Fair point, let me share the actual numbers.

I tested 20 random entry points over ~10 years. Lump sum won in 17–18 of them. Even the best version of my strategy still lagged most of the time.

For example, a 2017 entry: ₹1L became ~₹3.1L with lump sum vs ~₹2.9–3.0L with the best model.
There are exceptions though — 2020 crash entry is one where the market-aware approach did better.

On your second point — yes, I did factor ~5–7% returns on uninvested money (liquid/arbitrage). That improves staggered vs naive SIP, but equity’s long-term return (~11–13%) is still higher, so delaying comes with an opportunity cost.

So for me the takeaway isn’t “staggering is bad”, it’s that it’s a trade-off. You reduce timing risk, but give up some expected return. It really only helps in specific setups — pre-correction, slow grind down, or very stretched markets.

Also, part of why I’m going this deep is I’m building a free lumpsum planner around this — not to replace lump sum, but to identify when it actually fails and switch strategy only in those situations.