Attention is not value
More viewing reduces arithmetic cost per hour but can reduce wellbeing or crowd out higher-value activities. The metric is descriptive, not an optimization target.
Lifestyle planning
Convert weekly streaming behavior into monthly viewing, completed hours, data use, overage cost, and effective cost per watched and completed hour.
STREAMING USAGE AND VALUE
For households auditing how a streaming plan is actually used. The model turns weekly viewing into monthly hours, separates completed from abandoned viewing, estimates data from a user-entered GB-per-hour rate, and adds only modeled data overage to the taxed subscription cost.
STREAMING USAGE AND VALUE
Use cost per completed hour as an audit signal, not a command to watch more. Data consumption varies by device, codec, resolution, network behavior, downloads, and provider; replace estimates with measured evidence when charges depend on them.

| Layer | Cost / time basis | Rate / share | Quantity | Cost or interpretation |
|---|
CURRENT CALCULATION PROCESS
H=w*h; Hc=H*q; G=H*d; O=max(0,G-L)k; C=(P+A)(1+t)+O; E=C/Hc
Weeks multiply observed weekly streaming hours. A completion share identifies intentionally completed hours without erasing abandoned usage. Data equals streamed hours times the entered GB rate; only usage above the allowance produces overage. Total effective cost is divided by both all hours and completed hours.
HOW TO USE
SUBJECT FUNDAMENTALS
MODEL AND FORMULA
Weeks multiply observed weekly streaming hours. A completion share identifies intentionally completed hours without erasing abandoned usage. Data equals streamed hours times the entered GB rate; only usage above the allowance produces overage. Total effective cost is divided by both all hours and completed hours.
DEEPER DECISION ANALYSIS
More viewing reduces arithmetic cost per hour but can reduce wellbeing or crowd out higher-value activities. The metric is descriptive, not an optimization target.
Resolution, codec, adaptive bitrate, device, downloads, and network conditions can change GB per hour materially.
Broadband allowance is used by many activities. Reserve non-streaming use before assigning marginal overage to video.
WORKED DECISION CASES
A household completes most of a small set of planned programs, producing fewer but more intentional hours and no data overage.
Many autoplay hours produce high data use but a low completion share; effective cost per completed hour reveals the difference.
TECHNICAL LANGUAGE
EVIDENCE AND DATA LINEAGE
Retain invoice totals, plan tier, add-ons, taxable basis, viewer and device scope, viewing-log source, autoplay treatment, completion definition, period length, resolution, download behavior, measured or provider-estimated data rate, total household allowance, non-streaming reservation, overage rate, and unrounded results.
LIMITS AND EXCLUSIONS
RELIABLE SOURCES
FREQUENTLY ASKED QUESTIONS
Yes when data was delivered, but classify completion under your frozen intentional-viewing rule so passive playback does not disappear.
Prefer measured router or device data for the same resolution and service; provider estimates are a fallback and should be dated.
The model estimates marginal streaming cost. Allocating a shared fixed internet bill requires a separate, documented cost-allocation method.
No. Increasing screen time mechanically lowers the ratio but may conflict with wellbeing, sleep, work, or household goals.
The denominator is invalid, so the page rejects zero completed viewing instead of showing a plausible ratio.
Run each service with matched observation periods and allocation rules, then compare alongside catalog usefulness and noncost requirements.
IMPORTANT NOTE
This page summarizes user-entered cost, viewing, and data evidence. It is not health, behavioral, broadband, tax, or financial advice and does not recommend increasing screen time or guarantee provider data measurements.