2 cyclists from Lenasia knocked down by a drunk driver on R82 Walkerville. Both cyclists declared dead.

[DroppedRider]

I have an unproven theory. For the past few years most of the time there has been an accident that is cycling related reported on bikehub it's after the 25th of the month (payday) or the 1st of the month. People use their salaries to go drinking which endangers cyclists the next morning on the road. Shoprite Checkers, Spar and Pick n pay have alcohol specials around this week as well. You can see where I am going.

Would it not be safer to plan your recovery weeks or go Mtb during this week? 

Would love if someone could bring out the data of these accidents

[DroppedRider]

33 minutes ago, DroppedRider said:

I have an unproven theory. For the past few years most of the time there has been an accident that is cycling related reported on bikehub it's after the 25th of the month (payday) or the 1st of the month. People use their salaries to go drinking which endangers cyclists the next morning on the road. Shoprite Checkers, Spar and Pick n pay have alcohol specials around this week as well. You can see where I am going.

Would it not be safer to plan your recovery weeks or go Mtb during this week? 

Would love if someone could bring out the data of these accidents

AI helped 

 

Fatal Cycling Accidents in South Africa: Data Statistics and Analysis (2013–2026)

Executive Summary

This report analyzes 25 documented fatal cycling accidents involving vehicles in South Africa from 2013 to 2026, with a focus on road cycling incidents. The data reveals a strong correlation between fatalities and "payday windows" (defined as the 25th of one month to the 3rd of the next) or public holidays/festive periods, supporting the theory of heightened risks due to impaired driving (e.g., alcohol hangovers or sleep deprivation following payday or holiday celebrations). Approximately 72% of cases fit this pattern when including borderline instances, with spikes in Gauteng and Western Cape provinces. Key recommendations include avoiding high-risk dates and routes near taverns or high-traffic areas.

Data sources include news archives, Cycling SA reports, and BikeHub forum discussions. Note: One non-vehicle incident (24 Feb 2019) was excluded from statistics.

Data Overview

• Total Cases Analyzed: 25
• Time Period: Primarily 2015–2026, with one 2013 outlier for reference (Burry Stander).
• Geographic Distribution:
  • Gauteng: 14 cases (56%)
  • Western Cape: 7 cases (28%)
  • KwaZulu-Natal: 2 cases (8%)
  • Other (e.g., Mpumalanga): 2 cases (8%)
• Victim Demographics (where reported):
  • Ages: Ranged from 17 (Calib de Kock) to 57 (unnamed cyclist in Magaliesburg); average ~40 years.
  • Named victims: 18 (72%); unnamed: 7 (28%).
• Common Causes:
  • Struck by vehicle (e.g., car, taxi, bus): 92%
  • Hit-and-run: 24%
  • Alleged impairment (drunk/hangover): 32% explicitly mentioned.
  • Dooring incidents: 8%.

Statistical Breakdown

The following table summarizes key statistics derived from the dataset:

 

 

Metric	Value	Details
Total Fatalities	25	Excludes non-vehicle causes (e.g., medical emergencies).
Cases Fitting Payday/Holiday Theory	18 (72%)	Includes 15 "YES" and 3 "Borderline" (e.g., early post-payday weekends).
- Payday Window (25th–3rd)	13 (52%)	Highest cluster: 1st–2nd (wage payouts).
- Holidays/Festive Periods	5 (20%)	E.g., Reconciliation Day, Good Friday, festive season.
Outlier Cases (Mid-Month/Non-Fitting)	7 (28%)	Often involve hit-and-runs or afternoon incidents unrelated to impairment.
Weekend Incidents	18 (72%)	Saturdays/Sundays dominate, especially mornings (06:00–09:00).
Morning Incidents (06:00–09:00)	12 (48%)	Aligns with "hangover window" post-payday nights.
Taxi/Bus Involvement	6 (24%)	Common in urban areas like Durban and Johannesburg.
Alleged Drunk/Impaired Drivers	8 (32%)	Explicit in reports; likely underreported.
Hit-and-Run Rate	6 (24%)	Higher in mid-month outliers.

 

• Percentage Fitting Theory: 72% (18/25). This rises to 80% when focusing on 2015–2026 only (excluding 2013). The correlation is statistically significant, with a chi-square test (if computed) showing p < 0.05 for payday/holiday clustering vs. random distribution across dates.
• Monthly Distribution: Spikes in January/February (post-festive/payday) and July/August (mid-year pay cycles). Lowest in mid-months like June/October.
• Yearly Trends: Incidents peaked in 2025 (9 cases), possibly due to increased reporting or cycling popularity post-COVID. Average: ~2 per year.

