998 quote from philosopher Noam Chomsky:
“The smart way to keep people passive and obedient is to strictly limit the spectrum of acceptable opinion, but allow very lively debate within that spectrum.”
Ahh, the illusion of choice. Sure, in reality there are third party candidates who should be given a fair shake, but in our mainstream media-augmented reality, third parties do not exist. They aren’t mentioned. They aren’t even included in presidential debates. This is another way the media stifles healthy debate, stamps out dissenting opinions, and preserves the status-quo.
“We The People” don’t choose our presidents; they are hand-picked by a powerful group of political party insiders — parties that have long since sold out to the highest bidders. What we have on our hands in America is a rigged oligarchy, and that’s not a conspiracy theory — it’s fact. Now, however, millions of Americans are becoming aware of it thanks to the populist campaigns of Bernie Sanders and Donald Trump. America’s elections are controlled by a big club, but unfortunately, “you ain’t in it!”"
“This article (2016: The Year Americans Found out Our Elections Are Rigged) is an opinion editorial (OP-ED). The opinions expressed in this article are the author’s own and do not necessarily represent the views of Anti-Media. You have permission to republish this article under a Creative Commons license with attribution to Nick Bernabe and theAntiMedia.org. Anti-Media Radio airs weeknights at 11pm Eastern/8pm Pacific. Image credits: Gage Skidmore/Michael Vadon. If you spot a typo, email edits@theantimedia.org.”
…………………………..
Added: 2014 study referenced above: US is an oligarchy, not a representative democracy:
"We believe that if policymaking is dominated by powerful business organizations and a small number of affluent Americans, then America’s claims to being a democratic society are seriously threatened."
9/18/2014, “Testing Theories of American Politics: Elites, Interest Groups, and Average Citizens,” Martin Gilens and Benjamin I. Page, cambridge.org, https://doi.org/10.1017/S1537592714001595
“Each of four theoretical traditions in the study of American politics—which can be characterized as theories of Majoritarian Electoral Democracy, Economic-Elite Domination, and two types of interest-group pluralism, Majoritarian Pluralism and Biased Pluralism—offers different predictions about which sets of actors have how much influence over public policy: average citizens; economic elites; and organized interest groups, mass-based or business-oriented.
A great deal of empirical research speaks to the policy influence of one or another set of actors, but until recently it has not been possible to test these contrasting theoretical predictions against each other within a single statistical model. We report on an effort to do so, using a unique data set that includes measures of the key variables for 1,779 policy issues.
Multivariate analysis indicates that economic elites and organized groups representing business interests have substantial independent impacts on U.S. government policy, while average citizens and mass-based interest groups have little or no independent influence. The results provide substantial support for theories of Economic-Elite Domination and for theories of Biased Pluralism, but not for theories of Majoritarian Electoral Democracy or Majoritarian Pluralism.
Who governs? Who really rules? To what extent is the broad body of U.S. citizens sovereign, semi-sovereign, or largely powerless? These questions have animated much important work in the study of American politics.
While this body of research is rich and variegated, it can loosely be divided into four families of theories: Majoritarian Electoral Democracy, Economic-Elite Domination, and two types of interest-group pluralism—Majoritarian Pluralism, in which the interests of all citizens are more or less equally represented, and Biased Pluralism,
 in which corporations, business associations, and professional groups 
predominate. Each of these perspectives makes different predictions 
about the independent influence upon U.S. policy making of four sets of 
actors: the Average Citizen or “median voter,” Economic Elites, and Mass-based or Business-oriented Interest Groups or industries.
Each of these theoretical traditions has given rise to a 
large body of literature. Each is supported by a great deal of empirical
 evidence—some of it quantitative, some historical, some 
observational—concerning the importance of various sets of actors (or, 
all too often, a single set of actors) in U.S. policy making. This 
literature has made important contributions to our understanding of how 
American politics works and has helped illuminate how democratic or 
undemocratic (in various senses) our policy making process actually is. 
Until very recently, however, it has been impossible to test the 
differing predictions of these theories against each other within a 
single statistical model that permits one to analyze the independent 
effects of each set of actors upon policy outcomes.
Here—in a tentative and preliminary way—we offer such a 
test, bringing a unique data set to bear on the problem. Our measures 
are far from perfect, but we hope that this first step will help inspire
 further research into what we see as some of the most fundamental questions about American politics.
The
 central point that emerges from our research is that economic elites 
and organized groups representing business interests have substantial 
independent impacts on U.S. government policy, while mass-based interest
 groups and average citizens have little or no independent influence. Our results provide substantial support for theories of Economic-Elite Domination and for theories of Biased Pluralism, but not for theories of Majoritarian Electoral Democracy or Majoritarian Pluralism.
In what follows, we briefly review the four theoretical 
traditions that form the framework for our analyses and highlight some 
of the most prominent empirical research associated with each. We then 
describe our data and measures and present our results. We conclude by 
discussing the implications of our work for understanding American 
democracy and by identifying some of the directions for future research 
that our findings suggest. 
Four Theoretical Traditions
Each of the four theoretical traditions we are addressing has produced a body of literature much too vast to review in detail here. We can only allude to a few central pieces of work in each tradition. And we must acknowledge that a particular scholar’s work does not always fall neatly into a single category. Some scholars work across—or independently of—our theoretical categories, embracing multiple influences and complex processes of policy making. Here we focus on ideal types of theory, for the purpose of outlining certain distinctive predictions that those types of theory tend to make. Given the nature of our data, we focus on the societal sources of influence that these theories posit, rather than on the mechanisms of influence that they discuss.
Four Theoretical Traditions
Each of the four theoretical traditions we are addressing has produced a body of literature much too vast to review in detail here. We can only allude to a few central pieces of work in each tradition. And we must acknowledge that a particular scholar’s work does not always fall neatly into a single category. Some scholars work across—or independently of—our theoretical categories, embracing multiple influences and complex processes of policy making. Here we focus on ideal types of theory, for the purpose of outlining certain distinctive predictions that those types of theory tend to make. Given the nature of our data, we focus on the societal sources of influence that these theories posit, rather than on the mechanisms of influence that they discuss.
Majoritarian Electoral Democracy
Theories
 of majoritarian electoral democracy, as positive or empirical theories,
 attribute U.S. government policies chiefly to the collective will of 
average citizens, who are seen as empowered by democratic elections. Such
 thinking goes back at least to Tocqueville, who (during the Jacksonian 
era) saw American majorities as “omnipotent”—particularly at the state 
level—and worried about “tyranny of the majority.” 1 
 It is encapsulated in Abraham Lincoln’s reference to government “of the
 people, by the people, for the people,” and was labeled by Robert Dahl 
“populistic democracy.” 2
An important modern incarnation of this tradition is found 
in rational choice theories of electoral democracy, in which 
vote-seeking parties or candidates in a two-party system tend to 
converge at the mid-point of citizens’ policy preferences. If 
preferences are jointly single-peaked so that they can be arrayed along a
 single dimension, the “median voter theorem”—posited verbally by Harold
 Hotelling, proved by Duncan Black, and popularized by Anthony Downs in 
his Economic Theory of Democracy—states that two
 vote-seeking parties will both take the same position, at the center of
 the distribution of voters’ most-preferred positions. Under the 
relevant assumptions, public policy that fits the preferences of the 
median voter is not only the empirically-predicted equilibrium result of
 two-party electoral competition; as the “Condorcet winner” it also has 
the normative property of being the “most democratic” policy, in the 
sense that it would be preferred to any alternative policy in 
head-to-head majority-rule voting by all citizens. 3 
Subsequent “chaos” results by social choice theorists, 
starting with Kenneth Arrow, have indicated that the median voter 
prediction follows logically only for unidimensional politics. If 
citizens’ preference orderings are not unidimensional and are 
sufficiently diverse, majority rule—hence also two-party electoral 
competition—might not lead to any equilibrium outcome at all. 4  It is important to note, however, that what might
 theoretically happen will not necessarily ever happen in practice. 
Real-world outcomes depend upon how institutions are organized and how 
preferences are actually configured.
