Foreword by TranslatorIn 1954, a nation-wide statistical conference was held in Moscow. It was organized by theAcademy of Sciences, the Ministry for Higher Education <strong>and</strong> the Central StatisticalDirectorate <strong>and</strong> its main aim was to seal a Marxist definition of statistics, see Kotz (1965)<strong>and</strong> <strong>Sheynin</strong> (1998, pp. 540 – 541). Below, I translate two accounts of Kolmogorov’s reportat that Conference, also see an abstract of his report at a conference in 1948 translated in thisbook.15a. Anonymous. Account of the All-Union Conference on Problems of <strong>Statistics</strong>(Extract)Moscow, 1954 (extract). Vestnik Statistiki, No. 5, 1954, pp. 39 – 95 (pp. 46 – 47)At first Kolmogorov dwells on the causes that led to the discussion of the problems ofstatistics. It became necessary, he said, in the first place, to reject sharply thosemanifestations of the abuse of mathematics in studying social phenomena that are socharacteristic of the bourgeois science. Its representatives make up, for example, differentialequations which allegedly ought to predict the course of economic phenomena; apply withoutany foundation hypotheses of stationarity <strong>and</strong> stability of time series, etc. The discussion wasalso called forth by the need to surmount in the statistical science <strong>and</strong> practice, once <strong>and</strong> forall, the mistaken aspiration of some {Soviet} statisticians to guide themselves by chaoticprocesses <strong>and</strong> phenomena 1 . And, finally, the last fact that makes the sharp discussionnecessary, Kolmogorov indicated, consists in that we have for a long time cultivated a wrongbelief in the existence, in addition to mathematical statistics <strong>and</strong> statistics as a socialeconomicscience, of something like yet another non-mathematical, although universalgeneral theory of statistics 2 which essentially comes to mathematical statistics <strong>and</strong> sometechnical methods of collecting <strong>and</strong> treating statistical data. Accordingly, mathematicalstatistics was declared a part of this general theory of statistics. Such views, also expressed atthis Conference, are wrong.It cannot be denied that there exists a certain set of methods <strong>and</strong> formulas united under thename of mathematical statistics, useful <strong>and</strong> auxiliary for each concrete science such asbiology or economics. Mathematical statistics is a mathematical science, it cannot beabolished or even made into an applied theory of probability. Not all of it is based on thistheory. The contents of mathematical statistics is described in detail in Kolmogorov’s article[2].The study of the quantitative relations in the real world, taken in their pure form, isgenerally the subject of mathematics. Therefore, all that, which is common in the statisticalmethodology of the natural <strong>and</strong> social sciences, all that which is here indifferent to thespecific character of natural or social phenomena, belongs to a section of mathematics, tomathematical statistics. […] 315b. Anonymous. On the Part of the Law of Large Numbers in <strong>Statistics</strong> (Extract)Uchenye Zapiski po Statistike, vol. 1, 1955, pp. 153 – 165 (pp. 156 – 158) …While dwelling on the law of large numbers in statistics, Kolmogorov indicates thatattempts were made in our {Soviet} literature to declare this law altogether senseless orpseudoscientific. However, considering, for the time being, indisputable examples bearing norelation to social science, the fact that this lamp remains motionless, <strong>and</strong> does not fly up tothe ceiling, is the result of the action of the law of large numbers. Air molecules moveaccording to the kinetic theory of gases with great velocities, <strong>and</strong> if their collisions were notequalized according to this law, we probably would have been unable to confer here. This
exaggeration towards a total denial of the theory of probability possibly belongs to the past. Idid not hear such pronouncements at our Conference that the theory is not needed at all.Kolmogorov then dwelt on the role of the theory of probability <strong>and</strong> mathematical statisticsin social-economic sciences. He considers it undoubtedly true that the more complex is thestudied sphere of phenomena, the more it is qualitatively diverse, the less applicable becomesthe mathematical method. He referred to his previous article [1] where he ordered sciencesbeginning with astronomy (where everything sufficiently obeys mathematics), going over tothe flight of projectiles (where everything also seems to obey mathematics sufficiently well,but where, actually, the situation is opposite), then to biology <strong>and</strong> to social-economicsciences (where mathematics remains subordinate). As to stability, it is indeed true that theconcept of a certain stability, <strong>and</strong>, more precisely, of the stability of frequencies, underpinsthe very concept of probability. It is required that, when experiments are repeated many timesover, the frequencies tend to one <strong>and</strong> the same number, to the probability.Stability of this kind indeed occurs in inorganic nature, although even there this is notexactly so. The probability of radioactive decay, of the emission of one or another particlefrom an atom during a given interval of time, was until recently believed to be absolutelystable. Only lately was it discovered that even this is not exactly so, that even for aspontaneous decay this probability is not a completely stable magnitude either. Here, thematter depends on the degree of stability, but the qualitative difficulty of applying thisconcept also depends on this degree.Kolmogorov offers an example. It is impossible to formulate the concept of climatewithout mentioning stability since climate is the very frequency of the repetition of differentindividual kinds of weather. This year, there was little snowfall, but the climate in Moscowdid not yet change. Although climate consists of a series of probabilities (to have so manyfine days in March, etc), it nevertheless changes gradually; however, during a restrictedperiod of time, it is possible to apply conditionally the concept of stability. Otherwise theconcept of climate will disappear (just as temperature will disappear in physics).The further we advance towards more animated <strong>and</strong> more complex phenomena, the morerestricted is the applicability of the concept of stability, <strong>and</strong> this is especially true in the caseof social phenomena. However, the applicability of the concept of statistical, of stochasticstability is not completely done away with here either. Recall, for example, Kolmogorovwent on to say, one of the fields of the work of Soviet mathematicians, where the technicalresults are indisputably good, the stochastic methods of calculating {predicting?