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Netflix’s The Movies That Made Us is a perfect example. It turned low-stakes trivia about Dirty Dancing and Die Hard into bingeable content. It works because it treats the audience like film students who never graduated. However, the rise of the entertainment industry documentary raises a difficult question: Are these documentaries exploitation or accountability?
Future docs will likely focus on the "Netflix bubble"—how streaming destroyed residual payments and the mid-budget film. We will see documentaries about the fall of Marvel (when it eventually happens) and the rise of TikTok fame.
We watch these films for the same reason we read biographies of presidents: power is interesting, failure is instructive, and the truth—no matter how staged—is always better than fiction. girlsdoporn e309 20 years old top
For decades, studios controlled the narrative. If a set was toxic, the press was locked out. If a producer was predatory, the rumors stayed in the trades. Now, documentaries like Surviving R. Kelly (music industry) or Allen v. Farrow (the intersection of film and abuse) use the documentary format as a form of legal and social witness.
Why?
In an era of carefully curated Instagram feeds, manicured press tours, and non-disclosure agreements, the inner workings of Hollywood have never been more secretive—or more sought after. Audiences are no longer satisfied with just the final product; they want the chaos, the contracts, and the casualties that came with it. Enter the entertainment industry documentary .
Furthermore, there is a schadenfreude element. We love watching rich, famous people struggle. Seeing a director scream at a producer, or an actor storm off a set in a 1970s docu-footage, humanizes the gods of the silver screen. It reminds us that Titanic nearly sank during production long before it sank at the box office. Five years ago, a documentary about the collapse of a movie studio ( The Clockwork Factory ) or the rise of a niche cable network might have played at one film festival and vanished. Today, streaming services are fighting each other for these rights. Netflix’s The Movies That Made Us is a perfect example
The best entertainment industry documentaries acknowledge the filmmaker's bias. Hail Satan? (about the Satanic Temple's use of media) and Feels Good Man (about the Pepe the Frog meme) are brilliant because they understand that the entertainment industry is a weapon—and the documentary is just firing it back. No discussion of this genre is complete without mentioning Overnight . This documentary follows Troy Duffy, a Boston bartender who sells the script for The Boondock Saints to Harvey Weinstein for millions. The film captures the moment success goes to his head. He alienates friends, destroys relationships, and insults everyone in power.
SPSS Statistics
SPSS Statistics procedure to create an "ID" variable
In this section, we explain how to create an ID variable, ID, using the Compute Variable... procedure in SPSS Statistics. The following procedure will only work when you have set up your data in wide format where you have one case per row (i.e., your Data View has the same setup as our example, as explained in the note above):
- Click Transform > Compute Variable... on the main menu, as shown below:
Note: Depending on your version of SPSS Statistics, you may not have the same options under the Transform menu as shown below, but all versions of SPSS Statistics include the same
option that you will use to create an ID variable.
Published with written permission from SPSS Statistics, IBM Corporation.
You will be presented with the Compute Variable dialogue box, as shown below:

Published with written permission from SPSS Statistics, IBM Corporation.
- Enter the name of the ID variable you want to create into the Target Variable: box. In our example, we have called this new variable, "ID", as shown below:
Published with written permission from SPSS Statistics, IBM Corporation.
- Click on the
button and you will be presented with the Compute Variable: Type and Label dialogue box, as shown below:
Published with written permission from SPSS Statistics, IBM Corporation.
- Enter a more descriptive label for your ID variable into the Label: box in the –Label– area (e.g., "Participant ID"), as shown below:
Published with written permission from SPSS Statistics, IBM Corporation.
Note: You do not have to enter a label for your new ID variable, but we prefer to make sure we know what a variable is measuring (e.g., this is especially useful if working with larger data sets with lots of variables). Therefore, we entered the label, "Participant ID", into the Label: box. This will be the label entered in the
column in the Variable View of SPSS Statistics when you complete at the steps below.
- Click on the
button. You will be returned to the Compute Variable dialogue box, as shown below:
Published with written permission from SPSS Statistics, IBM Corporation.
- Enter the numeric expression, $CASENUM, into the Numeric Expression: box, as shown below:
Published with written permission from SPSS Statistics, IBM Corporation.
Explanation: The numeric expression, $CASENUM, instructs SPSS Statistics to add a sequential number to each row of the Data View. Therefore, the sequential numbers start at "1" in row
, then "2" in row
, "3" in row
, and so forth. The sequential numbers are added to each row of data in the Data View. Therefore, since we have 100 participants in our example, the sequential numbers go from "1" in row
through to "100" in row
.
Note: Instead of typing in $CASENUM, you can click on "All" in the Function group: box, followed by "$Casenum" from the options that then appear in the Functions and Special Variables: box. Finally, click on the
button. The numeric expression, $CASENUM, will appear in the Numeric Expression: box.
- Click on the
button and the new ID variable, ID, will have been added to our data set, as highlighted in the Data View window below:
Published with written permission from SPSS Statistics, IBM Corporation.
If you look under the
column in the Data View above, you can see that a sequential number has been added to each row, starting with "1" in row
, then "2" in row
, "3" in row
, and so forth. Since we have 100 participants in our example, the sequential numbers go from "1" in row
through to "100" in row
.
Therefore, participant 1 along row
had a VO2max of 55.79 ml/min/kg (i.e., in the cell under the
column), was 27 years old (i.e., in the cell under the
column), weighed 70.47 kg (i.e., in the cell under the
column), had an average heart rate of 150 (i.e., in the cell under the
column) and was male (i.e., in the cell under the
column).
The new variable, ID, will also now appear in the Variable View of SPSS Statistics, as highlighted below:
Published with written permission from SPSS Statistics, IBM Corporation.
The name of the new variable, "ID" (i.e., under the
column), reflects the name you entered into the Target Variable: box of the Compute Variable dialogue box in Step 2 above. Similarly, the label of the new variable, "Participant ID" (i.e., under the
column), reflects the label you entered into the Label: box in the –Label– area in Step 4 above. You may also notice that we have made changes to the
,
and
columns for our new variable, "ID". When the new variable is created, by default in SPSS Statistics the
column will be set to "2" (i.e., two decimal places), the
will show
and the
column will show
. We changed the number of decimal places in the
column from "2" to "0" because when you are creating an ID variable, this does not require any decimal places. Next, we changed the variable type from the default entered by SPSS Statistics,
, to
, because our new ID variable is a nominal variable (i.e., a
variable) and not a continuous variable (i.e., not a
variable). Finally, we changed the cell under the
from the default,
, to
, for the same reasons mentioned in the note above.
Referencing
Laerd Statistics (2025). Creating an "ID" variable in SPSS Statistics. Statistical tutorials and software guides. Retrieved from https://statistics.laerd.com/