Despite the “chaos” results, and despite many criticisms of
 the median-voter theorem as simplistic and empirically inapplicable or 
wrong, 5 
 a good many scholars—probably more economists than political scientists
 among them—still cling to the idea that the policy preferences of the 
median voter tend to drive policy outputs from the U.S. political 
system. A fair amount of empirical evidence has been adduced—by Alan 
Monroe; Benjamin Page and Robert Shapiro; Robert Erikson, Michael 
MacKuen, and James Stimson (authors of the very influential Macro Polity);
 and others—that seems to support the notion that the median voter 
determines the results of much or most policy making. This evidence 
indicates that U.S. federal government policy is consistent with 
majority preferences roughly two-thirds of the time; that public policy 
changes in the same direction as collective preferences a similar 
two-thirds of the time; that the liberalism or conservatism of citizens 
is closely associated with the liberalism or conservatism of policy 
across states; and that fluctuations in the liberal or conservative 
“mood” of the public are strongly associated with changes in the 
liberalism or conservatism of policy in all three branches of 
government. 6
The fly in the ointment is that none of this evidence 
allows for, or explicitly assesses, the impact of such variables as the 
preferences of wealthy individuals, or the preferences and actions of 
organized interest groups, which may independently influence public 
policy while perhaps being positively associated with public 
opinion—thereby producing a spurious statistical relationship between 
opinion and policy.
Recent research by Larry Bartels and by one of the present 
authors (Gilens), which explicitly brings the preferences of “affluent” 
Americans into the analysis along with the preferences of those lower in
 the income distribution, indicates that the apparent connection between
 public policy and the preferences of the average citizen may indeed be 
largely or entirely spurious. 7 
The “electoral reward and punishment” version of democratic
 control through elections—in which voters retrospectively judge how 
well the results of government policy have satisfied their basic 
interests and values, and politicians enact policies in anticipation of 
judgments that they expect will later be made by what V.O. Key, Jr., 
called “latent” public opinion—might be thought to offer a different 
prediction: that policy will tend to satisfy citizens’ underlying needs 
and values, rather than corresponding with their current policy 
preferences. 8 
 We cannot test this prediction because we do not have—and cannot easily
 imagine how to obtain—good data on individuals’ deep, underlying 
interests or values, as opposed to their expressed policy preferences. 
But the evidence that collective policy preferences are generally rather
 stable over time suggests that expressed collective policy preferences 
may not often diverge markedly from subsequently manifested “latent” 
preferences. They may do so only under special circumstances, such as 
economic recessions or disastrous wars. 9 
 If so, the electoral-reward-and-punishment type of democratic theory, 
too, predicts that most of the time public policy will respond to the 
current policy preferences of the average citizen.
Economic-Elite Domination
A quite different theoretical tradition argues that U.S. 
policy making is dominated by individuals who have substantial economic 
resources, i.e., high levels of income or wealth—including, but not 
limited to, ownership of business firms.
Not all “elite theories” share this focus. Some emphasize 
social status or institutional position—such as the occupancy of key 
managerial roles in corporations, or top-level positions in political 
parties, in the executive, legislative, or judicial branches of 
government, or in the highest ranks of the military. Some elite theories
 postulate an amalgam of elites, defined by combinations of social 
status, economic resources, and institutional positions, who achieve a 
degree of unity through common backgrounds, coinciding interests, and 
social interactions.
For example, C. Wright Mills’ important book, The Power Elite,
 offers a rather nuanced account of how U.S. social, economic, 
political, and military elites have historically alternated in different
 configurations of dominance. Mills noted that his elites derived in 
substantial proportions from the upper classes, including the very rich 
and corporate executives, but their elite status was not defined by 
their wealth. 10  Our focus here is on theories that emphasize the policy-making importance of economic elites.
Analyses of U.S. politics centered on economic elites go 
back at least to Charles Beard, who maintained that a chief aim of the 
framers of the U.S. Constitution was to protect private property, 
favoring the economic interests of wealthy merchants and plantation 
owners rather than the interests of the then-majority small farmers, 
laborers, and craft workers. A landmark work in this tradition is G. 
William Domhoff’s detailed account of how elites (working through 
foundations, think-tanks, and an “opinion-shaping apparatus,” as well as
 through the lobbyists and politicians they finance) may dominate key 
issues in U.S. policy making despite the existence of democratic 
elections. Philip A. Burch has exhaustively chronicled the economic 
backgrounds of federal government officials through American history. 
Thomas Ferguson’s analysis of the political importance of “major 
investors” might be seen as a theory of economic elites. Most recently, 
Jeffrey Winters has posited a comparative theory of “Oligarchy,” in 
which the wealthiest citizens—even in a “civil oligarchy” like the 
United States—dominate policy concerning crucial issues of wealth and 
income protection. 11 
Our third and fourth theoretical traditions posit that 
public policy generally reflects the outcome of struggle among organized
 interest groups and business firms. 12 
Majoritarian Pluralism
The roots of what we can characterize as theories of “majoritarian” interest-group pluralism go back to James Madison’s Federalist Paper
 No. 10, which analyzed politics in terms of “factions”—a somewhat fuzzy
 concept that apparently encompassed political parties and even popular 
majorities, as well as what we would today consider organized interest 
groups, business firms, and industrial sectors. Madison argued that 
struggles among the diverse factions that would be found in an extensive
 republic would lead to policies more or less representative of the 
needs and interests of the citizenry as a whole—or at least would tend 
to defeat “tyrannical” policies, including the much-feared issuance of 
inflationary paper money that might cater to local majority factions of 
farmer-debtors but would be costly to merchant creditors. 13
In the twentieth century, Arthur Bentley’s The Process of Government and then David Truman’s monumental The Governmental Process
 put groups at the center of political analysis, laying out a detailed 
picture of how organized interest groups might get their way. Truman 
offered a comprehensive and still-interesting catalogue of lobbying 
techniques and other methods of group influence. He also added an 
ingenious gloss to Madison that tends to increase both the plausibility 
and the normative appeal of majoritarian interest-group pluralism: the 
assertion that all interests have at least a 
minimum of influence in group-dominated policy making, because policy 
makers must (in order to avoid subsequent punishment) heed all 
“potential” groups that would form if their interests were trampled 
upon. 14 
Robert Dahl’s analysis of New Haven city politics was 
Madisonian or Truman-like in its insistence that many (all?) diverse 
interests were represented, though Dahl focused as much on active 
members of the general public as on organized groups. Dahl’s analyses of
 American politics in terms of “polyarchy” or “pluralist democracy” also
 come close to our ideal type of majoritarian pluralist theory, since 
they imply that the wants or needs of the average citizen tend to be 
reasonably well served by the outcomes of interest-group struggle. 
Several contemporary analysts of interest-group politics likewise appear
 to accept (at least implicitly) a picture of group struggle that 
results in more or less majoritarian results. 15 
A major challenge to majoritarian pluralist theories, 
however, is posed by Mancur Olson’s argument that collective action by 
large, dispersed sets of individuals with individually small but 
collectively large interests tends to be prevented by the “free rider” 
problem. Barring special circumstances (selective incentives, 
byproducts, coercion), individuals who would benefit from collective 
action may have no incentive to personally form or join an organized 
group. If everyone thinks this way and lets George do it, the job is not
 likely to get done. This reasoning suggests that Truman’s “potential 
groups” may in fact be unlikely to form, even if millions of peoples’ 
interests are neglected or harmed by government. Aware of the collective
 action problem, officials may feel free to ignore much of the 
population and act against the interests of the average citizen. 16 
Biased Pluralism
Olson’s argument points toward an important variant line of thinking within the pluralist tradition: theories of “biased”
 pluralism, which posit struggles among an unrepresentative universe of 
interest groups—characterized by E.E. Schattschneider as a heavenly 
chorus with an “upper-class accent,” and more recently dubbed by Kay 
Lehman Schlozman, Sidney Verba, and Henry Brady an “unheavenly chorus.” 
Theories of biased pluralism generally argue that both the thrust of 
interest-group conflict and the public policies that result tend to tilt
 toward the wishes of corporations and business and professional 
associations. 17 
Schattschneider suggested that policy outcomes vary with 
the “scope of conflict”: for example, that business-oriented interest 
groups tend to prevail over ordinary citizens when the scope is narrow 
and visibility is low. Grant McConnell added the idea that the actual 
“constituencies” of policy implementers can consist of powerful groups. 
