CFI - Cinematic Forecasting and Investment Assurance LLC
Investor Opportunities in Motion Picture Profits through Feature Film Box-Office Forecasts / Pre-Production Script Development / Cinematic Archetype Casting / Component Formulation Design / U.S. and Global Market Consulting & Mass Audience Forecasting
1.We identified hundreds of past historical talents who were publicly and professionally awarded or noted for their cinematic performances and identified every talent with each film in which they performed.
2.We indexed each talent’s films into two separate listings including (1) their most POPULAR performances ranked by quality and (2) their most PROFITABLE performances ranked by quantity; both in descending order.
3.Next, we cross-referenced the matching films in each talent’s two categories and combined them into a single, prioritized filmography ranked by total performance supremacy.
4.For each film, we identified the talent’s character and scrutinized its behavioral traits and personality temperaments.We catalogued these character qualities, ranking them in the same order as the filmography.
5.We compared each character’s qualities to 42 behavioral patterns from opposing Jungian psychological archetype models and tabulated the majority of patterns in each portrayal to determine its appropriate archetype.
6.We evaluated the psychological patterns of all the characters for every talent and found that they consistently consolidated into one of two distinct groups of characterized attributes which uniformly matched one or the other of the opposite Jungian psychological archetype models.
7.We labeled each talent’s characters with their matching archetype and tabulated the matching archetype labels to identify a predominant archetype character portrayal being performed by each talent.The majority of the characters that they portrayed, we called their predominant archetype.
8.Evaluations of their filmography verified that a talent’s predominant archetype was the same archetype consistently found in the talent’s superior performances, and NOT found in their inferior products.
STAGE TWO:
9.We collected audio/visual samples of the historical star talent’s torsos, faces, and voices from a variety of media sources and prepared these samples for CFI scientific measurements.
10.We recorded the torsos, faces, and voices of these historical talents with audio/visual recording (AVR) hardware and processed that data with COREPERSONA™ proprietary biometric computer software.This software mathematically measures and identifies the patterns of myographic innervation in every talent.All the patterns recorded will establish an individual numerical valuation for each talent.
11.We then compared the mathematical software identifications of all our historical talents and discovered that they consistently segregated from each other and consolidated into two opposite groups of numerical valuations.(That discovery was compared to a similar discovery in step number six and an amazing new formulation was exposed.)
We then compared the opposing numerical valuations to the opposing behavioral patterns and we discovered a consistent correlation of the opposing psychological types to the opposing numerical values.
The two groups of historical talents identified by their predominant archetypes EXACTLY MATCHED the two groups of historical talents identified mathematically by biometric software.Thus, proving that the successful character portrayals of historical talents could be objectively predicted through AVR biometric identification without subjective reference to previous performances.
IN OTHER WORDS, THESE TALENTS COULD HAVE BEEN CAST FOR ROLES THEY WOULD SUCCEED IN JUST USING CFI FORMULATION TECHNOLOGY.
We ALSO established that there are two basic types of psychological behaviors or characterizations which are responded to by audiences and exist in singularity or in a prioritized combination inside every visual or vocal talent.There are exactly TWO dominant types of patterns found in the bodies, voices, and faces of entertainment talent (and four sub-types when including the prioritized combos).
We have established that the successful characters written into any entertainment product are always -- and exclusively -- one or the other of these two dominant archetypes.They are …
The“TRUE HERO” and the“ANTI-HERO”
AND WE WEREN’T DONE YET! We double blind tested the entertainment talent outcomes with reverse engineering and applied it to contemporary talents in their most successful character portrayals.
STAGE THREE: 1.We gathered visual/audio data on over 1200 of the leading contemporary actors found in the last decade of Hollywood Reporter Star Power™ reports and recorded that data with the same AVRs as we did the historical talent.The same software we used before measured the contemporary talent’s myographic innervations.We calculated the numerical valuation and pre-identified each talent with a software prescribed archetypal label.
2.Next, we compared those archetypal labels to the character attributes they had portrayed in previous projects.We catalogued the archetype matching portrayals and compared them to the positive or negative audience response they received for the portrayal.
