This completely rules out
the idea of a random process that might or might not have yielded the cosmos as we have it.
Not exact matches
Stephen Barr criticizes me for confusing two very different things: the modest scientific theory
of neo-Darwinism (which he defines as «the
idea that the mainspring
of evolution is natural selection acting on
random genetic variation») and what he calls the «theological» claim that evolution is an «unguided, unplanned»
process.
One
of the main problems with genetic engineering is that the
process of inserting genes into the DNA
of a food plant is
random; scientists have no
idea where the genes go.
The
idea that a six - hour delay in the start
of the month - long, mostly
random process of making antibodies could make any meaningful difference to the outcome doesn't make much sense to me.
You've seen plenty
of movies where it's worked out, but you've also lived enough life to know how hard marriage is and the
idea of falling in love with a completely
random stranger that you met on a website or app is a lot to
process too.
The
idea that representation must be a
process in which a
random, 185 lb, red headed, lesbian woman is the protagonist in fantasy kinda eliminates the fantasy part
of it.
General Introduction Two Main Goals Identifying Patterns in Time Series Data Systematic pattern and
random noise Two general aspects
of time series patterns Trend Analysis Analysis
of Seasonality ARIMA (Box & Jenkins) and Autocorrelations General Introduction Two Common
Processes ARIMA Methodology Identification Phase Parameter Estimation Evaluation
of the Model Interrupted Time Series Exponential Smoothing General Introduction Simple Exponential Smoothing Choosing the Best Value for Parameter a (alpha) Indices
of Lack
of Fit (Error) Seasonal and Non-seasonal Models With or Without Trend Seasonal Decomposition (Census I) General Introduction Computations X-11 Census method II seasonal adjustment Seasonal Adjustment: Basic
Ideas and Terms The Census II Method Results Tables Computed by the X-11 Method Specific Description
of all Results Tables Computed by the X-11 Method Distributed Lags Analysis General Purpose General Model Almon Distributed Lag Single Spectrum (Fourier) Analysis Cross-spectrum Analysis General Introduction Basic Notation and Principles Results for Each Variable The Cross-periodogram, Cross-density, Quadrature - density, and Cross-amplitude Squared Coherency, Gain, and Phase Shift How the Example Data were Created Spectrum Analysis — Basic Notations and Principles Frequency and Period The General Structural Model A Simple Example Periodogram The Problem
of Leakage Padding the Time Series Tapering Data Windows and Spectral Density Estimates Preparing the Data for Analysis Results when no Periodicity in the Series Exists Fast Fourier Transformations General Introduction Computation
of FFT in Time Series
During a closing
process, it's a good
idea for a seller to change each device's password to something unique but impersonal — the date
of the sale, for example, or a
random character string — and hand that information over to the buyer.