George Stigler (articulating what some economists have scorned as 
“Chicago Marxism”) analyzed the politics of regulation in terms of 
biased pluralism: the capture of regulators by the regulated. Charles 
Lindblom outlined a number of ways—including the “privileged position” 
of business—in which business firms and their associations influence 
public policy. Thomas Ferguson has posited an “investment theory” of 
politics in which “major investors”—especially representatives of 
particular industrial sectors—fund political parties in order to get 
policies that suit their economic interests. Fred Block’s 
“neo-Polanyian” analysis emphasizes groups. Jacob Hacker and Paul 
Pierson’s analysis of “winner-take-all-politics,” which emphasizes the 
power of the finance industry, can be seen as a recent contribution to 
the literature of biased pluralism. 18 
Marxist and neo-Marxist theories of the capitalist state hold that economic classes—and
 particularly the bourgeoisie, the owners of the means of 
production—dominate policy making and cause the state to serve their 
material interests. As the Communist Manifesto 
put it, “The bourgeoisie has . . . conquered for itself, in the modern 
representative State, exclusive political sway. The executive of the 
modern State is but a committee for managing the common affairs of the 
whole bourgeoisie.” 19 
 We cannot precisely test the predictions of such theories, because we 
lack good measures of policy preferences by economic class. (In Marxist 
theory, neither income nor wealth accurately signals class position.) We
 can note, however, that certain “instrumentalist” Marxist theories, 
including the important version put forth by Ralph Miliband, make 
predictions resembling those of theories of Biased Pluralism: that 
interest groups and corporations representing “large scale business” 
tend to prevail. 20
As to empirical evidence concerning interest groups, it is 
well established that organized groups regularly lobby and fraternize 
with public officials, move through revolving doors between public and 
private employment, provide self-serving information to officials, draft
 legislation, and spend a great deal of money on election campaigns. 21 
 Moreover, in harmony with theories of biased pluralism, the evidence 
clearly indicates that most interest groups and lobbyists represent 
business firms or professionals. Relatively few represent the poor or 
even the economic interests of ordinary workers, particularly now that 
the U.S. labor movement has become so weak. 22 
But do interest groups actually influence policy? Numerous 
case studies have detailed instances in which all but the most dedicated
 skeptic is likely to perceive interest-group influence at work. A 
leading classic remains Schattschneider’s analysis of the 1928 enactment
 of the Smoot-Hawley tariff, an astounding orgy of pork-barrel politics. 23 
 Still, many quantitatively-oriented political scientists seem to ignore
 or dismiss such non-quantitative evidence. There have also been some 
efforts (particularly during the Cold War era, when unflattering 
depictions of U.S. politics may have been thought unpatriotic) to 
demonstrate that interest groups have no influence on policy at all. 
Raymond Bauer, Ithiel Pool, and Lewis Anthony Dexter argued that 
business had little or no effect on the renewal of reciprocal trade 
authority. Lester Milbrath, having conducted interviews with lobbyists 
and members of Congress, rated lobbyists’ influence as very low. More 
recently, Fred McChesney has made the ingenious argument that campaign 
contributions from interest groups may not represent quid pro quo 
bribery attempts by groups, but instead result from extortion by 
politicians who threaten to harm the groups’ interests. 24 
Very few studies have offered quantitative evidence 
concerning the impact of interest groups based on a number of different 
public policies. Important exceptions include the work of Mark Smith and
 that of Frank Baumgartner, Jeffrey Berry, Marie Hojnacki, David 
Kimball, and Beth Leech. 25
Mark Smith examined 2,364 “business unity” issues—over a 
period of four decades—on which the U.S. Chamber of Commerce (arguably a
 reasonable proxy for business groups as a whole, on this particular set
 of issues where most businesses agreed) took a public stand for or 
against. He then calculated six measures of the Chamber’s annual rate of
 “success” at getting the action or inaction it favored from Congress. 26  The Chamber’s average success rate in terms of proportion of bills enacted or defeated appears to have been fairly high, 27 
 but Smith did not argue that such success necessarily demonstrates 
influence. (A batting-average approach to influence would have to assume
 that stand-taking is unrelated to expectations of success. Further, in 
order to gauge business’s independent impact and avoid spurious results,
 data on stands taken by other actors would need to be included as 
well.) Instead, Smith devoted most of his effort to analyzing the 
over-time correlates of high or low success, such as variations in the 
public “mood” and in the partisan composition of Congress.
Frank Baumgartner and his colleagues, in their meticulous 
examination of 98 cases of congressional policy making in which interest
 groups were active, investigated whether the magnitude of group 
resources that were deployed was related to outcomes across those cases.
 In their multivariate analyses, Baumgartner et al. found a modest 
tendency for policy outcomes to favor the side that enjoyed greater 
resources (PAC contributions, lobbying expenditures, membership size, 
etc.). 28
Prior to the availability of the data set that we analyze 
here, no one we are aware of has succeeded at assessing interest-group 
influence over a comprehensive set of issues, while taking into account 
the impact of either the public at large or economic elites—let alone 
analyzing all three types of potential influences simultaneously.
Testing Theoretical Predictions
What makes possible an empirical effort of this sort is the
 existence of a unique data set, compiled over many years by one of us 
(Gilens) for a different but related purpose: for estimating the 
influence upon public policy of “affluent” citizens, poor citizens, and 
those in the middle of the income distribution.
Gilens and a small army of research assistants 29 
 gathered data on a large, diverse set of policy cases: 1,779 instances 
between 1981 and 2002 in which a national survey of the general public 
asked a favor/oppose question about a proposed policy change. A total of
 1,923 cases met four criteria: dichotomous pro/con responses, 
specificity about policy, relevance to federal government decisions, and
 categorical rather than conditional phrasing. Of those 1,923 original 
cases, 1,779 cases also met the criteria of providing income breakdowns 
for respondents, not involving a Constitutional amendment or a Supreme 
Court ruling (which might entail a quite different policy-making 
process), and involving a clear, as opposed to partial or ambiguous, 
actual presence or absence of policy change. These 1,779 cases do not 
constitute a sample from the universe of all possible policy 
alternatives (this is hardly conceivable), but we see them as 
particularly relevant to assessing the public’s influence on policy. The
 included policies are not restricted to the narrow Washington “policy 
agenda.” At the same time—since they were seen as worth asking poll 
questions about—they tend to concern matters of relatively high 
salience, about which it is plausible that average citizens may have 
real opinions and may exert some political influence. 30 
For each case, Gilens used the original survey data to 
assess responses by income level. In order to cope with varying income 
categories across surveys, he employed a quadratic logistic regression 
technique to estimate the opinions of respondents at the tenth income 
percentile (quite poor), the fiftieth percentile (median), and the 
ninetieth percentile (fairly affluent). 31 
Here we use these policy preference data to 
measure—imperfectly, but, we believe, satisfactorily—two independent 
variables posited as major influences upon policy making in the 
theoretical traditions discussed above.
Policy preferences at the fiftieth income percentile—that is, the preferences of the median-income
 survey respondent—work quite well as measures of the preferences of the
 average citizen (or, more precisely, the median non-institutionalized 
adult American), which are central to theories of Majoritarian Electoral
 Democracy. 32 
 In all cases in which the relationship between income and preferences 
is monotonic, and in all cases in which there is no systematic 
relationship at all between the two, the preferences of the 
median-income respondent are identical to those of the median-preference
 respondent. In the remaining cases the two are very close to each 
other. 33 
We believe that the preferences of “affluent” Americans at 
the ninetieth income percentile can usefully be taken as proxies for the
 opinions of wealthy or very-high-income Americans, and can be used to 
test the central predictions of Economic-Elite theories. To be sure, 
people at the ninetieth income percentile are neither very rich nor very
 elite; in 2012 dollars, Gilens’ “affluent” respondents received only 
about $146,000 in annual household income. To the extent that their 
policy preferences differ from those of average-income citizens, 
however, we would argue that there are likely to be similar but bigger 
differences between average-income citizens and the truly wealthy.
Some evidence for this proposition comes from the 2011 Cooperative Congressional Election Study. 34 
 Based on 13 policy-preference questions asked on this survey, the 
preferences of the top 2 percent of income earners (a group that might 
be thought “truly wealthy”) are much more highly correlated with the 
preferences of the top 10 percent of earners than with the preferences 
of the average survey respondent (r=.91 versus .69). 35 
 Thus, the views of our moderately high-income “affluent” respondents 
appear to capture useful information about the views of the truly 
wealthy.
In any case, the imprecision that results from use of our “affluent” proxy is likely to produce underestimates
 of the impact of economic elites on policy making. If we find 
substantial effects upon policy even when using this imperfect measure, 
therefore, it will be reasonable to infer that the impact upon policy of
 truly wealthy citizens is still greater. 36
In order to measure interest-group preferences and actions,
 we would ideally like to use an index of the sort that Baumgartner and 
his colleagues developed for their ninety-eight policy issues: an index 
assessing the total resources brought to bear by all major interest 
groups that took one side or the other on each of our 1,779 issues. But 
it is not feasible to construct such an index for all our cases; this 
would require roughly twenty times as much work as did the major effort 
made by the Baumgartner research team on their cases. Fortunately, 
however, Baumgartner et al. found that a simple proxy for their 
index—the number of reputedly “powerful” interest groups (from among 
groups appearing over the years in Fortune 
magazine’s “Power 25” lists) that favored a given policy change, minus 
the number that opposed it—correlated quite substantially in their cases
 with the full interest-group index (r=0.73). 37 
Gilens, using a modified version of this simple count of 
the number of “powerful” interest groups favoring (minus those opposing)
 each proposed policy change, developed a measure of Net Interest Group Alignment.