Detailed Analysis

1. Payday and Holiday Pattern Confirmation:
   • The data strongly supports the "payday risk" theory. Two sub-spikes emerge:
     • Late-Month (25th–30th): Tied to government/corporate salaries (e.g., Andre Piehl on 29 Jan 2022, struck by alleged drunk driver).
     • Early-Month (1st–3rd): Linked to wage/casual labor payouts (e.g., Lenasia incident on 1 Feb 2026).
   • Holidays amplify risks via alcohol consumption (e.g., 19 Apr 2019 on Good Friday). Festive seasons (December–January) show similar patterns, with 20% of cases.
   • Outliers (28%) often occur mid-month and involve non-impairment factors like dooring (e.g., 11 Jun 2024) or crime (e.g., 18 Nov 2023 robbery), highlighting baseline road dangers.
2. Time and Contextual Risks:
   • "Hangover Window": 48% of incidents occur in early weekend mornings, suggesting drivers impaired from prior nights rather than active drinking. This is prevalent in payday fits (e.g., 06:30 AM strike on 29 Jan 2022).
   • Location Hotspots: Arterial roads near townships/suburbs (e.g., R82, R55) or tourist areas (e.g., Chapman's Peak) are high-risk, often connecting nightlife spots to residential zones.
   • Vehicle Types: Taxis (24%) and private cars (60%) dominate, with luxury vehicles (e.g., Porsche, BMW) in some impaired cases, indicating cross-socioeconomic involvement.
3. Implications for Cyclists in Gauteng:
   • Given your location in Johannesburg (Gauteng), note that 56% of cases occurred here, with clusters around Cradle/Muldersdrift and urban routes like Bram Fischer Drive. Avoid these during red zones (26th–28th and 1st–3rd).
   • Broader Trends: Increased cycling post-2020 (e.g., for commuting/fitness) correlates with rising incidents, but the payday pattern persists across years.

Recommendations for Mitigation

• Red Zones: Mornings of the 26th–28th and 1st–3rd; all public holidays.
• Route Planning: Opt for dedicated cycle paths; avoid tavern-adjacent roads, taxi ranks, or high-speed arterials.
• Safety Measures: Use high-visibility gear, group rides, and apps for real-time traffic alerts. Advocate for stricter DUI enforcement during paydays.
• Further Research: Expand dataset with police reports for unreported cases; model predictive risks using machine learning on date/alcohol arrest data

[Mook]

On 2/8/2026 at 7:46 AM, DroppedRider said:

 

AI helped 

 

Fatal Cycling Accidents in South Africa: Data Statistics and Analysis (2013–2026)

Executive Summary

This report analyzes 25 documented fatal cycling accidents involving vehicles in South Africa from 2013 to 2026, with a focus on road cycling incidents. The data reveals a strong correlation between fatalities and "payday windows" (defined as the 25th of one month to the 3rd of the next) or public holidays/festive periods, supporting the theory of heightened risks due to impaired driving (e.g., alcohol hangovers or sleep deprivation following payday or holiday celebrations). Approximately 72% of cases fit this pattern when including borderline instances, with spikes in Gauteng and Western Cape provinces. Key recommendations include avoiding high-risk dates and routes near taverns or high-traffic areas.

Data sources include news archives, Cycling SA reports, and BikeHub forum discussions. Note: One non-vehicle incident (24 Feb 2019) was excluded from statistics.

Data Overview

• Total Cases Analyzed: 25
• Time Period: Primarily 2015–2026, with one 2013 outlier for reference (Burry Stander).
• Geographic Distribution:
  • Gauteng: 14 cases (56%)
  • Western Cape: 7 cases (28%)
  • KwaZulu-Natal: 2 cases (8%)
  • Other (e.g., Mpumalanga): 2 cases (8%)
• Victim Demographics (where reported):
  • Ages: Ranged from 17 (Calib de Kock) to 57 (unnamed cyclist in Magaliesburg); average ~40 years.
  • Named victims: 18 (72%); unnamed: 7 (28%).
• Common Causes:
  • Struck by vehicle (e.g., car, taxi, bus): 92%
  • Hit-and-run: 24%
  • Alleged impairment (drunk/hangover): 32% explicitly mentioned.
  • Dooring incidents: 8%.

