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Los Angeles continues to face a troubling rise in pedestrian fatalities, with recent data highlighting a disturbing trend. As of April 12, 2025, 39 pedestrians have already lost their lives in vehicle-related collisions. This figure underscores the growing danger faced by those traveling on foot in the city.

The numbers tell a grim story. In 2023, 185 pedestrians were killed in traffic incidents--marking one of the deadliest years on record. In 2022, the city recorded 160 pedestrian deaths. And 2024 had 169 pedestrian fatalities reported. These past few years represent the highest number of pedestrian deaths Los Angeles has seen in more than a decade.

Advocates for safer streets are calling for more urgent action, including better lighting, stricter traffic enforcement, and expanded use of pedestrian-friendly design elements like protected crosswalks and lower speed limits in high-risk areas.

As the city looks for solutions, the hope is that stronger policies and smarter urban planning can help curb these tragedies before more lives are lost.

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Pedestrian Deaths in Los Angeles Reach Alarming Levels in 2025

The dip in global population is something that's been gaining attention as of late, but mostly in the abstract. 

Something concrete in that dip is about to come due this fall, a staggering drop in the number of available 18+ year olds for the traditional college path. The first bellwether in what my guest for this episode labeled in a piece that, <a href="https://hechingerreport.org/the-impact-of-this-is-economic-decline/">America is about to go over the ‘demographic cliff’</a>.

Journalist <a href="https://hechingerreport.org/author/jon-marcus/">Jon Marcus</a>, joins for this episode to explore the intersection of demographic shifts, higher education, and the implications for the workforce. The conversation highlights the decline in birth rates, the resulting impact on college enrollment, and the broader economic consequences of college closures. 

We also get into the cultural perceptions of the value of a college degree and the challenges faced by institutions in adapting to these changes. Before ending on potential strategies for colleges to navigate the impending demographic cliff and its effects on education and the economy.

📖 Chapters 📖
(00:00) -The Future We Ignore: Human Behavior and Climate Change
(03:00) - Demographic Shifts: The Decline in Birth Rates
(06:02) -Higher Education in Crisis: The Impact of Enrollment Declines
(09:07) - The Workforce Pipeline: Implications of Fewer Graduates
(12:13) - Cultural Perceptions: The Value of a College Degree
(15:05) - Economic Impacts: The Closure of Colleges and Community Effects
(18:07) - Solutions and Strategies: What Can Colleges Do?
(27:22) - The Impact of the Pandemic on Higher Education
(30:14) - Exploring Alternative Markets for Universities
(32:50) - The Economic Burden of Student Debt
(34:48) - The Changing Landscape of College Admissions
(38:19) - The Future of Higher Education: Opportunities and Challenges
(41:12) - Reconceptualizing Higher Education for the Future

071_ Conversation: 🎓College is running out of people | Great Recession baby drop has caught up 👼

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Summary of Sampling Distribution in Introductory Statistics
A sampling distribution is the probability distribution of a statistic (e.g., sample mean, variance, or proportion) from a random sample. As estimators are random variables, their distributions help quantify how close a sample statistic is to the true population parameter, crucial for statistical inference.

Key Sampling Distributions
Sample Mean (X̄):
Normal Population, Known Variance: X̄ follows a normal distribution with mean μ and variance σ²/n.
Non-Normal Population (CLT): For large n, the standardized X̄ ((X̄ - μ) / (σ/√n)) approximates a standard normal (N(0,1)).
Normal Population, Unknown Variance: Using sample standard deviation S, ((X̄ - μ) / (S/√n)) follows a t-distribution with (n-1) degrees of freedom.
Sample Variance (S²):
For normal populations, ((n-1)S² / σ²) follows a Chi-squared distribution with (n-1) degrees of freedom, asymmetric and positive-valued.
Sample Proportion (p̂):
For large samples from a Bernoulli/binomial distribution, p̂’s distribution is approximately normal, with mean p and standard deviation √(p(1-p)/n).
Role in Confidence Intervals
Sampling distributions underpin confidence intervals, which estimate a population parameter’s range with a confidence level (e.g., 95%):

Single Mean: Uses normal (known σ²), t-distribution (unknown σ²), or normal approximation (large n).
Single Proportion: Normal approximation for large n.
Two Means: Normal for known/equal variances, t-distribution for unknown/equal variances, or normal approximation for large n.
Two Proportions: Normal approximation for large samples.
Implications
Sampling distributions allow:

Precision Quantification: Standard error determines confidence interval width.
Sample Size Calculation: Ensures desired precision.
Result Interpretation: 95% of repeated intervals contain the true parameter.

Introduction to Statistical Analysis  - Sampling Distribution

In this episode of FEO on the Air - Masterclass - hosted by FEO CEO Dave MacNeil, we are joined by Tom Guerquin from Central Counties RTO 6.

Today's conversation is about harnessing the power of data collection for festivals and events in Ontario.

Here is an important link for you:

Central Counties (RTO6) Official website
https://centralcounties.ca/



Episode 88 - FEO on the Air - Masterclass - Tom Guerquin from Central Counties RTO 6

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Festivals & Events Ontario (FEO) was established in 1987 as an association devoted to the growth and stability of the festival and event industry in Ontario. FEO supports a lively, engaged and dedicated festival and events industry by sharing knowledge, enabling networking and providing leadership on education, advocacy and promotion.

If you would like to become a member of Festivals and Events Ontario, click here http://www.festivalsandeventsontario.ca/members/join-feo or you can email Debbie Mann (debbie@festivalsandeventsontario.ca).

If you would like to suggest a topic or a guest for the next FEO On the Air, just email Dave MacNeil (dave@festivalsandeventsontario.ca).

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