 To the set of groups on the “Power 25” lists (which seemed to neglect 
certain major business interests) he added ten key industries that had 
reported the highest lobbying expenditures. (For the final list of 
included industries and interest groups, refer to Appendix 1.) For each 
of the 1,779 instances of proposed policy change, Gilens and his 
assistants drew upon multiple sources to code all engaged interest 
groups as “strongly favorable,” “somewhat favorable,” “somewhat 
unfavorable,” or “strongly unfavorable” to the change. He then combined 
the numbers of groups on each side of a given issue, weighting 
“somewhat” favorable or somewhat unfavorable positions at half the 
magnitude of “strongly” favorable or strongly unfavorable positions. In 
order to allow for the likelihood of diminishing returns as the net 
number of groups on a given side increases (an increase from 10 to 11 
groups likely matters less than a jump from 1 to 2 does), he took the 
logarithms of the number of pro groups and the number of con groups 
before subtracting. Thus,
Net Interest-Group Alignment = ln(# Strongly Favor + [0.5 *
 # Somewhat Favor] + 1) – ln(# Strongly Oppose + [0.5 * # Somewhat 
Oppose] + 1). 38 
We also report here results for comparable group alignment 
indices that were computed separately for the mass-based and for the 
business-oriented sets of groups listed in Appendix 1.
Our dependent variable is a measure of whether or not the 
policy change proposed in each survey question was actually adopted 
within four years after the question was asked. (It turns out that most 
of the action occurred within two years). Of course there was nothing 
easy about measuring the presence or absence of policy change for each 
of 1,779 different cases; Gilens and his research assistants spent many 
hours poring over news accounts, government data, Congressional Quarterly publications, academic papers and the like. 39 
In order to test among our theoretical traditions, we begin
 by considering all organized interest groups together, not 
distinguishing between mass-based and business-oriented groups. Within a
 single statistical model, we estimate the independent impact upon our 
dependent variable (policy change) of each of three independent 
variables: the average citizen’s policy preferences (preferences at the 
fiftieth income percentile); the policy preferences of economic elites 
(measured by policy preferences at the ninetieth income percentile); and
 the stands of interest groups (the Net Interest-Group Alignment Index).
Later, in order to distinguish clearly between Majoritarian
 Pluralism and Biased Pluralism, we will use two separate measures of 
net interest-group alignment, one involving only mass-based interest 
groups and the other limited to business and professional groups. The 
main hypotheses of interest, summarized in table 1, follow fairly straightforwardly from our discussion of our four ideal types of theory.
Table 1 Theoretical predictions concerning the independent influence of sets of actors upon policy outcomes
n = little or no independent influence
y = some independent influence
Y = substantial independent influence
In their pure form, theories of Majoritarian Electoral 
Democracy (for example, rational models of electoral competition that 
include no societal actors other than average citizens), predict that 
the influence upon policy of average citizens is positive, significant, 
and substantial, while the influence of other actors is not.
Theories of Economic-Elite Domination predict positive, 
significant, and substantial influence upon policy by economic elites. 
Most such theories allow for some (though not much) independent 
influence by average citizens, e.g., on non-economic social issues. Many
 also allow for some independent influence by business interest 
groups—and therefore probably by interest groups taken as a whole—though
 their emphasis is on wealthy individuals.
In general, theories of interest-group pluralism predict 
that only organized interest groups will have positive, significant, and
 substantial effects upon public policy. Influence proceeds from groups,
 not from wealthy (or other) individuals. Depending upon the type of 
pluralist theory, average citizens may or may not be well represented 
through organized groups, but they do not have a great deal of 
independent influence on their own.
Theories of Majoritarian Pluralism predict that the stands 
of organized interest groups, all taken together, rather faithfully 
represent (that is, are positively and substantially correlated with) 
the preferences of average citizens. But since most political influence 
proceeds through groups, a multivariate analysis
 that includes both interest-group alignments and citizens’ preferences 
should show far more independent influence by the groups than the 
citizens. Truman’s idea of “potential groups” does, however, leave room 
for some direct influence by average citizens.
Theories of Biased Pluralism, too, see organized interest 
groups as having much more influence than average citizens or individual
 economic elites. But they predict that business-oriented groups play 
the major role.
Recognizing the complexity of the political world, we must 
also acknowledge the possibility that more than one of these theoretical
 traditions has some truth to it: that several—even all—of our sets of 
actors may have substantial, positive, independent influence on public 
policy. And we must consider the null hypothesis that none of these theoretical traditions correctly describes even part of what goes on in American politics.
Influence upon Policy of Average Citizens, Economic Elites, and Interest Groups
Before we proceed further, it is important to note that 
even if one of our predictor variables is found (when controlling for 
the others) to have no independent impact on policy at all, it does not 
follow that the actors whose preferences are reflected by that 
variable—average citizens, economic elites, or organized interest groups
 of one sort or another—always “lose” in policy decisions. Policy making
 is not necessarily a zero-sum game among these actors. When one set of 
actors wins, others may win as well, if their preferences are positively
 correlated with each other.
It turns out, in fact, that the preferences of average 
citizens are positively and fairly highly correlated, across issues, 
with the preferences of economic elites (refer to table 2).
 Rather often, average citizens and affluent citizens (our proxy for 
economic elites) want the same things from government. This bivariate 
correlation affects how we should interpret our later multivariate 
findings in terms of “winners” and “losers.” It also suggests a reason 
why serious scholars might keep adhering to both the Majoritarian 
Electoral Democracy and the Economic-Elite Domination theoretical 
traditions, even if one of them may be dead wrong in terms of causal 
impact. Ordinary citizens, for example, might often be observed to “win”
 (that is, to get their preferred policy outcomes) even if they had no 
independent effect whatsoever on policy making, if elites (with whom 
they often agree) actually prevail.
Table 2 Correlations among independent variables
*** p<.001; n=1779.
Note: Entries are correlation coefficients corrected for measurement error as explained in Appendix 2.
But net interest-group stands are not
 substantially correlated with the preferences of average citizens. 
Taking all interest groups together, the index of net interest-group 
alignment correlates only a non-significant .04 with average citizens’ 
preferences! (Refer to table 2.)
 This casts grave doubt on David Truman’s and others’ argument that 
organized interest groups tend to do a good job of representing the 
population as a whole. Indeed, as table 2
 indicates, even the net alignments of the groups we have categorized as
 “mass-based” correlate with average citizens’ preferences only at the 
very modest (though statistically significant) level of .12.
Some particular U.S. membership organizations—especially 
the AARP and labor unions—do tend to favor the same policies as average 
citizens. But other membership groups take stands that are unrelated 
(pro-life and pro-choice groups) or negatively related (gun owners) to 
what the average American wants. 40 
 Some membership groups may reflect the views of corporate backers or 
their most affluent constituents. Others focus on issues on which the 
public is fairly evenly divided. Whatever the reasons, all mass-based 
groups taken together simply do not add up, in aggregate, to good 
representatives of the citizenry as a whole. Business-oriented groups do
 even worse, with a modest negative over-all correlation of -.10.
Nor do we find an association between the preferences of 
economic elites and the alignments of either mass-based or 
business-oriented groups. The latter finding, which surprised us, may 
reflect profit-making motives among businesses as contrasted with 
broader ideological views among elite individuals. For example, economic
 elites tend to prefer lower levels of government spending on 
practically everything, while business groups and specific industries 
frequently lobby for spending in areas from which they stand to gain. 
Thus pharmaceutical, hospital, insurance, and medical organizations have
 lobbied for more spending on health care; defense contractors for 
weapons systems; the American Farm Bureau for agricultural subsidies, 
and so on.
Initial Tests of Influences on Policy Making
The first three columns of table 3 report bivariate
 results, in which each of three independent variables (taking all 
interest groups together, for now) is modeled separately as the sole 
predictor of policy change. Just as previous literature suggests, each 
of three broad theoretical traditions—Majoritarian Electoral Democracy, 
Economic-Elite Domination, and interest-group pluralism—seems to gain 
support. When taken separately, each independent variable—the 
preferences of average citizens, the preferences of economic elites, and
 the net alignments of organized interest groups—is strongly, 
positively, and quite significantly related to policy change. Little 
wonder that each theoretical tradition has its strong adherents.