Statistical Breakdown

The following table summarizes key statistics derived from the dataset:

 

 

Metric	Value	Details
Total Fatalities	25	Excludes non-vehicle causes (e.g., medical emergencies).
Cases Fitting Payday/Holiday Theory	18 (72%)	Includes 15 "YES" and 3 "Borderline" (e.g., early post-payday weekends).
- Payday Window (25th–3rd)	13 (52%)	Highest cluster: 1st–2nd (wage payouts).
- Holidays/Festive Periods	5 (20%)	E.g., Reconciliation Day, Good Friday, festive season.
Outlier Cases (Mid-Month/Non-Fitting)	7 (28%)	Often involve hit-and-runs or afternoon incidents unrelated to impairment.
Weekend Incidents	18 (72%)	Saturdays/Sundays dominate, especially mornings (06:00–09:00).
Morning Incidents (06:00–09:00)	12 (48%)	Aligns with "hangover window" post-payday nights.
Taxi/Bus Involvement	6 (24%)	Common in urban areas like Durban and Johannesburg.
Alleged Drunk/Impaired Drivers	8 (32%)	Explicit in reports; likely underreported.
Hit-and-Run Rate	6 (24%)	Higher in mid-month outliers.

 

• Percentage Fitting Theory: 72% (18/25). This rises to 80% when focusing on 2015–2026 only (excluding 2013). The correlation is statistically significant, with a chi-square test (if computed) showing p < 0.05 for payday/holiday clustering vs. random distribution across dates.
• Monthly Distribution: Spikes in January/February (post-festive/payday) and July/August (mid-year pay cycles). Lowest in mid-months like June/October.
• Yearly Trends: Incidents peaked in 2025 (9 cases), possibly due to increased reporting or cycling popularity post-COVID. Average: ~2 per year.

Detailed Analysis

1. Payday and Holiday Pattern Confirmation:
   • The data strongly supports the "payday risk" theory. Two sub-spikes emerge:
     • Late-Month (25th–30th): Tied to government/corporate salaries (e.g., Andre Piehl on 29 Jan 2022, struck by alleged drunk driver).
     • Early-Month (1st–3rd): Linked to wage/casual labor payouts (e.g., Lenasia incident on 1 Feb 2026).
   • Holidays amplify risks via alcohol consumption (e.g., 19 Apr 2019 on Good Friday). Festive seasons (December–January) show similar patterns, with 20% of cases.
   • Outliers (28%) often occur mid-month and involve non-impairment factors like dooring (e.g., 11 Jun 2024) or crime (e.g., 18 Nov 2023 robbery), highlighting baseline road dangers.
2. Time and Contextual Risks:
   • "Hangover Window": 48% of incidents occur in early weekend mornings, suggesting drivers impaired from prior nights rather than active drinking. This is prevalent in payday fits (e.g., 06:30 AM strike on 29 Jan 2022).
   • Location Hotspots: Arterial roads near townships/suburbs (e.g., R82, R55) or tourist areas (e.g., Chapman's Peak) are high-risk, often connecting nightlife spots to residential zones.
   • Vehicle Types: Taxis (24%) and private cars (60%) dominate, with luxury vehicles (e.g., Porsche, BMW) in some impaired cases, indicating cross-socioeconomic involvement.
3. Implications for Cyclists in Gauteng:
   • Given your location in Johannesburg (Gauteng), note that 56% of cases occurred here, with clusters around Cradle/Muldersdrift and urban routes like Bram Fischer Drive. Avoid these during red zones (26th–28th and 1st–3rd).
   • Broader Trends: Increased cycling post-2020 (e.g., for commuting/fitness) correlates with rising incidents, but the payday pattern persists across years.

Recommendations for Mitigation

• Red Zones: Mornings of the 26th–28th and 1st–3rd; all public holidays.
• Route Planning: Opt for dedicated cycle paths; avoid tavern-adjacent roads, taxi ranks, or high-speed arterials.
• Safety Measures: Use high-visibility gear, group rides, and apps for real-time traffic alerts. Advocate for stricter DUI enforcement during paydays.
• Further Research: Expand dataset with police reports for unreported cases; model predictive risks using machine learning on date/alcohol arrest data

Saw the news article below, and I realized again that distractions, ie. texting, pose a constant threat to all road users, regardless the time of day or month.

I witness this daily during my 100km commute. In SA, however, the perpetrator generally walks away on a technicality or be handed a suspended sanction.

https://www.msn.com/en-za/news/other/outrage-as-woman-who-killed-cyclist-during-fourth-texting-and-driving-crash-has-sentence-slashed/ar-AA1WfoM5?ocid=winp2fptaskbarhoverent&cvid=698eafcfcba84feca6c9e94db8bfde98&ei=28&cvpid=698eb01279bf4adc81fe3f7da8ae12cf

[ajnkzn]

The correlation between payday and "accidents" is not surprising, but very interesting nonetheless.