} the work ofautomatic telephone networks. We are completely justified in considering that thedistribution of calls is a chaotic phenomenon. No-one prohibits any citizen to ring up onpersonal business {anyone else} at any hours of the day or night. From the social point ofview, the cause of the calls are r<strong>and</strong>om, but, nevertheless, during a usual day a definitestatistical distribution of calls establishes itself here in Moscow. Normally, it is stable fromday to day (of course, during a restricted interval of time). This is the foundation of aworkable technical science closely adjoining the phenomena of social life, <strong>and</strong> stochasticcalculations are applied here with unquestionable success.The role of mathematics, of the theory of probability <strong>and</strong> mathematical statistics in socialeconomicsciences proper is the least significant, but it does not disappear altogether. All themachinery of the so-called descriptive statistics, the technical methods of statistical calculus,remain intact. Sampling, which, after all, belongs to mathematical statistics, also remains. Itsmathematical aspect is the same in all fields <strong>and</strong> we apply it with great success.Investigations of stochastic chaotic processes are much less important, especially for us, inour planned State system. Nevertheless, there exist certain fields, for example insurance,where we have to encounter chaotic phenomena. It is for overcoming the {effects of} chaotic,unordered {disordered} circumstances of life that insurance exists; <strong>and</strong> studies of thesecircumstances are only possible by means of the theory of probability.
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of All Countries and to the Entire
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(Coll. Works), vol. 4. N.p., 1964,
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individuals of the third class, the
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From the theoretical point of view
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Second case: Each crossing can repr
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On the other hand, for four classes
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f i = i S + i , i = 1, 2, 3, 4, (
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f 1 = C 1 P(f 1 ; …; f n+1 ), C 1
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ut in this case f = 2 , f 1 = 2 ,
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I also note the essential differenc
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A 1 23n1 + 1 A 1 A 1 … A 11A 2 A
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coefficient of 2 in the right side
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h(A r h - c h A r 0 ) = - A r0we tr
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Notes1. Our formulas obviously pres
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Bernstein’s standpoint regarding
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Corollary 1.8. A true proposition c
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It is important to indicate that al
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ut for the simultaneous realization
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devoid of quadratic divisors and re
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propositions (B i and C j ) can be
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A ~ A 1 and B = B 1 , we will have
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included in a given totality as equ
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For unconnected totalities we would
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proposition given that a second one
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On the other hand, let x be a parti
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totality is perfect, but that the j
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In this case, all the finite or inf
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probabilities p 1 , p 2 , … respe
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where x is determined by the inequa
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totality of the second type (§3.1.
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x = /2 + /(23) + … + /(23… p n
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that the fall of a given die on any
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infinitely many digits only dependi
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10. (§2.1.5). Such two proposition
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F(x + h) - F(x) = Mh, therefore F(x
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“confidence” probability is bas
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x1+ Lp n (x) x1− Lx1+ Lf(t)dt < x
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|(x 1 ; t 0 ; t 1 ) - 1 t0tf(t)dt|
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5. The distribution ofξ , the arit
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P(x 1i < x) = F(x; a i ) = C(a i )
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egards his promises. Markov shows t
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other solely and equally possible i
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notion of probability and of its re
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However, already in the beginning o
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the revolution. My main findings we
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Nevertheless, Slutsky is not suffic
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path that would completely answer h
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on political economy as well as wit
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scientific merit. Borel was indeed
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[3] Already in Kiev Slutsky had bee
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different foundation. The difficult
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5. On the criterion of goodness of
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--- (1999, in Russian), Slutsky: co
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Here also, the author considers the
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second, it is not based on assumpti
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experimentation and connected with
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Russian, and especially of the Sovi
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station in England. This book, as h
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Uspekhi Matematich. Nauk, vol. 10,
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variety and detachment of those lat
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46. On the distribution of the regr
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119. On the Markov method of establ
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No lesser difficulties than those e
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Separate spheres of work considerab
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10. Anderson, O. Letters to Karl Pe
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Hier sind, im Allgemeinen, ganz ana
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Jedenfalls, glaube ich erwiesen zu
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werde ich das ganze Material in kur
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considered as the limiting case of
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and, inversely,] = m ...1 2 N[ ch h
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µ 2 2 = m 2 2 - 2m 2 m 1 2 + m 1 4
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