Table 3 Policy outcomes and the policy preferences of average citizens, economic elites, and interest groups
***p<.001
Note: All predictors are scaled to range from 0 to 1. The 
dependent variable is the policy outcome, coded 1 if the proposed policy
 change took place within four years of the survey date and 0 if it did 
not. Predictors are the logits of the imputed percent of respondents at 
the fiftieth (“average citizens”) or ninetieth (“economic elites”) 
income percentile that favor the proposed policy change, and the Net 
Interest-Group Alignment Index described in the text. Standard errors 
are asymptotically distribution-free, and all analyses reflect estimated
 measurement error in the predictors, as described in Appendix 2. The 
standardized coefficients for model 4 in this table are .01, .21, and 
.16 for average citizens, economic elites, and interest groups, 
respectively. N=1,779.
But the picture changes markedly when all three independent
 variables are included in the multivariate Model 4 and are tested 
against each other. The estimated impact of average citizens’ 
preferences drops precipitously, to a non-significant, near-zero level. 
Clearly the median citizen or “median voter” at the heart of theories of
 Majoritarian Electoral Democracy does not do well when put up against 
economic elites and organized interest groups. 
The chief predictions of 
pure theories of Majoritarian Electoral Democracy can be decisively 
rejected. Not only do ordinary citizens not have uniquely substantial power over policy decisions; they have little or no independent influence on policy at all.
By contrast, economic elites are estimated to have a quite 
substantial, highly significant, independent impact on policy. This does
 not mean that theories of Economic-Elite Domination are wholly upheld, 
since our results indicate that individual elites must share their 
policy influence with organized interest groups. Still, economic elites 
stand out as quite influential—more so than any other set of actors 
studied here—in the making of U.S. public policy.
Similarly, organized interest groups (all taken together, 
for now) are found to have substantial independent influence on policy. 
Again, the predictions of pure theories of interest-group pluralism are 
not wholly upheld, since organized interest groups must share influence 
with economically-elite individuals. But interest-group alignments are 
estimated to have a large, positive, highly significant impact upon 
public policy.
These results suggest that reality is best captured by 
mixed theories in which both individual economic elites and organized 
interest groups (including corporations, largely owned and controlled by
 wealthy elites) play a substantial part in affecting public policy, but
 the general public has little or no independent influence.
The rather low explanatory power of all three independent 
variables taken together (with an R-squared of just .074 in Model 4) may
 partly result from the limitations of our proxy measures, particularly 
with respect to economic elites (since our “affluent” proxy is 
admittedly imperfect) and perhaps with respect to interest groups (since
 only a small fraction of politically-active groups are included in our 
measure). Again, the implication of these limitations in our data is 
that interest groups and economic elites actually wield more
 policy influence than our estimates indicate. 
But it is also possible 
that there may exist important explanatory factors outside the three 
theoretical traditions addressed in this analysis. Or there may be a 
great deal of idiosyncrasy in policy outputs, or variation across kinds 
of issues, that would be difficult for any general model to capture. 
With our present data we cannot tell.
The magnitudes of the coefficients reported in table 3
 are difficult to interpret because of our transformations of the 
independent variables. A helpful way to assess the relative influence of
 each set of actors is to compare how the predicted probability of 
policy change alters when moving from one point to another on their 
distributions of policy dispositions, while holding other actors’ 
preferences constant at their neutral points (50 percent favorable for 
average citizens and for economic elites, and a net interest-group 
alignment score of 0). These changing probabilities, based on the 
coefficients in model 4 of table 3, are line-graphed in figure 1 along with bar graphs of the underlying preference distributions.
Figure 1 Predicted probability 
of policy adoption (dark lines, left axes) by policy disposition; the 
distribution of preferences (gray columns, right axes)
Clearly, when one holds constant net interest-group 
alignments and the preferences of affluent Americans, it makes very 
little difference what the general public thinks. The probability of 
policy change is nearly the same (around 0.3) whether a tiny minority or
 a large majority of average citizens favor a proposed policy change 
(refer to the top panel of figure 1).
By contrast—again with other actors held constant—a 
proposed policy change with low support among economically-elite 
Americans (one out of five in favor) is adopted only about 18 percent of
 the time, while a proposed change with high support (four out of five 
in favor) is adopted about 45 percent of the time. 
Similarly, when 
support for policy change is low among interest groups (with five groups
 strongly opposed and none in favor) the probability of that policy 
change occurring is only .16, but the probability rises to .47 when 
interest groups are strongly favorable (refer to the bottom two panels 
of figure 1). 41 
When both interest groups and affluent Americans oppose a 
policy it has an even lower likelihood of being adopted (these proposed 
policies consist primarily of tax increases). At the other extreme, high
 levels of support among both interest groups and affluent Americans 
increases the probability of adopting a policy change, but a strong 
status quo bias remains evident. Policies with strong support (as 
defined above) among both groups are only adopted about 56 percent of 
the time (strongly favored policies in our data set that failed include 
proposed cuts in taxes, increases in tax exemptions, increased 
educational spending for K–12, college support, and proposals during the
 Clinton administration to add a prescription drug benefit to Medicare).
Majoritarian Electoral Democracy
What are we to make of findings that seem to go against 
volumes of persuasive theorizing and much quantitative research, by 
asserting that the average citizen or the “median voter” has little or 
no independent influence on public policy?
As noted, our evidence does not 
indicate that in U.S. policy making the average citizen always loses 
out. Since the preferences of ordinary citizens tend to be positively 
correlated with the preferences of economic elites, ordinary citizens 
often win the policies they want, even if they are more or less 
coincidental beneficiaries rather than causes of the victory. There is 
not necessarily any contradiction at all between our findings and past 
bivariate findings of a roughly two-thirds correspondence between actual
 policy and the wishes of the general public, or of a close 
correspondence between the liberal/conservative “mood” of the public and
 changes in policy making. 42 
 Our main point concerns causal inference: if interpreted in terms of 
actual causal impact, the prior findings appear to be largely or wholly 
spurious.
Further, the issues about which economic elites and 
ordinary citizens disagree reflect important matters, including many 
aspects of trade restrictions, tax policy, corporate regulation, 
abortion, and school prayer, so that the resulting political losses by 
ordinary citizens are not trivial. Moreover, we must remember that in 
our analyses the preferences of the affluent are serving as proxies for 
those of truly wealthy Americans, who may well have more political clout
 than the affluent, and who tend to have policy preferences that differ 
more markedly from those of the average citizens. Thus even rather 
slight measured differences between preferences of the affluent and the 
median citizen may signal situations in which economic-elites want 
something quite different from most Americans and they generally get 
their way.
A final point: Even in a bivariate, descriptive sense, our 
evidence indicates that the responsiveness of the U.S. political system 
when the general public wants government action 
is severely limited. Because of the impediments to majority rule that 
were deliberately built into the U.S. political system—federalism, 
separation of powers, bicameralism—together with further impediments due
 to anti-majoritarian congressional rules and procedures, the system has
 a substantial status quo bias. Thus when popular majorities favor the 
status quo, opposing a given policy change, they are likely to get their
 way; but when a majority—even a very large majority—of the public 
favors change, it is not likely to get what it wants. In our 1,779 
policy cases, narrow pro-change majorities of the public got the policy 
changes they wanted only about 30 percent of the time. More strikingly, 
even overwhelmingly large pro-change majorities, with 80 percent of the 
public favoring a policy change, got that change only about 43 percent 
of the time.
In any case, normative advocates of populistic democracy 
may not be enthusiastic about democracy by coincidence, in which 
ordinary citizens get what they want from government only when they 
happen to agree with elites or interest groups that are really calling 
the shots. When push comes to shove, actual influence matters.
Economic Elites
Economic-Elite Domination theories do rather well in our 
analysis, even though our findings probably understate the political 
influence of elites. Our measure of the preferences of wealthy or elite 
Americans—though useful, and the best we could generate for a large set 
of policy cases—is probably less consistent with the relevant 
preferences than are our measures of the views of ordinary citizens or 
the alignments of engaged interest groups. Yet we found substantial 
estimated effects even when using this imperfect measure. The real-world
 impact of elites upon public policy may be still greater.
What we cannot do with these data is distinguish 
definitively among different versions of elite theories. We cannot be 
sure whether we are capturing the political influence of the wealthiest 
Americans (the top 1 percent of wealth-holders? the top one-tenth of 1 
percent?), or, conceivably, the less affluent but more numerous citizens
 around the ninetieth income percentile whose preferences are directly 
gauged by our measure.