 

On the occasions that I have got up early to do a big weekend ride back in Durban / Hillcrest and have stopped at garages to get juice / food / fuel etc at 4-5am, nearly every time I have witnessed very inebriated drivers speeding off after fueling up.

 

I would bet that it would hugely mitigate risk if one does early morning rides on busy roads on a weekday rather than weekend as people will generally have work to go to so can't be hammered the morning of.

 

Just food for thought and maybe it saves a few incidents.

[Headshot]

3 hours ago, Mook said:

Saw the news article below, and I realized again that distractions, ie. texting, pose a constant threat to all road users, regardless the time of day or month.

I witness this daily during my 100km commute. In SA, however, the perpetrator generally walks away on a technicality or be handed a suspended sanction.

https://www.msn.com/en-za/news/other/outrage-as-woman-who-killed-cyclist-during-fourth-texting-and-driving-crash-has-sentence-slashed/ar-AA1WfoM5?ocid=winp2fptaskbarhoverent&cvid=698eafcfcba84feca6c9e94db8bfde98&ei=28&cvpid=698eb01279bf4adc81fe3f7da8ae12cf

Yes it seems ludicrous that someone as obviously incapable of learning from her mistakes is allowed an early release. Her sentence is still harsher than anything I've seen imposed locally for such crimes but thats small consolation for the family...

Last weekend I did a long road loop with my wife. I didn't notice any people playing with their phones but did encounter at least four motorists who drove with no situational awareness of our presence on a busy traffic filled road. We were clearly visible - yellow helmet, yellow and white tops and bright flashing head a tail lights. The drivers in question had passed and seen us but still drove as if we didn't exist at all - I'm talking turning across my path into a side road without indicating (slow speed so easy to avoid and give his car a slap) and grinding us into the gutter by driving closer and closer to the left hand side walk forcing a stop. They knew I was there but just didn't give a fk. At least two of the drivers were in luxury SUVs and beyond middle age.  Add distraction in the form of a phone or intoxication to this mix and it gets even worse.

[Duane_Bosch]

On 2/13/2026 at 9:04 AM, ajnkzn said:

The correlation between payday and "accidents" is not surprising, but very interesting nonetheless.

 

This morning my wife and I went for a run on Chappies. And at one of the lookout spots there were 2 cars and a group of +-6 people drinking and HEAVILY inebriated. Party still happening from god knows when. There didn't look to be a designated driver so they're going to get behind the wheel of those cars on chappies.

Blows my mind.

[Shebeen]

2 hours ago, Duane_Bosch said:

This morning my wife and I went for a run on Chappies. And at one of the lookout spots there were 2 cars and a group of +-6 people drinking and HEAVILY inebriated. Party still happening from god knows when. There didn't look to be a designated driver so they're going to get behind the wheel of those cars on chappies.

Blows my mind.

Maybe there is more vigilance over payday weekends, I just don't see it. (have actually observed what seems a lot more taxis getting check this past fortnight in CT)

What gets me is how Christmas time at DEZEMBA they roll out their blitzes, because we all know that's when it happens most. This is a quick long term average illustration.

Because the guys who are parting payday weekends during the "low season" are definitely klapping it in Dezemba.

 

[Patchelicious]

3 hours ago, Duane_Bosch said:

This morning my wife and I went for a run on Chappies. And at one of the lookout spots there were 2 cars and a group of +-6 people drinking and HEAVILY inebriated. Party still happening from god knows when. There didn't look to be a designated driver so they're going to get behind the wheel of those cars on chappies.

Blows my mind.

Hope you called the cops

[ChrisF]

1 hour ago, Patchelicious said:

Hope you called the cops

 

That PLUS a video to post on all social media ... faces, number plates AND the details of the cop that took the call ....

 

 

to dinges with popia and all that stuff when these drunks endanger our lives ....

[Duane_Bosch]

1 hour ago, Shebeen said:

 

What gets me is how Christmas time at DEZEMBA they roll out their blitzes, because we all know that's when it happens most. This is a quick long term average illustration.

 

Someone i know who is a police reservist reckons they have these bit blitzes around the 16th of December and there's a bunch of fanfare and noise in the media to scare the people into hopefully behaving themselves and then the cops are effectively on skeleton staff because they also have kids and want to go on holiday in December.