A.When the CHARACTER that the contemporary talent portrayed MATCHED the talent’s own individual software prescribed archetype - the audience response was absolutely successful.
B.When the character that the talent attempted to portray was the opposite of its own software prescribed and individual inborn archetype -their efforts were dismissed … and they were a disappointment to audiences.
Whenever a talent’s torso, vocal, and facial patterns matched the patterns expected by the audience for a specific character archetype, the talent scored true screen charisma!
And their casting was accredited as a cinematic success … every single time.If an actor with a specific biometric valuation played characters with behavioral patterns that corresponded to their own biometric valuation, they were continuously successful.
These new answers explained why great actors failed in great films and bombed without any clearly understood reasons.As long as actors correlated their patterns of personal parameters with patterns of archetypal audience expectations, they succeeded wildly!IF NOT … they crashed and burned. (And there are also other talent profitability and creative technologies we've discovered but kept just to ourselves to provide our clients with the best in service and confidentiality.)
But we didn't stop there.
Upon completion of these valuations, we tested the talent's archetypes against their performances in contemporary motion pictures.The outcomes were predictable…
When the actors in a film were cast correctly by cinematic archetype, and when the romantic archetypes were correctly formulated also, the film was successful in PROFITABLE RETURNS for 71 in every 100 productions (which is fabulous considering that previously only 23 in any 100 films ever made a profit at the U.S. box office).
But that wasn't good enough for us. We still wanted to find the other conundrums causing the 29% of other films to fail. (And what we did next is a trade secret and even more complex so we'll condense the explanation.)
After scoring a film on archetype and chemistry, we scored the film's production values.These results came in the same as the previous success group.(Continuity and craft production value was obviously not the key.)We then turned to corporate experts in Jungian psychology and cinematic suspension of disbelief.
We examined the possibility that storyline factorization was the key to the small but elusive group of unexplained percentile failures.(This proved to be the correct analysis.)All remaining errors were identifiable through 'SOD' -- the audience's Suspension of Disbelief.
The Jungian psychology behind the "suspension of disbelief" is an audience response technology that delineates the cause and effect relationship on the audience inside the motion picture theater.It diagrams over 200 verifiable storyline and thousands of combinations of film formulations which will either dignify or decimate the emotional response of a theatrical audience; and which predicate the audience's condemnation or confirmation of the value of any cinematic experience.
The most important CFI achievement was that those previous cinematic archetype and chemistry paradigms could now serve as a standard, scientific baselinethat could set a precedent through all motion pictures and with which we could continue searching for other patterns of any possible flaws. We started tracking patterns of the over two-hundred constructs and compared their outcomes in films to those which failed and those which succeeded.Over the years it became apparent which of the SOD constructs were of major consequence and which were minor.(Once in a while a new construct is invented and is analyzed, categorized, and value-rated as well.)
With our standard baseline and a comparative analysis of profit/loss ratios using stochastic algorithms, we were able to achieve the valuation equations required for production preciseness.So our attorneys began preparing the patents of CFI’s screenplay evaluation parameters and film component formulations for our audience response technologies.
Using CFI psychological analysis improved our formulations for an additional twenty-five percent of the remaining 29% and thereby guaranteed profitability with an accuracy of 95.6% when incorporating all CFI technology into pre-production of motion pictures.(The remaining 4.4% anomalies were identified and explained by shooting budget over-runs.)
CFI Charisma Dynamics™ became an in-depth perceptual analysis and interest evaluation of audio-visual talent through precise mass audience analysis and market imaging evaluations for pre-publicized or potentially commercial motion picture talents in agencies or publicity, casting, and management companies.
To put it scientifically … CFI Screen Dynamics™ became the new pre-production component methodology based on mathematical base valuations and multi-variant psychological interpretations derived from comparative pattern recognition analysis of biometric audience response patterns and programmable component factorizations using proprietary multi-lateral rule based and stochastic algorithms and situational derivations predicting the profit/loss probability of mass marketed motion pictures; thereby producing new cost/earnings protocols for cinematic risk aversion and earnings management, while creating consistent product life cycles while exponentially increasing the profits for motion picture distribution companies and supply side vendors.