In any case, we need to reiterate that our data concern economic
 elites. Income and wealth tend to be positively correlated with other 
dimensions of elite status, such as high social standing and the 
occupancy of high-level institutional positions, but they are not the 
same thing. We cannot say anything directly about the non-economic 
aspects of certain elite theories, especially those that emphasize 
actors who may not be highly paid, such as public officials and 
political party activists.
Organized Interest Groups
Our findings of substantial influence by interest groups is
 particularly striking because little or no previous research has been 
able to estimate the extent of group influence while controlling for the
 preferences of other key non-governmental actors. Our evidence clearly 
indicates that—controlling for the influence of both the average citizen
 and economic elites—organized interest groups have a very substantial 
independent impact upon public policy. Theories of interest-group 
pluralism gain a strong measure of empirical support.
Here, too, the imperfections of our measure of 
interest-group alignment (though probably less severe than in the case 
of economically-elite individuals) suggest, a fortiori,
 that the actual influence of organized groups may be even greater than 
we have found. If we had data on the activity of the thousands of groups
 not included in our net interest-group alignment measure, we might find
 many cases in which a group (perhaps unopposed by any other groups) got
 its way. This might be particularly true of narrow issues like special 
tax breaks or subsidies aimed at just one or two business firms, which 
are underrepresented in our set of relatively high-salience policies. 
(Our data set includes only policies thought to be important enough for a
 national opinion survey to ask a question about it.)
An important feature of interest group influence is that it is often deployed against
 proposed policy changes. On the 1,357 proposed policy changes for which
 at least one interest group was coded as favoring or opposing change, 
in only 36 percent of the cases did most groups favor change, while in 
55 percent of the cases most groups opposed change. (The remaining cases
 involved equal numbers for and against.) 43 
Distinguishing between Majoritarian Pluralism and Biased Pluralism
Can we say anything further about whether processes of 
interest-group influence more closely resemble Truman-like, broadly 
representative Majoritarian Pluralism, or Schattschneider-style “Biased”
 Pluralism, in which business interests, professional associations, and 
corporations play the dominant part?
We have already reported several findings that cast serious
 doubt upon Majoritarian Pluralism. If the net results of interest-group
 struggle were to help average citizens get their way—with organized 
groups perhaps representing citizens more effectively than 
politically-inattentive Americans could do for themselves—we would 
expect that the net alignment of interest groups would be positively and
 strongly correlated with the policy preferences of the average citizen.
 But we know from table 2
 that they are not in fact significantly correlated at all. 
Interest-group alignments are almost totally unrelated to the 
preferences of average citizens. Moreover, there is no indication that 
officials’ anticipation of reactions from “potential groups” brings 
policies in line with what citizens want. 44 
 Empirical support for Majoritarian Pluralism looks very shaky, indeed. 
We also know that the composition of the U.S. interest-group universe is
 heavily tilted toward corporations and business and professional 
associations. 45  This fact certainly points toward Biased rather than Majoritarian Pluralism.
To go a step further, theories of Majoritarian Pluralism 
predict relatively more independent influence upon policy by mass-based 
interest groups than do theories of Biased Pluralism. It may be useful, 
therefore, to distinguish between mass-based and business-oriented 
interest groups and to investigate how much policy influence each group 
actually has.
Accordingly, we computed separate 
net-interest-group-alignment indices for business-oriented and for 
mass-based groups (refer to Appendix 1 for lists of each) and included 
both of them in a new multivariate analysis, along with the preferences 
of average citizens and economic elites—dropping our previous measure of
 the net alignment of all interest groups.
The results of this analysis are given in table 4.
 Clearly the predictions of Biased Pluralism theories fare substantially
 better than those of Majoritarian Pluralism theories. The influence 
coefficients for both mass-based and business-oriented interest groups 
are positive and highly significant statistically, but the coefficient 
for business groups is nearly twice as large as that for the mass 
groups. Moreover, when we restricted this same analysis to the smaller 
set of issues upon which both types of groups took positions—that is, 
when we considered only cases in which business-based and mass-based 
interest groups were directly engaged with each other—the contrast 
between the estimated impact of the two types of groups was even 
greater. 46 
Table 4 The separate policy impact of business-oriented and mass-based interest groups
***p<.001
Note: All predictors are scaled to range from 0 to 1. The 
dependent variable is the policy outcome, coded 1 if the proposed policy
 change took place within four years of the survey date and 0 if it did 
not. Predictors are the logits of the imputed percent of respondents at 
the fiftieth (“average citizens”) or ninetieth (“economic elites”) 
income percentile that favor the proposed policy change, and the Net 
Interest-Group Alignment Indices described in the text. Standard errors 
are asymptotically distribution-free, and all analyses reflect estimated
 measurement error in the predictors, as described in Appendix 2. 
N=1,779.
The advantage of business-oriented groups in shaping policy
 outcomes reflects their numerical advantage within the interest-group 
universe in Washington, and also the infrequency with which business 
groups are found simultaneously on both sides of a proposed policy 
change. 47 
 Both these factors (numerical dominance and relative cohesion) play a 
part in the much stronger correlation of the overall interest-group 
alignment index with business groups than with mass-oriented groups (.96
 versus .47, table 2).
 The importance of business groups’ numerical advantage is also revealed
 when we rescale our measures of business and mass-oriented 
interest-group alignments to reflect the differing number of groups in 
each of these categories. Using this rescaled measure, a parallel 
analysis to that in table 4 shows that on a group-for-group basis
 the average individual business group and the average mass-oriented 
group appears to be about equally influential. The greater total 
influence of business groups in our analysis results chiefly from the 
fact that more of them are generally engaged on each issue (roughly 
twice as many, on average), not that a single business-oriented group 
has more clout on average than a single mass-based group. 48 
Taken as a whole, then, our evidence strongly indicates 
that theories of Biased Pluralism are more descriptive of political 
reality than are theories of Majoritarian Pluralism. It is simply not 
the case that a host of diverse, broadly-based interest groups take 
policy stands—and bring about actual policies—that reflect what the 
general public wants. Interest groups as a whole do not seek the same 
policies as average citizens do.
“Potential groups” do not fill the gap.
 Relatively few mass-based interest groups are active, they do not (in 
the aggregate) represent the public very well, and they have less 
collective impact on policy than do business-oriented groups—whose 
stands tend to be negatively related to the 
preferences of average citizens. These business groups are far more 
numerous and active; they spend much more money; and they tend to get 
their way.
Table 4
 also confirms our earlier findings about economic elites and median 
voters. When the alignments of business-oriented and mass-based interest
 groups are included separately in a multivariate model, average 
citizens’ preferences continue to have essentially zero estimated impact
 upon policy change, while economic elites are still estimated to have a
 very large, positive, independent impact.
American Democracy?
Each of our four theoretical traditions (Majoritarian 
Electoral Democracy, Economic-Elite Domination, Majoritarian 
Interest-Group Pluralism, and Biased Pluralism) emphasizes different 
sets of actors as critical in determining U.S. policy outcomes, and each
 tradition has engendered a large empirical literature that seems to 
show a particular set of actors to be highly influential. Yet nearly all
 the empirical evidence has been essentially bivariate. Until very 
recently it has not been possible to test these theories against each 
other in a systematic, quantitative fashion.
By directly pitting the predictions of ideal-type theories 
against each other within a single statistical model (using a unique 
data set that includes imperfect but useful measures of the key 
independent variables for nearly two thousand policy issues), we have 
been able to produce some striking findings. One is the nearly total 
failure of “median voter” and other Majoritarian Electoral Democracy 
theories. When the preferences of economic elites and the stands of 
organized interest groups are controlled for, the preferences of the 
average American appear to have only a minuscule, near-zero, 
statistically non-significant impact upon public policy.
The failure of theories of Majoritarian Electoral Democracy
 is all the more striking because it goes against the likely effects of 
the limitations of our data. The preferences of ordinary citizens were 
measured more directly than our other independent variables, yet they 
are estimated to have the least effect.
Nor
 do organized interest groups substitute for direct citizen influence, 
by embodying citizens’ will and ensuring that their wishes prevail in
 the fashion postulated by theories of Majoritarian Pluralism. Interest 
groups do have substantial independent impacts on policy, and a few 
groups (particularly labor unions) represent average citizens’ views 
reasonably well. But the interest-group system as a whole does not. 
Overall, net interest-group alignments 
are not significantly related to 
the preferences of average citizens.
The net alignments of the most influential, business-oriented groups are negatively related to the average citizen’s wishes.
 So existing interest groups do not serve effectively as transmission 
belts for the wishes of the populace as a whole. “Potential groups” do 
not take up the slack, either, since average citizens’ preferences have 
little or no independent impact on policy after existing groups’ stands 
are controlled for.