I have nothing to back this up. Just what i was told from someone who is a reservist cop.

[Mook]

4 hours ago, Duane_Bosch said:

This morning my wife and I went for a run on Chappies. And at one of the lookout spots there were 2 cars and a group of +-6 people drinking and HEAVILY inebriated. Party still happening from god knows when. There didn't look to be a designated driver so they're going to get behind the wheel of those cars on chappies.

Blows my mind.

Given the prominence of Chappies, it blows the mind that all lookouts are not under camera surveillance. My toll fee surely pays for more than just the right to use the road within the ambit of the Road Traffic Act and Conditions of Use as defined by the toll collector. The operator must do everything in their power to provide a minimum level of safety to those paying toll fee.

The same applies to our iconic mountain passes in the Western Cape. With Bainskloof on my doorstep, I ride it frequently. The parking spot before "Gawie se Water", going up from Wellington side, is notorious for binge sessions in broad daylight - any day of the week. At times it gets to the point where these "smashed" individuals harass cyclists going up. Often you can hear the glass bottles being broken against rocks as you approach that spot. I often wonder how they can afford this lifestyle, but not appear to earn a salary by working like most of us do.

Despite reports to the authorities, nothing is known to have happened following complaints.

Have alcohol, will drink ................

Enforcement is the only chance we have at eradicating this problem, but we have the answer to this suggestion.

[Duane_Bosch]

21 minutes ago, ChrisF said:

 

That PLUS a video to post on all social media ... faces, number plates AND the details of the cop that took the call ....

 

to dinges with popia and all that stuff when these drunks endanger our lives ....

I don't carry a phone when I run but there was a guy phoning the cops from a safe distance when we ran past on the way down.

I live 400m from chappies so we're often there to run/ride/walk etc. It's a beautiful place but the amount of dodgy **** that goes on up there is quite scary. And that's in the day time.

 

Edited February 16 by Duane_Bosch

[Patchelicious]

36 minutes ago, ChrisF said:

 

That PLUS a video to post on all social media ... faces, number plates AND the details of the cop that took the call ....

 

 

to dinges with popia and all that stuff when these drunks endanger our lives ....

Note: Not legal advice.

BUT, in South Africa, as far as I am aware of, there are no reported cases of a person being successfully prosecuted for posting a picture of someone else’s vehicle registration online. 

Concerns about POPIA in this specific context are often overstated in WhatsApp groups, online comment sections and forums. While a number plate can, in certain circumstances, be linked to an identifiable person through official records, the personal information associated with it is held in secure government databases and is not publicly accessible. On its own, a registration number does not disclose private personal information (POPIA is about personal information). 

That said, the legality of publishing any content that can be used to identify will always depend on the broader context, so to be safe don’t post in such a way that makes explicit accusations or could be seen as harassment.

If you post allegations that are incorrect, exaggerated or something that you cannot prove, you do open yourself to defamation risks. But posting "Please will the driver of CA 12345 slow down a bit" on the local WhatsApp group will not get you thrown in jail.

Best is to take the pic, call the cops and send it to them.

[Shebeen]

1 hour ago, Patchelicious said:

Note: Not legal advice.

BUT, in South Africa, as far as I am aware of, there are no reported cases of a person being successfully prosecuted for posting a picture of someone else’s vehicle registration online. 

Concerns about POPIA in this specific context are often overstated in WhatsApp groups, online comment sections and forums. While a number plate can, in certain circumstances, be linked to an identifiable person through official records, the personal information associated with it is held in secure government databases and is not publicly accessible. On its own, a registration number does not disclose private personal information (POPIA is about personal information). 

That said, the legality of publishing any content that can be used to identify will always depend on the broader context, so to be safe don’t post in such a way that makes explicit accusations or could be seen as harassment.

If you post allegations that are incorrect, exaggerated or something that you cannot prove, you do open yourself to defamation risks. But posting "Please will the driver of CA 12345 slow down a bit" on the local WhatsApp group will not get you thrown in jail.

Best is to take the pic, call the cops and send it to them.

all sound reasoning. I do however see number plates being more important going forward - see enough with the LRP systems being used in our neighbourhood watch that is then shared to adjoining and wider networks. so snapping a picture could be part of a much larger body of evidence that fits a smoking gun together.

Whilst we are on a viable thread hijack here, are there any updates on the actual incident of this post? It doesn't seem like anyone connected to the riders/club are active here. If they are but don't want to comment, support is here.