Eric Schulman
Alexandria, Virginia
5,628,855 Google hits.
1. Introduction
In this third paper on measuring fame quantitatively
we present an easy-to-use method for
classifying
celebrities as a function of fame.
Our research over the past six
years has shown that everyone is famous to some
extent and that Internet search engines can measure the exact fame of
any person (see Schulman
1999 and Schulman
and
Boissier 2001). Our method for quantifying fame is simple and
relies on our previous identification of the universal standard for
fame comparison--Monica
Lewinsky. Anyone's fame can be precisely determined by comparing
the number of search engine hits for that person to the number of
search
engine hits for Monica
Lewinsky.
The concept of classifying people as
'A' List
Celebrities, 'B' List Celebrities, and so on is well known, but
previous researchers have relied almost exclusively on vague celebrity
classification methods such as informal surveys of various research
journals. For example, an 'A' List Celebrity might be the subject of a
cover story in Time, the picture of a 'B' List
Celebrity might appear on the cover of People
Magazine, the money troubles of a 'C' List Celebrity might
be discussed in the pages of The National Enquirer, and a
'D' List Celebrity might be mentioned briefly on National Public Radio. These methods
suffer from multiple
problems, including subjectivity, lack of reproducibility, and a
notable
failure of the methods to properly classify people with low levels of
fame. The quantitative method we present here avoids all these
problems.
2. Methods
Our method of celebrity classification relies on the
fact that human responses
to
stimuli are not linear. For example, a first magnitude star is 2.5
times brighter than a second magnitude star, which is 2.5 times
brighter than a third magnitude star, and so on (Pogson 1856). Such a
relationship is called logarithmic. Many scientists since the late 19th
century have believed that the responses of our senses of sight,
hearing, smell, taste, and touch are logarithmic (e.g., Fechner 1860). In
this paper we propose that the Weber-Fechner Law
of human perception also applies to fame, such that people we perceive
as 'A' List Celebrities are on average ten times more famous than
people we perceive as 'B'
List Celebrities, who are on average ten times more famous than people
we perceive as 'C' List Celebrities, and so on.
We classified people in seven different fields
(business, film, music, politics, religion, science, and sports) as a
function of their fame in terms of the logarithmic international
standard unit of
fame, the dBLw:
3. Results
Table 1 shows our classification of 49 people in
seven different fields.
The Hits column lists the number of Google hits that each person had on
October 24, 2005; the Fame column lists their fame in dBLw; and the
List column shows their celebrity category.
Table 1: Classified Celebrities
| Name | Field | Hits | Fame | List |
| Bill Gates | Business | 19900000 | 10.48 | A |
| Bill Clinton | Politics | 18300000 | 10.12 | |
| Jesus Christ | Religion | 18100000 | 10.07 | |
| The Beatles | Music | 12300000 | 8.39 | |
| Albert Einstein | Science | 12200000 | 8.36 | |
| Jennifer Lopez | Film | 7600000 | 6.30 | |
| Paul McCartney | Music | 7120000 | 6.02 | |
| Tiger Woods | Sports | 6580000 | 5.68 | |
| John Lennon | Music | 6030000 | 5.30 | |
| Anna Kournikova | Sports | 2570000 | 1.60 | B |
| George Harrison | Music | 2220000 | 0.96 | |
| Ringo Starr | Music | 1940000 | 0.37 | |
| Carl Sagan | Science | 1920000 | 0.33 | |
| Monica Lewinsky | Politics | 1780000 | 0.00 | |
| John Calvin | Religion | 1090000 | -2.13 | |
| Marisa Tomei | Film | 934000 | -2.80 | |
| Esther Dyson | Business | 586000 | -4.83 | |
| Jason Mewes | Film | 238000 | -8.74 | C |
| Jerry Yang | Business | 227000 | -8.94 | |
| Nadia Comaneci | Sports | 190000 | -9.72 | |
| Rush Holt | Politics | 173000 | -10.12 | |
| Murray Gell-Mann | Science | 168000 | -10.25 | |
| Gerald Gardner | Religion | 90400 | -12.94 | |
| Eddie From Ohio | Music | 88700 | -13.02 | |
| Ryan Zimmerman | Sports | 54600 | -15.13 | D |
| Charlie Melancon | Politics | 54500 | -15.14 | |
| Leonard Mlodinow | Science | 44900 | -15.98 | |
| Shelagh
Fraser |
Film |
16500 |
-20.33 |
|
| Mary Furlong | Business | 16100 | -20.44 | |
| Israel ben Eliezer | Religion | 16100 | -20.44 | |
| Lisa Moscatiello | Music | 13300 | -21.27 | |
| Michael Clem | Music | 1310 | -31.33 | E |
| Melanie Rapp | Politics | 1030 | -32.38 | |
| Marie Pillet | Film | 796 | -33.50 | |
| Allison Powell | Science | 724 | -33.91 | |
| Chinmoy Kumar Ghose | Religion | 688 | -34.13 | |
| Robbie Schaefer | Music | 641 | -34.44 | |
| Kerry Donley | Politics | 533 | -35.24 | F |
| Julie Murphy Wells | Music | 490 | -35.60 | |
| Eithne Fennel | Film | 303 | -37.69 | |
| Eddie Hartness | Music | 295 | -37.81 | |
| Earle Spamer | Science | 197 | -39.56 | |
| James Kibo Perry | Religion | 143 | -40.95 | |
| H. Leon Denizard Rivail | Religion | 55 | -45.10 | G |
| Wendy Seligman | Music | 52 | -45.34 | |
| Joshua Gitelson | Film | 30 | -47.73 | |
| Daniel T. Arcieri | Science | 19 | -49.72 | |
| Angela Sodolak | Politics | 11 | -52.09 | |
| Elisabeth Scheneman | Politics | 3 | -57.73 | H |
4. Discussion
Although our method produces consistent results for
all researchers, these results are not constant with
time. For example, the Lennon
Theorem (1966) stated that The
Beatles were "more popular than Jesus" but this
is no longer true. In the four years since Schulman
and Boissier (2001), The
Beatles have become less famous than Jesus
Christ while Bill
Clinton and Bill
Gates have become more famous than
Jesus
Christ.
Our method has many uses. For example, until now
organizations soliciting celebrities for fund-raising events had to
rely on
expensive consultants to tell them which celebrities would be
appropriate for the level of contributions expected. But with our
method, 'C' List organizations such as the Daughters of the American Revolution
will only require a few minutes to find
that Jason
Mewes or Nadia
Comaneci have the appropriate level of fame
for their purposes. 'D' List organizations may want to note that the
author of this paper is a 'D' List Celebrity in the field of
science.
5. Conclusion
Google can be used to quickly, easily, and
reproducibly categorize celebrities at all levels of fame.
References
Fechner, G. T.
1860, Elemente der Psychophysik.
Lennon,
J. 1966, London Evening Standard, March 4.
Pogson,
N. 1856, "Magnitudes
of Thirty-six of the Minor Planets for the First Day of
each Month of the Year 1857," Monthly
Notices of the Royal Astronomical Society, 17, 12.
Schulman,
E. 1999, "Can Fame Be Measured Quantitatively?" AIR,
5, 3, 16.
Schulman,
E. and Boissier, S. 2001, "How Should Fame Be Measured
Quantitatively?" AIR Online, November 5.