Furthermore, the preferences of economic elites (as 
measured by our proxy, the preferences of “affluent” citizens) have far 
more independent impact upon policy change than the preferences of 
average citizens do. To be sure, this does not mean that ordinary 
citizens always lose out; they fairly often get the policies they favor,
 but only because those policies happen also to be preferred by the 
economically-elite citizens who wield the actual influence.
Of course our findings speak most directly to the “first 
face” of power: the ability of actors to shape policy outcomes on 
contested issues. But they also reflect—to some degree, at least—the 
“second face” of power: the ability to shape the agenda of issues that 
policy makers consider. The set of policy alternatives that we analyze 
is considerably broader than the set discussed seriously by policy 
makers or brought to a vote in Congress, and our alternatives are (on 
average) more popular among the general public than among interest 
groups. Thus the fate of these policies can reflect policy makers’ 
refusing to consider them rather than considering but rejecting them. 
(From our data we cannot distinguish between the two.) Our results speak
 less clearly to the “third face” of power: the ability of elites to 
shape the public’s preferences. 49 
 We know that interest groups and policy makers themselves often devote 
considerable effort to shaping opinion. If they are successful, this 
might help explain the high correlation we find between elite and mass 
preferences. But it cannot have greatly inflated our estimate of average
 citizens’ influence on policy making, which is near zero.
What do our findings say about democracy in America? They 
certainly constitute troubling news for advocates of “populistic” 
democracy, who want governments to respond primarily or exclusively to 
the policy preferences of their citizens. In the United States, our 
findings indicate, the majority does not rule—at
 least not in the causal sense of actually determining policy outcomes. 
When a majority of citizens disagrees with economic elites or with 
organized interests, they generally lose. Moreover, because of the 
strong status quo bias built into the U.S. political system, even when 
fairly large majorities of Americans favor policy change, they generally
 do not get it.
A possible objection to populistic democracy is that 
average citizens are inattentive to politics and ignorant about public 
policy; why should we worry if their poorly-informed preferences do not 
influence policy making? Perhaps economic elites and interest-group 
leaders enjoy greater policy expertise than the average citizen does. 
Perhaps they know better which policies will benefit everyone, and 
perhaps they seek the common good, rather than selfish ends, when 
deciding which policies to support.
But we tend to doubt it. We believe instead 
that—collectively—ordinary citizens generally know their own values and 
interests pretty well, and that their expressed policy preferences are 
worthy of respect. 50 
 Moreover, we are not so sure about the informational advantages of 
elites. Yes, detailed policy knowledge tends to rise with income and 
status. Surely wealthy Americans and corporate executives tend to know a
 lot about tax and regulatory policies that directly affect them. But 
how much do they know about the human impact of Social Security, 
Medicare, food stamps, or unemployment insurance, none of which is 
likely to be crucial to their own well-being?  
Most important, we see no 
reason to think that informational expertise is always accompanied by an
 inclination to transcend one’s own interests or a determination to work
 for the common good.
All in all, we believe that the public is likely to be a 
more certain guardian of its own interests than any feasible 
alternative.
Leaving aside the difficult issue of divergent interests 
and motives, we would urge that the superior wisdom of economic elites 
or organized interest groups should not simply be assumed. It should be 
put to empirical test. New empirical research will be needed to pin down
 precisely who knows how much, and what, about which public policies.
Our findings also point toward the need to learn more about
 exactly which economic elites (the “merely affluent”? the top 1 
percent? the top one-tenth of 1 percent?) have how much impact upon 
public policy, and to what ends they wield their influence.  
Similar 
questions arise about the precise extent of influence of particular sets
 of organized interest groups. And we need to know more about the policy
 preferences and the political influence of various actors not 
considered here, including political party activists, government 
officials, and other non-economic elites. We hope that our work will 
encourage further exploration of these issues.
Despite the seemingly strong empirical support in previous 
studies for theories of majoritarian democracy, our analyses suggest 
that majorities of the American public actually have little influence 
over the policies our government adopts. Americans do enjoy many 
features central to democratic governance, such as regular elections, 
freedom of speech and association, and a widespread (if still contested)
 franchise. But we believe that if policymaking is dominated by powerful
 business organizations and a small number of affluent Americans, then 
America’s claims to being a democratic society are seriously threatened."
Notes
1 Tocqueville 2000, 235–49. 
Tocqueville focused on state governments, which he said “really 
direct[ed]” American society; he noted that the Founders had imposed 
limits on direct democracy in the federal government (235, n. 1.) Yet he
 asserted in general terms that “[t]he laws of democracy . . . emanate 
from the majority of all citizens”; 222.
2 Lincoln 1863. Dahl 1956,
 ch. 2, defined “populistic democracy” in terms of pure majority rule 
and traced its theoretical roots to Aristotle’s political equality, 
Locke’s “majority power,” Rousseau’s “general will” of the majority, and
 James Madison’s “republican principle,” and critically analyzed its 
normative properties.
3 Hotelling 1929; Black 1948, 1958; Downs 1957.
 In his full-information ch. 2, Downs offers a clever though somewhat 
indeterminate non-dimensional version of the theory; in ch. 8 he 
explicates a variant of Hotelling’s single-dimensional version. For 
extensions to multiple dimensions see Davis, Hinich, and Ordeshook 1970.
 May’s Theorem establishes that simple majority rule is the only 
collective decision rule for choosing between two alternatives that 
satisfies the Arrow-type democratic conditions of decisiveness, 
anonymity, neutrality, and positive responsiveness to individuals’ 
preferences; May 1952.
5 A particularly trenchant critique is given in Ferguson 1995 (Appendix: “Deduced and Abandoned”).
8 Key 1961, ch. 11 and 472–76; Fiorina 1981; Zaller 2003.
 A variant on this logic that focuses on the possibility of politicians 
“pandering” to current preferences under certain conditions is given in 
Canes-Wrone, Herron, and Shotts 2001. “Latent” preferences are the 
collective policy preferences that citizens would derive from their 
basic needs and values if they had accurate information about the future
 unfolding of policy results. Such “latent” preferences are related to 
the ideal, “authentic” preferences that some political theorists see as 
superior to, and more worthy of governmental responsiveness than, the 
policy preferences that citizens actually express. This can be seen as 
adding normative appeal to an electoral-reward-and-punishment system of 
democratic control. See Mansbridge 2003.
9 See Page and Shapiro 1992.
10 Mills 1959, ch. 12, especially 279. Robert Michels 2001, a founder of modern elite theory, emphasized positions of leadership in political parties.
Some of Theda Skocpol’s early work (e.g., Skocpol and Finegold 1982) can be seen as based on a state-centric elite theory that emphasizes public officials. Beginning with Protecting Soldiers and Mothers
 (1992), however, Skocpol’s analyses of American politics have paid more
 attention to non-state elites, social movements, organized interest 
groups, and the preferences of the general public. Thus Skocpol’s work, 
like that of a number of other important scholars of American politics 
(e.g., Katznelson 2013), does not fit neatly into our simple theoretical categories.
The boundary between elite theories that focus on 
economically-elite individuals, and interest group theories that focus 
on organized corporate interests (discussed later), is not always a 
sharp one. Here we treat most theories that emphasize corporate 
organizations or industrial sectors (e.g., Block 2007, Ferguson 1995)
 as primarily constituting “interest group” rather than elite theories. 
We categorize self-identified elite theorists like Domhoff as such even 
if they emphasize business elites and treat corporate organizations as 
important mechanisms of influence. Winters 2011 may come closest to an exclusive focus on wealthy individuals rather than organizations.
One might argue that the economic classes
 central to classical Marxist theories amount to “economic elites.” But 
Marxist theorists see class position as only imperfectly related to 
wealth or income, and their focus on ownership of the means of 
production suggests that business firms and business associations may be
 the key political actors. Hence we will discuss these theories in 
connection with corporations and organized interest groups, noting the 
kinship of “instrumentalist” Marxist theories to theories of biased 
pluralism.
12 The term “interest group” 
tends to evoke images of membership groups like the League of Women 
Voters or the National Rifle Association, but many politically important
 “groups” are in fact business corporations.
13 Hamilton, Madison, and Jay 1961, 77–84.
16 Olson 1965.
19 Marx and Engels 1972. This English-language text comes from the 1888 publication edited by Engels.
20 Miliband 1969, ch. 6. Fred Block (1977)
 makes a critical distinction between “instrumentalist” Marxist theories
 like Miliband’s, in which politically conscious members of ruling class
 use their economic resources to shape state action in their own 
material interests, and “structural” theories, in which the capitalist 
economic system itself tends to shape state policies and the preferences
 of its citizens—including workers, who are compelled to accept low 
wages and high capitalist profits for the sake of future investment and 
growth. On alternative Marxist theories of power, see also Isaac 1987b. For a formalized structural Marxist theory, see Przeworski and Wallerstein 1982.
