How Do I Compare Soy Wax Samples Objectively Using the Same Jar, Fragrance, Load, Wick, Pouring Process and Cure Time?

Hold everything but the wax, hide which is which, and repeat each wax three times

An objective comparison of soy wax samples rests on three things, and the title already names the first. Hold every variable except the wax: the same jar model and lot, the same oil from one bottle, the same load by finished weight, the same wick from one pack, the same pouring day and routine (with each wax at its own maker's temperature), the same cure shelf and checkpoint. Remove the bias: code every candle so the people scoring it do not know which wax it is, rotate burn positions, and write the pass rules before anything is lit. Repeat: make at least three burn candles per wax, because one candle can be an accident and a difference you cannot repeat is not a difference.

That last point is the one most comparisons skip, and it decides how you read the results. A difference between two waxes means something only when it is larger than the differences between candles of the same wax. If the three Chunks candles score 2, 4 and 3 for hot throw and the three Soy Pearl candles score 3, 3 and 4, the waxes are not different on throw in your test, however tempting the single best candle looks. If every candle of one wax beats every candle of another, you have a result.

One honest limitation belongs on the first screen too. Holding the wick, load and pour routine identical is fair for a first comparison, but it can disadvantage a wax that would do better with a different wick or temperature. The fixed-formula comparison tells you which wax suits your current formula; if a close runner-up might win with its own wick, run a short optimised round for it afterwards. Whether to compare with the same oil and wick or optimise each wax covers that choice; this page is the protocol for the fixed comparison. When each wax wins a different line, choosing between a throw winner, a smooth-top winner and a heat winner handles the trade-off, and what to test besides melt point lists the lines worth scoring.

What "the same" has to mean, line by line

Each item in the title hides decisions that can quietly break a comparison. The table spells out what "same" means in practice and what usually goes wrong.

Two of these need a word. Pour temperature is the one condition that should not be identical across waxes. CSI's product pages give different figures — pour 58–60°C for CSI 468, 75–80°C in the spec table for Chunks, nothing published for Natural Soy Pearl — and forcing all three to one temperature would test your choice of temperature, not the wax. Hold the process identical instead: each wax at its own maker's figure, same stirring, same pouring order. Pour-temperature windows handles the case where the window itself is the question, and testing in your workshop's real temperature the case where the room is. Load is the other: CSI uses fragrance load as a share of the finished candle, so a 200 g candle at 8% is 16 g of oil and 184 g of wax. Mixing that with "8% of the wax" in one batch gives a true load of 7.41% for that batch and a comparison that is no longer fair.

Removing bias: codes, rotation and rules written first

Blinding is the cheapest thing in the protocol and the one with the biggest effect. Before pouring, give each wax a code — a letter or a colour dot — and write the code, never the name, on the base of every candle. One person keeps the key in a sealed envelope. Everyone who scores throw or appearance works only from codes. In a one-person business the same logic still applies: ask a family member to code the candles and keep the key until all scores are written down.

Position matters too. A candle nearer the door, the window or the person scoring will be judged differently. Rotate positions so each wax occupies each position once across the three burn candles. With three waxes that is a simple rotation:

Finally, write the scoring scales and pass rules before the first candle is lit. "Hot throw 0–5 at one metre after one hour, scored in the doorway of a closed room" is a rule. "Strong" is not. A rule written after the results always bends towards the favourite. CSI publishes no throw data, no numeric flame-height or jar-temperature limits, and this page invents none — your rules are your own standard, written down in advance.

The protocol, step by step

Use the same sheet for all three sessions, then put the three numbers for each wax side by side. For every line, write the lowest and highest score among a wax's three candles — its within-wax spread. A wax beats another on a line only when its worst candle is at least as good as the other wax's best, or when the gap between their averages clearly exceeds both spreads. Anything less is a tie for this test. That is not statistics in the formal sense, but it stops one lucky candle from choosing your wax.

Turning the sheet into a decision

Decide in two steps. First the safety gate: any wax worse than your control on flame, soot, mushrooming or jar heat is out, whatever else it does well. Then a weighted score for the waxes that pass, with weights you set before the test. The weights below are an example only — a maker selling premium gift candles might weight appearance higher; one selling in bulk might weight cost higher.

Cost is the one line you can fill in now, from prices rather than candles. At the 5 kg wax rate and Peach Melon Berry's 1 kg rate (₹4.18/g), with the ₹5.90 wick and ₹70.80 jar, the 200 g test candle costs ₹253.75 in Chunks, ₹221.70 in Natural Soy Pearl and ₹260.74 in CSI 468 (materials only; labour, packaging, freight and GST excluded). Scoring the cheapest as 5 and the others in proportion gives Chunks 4.37, Soy Pearl 5.00, CSI 468 4.25 — an example scale; use any rule you like, as long as you write it down first.

The priced comparison kit

Four candles per wax need 736 g of wax, 772.8 g with a 5% pour-loss allowance (a working assumption). The twelve candles share one Peach Melon Berry bottle lot: 192 g, 201.6 g with allowance.

The oil line is 2 × 100 g + 1 × 15 g because that is the cheapest listed way to 201.6 g — and buying it all at once keeps the whole test on one bottle lot. Peach Melon Berry is used because it is one of the lower-priced oils in CSI's range with a 15 g size and a clear fruity character for a blind panel; any oil you sell will do, as long as it is one oil from one lot.

After the comparison: the purchase, and what comes next

When a wax wins, buy a pilot quantity rather than production stock: for Natural Soy Pearl the 5 kg bag (₹2,124.00) is where the per-kilo price drops; for Chunks a 5 kg bag (₹2,995.00) is the same per kilo as 1 kg; for CSI 468 the 5 kg bag (₹3,185.00) is ₹637.00 a kilo against ₹650.00 at 1 kg. The comparison chooses a candidate; the qualification test is what makes it your standard. If the result is going to drive a supplier decision, choosing between two suppliers' similar samples extends this protocol to supplier factors.

Related questions in choosing a soy wax

This protocol is the measuring tool the rest of the cluster relies on. Its neighbours apply it to particular questions.

Frequently asked questions