21 Again, our data can do little to distinguish among these or other mechanisms of political influence. We focus on possible sources of influence among individuals and groups in society.
22 Schlozman, Verba, and Brady 2012, ch. 10–14, especially 321, 329, 356.
23 Schattschneider 1935.
26 Smith 2000, ch. 3.
27 Numerical success rates are not reported in Smith 2000,
 but the “enactment scorecard” line in figure 4.1 (83) appears to show 
Chamber success on 60 percent or more of the bills in most years, with 
very substantial variation from year to year.
28 Baumgartner et al. 2009,
 233, 235. These multivariate results may be biased downwards because 
the regressions include as independent variables congressional and 
executive branch officials’ active support for (or opposition to) policy
 changes. Since officials’ behavior may well have been influenced by the
 interest groups themselves, the inclusion of these predictors restricts
 the estimates of group influence to direct effects, excluding any indirect impact that was channeled through interest groups’ influence over officials.
On the other hand, the omission of other influential actors
 from the analysis could (if their preferences were positively 
correlated with those of interest groups) produce spuriously inflated 
estimates of interest-group influence. A further complexity in assessing
 interest-group influence involves policy cases in which groups take no 
stand at all, which are not included in the analysis by either Smith or 
Baumgartner et al. Inclusion of no-stand cases would be necessary if one
 sought to assess the extent to which groups affect over-all policy 
results—though not for assessing the extent of group influence in the 
cases where influence attempts are actually made.
29 Appreciation for their fine 
work in assisting with the colossal task of collecting and coding these 
data goes to Marty Cohen, Jason Conwell, Andrea Vanacore, and Mark West 
at UCLA, and Oleg Bespalov, Daniel Cassino, Kevin Collins, Shana 
Gadarian, Raymond Hicks, and Lee Shaker at Princeton.
30 Arguments for the normative and empirical relevance of the “survey agenda” are discussed in Gilens 2012,
 50–56. Note that if (as we find) the public has little or no influence 
on our issues, which tilt toward high salience, it is unlikely that the 
public has much influence on more technical or obscure matters.
31 In 2012, the tenth percentile
 of household income was about $12,200, the fiftieth percentile about 
$51,000, and the ninetieth percentile about $146,000 (U.S. Census 
Bureau, 2013). For further detail on these data, see Gilens 2012, 57–66.
32 Of course the average 
(median) citizen is not identical to the eligible or actual “median 
voter.” But the generally small magnitude of differences between the 
policy preferences of voters and those of all citizens (Wolfinger and 
Rosenstone 1980, 109–114; Schlozman, Verba, and Brady 2012,
 120–21) suggests that our measure captures the spirit of median voter 
theories. To the extent that differences exist, we consider the average 
citizen to be of greater normative—though less empirical—importance.
33 To make an approximate 
assessment of the fit between the preferences of the median-preference 
respondent and those of the median-income respondent we calculated the 
median preference within each of five income groups (at the tenth, 
thirtieth, fiftieth, seventieth, and ninetieth percentiles). For 
example, if, on a particular non-monotonic item, the five income groups 
had imputed median preferences of .50, .60, .70 .65 and .55 (for the 
tenth to ninetieth income percentiles, respectively), then the estimated
 over-all median preference would be .60 (in this case equaling the 
preference at the thirtieth income percentile). In most cases the 
over-all median preference is the same as the median income (fiftieth 
percentile) preference. When it is not, the preference differences 
across income levels tend to be small. Using this technique, the median 
over-all preferences and the median-income preferences track each other 
very closely: r=.997.
34 This study is one of the few 
surveys that meets the two criteria of having a sufficiently large 
sample size (n=20,150) and a high enough top-coded income category to 
provide information on the policy preferences of very affluent 
Americans.
35 Correlations of the policy 
preferences of the top 2 percent with those of the top 10 percent are 
based on the 76 CCES respondents who reported at least $350,000 in 
family income. Using the 179 CCES respondents who reported at least 
$250,000 (roughly the top 4.5 percent of the income distribution), the 
corresponding correlations are .97 and .76.
Some corroborating evidence comes from a comparison of the 
Survey of Economically Successful Americans (Page, Bartels, and 
Seawright 2013), based on a local sample of the wealthiest 1 percent or 2 percent of Americans, and the Inequality Survey (Page and Jacobs 2009),
 which was based on a representative sample of the American public. 
Eight policy-preference questions that were included on both surveys 
showed that the preferences of the top 25 percent of income earners 
generally fell about half way between those of the average citizen and 
those of the wealthy. For similar findings concerning the policy 
preferences of the top 4 percent or so of income earners, see Page and 
Hennessy 2008.
36 We distinguish conceptually 
between two sorts of deficiencies in our measures: flaws that affect the
 relationship between our indictors and their underlying concepts (such 
as the random and correlated measurement errors we discuss in the 
appendix), and flaws that arise from the imperfect fit between those 
concepts and the characteristics we would prefer to measure. For 
example, the adjustments described in the appendix help us to improve 
our estimates of the preferences of Americans at the ninetieth income 
percentile, but they cannot help to make those estimates any more 
accurate as indicators of the preferences of the truly rich Americans 
whose views we would prefer to include in our models.
37 Baumgartner et al. 2009,
 225. We believe that our measure of net interest group alignment 
(described later) is actually superior to the Fortune 25 proxy examined 
by Baumgartner et al. because it includes industries that do not lobby 
through centralized trade organizations, it is nonlinear in net number 
of groups, and it reflects the extent to which a particular issue is 
central to the concerns of an interest group or industry.
38 For more detail on the Index of Net Interest Group Alignment, see Gilens 2012, 127–30.
39 On the measurement of policy change, see Gilens 2012 (60) and note 18 (284).
40 For correlations of individual groups’ positions with average citizens’ preferences see Gilens 2012, 156–57.
41 These particular values for 
low and high levels of support among affluent Americans and interest 
groups were chosen because about 15 percent of all proposed policy 
changes generated either less than 20 percent or more than 80 percent 
support among the affluent, and about fifteen percent of all proposed 
changes on which interests groups took a position generated a raw net 
interest group score of either more than five groups strongly in favor 
or more than five groups strongly opposed (counting “somewhat” favorable
 or opposed as one-half of a group).
43 Perhaps counterintuitively, it turns out that business groups tilted somewhat less
 toward opposing proposed changes (33 percent opposed, 26 percent in 
favor) than mass-based groups did (38 percent opposed, 20 percent in 
favor.)
44 Even if existing organized 
groups did not reflect the wishes of average citizens, officials’ 
anticipated reactions to unformed “potential groups” might in theory 
provide some representation for average citizens, as David Truman argued
 they do. But our table 3
 finding of negligible independent influence by average citizens when 
existing organized interest groups’ positions are controlled for, leaves
 little room for potential groups (and officials’ anticipation of them) 
to advance the preferences of ordinary citizens.
45 Schlozman, Verba, and Brady 2012, ch. 10–14, especially 321, 329, 356.
46 For the 369 out of 1,779 
cases in which both business-based and mass-based interest groups took a
 stand, the coefficients are just .09 (n.s.) for mass groups but .48** 
(p<.001) for business groups.
47 For those proposed policy 
changes on which at least one business-oriented group took a position, 
another business-oriented group was found on the opposite side less than
 5 percent of the time. Interestingly, mass-based groups were somewhat 
more likely to take stands on both sides of an issue, for example 
pro-life and pro-choice groups on abortion, or the AARP which opposed 
the Clinton health reform plan and the AFL-CIO that favored it.
48 For the analysis in table 4,
 both the business and mass interest group indices were scaled to run 
from 0 to 1. When we rescaled these indices to reflect the differing 
numbers of business and mass-based groups engaged on each issue, the 
standard deviation of the business alignment index was .158 and the 
mass-oriented index .096; their associations with policy outcomes 
(analogous to those shown in table 4) were almost identical, at .38 (p<.01) and .40 (p<.001), respectively.
Supplementary Materials
- 
Business- and Mass-Based Interest-Groups Included in Net Group Alignment Indices
- 
Correcting for Measurement Error
- 
Table A1. Ordinary least squares analysis parallel to the structural equation model presented in table 3.
- 
Data/code for replicating results http://dx.doi.org/10.1017/S1537592714001595″
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